From 44bf09553465343ea67c16f50694d8bf854e2a8a Mon Sep 17 00:00:00 2001 From: Gaurav Dadlaney Date: Thu, 9 Apr 2026 01:45:08 -0400 Subject: [PATCH 1/3] Fix major bug in _distribute_weights() to send weights to trainer that has not contributed to the current model version when var = bad. --- .../fwdllm/expts/run_tc_expts/mpi_host_file | 2 +- .../run_tc_expts/run_text_classification.sh | 2 +- .../horizontal/syncfl/fwdllm_aggregator.py | 45 +++++++++++++++++-- .../mode/horizontal/syncfl/fwdllm_trainer.py | 12 +++-- 4 files changed, 48 insertions(+), 13 deletions(-) diff --git a/lib/python/examples/fwdllm/expts/run_tc_expts/mpi_host_file b/lib/python/examples/fwdllm/expts/run_tc_expts/mpi_host_file index 1aa403983..73991df21 100755 --- a/lib/python/examples/fwdllm/expts/run_tc_expts/mpi_host_file +++ b/lib/python/examples/fwdllm/expts/run_tc_expts/mpi_host_file @@ -1 +1 @@ -jayne.cc.gatech.edu +wash.cc.gatech.edu diff --git a/lib/python/examples/fwdllm/expts/run_tc_expts/run_text_classification.sh b/lib/python/examples/fwdllm/expts/run_tc_expts/run_text_classification.sh index 7024a1d27..fac1d8c0b 100755 --- a/lib/python/examples/fwdllm/expts/run_tc_expts/run_text_classification.sh +++ b/lib/python/examples/fwdllm/expts/run_tc_expts/run_text_classification.sh @@ -331,7 +331,7 @@ else fi done - echo "Log files created: \n [Aggregator]: $AGG_LOG_FILE \n [Trainer]: $TRAINER_LOG_FILE" + echo -e "Log files created: \n [Aggregator]: $AGG_LOG_FILE \n [Trainer]: $TRAINER_LOG_FILE" # Start background periodic check (every 30 seconds) # The watchdog will automatically exit if the parent process ($PARENT_PID) dies diff --git a/lib/python/flame/mode/horizontal/syncfl/fwdllm_aggregator.py b/lib/python/flame/mode/horizontal/syncfl/fwdllm_aggregator.py index 419280134..8a638f30f 100644 --- a/lib/python/flame/mode/horizontal/syncfl/fwdllm_aggregator.py +++ b/lib/python/flame/mode/horizontal/syncfl/fwdllm_aggregator.py @@ -212,6 +212,8 @@ def internal_init(self) -> None: """Initialize internal state for role.""" super().internal_init() + self._trainer_last_model_version = {} + self._agg_goal_cnt = 0 self._agg_goal_weights = None self._agg_goal = self.config.hyperparameters.aggregation_goal or 1 @@ -723,6 +725,7 @@ def _process_single_trainer_message(self, channel, msg, end, timestamp): logger.info(f"grad_pool already has: {len(self.grad_pool)}") version = msg.get(MessageType.MODEL_VERSION, "unknown") + self._trainer_last_model_version[end] = version logger.info( f"Received grads from {end}. It was trained on model version {version}, with {count} samples" ) @@ -1065,13 +1068,13 @@ def check_trainer_availability(self, end: str) -> bool: return picked_trainer_is_available @timer_decorator - def _prepare_distribution_payload(self, task_to_perform: str): + def _prepare_distribution_payload(self, task_to_perform: str, force_weights: bool = False): if self.var: logger.info( f"self.var = {self.var}, self.var_threshold = {self.var_threshold}" ) - if not self.var_good_enough: + if not self.var_good_enough and not force_weights: logger.info( "Sending variance = bad to trainers since variance is greater than threshold" ) @@ -1184,10 +1187,27 @@ def _distribute_weights_sync( ) return - payload = self._prepare_distribution_payload(task_to_perform) + payload_var_bad = None + payload_weights = self._prepare_distribution_payload(task_to_perform, force_weights=True) + if not self.var_good_enough: + payload_var_bad = self._prepare_distribution_payload(task_to_perform, force_weights=False) + + self._update_state_after_payload_prepared() for end in ends: + trainer_version = self._trainer_last_model_version.get(end, -1) + is_stale = (trainer_version != self._model_version) + + if self.var_good_enough: + payload = payload_weights + else: + if is_stale: + payload = payload_weights + logger.info(f"Trainer {end} hasn't received weights for model_version {self._model_version} (has {trainer_version}). Sending WEIGHTS payload instead of VAR=bad.") + else: + payload = payload_var_bad + logger.debug( f"Setting channel property {PROP_ROUND_START_TIME} for " f"end {end}. For round {self._round} at time: {datetime.now()}" @@ -1306,7 +1326,11 @@ def _distribute_weights_async( "Sending variance = bad to trainers since variance is greater than threshold" ) - payload = self._prepare_distribution_payload(task_to_perform) + payload_var_bad = None + payload_weights = self._prepare_distribution_payload(task_to_perform, force_weights=True) + if not self.var_good_enough: + payload_var_bad = self._prepare_distribution_payload(task_to_perform, force_weights=False) + self._update_state_after_payload_prepared() if self.var_good_enough: @@ -1315,6 +1339,19 @@ def _distribute_weights_async( ) for end in ends: + trainer_version = self._trainer_last_model_version.get(end, -1) + is_stale = (trainer_version != self._model_version) + + if self.var_good_enough: + payload = payload_weights + else: + if is_stale: + payload = payload_weights + logger.debug("Trainer %s hasn't received weights for model_version %s (has %s). Sending WEIGHTS payload instead of VAR=bad.", end, self._model_version, trainer_version) + else: + payload = payload_var_bad + logger.debug("Trainer %s will be sent a VAR=bad payload.", end) + logger.debug( f"Setting channel property {PROP_ROUND_START_TIME} for " f"end {end}. For round {self._round} at time: {datetime.now()}" diff --git a/lib/python/flame/mode/horizontal/syncfl/fwdllm_trainer.py b/lib/python/flame/mode/horizontal/syncfl/fwdllm_trainer.py index dbde58e50..da5136f7b 100644 --- a/lib/python/flame/mode/horizontal/syncfl/fwdllm_trainer.py +++ b/lib/python/flame/mode/horizontal/syncfl/fwdllm_trainer.py @@ -210,17 +210,11 @@ def _fetch_weights(self, tag: str) -> None: if MessageType.ROUND in msg: self._round = msg[MessageType.ROUND] - if MessageType.MODEL_VERSION in msg: - self._model_version = msg[MessageType.MODEL_VERSION] - logger.info( f"Checking DataID: {self.data_id}| MessageType.DATA_ID in msg: {msg[MessageType.DATA_ID]}| IterationPerDataID: {self.iteration_per_data_id}| MessageType.ITERATION_PER_DATA_ID in msg: {msg[MessageType.ITERATION_PER_DATA_ID]}" ) logger.info(f"isMessageType.Weights?: {MessageType.WEIGHTS in msg}") - if MessageType.MODEL_VERSION in msg: - self._model_version = msg[MessageType.MODEL_VERSION] - if MessageType.DATA_ID in msg and MessageType.ITERATION_PER_DATA_ID in msg: if ( self.data_id is not None @@ -270,7 +264,7 @@ def _fetch_weights(self, tag: str) -> None: # dropped. logger.info("message type weights received") logger.info( - f"Trainer id: {self.trainer_id}|round: {self._round} |model version: {self._model_version} | weights: {list(msg[MessageType.WEIGHTS].keys())} |data id: {msg.get(MessageType.DATA_ID, 'N/A')} | iteration per data id: {msg.get(MessageType.ITERATION_PER_DATA_ID, 'N/A')}" + f"Trainer id: {self.trainer_id}|round: {self._round} |model version: {msg.get(MessageType.MODEL_VERSION, 'Model version is missing!!!')} | weights: {list(msg[MessageType.WEIGHTS].keys())} |data id: {msg.get(MessageType.DATA_ID, 'Data id is missing!!!')} | iteration per data id: {msg.get(MessageType.ITERATION_PER_DATA_ID, 'Iteration per data id is missing!!!')}" ) # if self._round <= self._updates_returned_upto_round: logger.info( @@ -304,6 +298,10 @@ def _fetch_weights(self, tag: str) -> None: self.weights = full_state_dict self._update_model() + if MessageType.MODEL_VERSION in msg: + self._model_version = msg[MessageType.MODEL_VERSION] + logger.info(f"Trainer {self.trainer_id} actually updated local _model_version to {self._model_version} after receiving weights.") + # Helper lambda for a cleaner log format_hash = lambda d: {k: _calculate_hash(v)[:8] for k, v in d.items()} logging.debug(f"Trainer Id : {self.trainer_id} received weights (hashed): {format_hash(self.model.state_dict())}") From 747681eb00af5a3c430c84f88a56ffb6c2e3d7f6 Mon Sep 17 00:00:00 2001 From: Gaurav Dadlaney Date: Thu, 9 Apr 2026 03:13:04 -0400 Subject: [PATCH 2/3] Fix the problem of GRAD_POOL going as None for clients that had stale updates & needed weights & the updated GRAD_POOL to train --- .../horizontal/syncfl/fwdllm_aggregator.py | 25 +++++++++++-------- 1 file changed, 14 insertions(+), 11 deletions(-) diff --git a/lib/python/flame/mode/horizontal/syncfl/fwdllm_aggregator.py b/lib/python/flame/mode/horizontal/syncfl/fwdllm_aggregator.py index 8a638f30f..f94f94e71 100644 --- a/lib/python/flame/mode/horizontal/syncfl/fwdllm_aggregator.py +++ b/lib/python/flame/mode/horizontal/syncfl/fwdllm_aggregator.py @@ -240,6 +240,7 @@ def internal_init(self) -> None: self._is_model_updated = False self._model_version = 0 self.grad_pool = [] + self.cached_shared_grad_pool_trainable = None self.var = None self.ends_not_selected_yet = False self.iteration_per_data_id = 0 @@ -1100,20 +1101,22 @@ def _prepare_distribution_payload(self, task_to_perform: str, force_weights: boo trainable_params, DeviceType.CPU ) # Need to move to CPU for sending over MQTT - shared_grad_pool = self.aggregate_grad_pool(self.grad_pool) - shared_grad_pool_trainable = [] - if shared_grad_pool is None: - shared_grad_pool_trainable = None - else: - idx = 0 - for param in self.model.parameters(): - if param.requires_grad: - shared_grad_pool_trainable.append(shared_grad_pool[idx].clone()) - idx += 1 + if self._is_model_updated: + shared_grad_pool = self.aggregate_grad_pool(self.grad_pool) + shared_grad_pool_trainable = [] + if shared_grad_pool is None: + shared_grad_pool_trainable = None + else: + idx = 0 + for param in self.model.parameters(): + if param.requires_grad: + shared_grad_pool_trainable.append(shared_grad_pool[idx].clone()) + idx += 1 + self.cached_shared_grad_pool_trainable = shared_grad_pool_trainable payload = { MessageType.WEIGHTS: shared_weights, - MessageType.GRAD_POOL: shared_grad_pool_trainable, + MessageType.GRAD_POOL: self.cached_shared_grad_pool_trainable, MessageType.ROUND: self._round, MessageType.MODEL_VERSION: self._model_version, MessageType.TASK_TO_PERFORM: task_to_perform, From 728da3c9f4f12e40cbbe356a141022952ad7c226 Mon Sep 17 00:00:00 2001 From: Gaurav Dadlaney Date: Thu, 9 Apr 2026 00:53:55 -0400 Subject: [PATCH 3/3] Temp commit that investigates whether scaling to 200 perturbations adds value. Moved perturbation generation to Cuda from CPU to reduce worst waruntimes by 8x --- .../run_tc_expts/json_scripts/aggregator.json | 4 +- .../run_tc_expts/json_scripts/trainer_0.json | 2 +- .../run_tc_expts/json_scripts/trainer_1.json | 2 +- .../run_tc_expts/json_scripts/trainer_10.json | 2 +- .../json_scripts/trainer_100.json | 2 +- .../json_scripts/trainer_101.json | 2 +- .../json_scripts/trainer_102.json | 2 +- .../json_scripts/trainer_103.json | 2 +- .../json_scripts/trainer_104.json | 2 +- .../json_scripts/trainer_105.json | 2 +- .../json_scripts/trainer_106.json | 2 +- .../json_scripts/trainer_107.json | 2 +- .../json_scripts/trainer_108.json | 2 +- .../json_scripts/trainer_109.json | 2 +- .../run_tc_expts/json_scripts/trainer_11.json | 2 +- .../json_scripts/trainer_110.json | 2 +- .../json_scripts/trainer_111.json | 2 +- .../json_scripts/trainer_112.json | 2 +- .../json_scripts/trainer_113.json | 2 +- .../json_scripts/trainer_114.json | 2 +- .../json_scripts/trainer_115.json | 2 +- .../json_scripts/trainer_116.json | 2 +- .../json_scripts/trainer_117.json | 2 +- .../json_scripts/trainer_118.json | 2 +- .../json_scripts/trainer_119.json | 2 +- .../run_tc_expts/json_scripts/trainer_12.json | 2 +- .../json_scripts/trainer_120.json | 2 +- .../json_scripts/trainer_121.json | 2 +- .../json_scripts/trainer_122.json | 2 +- .../json_scripts/trainer_123.json | 2 +- .../json_scripts/trainer_124.json | 2 +- .../json_scripts/trainer_125.json | 2 +- .../json_scripts/trainer_126.json | 2 +- .../json_scripts/trainer_127.json | 2 +- .../json_scripts/trainer_128.json | 2 +- .../json_scripts/trainer_129.json | 2 +- .../run_tc_expts/json_scripts/trainer_13.json | 2 +- .../json_scripts/trainer_130.json | 2 +- .../json_scripts/trainer_131.json | 2 +- .../json_scripts/trainer_132.json | 2 +- .../json_scripts/trainer_133.json | 2 +- .../json_scripts/trainer_134.json | 2 +- .../json_scripts/trainer_135.json | 2 +- .../json_scripts/trainer_136.json | 2 +- .../json_scripts/trainer_137.json | 2 +- .../json_scripts/trainer_138.json | 2 +- .../json_scripts/trainer_139.json | 2 +- .../run_tc_expts/json_scripts/trainer_14.json | 2 +- .../json_scripts/trainer_140.json | 2 +- .../json_scripts/trainer_141.json | 2 +- .../json_scripts/trainer_142.json | 2 +- .../json_scripts/trainer_143.json | 2 +- .../json_scripts/trainer_144.json | 2 +- .../json_scripts/trainer_145.json | 2 +- .../json_scripts/trainer_146.json | 2 +- .../json_scripts/trainer_147.json | 2 +- .../json_scripts/trainer_148.json | 2 +- .../json_scripts/trainer_149.json | 2 +- .../run_tc_expts/json_scripts/trainer_15.json | 2 +- .../run_tc_expts/json_scripts/trainer_16.json | 2 +- .../run_tc_expts/json_scripts/trainer_17.json | 2 +- .../run_tc_expts/json_scripts/trainer_18.json | 2 +- .../run_tc_expts/json_scripts/trainer_19.json | 2 +- .../run_tc_expts/json_scripts/trainer_2.json | 2 +- .../run_tc_expts/json_scripts/trainer_20.json | 2 +- .../run_tc_expts/json_scripts/trainer_21.json | 2 +- .../run_tc_expts/json_scripts/trainer_22.json | 2 +- .../run_tc_expts/json_scripts/trainer_23.json | 2 +- .../run_tc_expts/json_scripts/trainer_24.json | 2 +- .../run_tc_expts/json_scripts/trainer_25.json | 2 +- .../run_tc_expts/json_scripts/trainer_26.json | 2 +- .../run_tc_expts/json_scripts/trainer_27.json | 2 +- .../run_tc_expts/json_scripts/trainer_28.json | 2 +- .../run_tc_expts/json_scripts/trainer_29.json | 2 +- .../run_tc_expts/json_scripts/trainer_3.json | 2 +- .../run_tc_expts/json_scripts/trainer_30.json | 2 +- .../run_tc_expts/json_scripts/trainer_31.json | 2 +- .../run_tc_expts/json_scripts/trainer_32.json | 2 +- .../run_tc_expts/json_scripts/trainer_33.json | 2 +- .../run_tc_expts/json_scripts/trainer_34.json | 2 +- .../run_tc_expts/json_scripts/trainer_35.json | 2 +- .../run_tc_expts/json_scripts/trainer_36.json | 2 +- .../run_tc_expts/json_scripts/trainer_37.json | 2 +- .../run_tc_expts/json_scripts/trainer_38.json | 2 +- .../run_tc_expts/json_scripts/trainer_39.json | 2 +- .../run_tc_expts/json_scripts/trainer_4.json | 2 +- .../run_tc_expts/json_scripts/trainer_40.json | 2 +- .../run_tc_expts/json_scripts/trainer_41.json | 2 +- .../run_tc_expts/json_scripts/trainer_42.json | 2 +- .../run_tc_expts/json_scripts/trainer_43.json | 2 +- .../run_tc_expts/json_scripts/trainer_44.json | 2 +- .../run_tc_expts/json_scripts/trainer_45.json | 2 +- .../run_tc_expts/json_scripts/trainer_46.json | 2 +- .../run_tc_expts/json_scripts/trainer_47.json | 2 +- .../run_tc_expts/json_scripts/trainer_48.json | 2 +- .../run_tc_expts/json_scripts/trainer_49.json | 2 +- .../run_tc_expts/json_scripts/trainer_5.json | 2 +- .../run_tc_expts/json_scripts/trainer_50.json | 2 +- .../run_tc_expts/json_scripts/trainer_51.json | 2 +- .../run_tc_expts/json_scripts/trainer_52.json | 2 +- .../run_tc_expts/json_scripts/trainer_53.json | 2 +- .../run_tc_expts/json_scripts/trainer_54.json | 2 +- .../run_tc_expts/json_scripts/trainer_55.json | 2 +- .../run_tc_expts/json_scripts/trainer_56.json | 2 +- .../run_tc_expts/json_scripts/trainer_57.json | 2 +- .../run_tc_expts/json_scripts/trainer_58.json | 2 +- .../run_tc_expts/json_scripts/trainer_59.json | 2 +- .../run_tc_expts/json_scripts/trainer_6.json | 2 +- .../run_tc_expts/json_scripts/trainer_60.json | 2 +- .../run_tc_expts/json_scripts/trainer_61.json | 2 +- .../run_tc_expts/json_scripts/trainer_62.json | 2 +- .../run_tc_expts/json_scripts/trainer_63.json | 2 +- .../run_tc_expts/json_scripts/trainer_64.json | 2 +- .../run_tc_expts/json_scripts/trainer_65.json | 2 +- .../run_tc_expts/json_scripts/trainer_66.json | 2 +- .../run_tc_expts/json_scripts/trainer_67.json | 2 +- .../run_tc_expts/json_scripts/trainer_68.json | 2 +- .../run_tc_expts/json_scripts/trainer_69.json | 2 +- .../run_tc_expts/json_scripts/trainer_7.json | 2 +- .../run_tc_expts/json_scripts/trainer_70.json | 2 +- .../run_tc_expts/json_scripts/trainer_71.json | 2 +- .../run_tc_expts/json_scripts/trainer_72.json | 2 +- .../run_tc_expts/json_scripts/trainer_73.json | 2 +- .../run_tc_expts/json_scripts/trainer_74.json | 2 +- .../run_tc_expts/json_scripts/trainer_75.json | 2 +- .../run_tc_expts/json_scripts/trainer_76.json | 2 +- .../run_tc_expts/json_scripts/trainer_77.json | 2 +- .../run_tc_expts/json_scripts/trainer_78.json | 2 +- .../run_tc_expts/json_scripts/trainer_79.json | 2 +- .../run_tc_expts/json_scripts/trainer_8.json | 2 +- .../run_tc_expts/json_scripts/trainer_80.json | 2 +- .../run_tc_expts/json_scripts/trainer_81.json | 2 +- .../run_tc_expts/json_scripts/trainer_82.json | 2 +- .../run_tc_expts/json_scripts/trainer_83.json | 2 +- .../run_tc_expts/json_scripts/trainer_84.json | 2 +- .../run_tc_expts/json_scripts/trainer_85.json | 2 +- .../run_tc_expts/json_scripts/trainer_86.json | 2 +- .../run_tc_expts/json_scripts/trainer_87.json | 2 +- .../run_tc_expts/json_scripts/trainer_88.json | 2 +- .../run_tc_expts/json_scripts/trainer_89.json | 2 +- .../run_tc_expts/json_scripts/trainer_9.json | 2 +- .../run_tc_expts/json_scripts/trainer_90.json | 2 +- .../run_tc_expts/json_scripts/trainer_91.json | 2 +- .../run_tc_expts/json_scripts/trainer_92.json | 2 +- .../run_tc_expts/json_scripts/trainer_93.json | 2 +- .../run_tc_expts/json_scripts/trainer_94.json | 2 +- .../run_tc_expts/json_scripts/trainer_95.json | 2 +- .../run_tc_expts/json_scripts/trainer_96.json | 2 +- .../run_tc_expts/json_scripts/trainer_97.json | 2 +- .../run_tc_expts/json_scripts/trainer_98.json | 2 +- .../run_tc_expts/json_scripts/trainer_99.json | 2 +- .../trainer/forward_training/fwdgrad_utils.py | 9 +- .../tc_transformer_trainer_distribute.py | 56 +---- .../mode/horizontal/syncfl/fwdllm_trainer.py | 46 ++-- scripts/eval_perf_analysis.ipynb | 201 ++++++++++++++++++ scripts/eval_perf_analysis.py | 139 ++++++++++++ 156 files changed, 538 insertions(+), 217 deletions(-) create mode 100644 scripts/eval_perf_analysis.ipynb create mode 100644 scripts/eval_perf_analysis.py diff --git a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/aggregator.json b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/aggregator.json index 97f021deb..a2972d4cc 100644 --- a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/aggregator.json +++ b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/aggregator.json @@ -104,7 +104,7 @@ "uri": "" }, "selector": { - "sort": "async_oort", + "sort": "async_random", "kwargs": { "//": "c: concurrency level", "c": 30, @@ -112,7 +112,7 @@ "evalGoalFactor": 0, "selectType": "default", "roundNudgeType": "last_eval", - "minInitialTrainers": 10, + "minInitialTrainers": 30, "k": 10, "is_async": true } diff --git a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_0.json b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_0.json index f364aaff5..e62ed202a 100644 --- a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_0.json +++ b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_0.json @@ -81,7 +81,7 @@ "manual_seed": 42, "client_num_in_total": 0, "warmup_ratio": 1, - "training_delay_enabled": "True", + "training_delay_enabled": "False", "training_delay_factor": "10", "training_delay_s": "4.0", "avl_events_mobiperf_3st_50": "[(0, 'AVL_TRAIN'), (300, 'UN_AVL'), (319273, 'AVL_EVAL'), (335119, 'AVL_TRAIN'), (338559, 'AVL_EVAL'), (344104, 'UN_AVL'), (345589, 'AVL_TRAIN'), (345593, 'UN_AVL'), (345607, 'AVL_TRAIN'), (348282, 'AVL_EVAL'), (362502, 'UN_AVL'), (385856, 'AVL_TRAIN'), (388120, 'AVL_EVAL'), (390794, 'AVL_TRAIN'), (393354, 'AVL_EVAL'), (398433, 'AVL_TRAIN'), (400757, 'UN_AVL')]", diff --git a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_1.json b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_1.json index 7a0c5fcd6..c573f62a9 100644 --- a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_1.json +++ b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_1.json @@ -81,7 +81,7 @@ "manual_seed": 42, "client_num_in_total": 0, "warmup_ratio": 1, - "training_delay_enabled": "True", + "training_delay_enabled": "False", "training_delay_factor": "10", "training_delay_s": "16.0", "avl_events_mobiperf_3st_50": "[(0, 'AVL_TRAIN'), (250, 'UN_AVL'), (1053, 'AVL_TRAIN'), (7162, 'AVL_EVAL'), (25536, 'UN_AVL'), (25536, 'AVL_TRAIN'), (28540, 'AVL_EVAL'), (41113, 'AVL_TRAIN'), (46728, 'AVL_EVAL'), (46729, 'AVL_TRAIN'), (49430, 'AVL_EVAL'), (70897, 'UN_AVL'), (82393, 'AVL_TRAIN'), (82416, 'UN_AVL'), (82418, 'AVL_TRAIN'), (82771, 'UN_AVL'), (82773, 'AVL_TRAIN'), (85462, 'UN_AVL'), (85464, 'AVL_TRAIN'), (87018, 'UN_AVL'), (87019, 'AVL_TRAIN'), (87422, 'UN_AVL'), (87424, 'AVL_TRAIN'), (87593, 'UN_AVL'), (87593, 'AVL_TRAIN'), (87603, 'UN_AVL'), (87881, 'AVL_TRAIN'), (87942, 'UN_AVL'), (87986, 'AVL_TRAIN'), (88540, 'UN_AVL'), (88678, 'AVL_TRAIN'), (88944, 'UN_AVL'), (90360, 'AVL_EVAL'), (90360, 'AVL_TRAIN'), (90381, 'AVL_EVAL'), (91048, 'UN_AVL'), (99745, 'AVL_TRAIN'), (100257, 'UN_AVL'), (100258, 'AVL_TRAIN'), (100557, 'UN_AVL'), (100558, 'AVL_TRAIN'), (104033, 'UN_AVL'), (104048, 'AVL_TRAIN'), (105450, 'UN_AVL'), (105741, 'AVL_TRAIN'), (107180, 'UN_AVL'), (109017, 'AVL_TRAIN'), (112236, 'UN_AVL'), (112236, 'AVL_TRAIN'), (136022, 'AVL_EVAL'), (160213, 'UN_AVL'), (164156, 'AVL_TRAIN'), (164594, 'UN_AVL'), (164651, 'AVL_TRAIN'), (166084, 'AVL_EVAL'), (173372, 'AVL_TRAIN'), (179115, 'AVL_EVAL'), (190676, 'AVL_TRAIN'), (214769, 'AVL_EVAL'), (214770, 'AVL_TRAIN'), (214773, 'AVL_EVAL'), (236404, 'UN_AVL'), (236404, 'AVL_TRAIN'), (238132, 'AVL_EVAL'), (240851, 'AVL_TRAIN'), (240936, 'AVL_EVAL'), (240975, 'AVL_TRAIN'), (247016, 'AVL_EVAL'), (261220, 'AVL_TRAIN'), (261795, 'AVL_EVAL'), (261795, 'AVL_TRAIN'), (264001, 'AVL_EVAL'), (264002, 'AVL_TRAIN'), (264003, 'AVL_EVAL'), (305427, 'AVL_TRAIN'), (310176, 'AVL_EVAL'), (310210, 'AVL_TRAIN'), (310213, 'AVL_EVAL'), (310765, 'AVL_TRAIN'), (312095, 'AVL_EVAL'), (312095, 'AVL_TRAIN'), (312105, 'AVL_EVAL'), (317629, 'AVL_TRAIN'), (317635, 'AVL_EVAL'), (317636, 'AVL_TRAIN'), (317637, 'AVL_EVAL'), (317637, 'AVL_TRAIN'), (317638, 'AVL_EVAL'), (317638, 'AVL_TRAIN'), (317639, 'AVL_EVAL'), (317639, 'AVL_TRAIN'), (317642, 'AVL_EVAL'), (317642, 'AVL_TRAIN'), (317645, 'AVL_EVAL'), (317647, 'AVL_TRAIN'), (317659, 'AVL_EVAL'), (317678, 'AVL_TRAIN'), (318323, 'AVL_EVAL'), (332409, 'UN_AVL'), (336461, 'AVL_TRAIN'), (341841, 'AVL_EVAL'), (341846, 'AVL_TRAIN'), (341992, 'AVL_EVAL'), (342694, 'AVL_TRAIN'), (344375, 'AVL_EVAL'), (346579, 'AVL_TRAIN'), (347263, 'AVL_EVAL'), (357902, 'UN_AVL'), (364184, 'AVL_TRAIN'), (364887, 'UN_AVL'), (386041, 'AVL_TRAIN'), (394420, 'AVL_EVAL'), (418953, 'UN_AVL'), (421325, 'AVL_TRAIN'), (425216, 'AVL_EVAL'), (425217, 'AVL_TRAIN'), (425541, 'AVL_EVAL'), (425542, 'AVL_TRAIN'), (425543, 'AVL_EVAL'), (434131, 'AVL_TRAIN'), (435716, 'AVL_EVAL'), (435720, 'AVL_TRAIN'), (438737, 'AVL_EVAL'), (449946, 'UN_AVL'), (472426, 'AVL_TRAIN'), (473276, 'UN_AVL'), (473287, 'AVL_TRAIN'), (474779, 'AVL_EVAL'), (475599, 'AVL_TRAIN'), (478630, 'AVL_EVAL'), (481838, 'AVL_TRAIN'), (481859, 'AVL_EVAL'), (483147, 'UN_AVL')]", diff --git a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_10.json b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_10.json index 61696edde..0463ef1c0 100644 --- a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_10.json +++ b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_10.json @@ -81,7 +81,7 @@ "manual_seed": 42, "client_num_in_total": 0, "warmup_ratio": 1, - "training_delay_enabled": "True", + "training_delay_enabled": "False", "training_delay_factor": "10", "training_delay_s": "11.0", "avl_events_mobiperf_3st_50": "[(0, 'AVL_TRAIN'), (300, 'UN_AVL'), (12839, 'AVL_EVAL'), (62636, 'AVL_TRAIN'), (71903, 'AVL_EVAL'), (135083, 'UN_AVL'), (156109, 'AVL_TRAIN'), (164237, 'AVL_EVAL'), (189998, 'AVL_TRAIN'), (191541, 'AVL_EVAL'), (191547, 'AVL_TRAIN'), (191550, 'AVL_EVAL'), (191876, 'AVL_TRAIN'), (204944, 'AVL_EVAL'), (204947, 'AVL_TRAIN'), (205073, 'AVL_EVAL'), (205077, 'AVL_TRAIN'), (205079, 'AVL_EVAL'), (205376, 'AVL_TRAIN'), (205381, 'AVL_EVAL'), (205386, 'AVL_TRAIN'), (205425, 'AVL_EVAL'), (205428, 'AVL_TRAIN'), (205640, 'AVL_EVAL'), (205644, 'AVL_TRAIN'), (205651, 'AVL_EVAL'), (210583, 'AVL_TRAIN'), (223064, 'AVL_EVAL'), (276050, 'UN_AVL'), (326481, 'AVL_EVAL'), (331715, 'UN_AVL')]", diff --git a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_100.json b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_100.json index 026db436d..2c0e416ed 100644 --- a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_100.json +++ b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_100.json @@ -81,7 +81,7 @@ "manual_seed": 42, "client_num_in_total": 0, "warmup_ratio": 1, - "training_delay_enabled": "True", + "training_delay_enabled": "False", "training_delay_factor": "10", "training_delay_s": "4.0", "avl_events_mobiperf_3st_50": "[(0, 'AVL_TRAIN'), (227, 'AVL_EVAL'), (1757, 'AVL_TRAIN'), (2266, 'AVL_EVAL'), (15753, 'UN_AVL'), (75638, 'AVL_TRAIN'), (76263, 'UN_AVL'), (77006, 'AVL_TRAIN'), (78334, 'UN_AVL'), (78346, 'AVL_TRAIN'), (78405, 'UN_AVL'), (78406, 'AVL_TRAIN'), (78543, 'UN_AVL'), (78549, 'AVL_TRAIN'), (79377, 'UN_AVL'), (79379, 'AVL_TRAIN'), (79486, 'UN_AVL'), (79495, 'AVL_TRAIN'), (79791, 'UN_AVL'), (79796, 'AVL_TRAIN'), (80059, 'UN_AVL'), (80071, 'AVL_TRAIN'), (80937, 'UN_AVL'), (80967, 'AVL_TRAIN'), (80978, 'UN_AVL'), (80979, 'AVL_TRAIN'), (81195, 'UN_AVL'), (81206, 'AVL_TRAIN'), (85845, 'AVL_EVAL'), (86392, 'AVL_TRAIN'), (87189, 'AVL_EVAL'), (89364, 'AVL_TRAIN'), (89365, 'AVL_EVAL'), (97105, 'UN_AVL'), (102534, 'AVL_TRAIN'), (124202, 'AVL_EVAL'), (160572, 'UN_AVL'), (168151, 'AVL_TRAIN'), (168659, 'UN_AVL'), (168714, 'AVL_TRAIN'), (169183, 'UN_AVL'), (170940, 'AVL_TRAIN'), (171086, 'UN_AVL'), (172784, 'AVL_TRAIN')]", diff --git a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_101.json b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_101.json index fb4d188f5..364b1c083 100644 --- a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_101.json +++ b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_101.json @@ -81,7 +81,7 @@ "manual_seed": 42, "client_num_in_total": 0, "warmup_ratio": 1, - "training_delay_enabled": "True", + "training_delay_enabled": "False", "training_delay_factor": "10", "training_delay_s": "20.0", "avl_events_mobiperf_3st_50": "[(0, 'AVL_TRAIN'), (227, 'AVL_EVAL'), (1757, 'AVL_TRAIN'), (2266, 'AVL_EVAL'), (15753, 'UN_AVL'), (75638, 'AVL_TRAIN'), (76263, 'UN_AVL'), (77006, 'AVL_TRAIN'), (78334, 'UN_AVL'), (78346, 'AVL_TRAIN'), (78405, 'UN_AVL'), (78406, 'AVL_TRAIN'), (78543, 'UN_AVL'), (78549, 'AVL_TRAIN'), (79377, 'UN_AVL'), (79379, 'AVL_TRAIN'), (79486, 'UN_AVL'), (79495, 'AVL_TRAIN'), (79791, 'UN_AVL'), (79796, 'AVL_TRAIN'), (80059, 'UN_AVL'), (80071, 'AVL_TRAIN'), (80937, 'UN_AVL'), (80967, 'AVL_TRAIN'), (80978, 'UN_AVL'), (80979, 'AVL_TRAIN'), (81195, 'UN_AVL'), (81206, 'AVL_TRAIN'), (85845, 'AVL_EVAL'), (86392, 'AVL_TRAIN'), (87189, 'AVL_EVAL'), (89364, 'AVL_TRAIN'), (89365, 'AVL_EVAL'), (97105, 'UN_AVL'), (102534, 'AVL_TRAIN'), (124202, 'AVL_EVAL'), (160572, 'UN_AVL'), (168151, 'AVL_TRAIN'), (168659, 'UN_AVL'), (168714, 'AVL_TRAIN'), (169183, 'UN_AVL'), (170940, 'AVL_TRAIN'), (171086, 'UN_AVL'), (172784, 'AVL_TRAIN')]", diff --git a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_102.json b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_102.json index 2844ec920..dcbe1daf3 100644 --- a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_102.json +++ b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_102.json @@ -81,7 +81,7 @@ "manual_seed": 42, "client_num_in_total": 0, "warmup_ratio": 1, - "training_delay_enabled": "True", + "training_delay_enabled": "False", "training_delay_factor": "10", "training_delay_s": "3.0", "avl_events_mobiperf_3st_50": "[(0, 'AVL_TRAIN'), (227, 'AVL_EVAL'), (1757, 'AVL_TRAIN'), (2266, 'AVL_EVAL'), (15753, 'UN_AVL'), (75638, 'AVL_TRAIN'), (76263, 'UN_AVL'), (77006, 'AVL_TRAIN'), (78334, 'UN_AVL'), (78346, 'AVL_TRAIN'), (78405, 'UN_AVL'), (78406, 'AVL_TRAIN'), (78543, 'UN_AVL'), (78549, 'AVL_TRAIN'), (79377, 'UN_AVL'), (79379, 'AVL_TRAIN'), (79486, 'UN_AVL'), (79495, 'AVL_TRAIN'), (79791, 'UN_AVL'), (79796, 'AVL_TRAIN'), (80059, 'UN_AVL'), (80071, 'AVL_TRAIN'), (80937, 'UN_AVL'), (80967, 'AVL_TRAIN'), (80978, 'UN_AVL'), (80979, 'AVL_TRAIN'), (81195, 'UN_AVL'), (81206, 'AVL_TRAIN'), (85845, 'AVL_EVAL'), (86392, 'AVL_TRAIN'), (87189, 'AVL_EVAL'), (89364, 'AVL_TRAIN'), (89365, 'AVL_EVAL'), (97105, 'UN_AVL'), (102534, 'AVL_TRAIN'), (124202, 'AVL_EVAL'), (160572, 'UN_AVL'), (168151, 'AVL_TRAIN'), (168659, 'UN_AVL'), (168714, 'AVL_TRAIN'), (169183, 'UN_AVL'), (170940, 'AVL_TRAIN'), (171086, 'UN_AVL'), (172784, 'AVL_TRAIN')]", diff --git a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_103.json b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_103.json index 679011fa8..b79862306 100644 --- a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_103.json +++ b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_103.json @@ -81,7 +81,7 @@ "manual_seed": 42, "client_num_in_total": 0, "warmup_ratio": 1, - "training_delay_enabled": "True", + "training_delay_enabled": "False", "training_delay_factor": "10", "training_delay_s": "17.0", "avl_events_mobiperf_3st_50": "[(0, 'AVL_TRAIN'), (227, 'AVL_EVAL'), (1757, 'AVL_TRAIN'), (2266, 'AVL_EVAL'), (15753, 'UN_AVL'), (75638, 'AVL_TRAIN'), (76263, 'UN_AVL'), (77006, 'AVL_TRAIN'), (78334, 'UN_AVL'), (78346, 'AVL_TRAIN'), (78405, 'UN_AVL'), (78406, 'AVL_TRAIN'), (78543, 'UN_AVL'), (78549, 'AVL_TRAIN'), (79377, 'UN_AVL'), (79379, 'AVL_TRAIN'), (79486, 'UN_AVL'), (79495, 'AVL_TRAIN'), (79791, 'UN_AVL'), (79796, 'AVL_TRAIN'), (80059, 'UN_AVL'), (80071, 'AVL_TRAIN'), (80937, 'UN_AVL'), (80967, 'AVL_TRAIN'), (80978, 'UN_AVL'), (80979, 'AVL_TRAIN'), (81195, 'UN_AVL'), (81206, 'AVL_TRAIN'), (85845, 'AVL_EVAL'), (86392, 'AVL_TRAIN'), (87189, 'AVL_EVAL'), (89364, 'AVL_TRAIN'), (89365, 'AVL_EVAL'), (97105, 'UN_AVL'), (102534, 'AVL_TRAIN'), (124202, 'AVL_EVAL'), (160572, 'UN_AVL'), (168151, 'AVL_TRAIN'), (168659, 'UN_AVL'), (168714, 'AVL_TRAIN'), (169183, 'UN_AVL'), (170940, 'AVL_TRAIN'), (171086, 'UN_AVL'), (172784, 'AVL_TRAIN')]", diff --git a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_104.json b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_104.json index 7fe442241..68feb7838 100644 --- a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_104.json +++ b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_104.json @@ -81,7 +81,7 @@ "manual_seed": 42, "client_num_in_total": 0, "warmup_ratio": 1, - "training_delay_enabled": "True", + "training_delay_enabled": "False", "training_delay_factor": "10", "training_delay_s": "4.0", "avl_events_mobiperf_3st_50": "[(0, 'AVL_TRAIN'), (227, 'AVL_EVAL'), (1757, 'AVL_TRAIN'), (2266, 'AVL_EVAL'), (15753, 'UN_AVL'), (75638, 'AVL_TRAIN'), (76263, 'UN_AVL'), (77006, 'AVL_TRAIN'), (78334, 'UN_AVL'), (78346, 'AVL_TRAIN'), (78405, 'UN_AVL'), (78406, 'AVL_TRAIN'), (78543, 'UN_AVL'), (78549, 'AVL_TRAIN'), (79377, 'UN_AVL'), (79379, 'AVL_TRAIN'), (79486, 'UN_AVL'), (79495, 'AVL_TRAIN'), (79791, 'UN_AVL'), (79796, 'AVL_TRAIN'), (80059, 'UN_AVL'), (80071, 'AVL_TRAIN'), (80937, 'UN_AVL'), (80967, 'AVL_TRAIN'), (80978, 'UN_AVL'), (80979, 'AVL_TRAIN'), (81195, 'UN_AVL'), (81206, 'AVL_TRAIN'), (85845, 'AVL_EVAL'), (86392, 'AVL_TRAIN'), (87189, 'AVL_EVAL'), (89364, 'AVL_TRAIN'), (89365, 'AVL_EVAL'), (97105, 'UN_AVL'), (102534, 'AVL_TRAIN'), (124202, 'AVL_EVAL'), (160572, 'UN_AVL'), (168151, 'AVL_TRAIN'), (168659, 'UN_AVL'), (168714, 'AVL_TRAIN'), (169183, 'UN_AVL'), (170940, 'AVL_TRAIN'), (171086, 'UN_AVL'), (172784, 'AVL_TRAIN')]", diff --git a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_105.json b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_105.json index d05775c43..7aa604a3a 100644 --- a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_105.json +++ b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_105.json @@ -81,7 +81,7 @@ "manual_seed": 42, "client_num_in_total": 0, "warmup_ratio": 1, - "training_delay_enabled": "True", + "training_delay_enabled": "False", "training_delay_factor": "10", "training_delay_s": "26.0", "avl_events_mobiperf_3st_50": "[(0, 'AVL_TRAIN'), (227, 'AVL_EVAL'), (1757, 'AVL_TRAIN'), (2266, 'AVL_EVAL'), (15753, 'UN_AVL'), (75638, 'AVL_TRAIN'), (76263, 'UN_AVL'), (77006, 'AVL_TRAIN'), (78334, 'UN_AVL'), (78346, 'AVL_TRAIN'), (78405, 'UN_AVL'), (78406, 'AVL_TRAIN'), (78543, 'UN_AVL'), (78549, 'AVL_TRAIN'), (79377, 'UN_AVL'), (79379, 'AVL_TRAIN'), (79486, 'UN_AVL'), (79495, 'AVL_TRAIN'), (79791, 'UN_AVL'), (79796, 'AVL_TRAIN'), (80059, 'UN_AVL'), (80071, 'AVL_TRAIN'), (80937, 'UN_AVL'), (80967, 'AVL_TRAIN'), (80978, 'UN_AVL'), (80979, 'AVL_TRAIN'), (81195, 'UN_AVL'), (81206, 'AVL_TRAIN'), (85845, 'AVL_EVAL'), (86392, 'AVL_TRAIN'), (87189, 'AVL_EVAL'), (89364, 'AVL_TRAIN'), (89365, 'AVL_EVAL'), (97105, 'UN_AVL'), (102534, 'AVL_TRAIN'), (124202, 'AVL_EVAL'), (160572, 'UN_AVL'), (168151, 'AVL_TRAIN'), (168659, 'UN_AVL'), (168714, 'AVL_TRAIN'), (169183, 'UN_AVL'), (170940, 'AVL_TRAIN'), (171086, 'UN_AVL'), (172784, 'AVL_TRAIN')]", diff --git a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_106.json b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_106.json index 2d0346860..c02c3cd1b 100644 --- a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_106.json +++ b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_106.json @@ -81,7 +81,7 @@ "manual_seed": 42, "client_num_in_total": 0, "warmup_ratio": 1, - "training_delay_enabled": "True", + "training_delay_enabled": "False", "training_delay_factor": "10", "training_delay_s": "11.0", "avl_events_mobiperf_3st_50": "[(0, 'AVL_TRAIN'), (227, 'AVL_EVAL'), (1757, 'AVL_TRAIN'), (2266, 'AVL_EVAL'), (15753, 'UN_AVL'), (75638, 'AVL_TRAIN'), (76263, 'UN_AVL'), (77006, 'AVL_TRAIN'), (78334, 'UN_AVL'), (78346, 'AVL_TRAIN'), (78405, 'UN_AVL'), (78406, 'AVL_TRAIN'), (78543, 'UN_AVL'), (78549, 'AVL_TRAIN'), (79377, 'UN_AVL'), (79379, 'AVL_TRAIN'), (79486, 'UN_AVL'), (79495, 'AVL_TRAIN'), (79791, 'UN_AVL'), (79796, 'AVL_TRAIN'), (80059, 'UN_AVL'), (80071, 'AVL_TRAIN'), (80937, 'UN_AVL'), (80967, 'AVL_TRAIN'), (80978, 'UN_AVL'), (80979, 'AVL_TRAIN'), (81195, 'UN_AVL'), (81206, 'AVL_TRAIN'), (85845, 'AVL_EVAL'), (86392, 'AVL_TRAIN'), (87189, 'AVL_EVAL'), (89364, 'AVL_TRAIN'), (89365, 'AVL_EVAL'), (97105, 'UN_AVL'), (102534, 'AVL_TRAIN'), (124202, 'AVL_EVAL'), (160572, 'UN_AVL'), (168151, 'AVL_TRAIN'), (168659, 'UN_AVL'), (168714, 'AVL_TRAIN'), (169183, 'UN_AVL'), (170940, 'AVL_TRAIN'), (171086, 'UN_AVL'), (172784, 'AVL_TRAIN')]", diff --git a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_107.json b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_107.json index 0c47df068..f5c3d446e 100644 --- a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_107.json +++ b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_107.json @@ -81,7 +81,7 @@ "manual_seed": 42, "client_num_in_total": 0, "warmup_ratio": 1, - "training_delay_enabled": "True", + "training_delay_enabled": "False", "training_delay_factor": "10", "training_delay_s": "7.0", "avl_events_mobiperf_3st_50": "[(0, 'AVL_TRAIN'), (227, 'AVL_EVAL'), (1757, 'AVL_TRAIN'), (2266, 'AVL_EVAL'), (15753, 'UN_AVL'), (75638, 'AVL_TRAIN'), (76263, 'UN_AVL'), (77006, 'AVL_TRAIN'), (78334, 'UN_AVL'), (78346, 'AVL_TRAIN'), (78405, 'UN_AVL'), (78406, 'AVL_TRAIN'), (78543, 'UN_AVL'), (78549, 'AVL_TRAIN'), (79377, 'UN_AVL'), (79379, 'AVL_TRAIN'), (79486, 'UN_AVL'), (79495, 'AVL_TRAIN'), (79791, 'UN_AVL'), (79796, 'AVL_TRAIN'), (80059, 'UN_AVL'), (80071, 'AVL_TRAIN'), (80937, 'UN_AVL'), (80967, 'AVL_TRAIN'), (80978, 'UN_AVL'), (80979, 'AVL_TRAIN'), (81195, 'UN_AVL'), (81206, 'AVL_TRAIN'), (85845, 'AVL_EVAL'), (86392, 'AVL_TRAIN'), (87189, 'AVL_EVAL'), (89364, 'AVL_TRAIN'), (89365, 'AVL_EVAL'), (97105, 'UN_AVL'), (102534, 'AVL_TRAIN'), (124202, 'AVL_EVAL'), (160572, 'UN_AVL'), (168151, 'AVL_TRAIN'), (168659, 'UN_AVL'), (168714, 'AVL_TRAIN'), (169183, 'UN_AVL'), (170940, 'AVL_TRAIN'), (171086, 'UN_AVL'), (172784, 'AVL_TRAIN')]", diff --git a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_108.json b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_108.json index da2ded390..e1c77558a 100644 --- a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_108.json +++ b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_108.json @@ -81,7 +81,7 @@ "manual_seed": 42, "client_num_in_total": 0, "warmup_ratio": 1, - "training_delay_enabled": "True", + "training_delay_enabled": "False", "training_delay_factor": "10", "training_delay_s": "29.0", "avl_events_mobiperf_3st_50": "[(0, 'AVL_TRAIN'), (227, 'AVL_EVAL'), (1757, 'AVL_TRAIN'), (2266, 'AVL_EVAL'), (15753, 'UN_AVL'), (75638, 'AVL_TRAIN'), (76263, 'UN_AVL'), (77006, 'AVL_TRAIN'), (78334, 'UN_AVL'), (78346, 'AVL_TRAIN'), (78405, 'UN_AVL'), (78406, 'AVL_TRAIN'), (78543, 'UN_AVL'), (78549, 'AVL_TRAIN'), (79377, 'UN_AVL'), (79379, 'AVL_TRAIN'), (79486, 'UN_AVL'), (79495, 'AVL_TRAIN'), (79791, 'UN_AVL'), (79796, 'AVL_TRAIN'), (80059, 'UN_AVL'), (80071, 'AVL_TRAIN'), (80937, 'UN_AVL'), (80967, 'AVL_TRAIN'), (80978, 'UN_AVL'), (80979, 'AVL_TRAIN'), (81195, 'UN_AVL'), (81206, 'AVL_TRAIN'), (85845, 'AVL_EVAL'), (86392, 'AVL_TRAIN'), (87189, 'AVL_EVAL'), (89364, 'AVL_TRAIN'), (89365, 'AVL_EVAL'), (97105, 'UN_AVL'), (102534, 'AVL_TRAIN'), (124202, 'AVL_EVAL'), (160572, 'UN_AVL'), (168151, 'AVL_TRAIN'), (168659, 'UN_AVL'), (168714, 'AVL_TRAIN'), (169183, 'UN_AVL'), (170940, 'AVL_TRAIN'), (171086, 'UN_AVL'), (172784, 'AVL_TRAIN')]", diff --git a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_109.json b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_109.json index 03d71b104..4dd1b75b8 100644 --- a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_109.json +++ b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_109.json @@ -81,7 +81,7 @@ "manual_seed": 42, "client_num_in_total": 0, "warmup_ratio": 1, - "training_delay_enabled": "True", + "training_delay_enabled": "False", "training_delay_factor": "10", "training_delay_s": "12.0", "avl_events_mobiperf_3st_50": "[(0, 'AVL_TRAIN'), (227, 'AVL_EVAL'), (1757, 'AVL_TRAIN'), (2266, 'AVL_EVAL'), (15753, 'UN_AVL'), (75638, 'AVL_TRAIN'), (76263, 'UN_AVL'), (77006, 'AVL_TRAIN'), (78334, 'UN_AVL'), (78346, 'AVL_TRAIN'), (78405, 'UN_AVL'), (78406, 'AVL_TRAIN'), (78543, 'UN_AVL'), (78549, 'AVL_TRAIN'), (79377, 'UN_AVL'), (79379, 'AVL_TRAIN'), (79486, 'UN_AVL'), (79495, 'AVL_TRAIN'), (79791, 'UN_AVL'), (79796, 'AVL_TRAIN'), (80059, 'UN_AVL'), (80071, 'AVL_TRAIN'), (80937, 'UN_AVL'), (80967, 'AVL_TRAIN'), (80978, 'UN_AVL'), (80979, 'AVL_TRAIN'), (81195, 'UN_AVL'), (81206, 'AVL_TRAIN'), (85845, 'AVL_EVAL'), (86392, 'AVL_TRAIN'), (87189, 'AVL_EVAL'), (89364, 'AVL_TRAIN'), (89365, 'AVL_EVAL'), (97105, 'UN_AVL'), (102534, 'AVL_TRAIN'), (124202, 'AVL_EVAL'), (160572, 'UN_AVL'), (168151, 'AVL_TRAIN'), (168659, 'UN_AVL'), (168714, 'AVL_TRAIN'), (169183, 'UN_AVL'), (170940, 'AVL_TRAIN'), (171086, 'UN_AVL'), (172784, 'AVL_TRAIN')]", diff --git a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_11.json b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_11.json index 0c82b77f3..7a0c8a554 100644 --- a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_11.json +++ b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_11.json @@ -81,7 +81,7 @@ "manual_seed": 42, "client_num_in_total": 0, "warmup_ratio": 1, - "training_delay_enabled": "True", + "training_delay_enabled": "False", "training_delay_factor": "10", "training_delay_s": "19.0", "avl_events_mobiperf_3st_50": "[(0, 'AVL_TRAIN'), (300, 'UN_AVL'), (28302, 'AVL_TRAIN'), (29195, 'UN_AVL'), (36894, 'AVL_TRAIN'), (63583, 'AVL_EVAL'), (100060, 'UN_AVL'), (112501, 'AVL_TRAIN'), (116318, 'UN_AVL'), (116350, 'AVL_TRAIN'), (118390, 'UN_AVL'), (148083, 'AVL_TRAIN'), (162644, 'AVL_EVAL'), (201373, 'UN_AVL'), (208438, 'AVL_TRAIN'), (208622, 'UN_AVL'), (208636, 'AVL_TRAIN'), (243721, 'AVL_EVAL'), (280584, 'UN_AVL'), (298120, 'AVL_TRAIN'), (318895, 'AVL_EVAL'), (318951, 'AVL_TRAIN'), (319530, 'AVL_EVAL'), (364681, 'UN_AVL'), (379241, 'AVL_TRAIN'), (381391, 'UN_AVL'), (381417, 'AVL_TRAIN'), (414188, 'AVL_EVAL'), (436582, 'UN_AVL'), (443187, 'AVL_TRAIN'), (445392, 'UN_AVL'), (445782, 'AVL_TRAIN'), (451835, 'UN_AVL'), (458984, 'AVL_TRAIN'), (459293, 'UN_AVL'), (463604, 'AVL_TRAIN'), (464329, 'UN_AVL'), (464335, 'AVL_TRAIN'), (464729, 'UN_AVL'), (464762, 'AVL_TRAIN'), (475119, 'UN_AVL'), (496411, 'AVL_TRAIN'), (506831, 'AVL_EVAL'), (531066, 'UN_AVL')]", diff --git a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_110.json b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_110.json index c755165b3..a1d52c720 100644 --- a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_110.json +++ b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_110.json @@ -81,7 +81,7 @@ "manual_seed": 42, "client_num_in_total": 0, "warmup_ratio": 1, - "training_delay_enabled": "True", + "training_delay_enabled": "False", "training_delay_factor": "10", "training_delay_s": "11.0", "avl_events_mobiperf_3st_50": "[(0, 'AVL_TRAIN'), (227, 'AVL_EVAL'), (1757, 'AVL_TRAIN'), (2266, 'AVL_EVAL'), (15753, 'UN_AVL'), (75638, 'AVL_TRAIN'), (76263, 'UN_AVL'), (77006, 'AVL_TRAIN'), (78334, 'UN_AVL'), (78346, 'AVL_TRAIN'), (78405, 'UN_AVL'), (78406, 'AVL_TRAIN'), (78543, 'UN_AVL'), (78549, 'AVL_TRAIN'), (79377, 'UN_AVL'), (79379, 'AVL_TRAIN'), (79486, 'UN_AVL'), (79495, 'AVL_TRAIN'), (79791, 'UN_AVL'), (79796, 'AVL_TRAIN'), (80059, 'UN_AVL'), (80071, 'AVL_TRAIN'), (80937, 'UN_AVL'), (80967, 'AVL_TRAIN'), (80978, 'UN_AVL'), (80979, 'AVL_TRAIN'), (81195, 'UN_AVL'), (81206, 'AVL_TRAIN'), (85845, 'AVL_EVAL'), (86392, 'AVL_TRAIN'), (87189, 'AVL_EVAL'), (89364, 'AVL_TRAIN'), (89365, 'AVL_EVAL'), (97105, 'UN_AVL'), (102534, 'AVL_TRAIN'), (124202, 'AVL_EVAL'), (160572, 'UN_AVL'), (168151, 'AVL_TRAIN'), (168659, 'UN_AVL'), (168714, 'AVL_TRAIN'), (169183, 'UN_AVL'), (170940, 'AVL_TRAIN'), (171086, 'UN_AVL'), (172784, 'AVL_TRAIN')]", diff --git a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_111.json b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_111.json index 00c56c5d6..4dda8f241 100644 --- a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_111.json +++ b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_111.json @@ -81,7 +81,7 @@ "manual_seed": 42, "client_num_in_total": 0, "warmup_ratio": 1, - "training_delay_enabled": "True", + "training_delay_enabled": "False", "training_delay_factor": "10", "training_delay_s": "18.0", "avl_events_mobiperf_3st_50": "[(0, 'AVL_TRAIN'), (227, 'AVL_EVAL'), (1757, 'AVL_TRAIN'), (2266, 'AVL_EVAL'), (15753, 'UN_AVL'), (75638, 'AVL_TRAIN'), (76263, 'UN_AVL'), (77006, 'AVL_TRAIN'), (78334, 'UN_AVL'), (78346, 'AVL_TRAIN'), (78405, 'UN_AVL'), (78406, 'AVL_TRAIN'), (78543, 'UN_AVL'), (78549, 'AVL_TRAIN'), (79377, 'UN_AVL'), (79379, 'AVL_TRAIN'), (79486, 'UN_AVL'), (79495, 'AVL_TRAIN'), (79791, 'UN_AVL'), (79796, 'AVL_TRAIN'), (80059, 'UN_AVL'), (80071, 'AVL_TRAIN'), (80937, 'UN_AVL'), (80967, 'AVL_TRAIN'), (80978, 'UN_AVL'), (80979, 'AVL_TRAIN'), (81195, 'UN_AVL'), (81206, 'AVL_TRAIN'), (85845, 'AVL_EVAL'), (86392, 'AVL_TRAIN'), (87189, 'AVL_EVAL'), (89364, 'AVL_TRAIN'), (89365, 'AVL_EVAL'), (97105, 'UN_AVL'), (102534, 'AVL_TRAIN'), (124202, 'AVL_EVAL'), (160572, 'UN_AVL'), (168151, 'AVL_TRAIN'), (168659, 'UN_AVL'), (168714, 'AVL_TRAIN'), (169183, 'UN_AVL'), (170940, 'AVL_TRAIN'), (171086, 'UN_AVL'), (172784, 'AVL_TRAIN')]", diff --git a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_112.json b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_112.json index 8800c7fb2..b09390d62 100644 --- a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_112.json +++ b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_112.json @@ -81,7 +81,7 @@ "manual_seed": 42, "client_num_in_total": 0, "warmup_ratio": 1, - "training_delay_enabled": "True", + "training_delay_enabled": "False", "training_delay_factor": "10", "training_delay_s": "21.0", "avl_events_mobiperf_3st_50": "[(0, 'AVL_TRAIN'), (227, 'AVL_EVAL'), (1757, 'AVL_TRAIN'), (2266, 'AVL_EVAL'), (15753, 'UN_AVL'), (75638, 'AVL_TRAIN'), (76263, 'UN_AVL'), (77006, 'AVL_TRAIN'), (78334, 'UN_AVL'), (78346, 'AVL_TRAIN'), (78405, 'UN_AVL'), (78406, 'AVL_TRAIN'), (78543, 'UN_AVL'), (78549, 'AVL_TRAIN'), (79377, 'UN_AVL'), (79379, 'AVL_TRAIN'), (79486, 'UN_AVL'), (79495, 'AVL_TRAIN'), (79791, 'UN_AVL'), (79796, 'AVL_TRAIN'), (80059, 'UN_AVL'), (80071, 'AVL_TRAIN'), (80937, 'UN_AVL'), (80967, 'AVL_TRAIN'), (80978, 'UN_AVL'), (80979, 'AVL_TRAIN'), (81195, 'UN_AVL'), (81206, 'AVL_TRAIN'), (85845, 'AVL_EVAL'), (86392, 'AVL_TRAIN'), (87189, 'AVL_EVAL'), (89364, 'AVL_TRAIN'), (89365, 'AVL_EVAL'), (97105, 'UN_AVL'), (102534, 'AVL_TRAIN'), (124202, 'AVL_EVAL'), (160572, 'UN_AVL'), (168151, 'AVL_TRAIN'), (168659, 'UN_AVL'), (168714, 'AVL_TRAIN'), (169183, 'UN_AVL'), (170940, 'AVL_TRAIN'), (171086, 'UN_AVL'), (172784, 'AVL_TRAIN')]", diff --git a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_113.json b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_113.json index 559742e69..cc61a394d 100644 --- a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_113.json +++ b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_113.json @@ -81,7 +81,7 @@ "manual_seed": 42, "client_num_in_total": 0, "warmup_ratio": 1, - "training_delay_enabled": "True", + "training_delay_enabled": "False", "training_delay_factor": "10", "training_delay_s": "12.0", "avl_events_mobiperf_3st_50": "[(0, 'AVL_TRAIN'), (227, 'AVL_EVAL'), (1757, 'AVL_TRAIN'), (2266, 'AVL_EVAL'), (15753, 'UN_AVL'), (75638, 'AVL_TRAIN'), (76263, 'UN_AVL'), (77006, 'AVL_TRAIN'), (78334, 'UN_AVL'), (78346, 'AVL_TRAIN'), (78405, 'UN_AVL'), (78406, 'AVL_TRAIN'), (78543, 'UN_AVL'), (78549, 'AVL_TRAIN'), (79377, 'UN_AVL'), (79379, 'AVL_TRAIN'), (79486, 'UN_AVL'), (79495, 'AVL_TRAIN'), (79791, 'UN_AVL'), (79796, 'AVL_TRAIN'), (80059, 'UN_AVL'), (80071, 'AVL_TRAIN'), (80937, 'UN_AVL'), (80967, 'AVL_TRAIN'), (80978, 'UN_AVL'), (80979, 'AVL_TRAIN'), (81195, 'UN_AVL'), (81206, 'AVL_TRAIN'), (85845, 'AVL_EVAL'), (86392, 'AVL_TRAIN'), (87189, 'AVL_EVAL'), (89364, 'AVL_TRAIN'), (89365, 'AVL_EVAL'), (97105, 'UN_AVL'), (102534, 'AVL_TRAIN'), (124202, 'AVL_EVAL'), (160572, 'UN_AVL'), (168151, 'AVL_TRAIN'), (168659, 'UN_AVL'), (168714, 'AVL_TRAIN'), (169183, 'UN_AVL'), (170940, 'AVL_TRAIN'), (171086, 'UN_AVL'), (172784, 'AVL_TRAIN')]", diff --git a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_114.json b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_114.json index b66f13f50..33dcd5ed4 100644 --- a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_114.json +++ b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_114.json @@ -81,7 +81,7 @@ "manual_seed": 42, "client_num_in_total": 0, "warmup_ratio": 1, - "training_delay_enabled": "True", + "training_delay_enabled": "False", "training_delay_factor": "10", "training_delay_s": "6.0", "avl_events_mobiperf_3st_50": "[(0, 'AVL_TRAIN'), (227, 'AVL_EVAL'), (1757, 'AVL_TRAIN'), (2266, 'AVL_EVAL'), (15753, 'UN_AVL'), (75638, 'AVL_TRAIN'), (76263, 'UN_AVL'), (77006, 'AVL_TRAIN'), (78334, 'UN_AVL'), (78346, 'AVL_TRAIN'), (78405, 'UN_AVL'), (78406, 'AVL_TRAIN'), (78543, 'UN_AVL'), (78549, 'AVL_TRAIN'), (79377, 'UN_AVL'), (79379, 'AVL_TRAIN'), (79486, 'UN_AVL'), (79495, 'AVL_TRAIN'), (79791, 'UN_AVL'), (79796, 'AVL_TRAIN'), (80059, 'UN_AVL'), (80071, 'AVL_TRAIN'), (80937, 'UN_AVL'), (80967, 'AVL_TRAIN'), (80978, 'UN_AVL'), (80979, 'AVL_TRAIN'), (81195, 'UN_AVL'), (81206, 'AVL_TRAIN'), (85845, 'AVL_EVAL'), (86392, 'AVL_TRAIN'), (87189, 'AVL_EVAL'), (89364, 'AVL_TRAIN'), (89365, 'AVL_EVAL'), (97105, 'UN_AVL'), (102534, 'AVL_TRAIN'), (124202, 'AVL_EVAL'), (160572, 'UN_AVL'), (168151, 'AVL_TRAIN'), (168659, 'UN_AVL'), (168714, 'AVL_TRAIN'), (169183, 'UN_AVL'), (170940, 'AVL_TRAIN'), (171086, 'UN_AVL'), (172784, 'AVL_TRAIN')]", diff --git a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_115.json b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_115.json index b60a4a3b8..f8c19e5dd 100644 --- a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_115.json +++ b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_115.json @@ -81,7 +81,7 @@ "manual_seed": 42, "client_num_in_total": 0, "warmup_ratio": 1, - "training_delay_enabled": "True", + "training_delay_enabled": "False", "training_delay_factor": "10", "training_delay_s": "16.0", "avl_events_mobiperf_3st_50": "[(0, 'AVL_TRAIN'), (227, 'AVL_EVAL'), (1757, 'AVL_TRAIN'), (2266, 'AVL_EVAL'), (15753, 'UN_AVL'), (75638, 'AVL_TRAIN'), (76263, 'UN_AVL'), (77006, 'AVL_TRAIN'), (78334, 'UN_AVL'), (78346, 'AVL_TRAIN'), (78405, 'UN_AVL'), (78406, 'AVL_TRAIN'), (78543, 'UN_AVL'), (78549, 'AVL_TRAIN'), (79377, 'UN_AVL'), (79379, 'AVL_TRAIN'), (79486, 'UN_AVL'), (79495, 'AVL_TRAIN'), (79791, 'UN_AVL'), (79796, 'AVL_TRAIN'), (80059, 'UN_AVL'), (80071, 'AVL_TRAIN'), (80937, 'UN_AVL'), (80967, 'AVL_TRAIN'), (80978, 'UN_AVL'), (80979, 'AVL_TRAIN'), (81195, 'UN_AVL'), (81206, 'AVL_TRAIN'), (85845, 'AVL_EVAL'), (86392, 'AVL_TRAIN'), (87189, 'AVL_EVAL'), (89364, 'AVL_TRAIN'), (89365, 'AVL_EVAL'), (97105, 'UN_AVL'), (102534, 'AVL_TRAIN'), (124202, 'AVL_EVAL'), (160572, 'UN_AVL'), (168151, 'AVL_TRAIN'), (168659, 'UN_AVL'), (168714, 'AVL_TRAIN'), (169183, 'UN_AVL'), (170940, 'AVL_TRAIN'), (171086, 'UN_AVL'), (172784, 'AVL_TRAIN')]", diff --git a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_116.json b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_116.json index 8371037dc..6f7bd4b28 100644 --- a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_116.json +++ b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_116.json @@ -81,7 +81,7 @@ "manual_seed": 42, "client_num_in_total": 0, "warmup_ratio": 1, - "training_delay_enabled": "True", + "training_delay_enabled": "False", "training_delay_factor": "10", "training_delay_s": "8.0", "avl_events_mobiperf_3st_50": "[(0, 'AVL_TRAIN'), (227, 'AVL_EVAL'), (1757, 'AVL_TRAIN'), (2266, 'AVL_EVAL'), (15753, 'UN_AVL'), (75638, 'AVL_TRAIN'), (76263, 'UN_AVL'), (77006, 'AVL_TRAIN'), (78334, 'UN_AVL'), (78346, 'AVL_TRAIN'), (78405, 'UN_AVL'), (78406, 'AVL_TRAIN'), (78543, 'UN_AVL'), (78549, 'AVL_TRAIN'), (79377, 'UN_AVL'), (79379, 'AVL_TRAIN'), (79486, 'UN_AVL'), (79495, 'AVL_TRAIN'), (79791, 'UN_AVL'), (79796, 'AVL_TRAIN'), (80059, 'UN_AVL'), (80071, 'AVL_TRAIN'), (80937, 'UN_AVL'), (80967, 'AVL_TRAIN'), (80978, 'UN_AVL'), (80979, 'AVL_TRAIN'), (81195, 'UN_AVL'), (81206, 'AVL_TRAIN'), (85845, 'AVL_EVAL'), (86392, 'AVL_TRAIN'), (87189, 'AVL_EVAL'), (89364, 'AVL_TRAIN'), (89365, 'AVL_EVAL'), (97105, 'UN_AVL'), (102534, 'AVL_TRAIN'), (124202, 'AVL_EVAL'), (160572, 'UN_AVL'), (168151, 'AVL_TRAIN'), (168659, 'UN_AVL'), (168714, 'AVL_TRAIN'), (169183, 'UN_AVL'), (170940, 'AVL_TRAIN'), (171086, 'UN_AVL'), (172784, 'AVL_TRAIN')]", diff --git a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_117.json b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_117.json index 5e8f803f1..e8faf3a47 100644 --- a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_117.json +++ b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_117.json @@ -81,7 +81,7 @@ "manual_seed": 42, "client_num_in_total": 0, "warmup_ratio": 1, - "training_delay_enabled": "True", + "training_delay_enabled": "False", "training_delay_factor": "10", "training_delay_s": "2.0", "avl_events_mobiperf_3st_50": "[(0, 'AVL_TRAIN'), (227, 'AVL_EVAL'), (1757, 'AVL_TRAIN'), (2266, 'AVL_EVAL'), (15753, 'UN_AVL'), (75638, 'AVL_TRAIN'), (76263, 'UN_AVL'), (77006, 'AVL_TRAIN'), (78334, 'UN_AVL'), (78346, 'AVL_TRAIN'), (78405, 'UN_AVL'), (78406, 'AVL_TRAIN'), (78543, 'UN_AVL'), (78549, 'AVL_TRAIN'), (79377, 'UN_AVL'), (79379, 'AVL_TRAIN'), (79486, 'UN_AVL'), (79495, 'AVL_TRAIN'), (79791, 'UN_AVL'), (79796, 'AVL_TRAIN'), (80059, 'UN_AVL'), (80071, 'AVL_TRAIN'), (80937, 'UN_AVL'), (80967, 'AVL_TRAIN'), (80978, 'UN_AVL'), (80979, 'AVL_TRAIN'), (81195, 'UN_AVL'), (81206, 'AVL_TRAIN'), (85845, 'AVL_EVAL'), (86392, 'AVL_TRAIN'), (87189, 'AVL_EVAL'), (89364, 'AVL_TRAIN'), (89365, 'AVL_EVAL'), (97105, 'UN_AVL'), (102534, 'AVL_TRAIN'), (124202, 'AVL_EVAL'), (160572, 'UN_AVL'), (168151, 'AVL_TRAIN'), (168659, 'UN_AVL'), (168714, 'AVL_TRAIN'), (169183, 'UN_AVL'), (170940, 'AVL_TRAIN'), (171086, 'UN_AVL'), (172784, 'AVL_TRAIN')]", diff --git a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_118.json b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_118.json index e8af72662..b3d756829 100644 --- a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_118.json +++ b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_118.json @@ -81,7 +81,7 @@ "manual_seed": 42, "client_num_in_total": 0, "warmup_ratio": 1, - "training_delay_enabled": "True", + "training_delay_enabled": "False", "training_delay_factor": "10", "training_delay_s": "5.0", "avl_events_mobiperf_3st_50": "[(0, 'AVL_TRAIN'), (227, 'AVL_EVAL'), (1757, 'AVL_TRAIN'), (2266, 'AVL_EVAL'), (15753, 'UN_AVL'), (75638, 'AVL_TRAIN'), (76263, 'UN_AVL'), (77006, 'AVL_TRAIN'), (78334, 'UN_AVL'), (78346, 'AVL_TRAIN'), (78405, 'UN_AVL'), (78406, 'AVL_TRAIN'), (78543, 'UN_AVL'), (78549, 'AVL_TRAIN'), (79377, 'UN_AVL'), (79379, 'AVL_TRAIN'), (79486, 'UN_AVL'), (79495, 'AVL_TRAIN'), (79791, 'UN_AVL'), (79796, 'AVL_TRAIN'), (80059, 'UN_AVL'), (80071, 'AVL_TRAIN'), (80937, 'UN_AVL'), (80967, 'AVL_TRAIN'), (80978, 'UN_AVL'), (80979, 'AVL_TRAIN'), (81195, 'UN_AVL'), (81206, 'AVL_TRAIN'), (85845, 'AVL_EVAL'), (86392, 'AVL_TRAIN'), (87189, 'AVL_EVAL'), (89364, 'AVL_TRAIN'), (89365, 'AVL_EVAL'), (97105, 'UN_AVL'), (102534, 'AVL_TRAIN'), (124202, 'AVL_EVAL'), (160572, 'UN_AVL'), (168151, 'AVL_TRAIN'), (168659, 'UN_AVL'), (168714, 'AVL_TRAIN'), (169183, 'UN_AVL'), (170940, 'AVL_TRAIN'), (171086, 'UN_AVL'), (172784, 'AVL_TRAIN')]", diff --git a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_119.json b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_119.json index 8c5a0ef83..9bfba105e 100644 --- a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_119.json +++ b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_119.json @@ -81,7 +81,7 @@ "manual_seed": 42, "client_num_in_total": 0, "warmup_ratio": 1, - "training_delay_enabled": "True", + "training_delay_enabled": "False", "training_delay_factor": "10", "training_delay_s": "12.0", "avl_events_mobiperf_3st_50": "[(0, 'AVL_TRAIN'), (227, 'AVL_EVAL'), (1757, 'AVL_TRAIN'), (2266, 'AVL_EVAL'), (15753, 'UN_AVL'), (75638, 'AVL_TRAIN'), (76263, 'UN_AVL'), (77006, 'AVL_TRAIN'), (78334, 'UN_AVL'), (78346, 'AVL_TRAIN'), (78405, 'UN_AVL'), (78406, 'AVL_TRAIN'), (78543, 'UN_AVL'), (78549, 'AVL_TRAIN'), (79377, 'UN_AVL'), (79379, 'AVL_TRAIN'), (79486, 'UN_AVL'), (79495, 'AVL_TRAIN'), (79791, 'UN_AVL'), (79796, 'AVL_TRAIN'), (80059, 'UN_AVL'), (80071, 'AVL_TRAIN'), (80937, 'UN_AVL'), (80967, 'AVL_TRAIN'), (80978, 'UN_AVL'), (80979, 'AVL_TRAIN'), (81195, 'UN_AVL'), (81206, 'AVL_TRAIN'), (85845, 'AVL_EVAL'), (86392, 'AVL_TRAIN'), (87189, 'AVL_EVAL'), (89364, 'AVL_TRAIN'), (89365, 'AVL_EVAL'), (97105, 'UN_AVL'), (102534, 'AVL_TRAIN'), (124202, 'AVL_EVAL'), (160572, 'UN_AVL'), (168151, 'AVL_TRAIN'), (168659, 'UN_AVL'), (168714, 'AVL_TRAIN'), (169183, 'UN_AVL'), (170940, 'AVL_TRAIN'), (171086, 'UN_AVL'), (172784, 'AVL_TRAIN')]", diff --git a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_12.json b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_12.json index 227512342..7ab6d4e74 100644 --- a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_12.json +++ b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_12.json @@ -81,7 +81,7 @@ "manual_seed": 42, "client_num_in_total": 0, "warmup_ratio": 1, - "training_delay_enabled": "True", + "training_delay_enabled": "False", "training_delay_factor": "10", "training_delay_s": "10.0", "avl_events_mobiperf_3st_50": "[(0, 'AVL_TRAIN'), (300, 'AVL_EVAL'), (44572, 'UN_AVL'), (89085, 'AVL_TRAIN'), (99966, 'AVL_EVAL'), (153474, 'UN_AVL'), (178052, 'AVL_TRAIN'), (194784, 'AVL_EVAL'), (304870, 'UN_AVL'), (361337, 'AVL_TRAIN'), (383532, 'AVL_EVAL'), (450806, 'UN_AVL'), (450873, 'AVL_TRAIN'), (474438, 'AVL_EVAL'), (496013, 'UN_AVL')]", diff --git a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_120.json b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_120.json index 6546256fe..1af510558 100644 --- a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_120.json +++ b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_120.json @@ -81,7 +81,7 @@ "manual_seed": 42, "client_num_in_total": 0, "warmup_ratio": 1, - "training_delay_enabled": "True", + "training_delay_enabled": "False", "training_delay_factor": "10", "training_delay_s": "9.0", "avl_events_mobiperf_3st_50": "[(0, 'AVL_TRAIN'), (227, 'AVL_EVAL'), (1757, 'AVL_TRAIN'), (2266, 'AVL_EVAL'), (15753, 'UN_AVL'), (75638, 'AVL_TRAIN'), (76263, 'UN_AVL'), (77006, 'AVL_TRAIN'), (78334, 'UN_AVL'), (78346, 'AVL_TRAIN'), (78405, 'UN_AVL'), (78406, 'AVL_TRAIN'), (78543, 'UN_AVL'), (78549, 'AVL_TRAIN'), (79377, 'UN_AVL'), (79379, 'AVL_TRAIN'), (79486, 'UN_AVL'), (79495, 'AVL_TRAIN'), (79791, 'UN_AVL'), (79796, 'AVL_TRAIN'), (80059, 'UN_AVL'), (80071, 'AVL_TRAIN'), (80937, 'UN_AVL'), (80967, 'AVL_TRAIN'), (80978, 'UN_AVL'), (80979, 'AVL_TRAIN'), (81195, 'UN_AVL'), (81206, 'AVL_TRAIN'), (85845, 'AVL_EVAL'), (86392, 'AVL_TRAIN'), (87189, 'AVL_EVAL'), (89364, 'AVL_TRAIN'), (89365, 'AVL_EVAL'), (97105, 'UN_AVL'), (102534, 'AVL_TRAIN'), (124202, 'AVL_EVAL'), (160572, 'UN_AVL'), (168151, 'AVL_TRAIN'), (168659, 'UN_AVL'), (168714, 'AVL_TRAIN'), (169183, 'UN_AVL'), (170940, 'AVL_TRAIN'), (171086, 'UN_AVL'), (172784, 'AVL_TRAIN')]", diff --git a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_121.json b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_121.json index b451bda3a..231c03cf6 100644 --- a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_121.json +++ b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_121.json @@ -81,7 +81,7 @@ "manual_seed": 42, "client_num_in_total": 0, "warmup_ratio": 1, - "training_delay_enabled": "True", + "training_delay_enabled": "False", "training_delay_factor": "10", "training_delay_s": "17.0", "avl_events_mobiperf_3st_50": "[(0, 'AVL_TRAIN'), (227, 'AVL_EVAL'), (1757, 'AVL_TRAIN'), (2266, 'AVL_EVAL'), (15753, 'UN_AVL'), (75638, 'AVL_TRAIN'), (76263, 'UN_AVL'), (77006, 'AVL_TRAIN'), (78334, 'UN_AVL'), (78346, 'AVL_TRAIN'), (78405, 'UN_AVL'), (78406, 'AVL_TRAIN'), (78543, 'UN_AVL'), (78549, 'AVL_TRAIN'), (79377, 'UN_AVL'), (79379, 'AVL_TRAIN'), (79486, 'UN_AVL'), (79495, 'AVL_TRAIN'), (79791, 'UN_AVL'), (79796, 'AVL_TRAIN'), (80059, 'UN_AVL'), (80071, 'AVL_TRAIN'), (80937, 'UN_AVL'), (80967, 'AVL_TRAIN'), (80978, 'UN_AVL'), (80979, 'AVL_TRAIN'), (81195, 'UN_AVL'), (81206, 'AVL_TRAIN'), (85845, 'AVL_EVAL'), (86392, 'AVL_TRAIN'), (87189, 'AVL_EVAL'), (89364, 'AVL_TRAIN'), (89365, 'AVL_EVAL'), (97105, 'UN_AVL'), (102534, 'AVL_TRAIN'), (124202, 'AVL_EVAL'), (160572, 'UN_AVL'), (168151, 'AVL_TRAIN'), (168659, 'UN_AVL'), (168714, 'AVL_TRAIN'), (169183, 'UN_AVL'), (170940, 'AVL_TRAIN'), (171086, 'UN_AVL'), (172784, 'AVL_TRAIN')]", diff --git a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_122.json b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_122.json index 27cc31fd1..0d1140e21 100644 --- a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_122.json +++ b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_122.json @@ -81,7 +81,7 @@ "manual_seed": 42, "client_num_in_total": 0, "warmup_ratio": 1, - "training_delay_enabled": "True", + "training_delay_enabled": "False", "training_delay_factor": "10", "training_delay_s": "10.0", "avl_events_mobiperf_3st_50": "[(0, 'AVL_TRAIN'), (227, 'AVL_EVAL'), (1757, 'AVL_TRAIN'), (2266, 'AVL_EVAL'), (15753, 'UN_AVL'), (75638, 'AVL_TRAIN'), (76263, 'UN_AVL'), (77006, 'AVL_TRAIN'), (78334, 'UN_AVL'), (78346, 'AVL_TRAIN'), (78405, 'UN_AVL'), (78406, 'AVL_TRAIN'), (78543, 'UN_AVL'), (78549, 'AVL_TRAIN'), (79377, 'UN_AVL'), (79379, 'AVL_TRAIN'), (79486, 'UN_AVL'), (79495, 'AVL_TRAIN'), (79791, 'UN_AVL'), (79796, 'AVL_TRAIN'), (80059, 'UN_AVL'), (80071, 'AVL_TRAIN'), (80937, 'UN_AVL'), (80967, 'AVL_TRAIN'), (80978, 'UN_AVL'), (80979, 'AVL_TRAIN'), (81195, 'UN_AVL'), (81206, 'AVL_TRAIN'), (85845, 'AVL_EVAL'), (86392, 'AVL_TRAIN'), (87189, 'AVL_EVAL'), (89364, 'AVL_TRAIN'), (89365, 'AVL_EVAL'), (97105, 'UN_AVL'), (102534, 'AVL_TRAIN'), (124202, 'AVL_EVAL'), (160572, 'UN_AVL'), (168151, 'AVL_TRAIN'), (168659, 'UN_AVL'), (168714, 'AVL_TRAIN'), (169183, 'UN_AVL'), (170940, 'AVL_TRAIN'), (171086, 'UN_AVL'), (172784, 'AVL_TRAIN')]", diff --git a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_123.json b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_123.json index 10d600102..d72572c4c 100644 --- a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_123.json +++ b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_123.json @@ -81,7 +81,7 @@ "manual_seed": 42, "client_num_in_total": 0, "warmup_ratio": 1, - "training_delay_enabled": "True", + "training_delay_enabled": "False", "training_delay_factor": "10", "training_delay_s": "2.0", "avl_events_mobiperf_3st_50": "[(0, 'AVL_TRAIN'), (227, 'AVL_EVAL'), (1757, 'AVL_TRAIN'), (2266, 'AVL_EVAL'), (15753, 'UN_AVL'), (75638, 'AVL_TRAIN'), (76263, 'UN_AVL'), (77006, 'AVL_TRAIN'), (78334, 'UN_AVL'), (78346, 'AVL_TRAIN'), (78405, 'UN_AVL'), (78406, 'AVL_TRAIN'), (78543, 'UN_AVL'), (78549, 'AVL_TRAIN'), (79377, 'UN_AVL'), (79379, 'AVL_TRAIN'), (79486, 'UN_AVL'), (79495, 'AVL_TRAIN'), (79791, 'UN_AVL'), (79796, 'AVL_TRAIN'), (80059, 'UN_AVL'), (80071, 'AVL_TRAIN'), (80937, 'UN_AVL'), (80967, 'AVL_TRAIN'), (80978, 'UN_AVL'), (80979, 'AVL_TRAIN'), (81195, 'UN_AVL'), (81206, 'AVL_TRAIN'), (85845, 'AVL_EVAL'), (86392, 'AVL_TRAIN'), (87189, 'AVL_EVAL'), (89364, 'AVL_TRAIN'), (89365, 'AVL_EVAL'), (97105, 'UN_AVL'), (102534, 'AVL_TRAIN'), (124202, 'AVL_EVAL'), (160572, 'UN_AVL'), (168151, 'AVL_TRAIN'), (168659, 'UN_AVL'), (168714, 'AVL_TRAIN'), (169183, 'UN_AVL'), (170940, 'AVL_TRAIN'), (171086, 'UN_AVL'), (172784, 'AVL_TRAIN')]", diff --git a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_124.json b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_124.json index ed4db7299..84ab547f6 100644 --- a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_124.json +++ b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_124.json @@ -81,7 +81,7 @@ "manual_seed": 42, "client_num_in_total": 0, "warmup_ratio": 1, - "training_delay_enabled": "True", + "training_delay_enabled": "False", "training_delay_factor": "10", "training_delay_s": "9.0", "avl_events_mobiperf_3st_50": "[(0, 'AVL_TRAIN'), (227, 'AVL_EVAL'), (1757, 'AVL_TRAIN'), (2266, 'AVL_EVAL'), (15753, 'UN_AVL'), (75638, 'AVL_TRAIN'), (76263, 'UN_AVL'), (77006, 'AVL_TRAIN'), (78334, 'UN_AVL'), (78346, 'AVL_TRAIN'), (78405, 'UN_AVL'), (78406, 'AVL_TRAIN'), (78543, 'UN_AVL'), (78549, 'AVL_TRAIN'), (79377, 'UN_AVL'), (79379, 'AVL_TRAIN'), (79486, 'UN_AVL'), (79495, 'AVL_TRAIN'), (79791, 'UN_AVL'), (79796, 'AVL_TRAIN'), (80059, 'UN_AVL'), (80071, 'AVL_TRAIN'), (80937, 'UN_AVL'), (80967, 'AVL_TRAIN'), (80978, 'UN_AVL'), (80979, 'AVL_TRAIN'), (81195, 'UN_AVL'), (81206, 'AVL_TRAIN'), (85845, 'AVL_EVAL'), (86392, 'AVL_TRAIN'), (87189, 'AVL_EVAL'), (89364, 'AVL_TRAIN'), (89365, 'AVL_EVAL'), (97105, 'UN_AVL'), (102534, 'AVL_TRAIN'), (124202, 'AVL_EVAL'), (160572, 'UN_AVL'), (168151, 'AVL_TRAIN'), (168659, 'UN_AVL'), (168714, 'AVL_TRAIN'), (169183, 'UN_AVL'), (170940, 'AVL_TRAIN'), (171086, 'UN_AVL'), (172784, 'AVL_TRAIN')]", diff --git a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_125.json b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_125.json index ca5ad68ae..be3a30373 100644 --- a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_125.json +++ b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_125.json @@ -81,7 +81,7 @@ "manual_seed": 42, "client_num_in_total": 0, "warmup_ratio": 1, - "training_delay_enabled": "True", + "training_delay_enabled": "False", "training_delay_factor": "10", "training_delay_s": "10.0", "avl_events_mobiperf_3st_50": "[(0, 'AVL_TRAIN'), (227, 'AVL_EVAL'), (1757, 'AVL_TRAIN'), (2266, 'AVL_EVAL'), (15753, 'UN_AVL'), (75638, 'AVL_TRAIN'), (76263, 'UN_AVL'), (77006, 'AVL_TRAIN'), (78334, 'UN_AVL'), (78346, 'AVL_TRAIN'), (78405, 'UN_AVL'), (78406, 'AVL_TRAIN'), (78543, 'UN_AVL'), (78549, 'AVL_TRAIN'), (79377, 'UN_AVL'), (79379, 'AVL_TRAIN'), (79486, 'UN_AVL'), (79495, 'AVL_TRAIN'), (79791, 'UN_AVL'), (79796, 'AVL_TRAIN'), (80059, 'UN_AVL'), (80071, 'AVL_TRAIN'), (80937, 'UN_AVL'), (80967, 'AVL_TRAIN'), (80978, 'UN_AVL'), (80979, 'AVL_TRAIN'), (81195, 'UN_AVL'), (81206, 'AVL_TRAIN'), (85845, 'AVL_EVAL'), (86392, 'AVL_TRAIN'), (87189, 'AVL_EVAL'), (89364, 'AVL_TRAIN'), (89365, 'AVL_EVAL'), (97105, 'UN_AVL'), (102534, 'AVL_TRAIN'), (124202, 'AVL_EVAL'), (160572, 'UN_AVL'), (168151, 'AVL_TRAIN'), (168659, 'UN_AVL'), (168714, 'AVL_TRAIN'), (169183, 'UN_AVL'), (170940, 'AVL_TRAIN'), (171086, 'UN_AVL'), (172784, 'AVL_TRAIN')]", diff --git a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_126.json b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_126.json index 1cdc9afe5..465f64457 100644 --- a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_126.json +++ b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_126.json @@ -81,7 +81,7 @@ "manual_seed": 42, "client_num_in_total": 0, "warmup_ratio": 1, - "training_delay_enabled": "True", + "training_delay_enabled": "False", "training_delay_factor": "10", "training_delay_s": "2.0", "avl_events_mobiperf_3st_50": "[(0, 'AVL_TRAIN'), (227, 'AVL_EVAL'), (1757, 'AVL_TRAIN'), (2266, 'AVL_EVAL'), (15753, 'UN_AVL'), (75638, 'AVL_TRAIN'), (76263, 'UN_AVL'), (77006, 'AVL_TRAIN'), (78334, 'UN_AVL'), (78346, 'AVL_TRAIN'), (78405, 'UN_AVL'), (78406, 'AVL_TRAIN'), (78543, 'UN_AVL'), (78549, 'AVL_TRAIN'), (79377, 'UN_AVL'), (79379, 'AVL_TRAIN'), (79486, 'UN_AVL'), (79495, 'AVL_TRAIN'), (79791, 'UN_AVL'), (79796, 'AVL_TRAIN'), (80059, 'UN_AVL'), (80071, 'AVL_TRAIN'), (80937, 'UN_AVL'), (80967, 'AVL_TRAIN'), (80978, 'UN_AVL'), (80979, 'AVL_TRAIN'), (81195, 'UN_AVL'), (81206, 'AVL_TRAIN'), (85845, 'AVL_EVAL'), (86392, 'AVL_TRAIN'), (87189, 'AVL_EVAL'), (89364, 'AVL_TRAIN'), (89365, 'AVL_EVAL'), (97105, 'UN_AVL'), (102534, 'AVL_TRAIN'), (124202, 'AVL_EVAL'), (160572, 'UN_AVL'), (168151, 'AVL_TRAIN'), (168659, 'UN_AVL'), (168714, 'AVL_TRAIN'), (169183, 'UN_AVL'), (170940, 'AVL_TRAIN'), (171086, 'UN_AVL'), (172784, 'AVL_TRAIN')]", diff --git a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_127.json b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_127.json index 1848153a6..64b0a4d65 100644 --- a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_127.json +++ b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_127.json @@ -81,7 +81,7 @@ "manual_seed": 42, "client_num_in_total": 0, "warmup_ratio": 1, - "training_delay_enabled": "True", + "training_delay_enabled": "False", "training_delay_factor": "10", "training_delay_s": "10.0", "avl_events_mobiperf_3st_50": "[(0, 'AVL_TRAIN'), (227, 'AVL_EVAL'), (1757, 'AVL_TRAIN'), (2266, 'AVL_EVAL'), (15753, 'UN_AVL'), (75638, 'AVL_TRAIN'), (76263, 'UN_AVL'), (77006, 'AVL_TRAIN'), (78334, 'UN_AVL'), (78346, 'AVL_TRAIN'), (78405, 'UN_AVL'), (78406, 'AVL_TRAIN'), (78543, 'UN_AVL'), (78549, 'AVL_TRAIN'), (79377, 'UN_AVL'), (79379, 'AVL_TRAIN'), (79486, 'UN_AVL'), (79495, 'AVL_TRAIN'), (79791, 'UN_AVL'), (79796, 'AVL_TRAIN'), (80059, 'UN_AVL'), (80071, 'AVL_TRAIN'), (80937, 'UN_AVL'), (80967, 'AVL_TRAIN'), (80978, 'UN_AVL'), (80979, 'AVL_TRAIN'), (81195, 'UN_AVL'), (81206, 'AVL_TRAIN'), (85845, 'AVL_EVAL'), (86392, 'AVL_TRAIN'), (87189, 'AVL_EVAL'), (89364, 'AVL_TRAIN'), (89365, 'AVL_EVAL'), (97105, 'UN_AVL'), (102534, 'AVL_TRAIN'), (124202, 'AVL_EVAL'), (160572, 'UN_AVL'), (168151, 'AVL_TRAIN'), (168659, 'UN_AVL'), (168714, 'AVL_TRAIN'), (169183, 'UN_AVL'), (170940, 'AVL_TRAIN'), (171086, 'UN_AVL'), (172784, 'AVL_TRAIN')]", diff --git a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_128.json b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_128.json index 56718cd5e..b15a1d5fd 100644 --- a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_128.json +++ b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_128.json @@ -81,7 +81,7 @@ "manual_seed": 42, "client_num_in_total": 0, "warmup_ratio": 1, - "training_delay_enabled": "True", + "training_delay_enabled": "False", "training_delay_factor": "10", "training_delay_s": "22.0", "avl_events_mobiperf_3st_50": "[(0, 'AVL_TRAIN'), (227, 'AVL_EVAL'), (1757, 'AVL_TRAIN'), (2266, 'AVL_EVAL'), (15753, 'UN_AVL'), (75638, 'AVL_TRAIN'), (76263, 'UN_AVL'), (77006, 'AVL_TRAIN'), (78334, 'UN_AVL'), (78346, 'AVL_TRAIN'), (78405, 'UN_AVL'), (78406, 'AVL_TRAIN'), (78543, 'UN_AVL'), (78549, 'AVL_TRAIN'), (79377, 'UN_AVL'), (79379, 'AVL_TRAIN'), (79486, 'UN_AVL'), (79495, 'AVL_TRAIN'), (79791, 'UN_AVL'), (79796, 'AVL_TRAIN'), (80059, 'UN_AVL'), (80071, 'AVL_TRAIN'), (80937, 'UN_AVL'), (80967, 'AVL_TRAIN'), (80978, 'UN_AVL'), (80979, 'AVL_TRAIN'), (81195, 'UN_AVL'), (81206, 'AVL_TRAIN'), (85845, 'AVL_EVAL'), (86392, 'AVL_TRAIN'), (87189, 'AVL_EVAL'), (89364, 'AVL_TRAIN'), (89365, 'AVL_EVAL'), (97105, 'UN_AVL'), (102534, 'AVL_TRAIN'), (124202, 'AVL_EVAL'), (160572, 'UN_AVL'), (168151, 'AVL_TRAIN'), (168659, 'UN_AVL'), (168714, 'AVL_TRAIN'), (169183, 'UN_AVL'), (170940, 'AVL_TRAIN'), (171086, 'UN_AVL'), (172784, 'AVL_TRAIN')]", diff --git a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_129.json b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_129.json index 6bc2195c5..b7edd69e6 100644 --- a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_129.json +++ b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_129.json @@ -81,7 +81,7 @@ "manual_seed": 42, "client_num_in_total": 0, "warmup_ratio": 1, - "training_delay_enabled": "True", + "training_delay_enabled": "False", "training_delay_factor": "10", "training_delay_s": "18.0", "avl_events_mobiperf_3st_50": "[(0, 'AVL_TRAIN'), (227, 'AVL_EVAL'), (1757, 'AVL_TRAIN'), (2266, 'AVL_EVAL'), (15753, 'UN_AVL'), (75638, 'AVL_TRAIN'), (76263, 'UN_AVL'), (77006, 'AVL_TRAIN'), (78334, 'UN_AVL'), (78346, 'AVL_TRAIN'), (78405, 'UN_AVL'), (78406, 'AVL_TRAIN'), (78543, 'UN_AVL'), (78549, 'AVL_TRAIN'), (79377, 'UN_AVL'), (79379, 'AVL_TRAIN'), (79486, 'UN_AVL'), (79495, 'AVL_TRAIN'), (79791, 'UN_AVL'), (79796, 'AVL_TRAIN'), (80059, 'UN_AVL'), (80071, 'AVL_TRAIN'), (80937, 'UN_AVL'), (80967, 'AVL_TRAIN'), (80978, 'UN_AVL'), (80979, 'AVL_TRAIN'), (81195, 'UN_AVL'), (81206, 'AVL_TRAIN'), (85845, 'AVL_EVAL'), (86392, 'AVL_TRAIN'), (87189, 'AVL_EVAL'), (89364, 'AVL_TRAIN'), (89365, 'AVL_EVAL'), (97105, 'UN_AVL'), (102534, 'AVL_TRAIN'), (124202, 'AVL_EVAL'), (160572, 'UN_AVL'), (168151, 'AVL_TRAIN'), (168659, 'UN_AVL'), (168714, 'AVL_TRAIN'), (169183, 'UN_AVL'), (170940, 'AVL_TRAIN'), (171086, 'UN_AVL'), (172784, 'AVL_TRAIN')]", diff --git a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_13.json b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_13.json index 60430bab2..4c7c2d718 100644 --- a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_13.json +++ b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_13.json @@ -81,7 +81,7 @@ "manual_seed": 42, "client_num_in_total": 0, "warmup_ratio": 1, - "training_delay_enabled": "True", + "training_delay_enabled": "False", "training_delay_factor": "10", "training_delay_s": "3.0", "avl_events_mobiperf_3st_50": "[(0, 'AVL_TRAIN'), (300, 'UN_AVL'), (244912, 'AVL_TRAIN'), (245929, 'UN_AVL'), (246546, 'AVL_TRAIN'), (251386, 'AVL_EVAL'), (266250, 'UN_AVL'), (269540, 'AVL_TRAIN'), (274003, 'AVL_EVAL'), (276200, 'UN_AVL'), (288068, 'AVL_TRAIN'), (292699, 'AVL_EVAL'), (310101, 'UN_AVL'), (310428, 'AVL_TRAIN'), (316236, 'AVL_EVAL'), (360109, 'UN_AVL'), (360149, 'AVL_TRAIN'), (366301, 'AVL_EVAL'), (423844, 'UN_AVL'), (427556, 'AVL_TRAIN'), (431311, 'AVL_EVAL'), (432665, 'AVL_TRAIN'), (433852, 'AVL_EVAL'), (443170, 'UN_AVL'), (443616, 'AVL_TRAIN'), (477502, 'UN_AVL')]", diff --git a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_130.json b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_130.json index 44666fb0c..c4a79bee5 100644 --- a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_130.json +++ b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_130.json @@ -81,7 +81,7 @@ "manual_seed": 42, "client_num_in_total": 0, "warmup_ratio": 1, - "training_delay_enabled": "True", + "training_delay_enabled": "False", "training_delay_factor": "10", "training_delay_s": "13.0", "avl_events_mobiperf_3st_50": "[(0, 'AVL_TRAIN'), (227, 'AVL_EVAL'), (1757, 'AVL_TRAIN'), (2266, 'AVL_EVAL'), (15753, 'UN_AVL'), (75638, 'AVL_TRAIN'), (76263, 'UN_AVL'), (77006, 'AVL_TRAIN'), (78334, 'UN_AVL'), (78346, 'AVL_TRAIN'), (78405, 'UN_AVL'), (78406, 'AVL_TRAIN'), (78543, 'UN_AVL'), (78549, 'AVL_TRAIN'), (79377, 'UN_AVL'), (79379, 'AVL_TRAIN'), (79486, 'UN_AVL'), (79495, 'AVL_TRAIN'), (79791, 'UN_AVL'), (79796, 'AVL_TRAIN'), (80059, 'UN_AVL'), (80071, 'AVL_TRAIN'), (80937, 'UN_AVL'), (80967, 'AVL_TRAIN'), (80978, 'UN_AVL'), (80979, 'AVL_TRAIN'), (81195, 'UN_AVL'), (81206, 'AVL_TRAIN'), (85845, 'AVL_EVAL'), (86392, 'AVL_TRAIN'), (87189, 'AVL_EVAL'), (89364, 'AVL_TRAIN'), (89365, 'AVL_EVAL'), (97105, 'UN_AVL'), (102534, 'AVL_TRAIN'), (124202, 'AVL_EVAL'), (160572, 'UN_AVL'), (168151, 'AVL_TRAIN'), (168659, 'UN_AVL'), (168714, 'AVL_TRAIN'), (169183, 'UN_AVL'), (170940, 'AVL_TRAIN'), (171086, 'UN_AVL'), (172784, 'AVL_TRAIN')]", diff --git a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_131.json b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_131.json index f708339c0..e07d6d482 100644 --- a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_131.json +++ b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_131.json @@ -81,7 +81,7 @@ "manual_seed": 42, "client_num_in_total": 0, "warmup_ratio": 1, - "training_delay_enabled": "True", + "training_delay_enabled": "False", "training_delay_factor": "10", "training_delay_s": "12.0", "avl_events_mobiperf_3st_50": "[(0, 'AVL_TRAIN'), (227, 'AVL_EVAL'), (1757, 'AVL_TRAIN'), (2266, 'AVL_EVAL'), (15753, 'UN_AVL'), (75638, 'AVL_TRAIN'), (76263, 'UN_AVL'), (77006, 'AVL_TRAIN'), (78334, 'UN_AVL'), (78346, 'AVL_TRAIN'), (78405, 'UN_AVL'), (78406, 'AVL_TRAIN'), (78543, 'UN_AVL'), (78549, 'AVL_TRAIN'), (79377, 'UN_AVL'), (79379, 'AVL_TRAIN'), (79486, 'UN_AVL'), (79495, 'AVL_TRAIN'), (79791, 'UN_AVL'), (79796, 'AVL_TRAIN'), (80059, 'UN_AVL'), (80071, 'AVL_TRAIN'), (80937, 'UN_AVL'), (80967, 'AVL_TRAIN'), (80978, 'UN_AVL'), (80979, 'AVL_TRAIN'), (81195, 'UN_AVL'), (81206, 'AVL_TRAIN'), (85845, 'AVL_EVAL'), (86392, 'AVL_TRAIN'), (87189, 'AVL_EVAL'), (89364, 'AVL_TRAIN'), (89365, 'AVL_EVAL'), (97105, 'UN_AVL'), (102534, 'AVL_TRAIN'), (124202, 'AVL_EVAL'), (160572, 'UN_AVL'), (168151, 'AVL_TRAIN'), (168659, 'UN_AVL'), (168714, 'AVL_TRAIN'), (169183, 'UN_AVL'), (170940, 'AVL_TRAIN'), (171086, 'UN_AVL'), (172784, 'AVL_TRAIN')]", diff --git a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_132.json b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_132.json index 6c35e8a0c..b86f0deb9 100644 --- a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_132.json +++ b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_132.json @@ -81,7 +81,7 @@ "manual_seed": 42, "client_num_in_total": 0, "warmup_ratio": 1, - "training_delay_enabled": "True", + "training_delay_enabled": "False", "training_delay_factor": "10", "training_delay_s": "2.0", "avl_events_mobiperf_3st_50": "[(0, 'AVL_TRAIN'), (227, 'AVL_EVAL'), (1757, 'AVL_TRAIN'), (2266, 'AVL_EVAL'), (15753, 'UN_AVL'), (75638, 'AVL_TRAIN'), (76263, 'UN_AVL'), (77006, 'AVL_TRAIN'), (78334, 'UN_AVL'), (78346, 'AVL_TRAIN'), (78405, 'UN_AVL'), (78406, 'AVL_TRAIN'), (78543, 'UN_AVL'), (78549, 'AVL_TRAIN'), (79377, 'UN_AVL'), (79379, 'AVL_TRAIN'), (79486, 'UN_AVL'), (79495, 'AVL_TRAIN'), (79791, 'UN_AVL'), (79796, 'AVL_TRAIN'), (80059, 'UN_AVL'), (80071, 'AVL_TRAIN'), (80937, 'UN_AVL'), (80967, 'AVL_TRAIN'), (80978, 'UN_AVL'), (80979, 'AVL_TRAIN'), (81195, 'UN_AVL'), (81206, 'AVL_TRAIN'), (85845, 'AVL_EVAL'), (86392, 'AVL_TRAIN'), (87189, 'AVL_EVAL'), (89364, 'AVL_TRAIN'), (89365, 'AVL_EVAL'), (97105, 'UN_AVL'), (102534, 'AVL_TRAIN'), (124202, 'AVL_EVAL'), (160572, 'UN_AVL'), (168151, 'AVL_TRAIN'), (168659, 'UN_AVL'), (168714, 'AVL_TRAIN'), (169183, 'UN_AVL'), (170940, 'AVL_TRAIN'), (171086, 'UN_AVL'), (172784, 'AVL_TRAIN')]", diff --git a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_133.json b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_133.json index 4d340ebfe..b681a3618 100644 --- a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_133.json +++ b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_133.json @@ -81,7 +81,7 @@ "manual_seed": 42, "client_num_in_total": 0, "warmup_ratio": 1, - "training_delay_enabled": "True", + "training_delay_enabled": "False", "training_delay_factor": "10", "training_delay_s": "12.0", "avl_events_mobiperf_3st_50": "[(0, 'AVL_TRAIN'), (227, 'AVL_EVAL'), (1757, 'AVL_TRAIN'), (2266, 'AVL_EVAL'), (15753, 'UN_AVL'), (75638, 'AVL_TRAIN'), (76263, 'UN_AVL'), (77006, 'AVL_TRAIN'), (78334, 'UN_AVL'), (78346, 'AVL_TRAIN'), (78405, 'UN_AVL'), (78406, 'AVL_TRAIN'), (78543, 'UN_AVL'), (78549, 'AVL_TRAIN'), (79377, 'UN_AVL'), (79379, 'AVL_TRAIN'), (79486, 'UN_AVL'), (79495, 'AVL_TRAIN'), (79791, 'UN_AVL'), (79796, 'AVL_TRAIN'), (80059, 'UN_AVL'), (80071, 'AVL_TRAIN'), (80937, 'UN_AVL'), (80967, 'AVL_TRAIN'), (80978, 'UN_AVL'), (80979, 'AVL_TRAIN'), (81195, 'UN_AVL'), (81206, 'AVL_TRAIN'), (85845, 'AVL_EVAL'), (86392, 'AVL_TRAIN'), (87189, 'AVL_EVAL'), (89364, 'AVL_TRAIN'), (89365, 'AVL_EVAL'), (97105, 'UN_AVL'), (102534, 'AVL_TRAIN'), (124202, 'AVL_EVAL'), (160572, 'UN_AVL'), (168151, 'AVL_TRAIN'), (168659, 'UN_AVL'), (168714, 'AVL_TRAIN'), (169183, 'UN_AVL'), (170940, 'AVL_TRAIN'), (171086, 'UN_AVL'), (172784, 'AVL_TRAIN')]", diff --git a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_134.json b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_134.json index 3a96cb769..f3c784426 100644 --- a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_134.json +++ b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_134.json @@ -81,7 +81,7 @@ "manual_seed": 42, "client_num_in_total": 0, "warmup_ratio": 1, - "training_delay_enabled": "True", + "training_delay_enabled": "False", "training_delay_factor": "10", "training_delay_s": "7.0", "avl_events_mobiperf_3st_50": "[(0, 'AVL_TRAIN'), (227, 'AVL_EVAL'), (1757, 'AVL_TRAIN'), (2266, 'AVL_EVAL'), (15753, 'UN_AVL'), (75638, 'AVL_TRAIN'), (76263, 'UN_AVL'), (77006, 'AVL_TRAIN'), (78334, 'UN_AVL'), (78346, 'AVL_TRAIN'), (78405, 'UN_AVL'), (78406, 'AVL_TRAIN'), (78543, 'UN_AVL'), (78549, 'AVL_TRAIN'), (79377, 'UN_AVL'), (79379, 'AVL_TRAIN'), (79486, 'UN_AVL'), (79495, 'AVL_TRAIN'), (79791, 'UN_AVL'), (79796, 'AVL_TRAIN'), (80059, 'UN_AVL'), (80071, 'AVL_TRAIN'), (80937, 'UN_AVL'), (80967, 'AVL_TRAIN'), (80978, 'UN_AVL'), (80979, 'AVL_TRAIN'), (81195, 'UN_AVL'), (81206, 'AVL_TRAIN'), (85845, 'AVL_EVAL'), (86392, 'AVL_TRAIN'), (87189, 'AVL_EVAL'), (89364, 'AVL_TRAIN'), (89365, 'AVL_EVAL'), (97105, 'UN_AVL'), (102534, 'AVL_TRAIN'), (124202, 'AVL_EVAL'), (160572, 'UN_AVL'), (168151, 'AVL_TRAIN'), (168659, 'UN_AVL'), (168714, 'AVL_TRAIN'), (169183, 'UN_AVL'), (170940, 'AVL_TRAIN'), (171086, 'UN_AVL'), (172784, 'AVL_TRAIN')]", diff --git a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_135.json b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_135.json index 0d8976116..b17389783 100644 --- a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_135.json +++ b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_135.json @@ -81,7 +81,7 @@ "manual_seed": 42, "client_num_in_total": 0, "warmup_ratio": 1, - "training_delay_enabled": "True", + "training_delay_enabled": "False", "training_delay_factor": "10", "training_delay_s": "15.0", "avl_events_mobiperf_3st_50": "[(0, 'AVL_TRAIN'), (227, 'AVL_EVAL'), (1757, 'AVL_TRAIN'), (2266, 'AVL_EVAL'), (15753, 'UN_AVL'), (75638, 'AVL_TRAIN'), (76263, 'UN_AVL'), (77006, 'AVL_TRAIN'), (78334, 'UN_AVL'), (78346, 'AVL_TRAIN'), (78405, 'UN_AVL'), (78406, 'AVL_TRAIN'), (78543, 'UN_AVL'), (78549, 'AVL_TRAIN'), (79377, 'UN_AVL'), (79379, 'AVL_TRAIN'), (79486, 'UN_AVL'), (79495, 'AVL_TRAIN'), (79791, 'UN_AVL'), (79796, 'AVL_TRAIN'), (80059, 'UN_AVL'), (80071, 'AVL_TRAIN'), (80937, 'UN_AVL'), (80967, 'AVL_TRAIN'), (80978, 'UN_AVL'), (80979, 'AVL_TRAIN'), (81195, 'UN_AVL'), (81206, 'AVL_TRAIN'), (85845, 'AVL_EVAL'), (86392, 'AVL_TRAIN'), (87189, 'AVL_EVAL'), (89364, 'AVL_TRAIN'), (89365, 'AVL_EVAL'), (97105, 'UN_AVL'), (102534, 'AVL_TRAIN'), (124202, 'AVL_EVAL'), (160572, 'UN_AVL'), (168151, 'AVL_TRAIN'), (168659, 'UN_AVL'), (168714, 'AVL_TRAIN'), (169183, 'UN_AVL'), (170940, 'AVL_TRAIN'), (171086, 'UN_AVL'), (172784, 'AVL_TRAIN')]", diff --git a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_136.json b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_136.json index 676b5c80e..d05850681 100644 --- a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_136.json +++ b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_136.json @@ -81,7 +81,7 @@ "manual_seed": 42, "client_num_in_total": 0, "warmup_ratio": 1, - "training_delay_enabled": "True", + "training_delay_enabled": "False", "training_delay_factor": "10", "training_delay_s": "22.0", "avl_events_mobiperf_3st_50": "[(0, 'AVL_TRAIN'), (227, 'AVL_EVAL'), (1757, 'AVL_TRAIN'), (2266, 'AVL_EVAL'), (15753, 'UN_AVL'), (75638, 'AVL_TRAIN'), (76263, 'UN_AVL'), (77006, 'AVL_TRAIN'), (78334, 'UN_AVL'), (78346, 'AVL_TRAIN'), (78405, 'UN_AVL'), (78406, 'AVL_TRAIN'), (78543, 'UN_AVL'), (78549, 'AVL_TRAIN'), (79377, 'UN_AVL'), (79379, 'AVL_TRAIN'), (79486, 'UN_AVL'), (79495, 'AVL_TRAIN'), (79791, 'UN_AVL'), (79796, 'AVL_TRAIN'), (80059, 'UN_AVL'), (80071, 'AVL_TRAIN'), (80937, 'UN_AVL'), (80967, 'AVL_TRAIN'), (80978, 'UN_AVL'), (80979, 'AVL_TRAIN'), (81195, 'UN_AVL'), (81206, 'AVL_TRAIN'), (85845, 'AVL_EVAL'), (86392, 'AVL_TRAIN'), (87189, 'AVL_EVAL'), (89364, 'AVL_TRAIN'), (89365, 'AVL_EVAL'), (97105, 'UN_AVL'), (102534, 'AVL_TRAIN'), (124202, 'AVL_EVAL'), (160572, 'UN_AVL'), (168151, 'AVL_TRAIN'), (168659, 'UN_AVL'), (168714, 'AVL_TRAIN'), (169183, 'UN_AVL'), (170940, 'AVL_TRAIN'), (171086, 'UN_AVL'), (172784, 'AVL_TRAIN')]", diff --git a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_137.json b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_137.json index 90b71cf8c..849cc9737 100644 --- a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_137.json +++ b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_137.json @@ -81,7 +81,7 @@ "manual_seed": 42, "client_num_in_total": 0, "warmup_ratio": 1, - "training_delay_enabled": "True", + "training_delay_enabled": "False", "training_delay_factor": "10", "training_delay_s": "12.0", "avl_events_mobiperf_3st_50": "[(0, 'AVL_TRAIN'), (227, 'AVL_EVAL'), (1757, 'AVL_TRAIN'), (2266, 'AVL_EVAL'), (15753, 'UN_AVL'), (75638, 'AVL_TRAIN'), (76263, 'UN_AVL'), (77006, 'AVL_TRAIN'), (78334, 'UN_AVL'), (78346, 'AVL_TRAIN'), (78405, 'UN_AVL'), (78406, 'AVL_TRAIN'), (78543, 'UN_AVL'), (78549, 'AVL_TRAIN'), (79377, 'UN_AVL'), (79379, 'AVL_TRAIN'), (79486, 'UN_AVL'), (79495, 'AVL_TRAIN'), (79791, 'UN_AVL'), (79796, 'AVL_TRAIN'), (80059, 'UN_AVL'), (80071, 'AVL_TRAIN'), (80937, 'UN_AVL'), (80967, 'AVL_TRAIN'), (80978, 'UN_AVL'), (80979, 'AVL_TRAIN'), (81195, 'UN_AVL'), (81206, 'AVL_TRAIN'), (85845, 'AVL_EVAL'), (86392, 'AVL_TRAIN'), (87189, 'AVL_EVAL'), (89364, 'AVL_TRAIN'), (89365, 'AVL_EVAL'), (97105, 'UN_AVL'), (102534, 'AVL_TRAIN'), (124202, 'AVL_EVAL'), (160572, 'UN_AVL'), (168151, 'AVL_TRAIN'), (168659, 'UN_AVL'), (168714, 'AVL_TRAIN'), (169183, 'UN_AVL'), (170940, 'AVL_TRAIN'), (171086, 'UN_AVL'), (172784, 'AVL_TRAIN')]", diff --git a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_138.json b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_138.json index 1f0c383e6..9bb6c308b 100644 --- a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_138.json +++ b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_138.json @@ -81,7 +81,7 @@ "manual_seed": 42, "client_num_in_total": 0, "warmup_ratio": 1, - "training_delay_enabled": "True", + "training_delay_enabled": "False", "training_delay_factor": "10", "training_delay_s": "5.0", "avl_events_mobiperf_3st_50": "[(0, 'AVL_TRAIN'), (227, 'AVL_EVAL'), (1757, 'AVL_TRAIN'), (2266, 'AVL_EVAL'), (15753, 'UN_AVL'), (75638, 'AVL_TRAIN'), (76263, 'UN_AVL'), (77006, 'AVL_TRAIN'), (78334, 'UN_AVL'), (78346, 'AVL_TRAIN'), (78405, 'UN_AVL'), (78406, 'AVL_TRAIN'), (78543, 'UN_AVL'), (78549, 'AVL_TRAIN'), (79377, 'UN_AVL'), (79379, 'AVL_TRAIN'), (79486, 'UN_AVL'), (79495, 'AVL_TRAIN'), (79791, 'UN_AVL'), (79796, 'AVL_TRAIN'), (80059, 'UN_AVL'), (80071, 'AVL_TRAIN'), (80937, 'UN_AVL'), (80967, 'AVL_TRAIN'), (80978, 'UN_AVL'), (80979, 'AVL_TRAIN'), (81195, 'UN_AVL'), (81206, 'AVL_TRAIN'), (85845, 'AVL_EVAL'), (86392, 'AVL_TRAIN'), (87189, 'AVL_EVAL'), (89364, 'AVL_TRAIN'), (89365, 'AVL_EVAL'), (97105, 'UN_AVL'), (102534, 'AVL_TRAIN'), (124202, 'AVL_EVAL'), (160572, 'UN_AVL'), (168151, 'AVL_TRAIN'), (168659, 'UN_AVL'), (168714, 'AVL_TRAIN'), (169183, 'UN_AVL'), (170940, 'AVL_TRAIN'), (171086, 'UN_AVL'), (172784, 'AVL_TRAIN')]", diff --git a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_139.json b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_139.json index 91463296a..114641550 100644 --- a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_139.json +++ b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_139.json @@ -81,7 +81,7 @@ "manual_seed": 42, "client_num_in_total": 0, "warmup_ratio": 1, - "training_delay_enabled": "True", + "training_delay_enabled": "False", "training_delay_factor": "10", "training_delay_s": "2.0", "avl_events_mobiperf_3st_50": "[(0, 'AVL_TRAIN'), (227, 'AVL_EVAL'), (1757, 'AVL_TRAIN'), (2266, 'AVL_EVAL'), (15753, 'UN_AVL'), (75638, 'AVL_TRAIN'), (76263, 'UN_AVL'), (77006, 'AVL_TRAIN'), (78334, 'UN_AVL'), (78346, 'AVL_TRAIN'), (78405, 'UN_AVL'), (78406, 'AVL_TRAIN'), (78543, 'UN_AVL'), (78549, 'AVL_TRAIN'), (79377, 'UN_AVL'), (79379, 'AVL_TRAIN'), (79486, 'UN_AVL'), (79495, 'AVL_TRAIN'), (79791, 'UN_AVL'), (79796, 'AVL_TRAIN'), (80059, 'UN_AVL'), (80071, 'AVL_TRAIN'), (80937, 'UN_AVL'), (80967, 'AVL_TRAIN'), (80978, 'UN_AVL'), (80979, 'AVL_TRAIN'), (81195, 'UN_AVL'), (81206, 'AVL_TRAIN'), (85845, 'AVL_EVAL'), (86392, 'AVL_TRAIN'), (87189, 'AVL_EVAL'), (89364, 'AVL_TRAIN'), (89365, 'AVL_EVAL'), (97105, 'UN_AVL'), (102534, 'AVL_TRAIN'), (124202, 'AVL_EVAL'), (160572, 'UN_AVL'), (168151, 'AVL_TRAIN'), (168659, 'UN_AVL'), (168714, 'AVL_TRAIN'), (169183, 'UN_AVL'), (170940, 'AVL_TRAIN'), (171086, 'UN_AVL'), (172784, 'AVL_TRAIN')]", diff --git a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_14.json b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_14.json index 5c7699f35..25b3ff6a1 100644 --- a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_14.json +++ b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_14.json @@ -81,7 +81,7 @@ "manual_seed": 42, "client_num_in_total": 0, "warmup_ratio": 1, - "training_delay_enabled": "True", + "training_delay_enabled": "False", "training_delay_factor": "10", "training_delay_s": "6.0", "avl_events_mobiperf_3st_50": "[(0, 'AVL_TRAIN'), (300, 'UN_AVL'), (24725, 'AVL_EVAL'), (40876, 'AVL_TRAIN'), (43307, 'AVL_EVAL'), (98187, 'UN_AVL'), (98792, 'AVL_TRAIN'), (99888, 'AVL_EVAL'), (101704, 'UN_AVL'), (102200, 'AVL_TRAIN'), (106252, 'AVL_EVAL'), (109247, 'AVL_TRAIN'), (109361, 'AVL_EVAL'), (127445, 'AVL_TRAIN'), (129934, 'AVL_EVAL'), (182620, 'UN_AVL'), (182639, 'AVL_TRAIN'), (186618, 'AVL_EVAL'), (186618, 'AVL_TRAIN'), (186643, 'AVL_EVAL'), (198934, 'UN_AVL'), (225988, 'AVL_TRAIN'), (232715, 'AVL_EVAL'), (265339, 'UN_AVL'), (283946, 'AVL_TRAIN'), (286819, 'AVL_EVAL'), (288121, 'AVL_TRAIN'), (293395, 'AVL_EVAL'), (349055, 'UN_AVL'), (356443, 'AVL_TRAIN'), (360551, 'AVL_EVAL'), (360724, 'AVL_TRAIN'), (363760, 'AVL_EVAL'), (430047, 'UN_AVL'), (447070, 'AVL_EVAL'), (452577, 'AVL_TRAIN'), (455553, 'UN_AVL')]", diff --git a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_140.json b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_140.json index 898e8f95a..c9836e396 100644 --- a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_140.json +++ b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_140.json @@ -81,7 +81,7 @@ "manual_seed": 42, "client_num_in_total": 0, "warmup_ratio": 1, - "training_delay_enabled": "True", + "training_delay_enabled": "False", "training_delay_factor": "10", "training_delay_s": "18.0", "avl_events_mobiperf_3st_50": "[(0, 'AVL_TRAIN'), (227, 'AVL_EVAL'), (1757, 'AVL_TRAIN'), (2266, 'AVL_EVAL'), (15753, 'UN_AVL'), (75638, 'AVL_TRAIN'), (76263, 'UN_AVL'), (77006, 'AVL_TRAIN'), (78334, 'UN_AVL'), (78346, 'AVL_TRAIN'), (78405, 'UN_AVL'), (78406, 'AVL_TRAIN'), (78543, 'UN_AVL'), (78549, 'AVL_TRAIN'), (79377, 'UN_AVL'), (79379, 'AVL_TRAIN'), (79486, 'UN_AVL'), (79495, 'AVL_TRAIN'), (79791, 'UN_AVL'), (79796, 'AVL_TRAIN'), (80059, 'UN_AVL'), (80071, 'AVL_TRAIN'), (80937, 'UN_AVL'), (80967, 'AVL_TRAIN'), (80978, 'UN_AVL'), (80979, 'AVL_TRAIN'), (81195, 'UN_AVL'), (81206, 'AVL_TRAIN'), (85845, 'AVL_EVAL'), (86392, 'AVL_TRAIN'), (87189, 'AVL_EVAL'), (89364, 'AVL_TRAIN'), (89365, 'AVL_EVAL'), (97105, 'UN_AVL'), (102534, 'AVL_TRAIN'), (124202, 'AVL_EVAL'), (160572, 'UN_AVL'), (168151, 'AVL_TRAIN'), (168659, 'UN_AVL'), (168714, 'AVL_TRAIN'), (169183, 'UN_AVL'), (170940, 'AVL_TRAIN'), (171086, 'UN_AVL'), (172784, 'AVL_TRAIN')]", diff --git a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_141.json b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_141.json index b6a69a75e..121b065e4 100644 --- a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_141.json +++ b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_141.json @@ -81,7 +81,7 @@ "manual_seed": 42, "client_num_in_total": 0, "warmup_ratio": 1, - "training_delay_enabled": "True", + "training_delay_enabled": "False", "training_delay_factor": "10", "training_delay_s": "15.0", "avl_events_mobiperf_3st_50": "[(0, 'AVL_TRAIN'), (227, 'AVL_EVAL'), (1757, 'AVL_TRAIN'), (2266, 'AVL_EVAL'), (15753, 'UN_AVL'), (75638, 'AVL_TRAIN'), (76263, 'UN_AVL'), (77006, 'AVL_TRAIN'), (78334, 'UN_AVL'), (78346, 'AVL_TRAIN'), (78405, 'UN_AVL'), (78406, 'AVL_TRAIN'), (78543, 'UN_AVL'), (78549, 'AVL_TRAIN'), (79377, 'UN_AVL'), (79379, 'AVL_TRAIN'), (79486, 'UN_AVL'), (79495, 'AVL_TRAIN'), (79791, 'UN_AVL'), (79796, 'AVL_TRAIN'), (80059, 'UN_AVL'), (80071, 'AVL_TRAIN'), (80937, 'UN_AVL'), (80967, 'AVL_TRAIN'), (80978, 'UN_AVL'), (80979, 'AVL_TRAIN'), (81195, 'UN_AVL'), (81206, 'AVL_TRAIN'), (85845, 'AVL_EVAL'), (86392, 'AVL_TRAIN'), (87189, 'AVL_EVAL'), (89364, 'AVL_TRAIN'), (89365, 'AVL_EVAL'), (97105, 'UN_AVL'), (102534, 'AVL_TRAIN'), (124202, 'AVL_EVAL'), (160572, 'UN_AVL'), (168151, 'AVL_TRAIN'), (168659, 'UN_AVL'), (168714, 'AVL_TRAIN'), (169183, 'UN_AVL'), (170940, 'AVL_TRAIN'), (171086, 'UN_AVL'), (172784, 'AVL_TRAIN')]", diff --git a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_142.json b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_142.json index d71ecfe2b..919f51d96 100644 --- a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_142.json +++ b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_142.json @@ -81,7 +81,7 @@ "manual_seed": 42, "client_num_in_total": 0, "warmup_ratio": 1, - "training_delay_enabled": "True", + "training_delay_enabled": "False", "training_delay_factor": "10", "training_delay_s": "16.0", "avl_events_mobiperf_3st_50": "[(0, 'AVL_TRAIN'), (227, 'AVL_EVAL'), (1757, 'AVL_TRAIN'), (2266, 'AVL_EVAL'), (15753, 'UN_AVL'), (75638, 'AVL_TRAIN'), (76263, 'UN_AVL'), (77006, 'AVL_TRAIN'), (78334, 'UN_AVL'), (78346, 'AVL_TRAIN'), (78405, 'UN_AVL'), (78406, 'AVL_TRAIN'), (78543, 'UN_AVL'), (78549, 'AVL_TRAIN'), (79377, 'UN_AVL'), (79379, 'AVL_TRAIN'), (79486, 'UN_AVL'), (79495, 'AVL_TRAIN'), (79791, 'UN_AVL'), (79796, 'AVL_TRAIN'), (80059, 'UN_AVL'), (80071, 'AVL_TRAIN'), (80937, 'UN_AVL'), (80967, 'AVL_TRAIN'), (80978, 'UN_AVL'), (80979, 'AVL_TRAIN'), (81195, 'UN_AVL'), (81206, 'AVL_TRAIN'), (85845, 'AVL_EVAL'), (86392, 'AVL_TRAIN'), (87189, 'AVL_EVAL'), (89364, 'AVL_TRAIN'), (89365, 'AVL_EVAL'), (97105, 'UN_AVL'), (102534, 'AVL_TRAIN'), (124202, 'AVL_EVAL'), (160572, 'UN_AVL'), (168151, 'AVL_TRAIN'), (168659, 'UN_AVL'), (168714, 'AVL_TRAIN'), (169183, 'UN_AVL'), (170940, 'AVL_TRAIN'), (171086, 'UN_AVL'), (172784, 'AVL_TRAIN')]", diff --git a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_143.json b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_143.json index 215089068..e5d6e2df7 100644 --- a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_143.json +++ b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_143.json @@ -81,7 +81,7 @@ "manual_seed": 42, "client_num_in_total": 0, "warmup_ratio": 1, - "training_delay_enabled": "True", + "training_delay_enabled": "False", "training_delay_factor": "10", "training_delay_s": "3.0", "avl_events_mobiperf_3st_50": "[(0, 'AVL_TRAIN'), (227, 'AVL_EVAL'), (1757, 'AVL_TRAIN'), (2266, 'AVL_EVAL'), (15753, 'UN_AVL'), (75638, 'AVL_TRAIN'), (76263, 'UN_AVL'), (77006, 'AVL_TRAIN'), (78334, 'UN_AVL'), (78346, 'AVL_TRAIN'), (78405, 'UN_AVL'), (78406, 'AVL_TRAIN'), (78543, 'UN_AVL'), (78549, 'AVL_TRAIN'), (79377, 'UN_AVL'), (79379, 'AVL_TRAIN'), (79486, 'UN_AVL'), (79495, 'AVL_TRAIN'), (79791, 'UN_AVL'), (79796, 'AVL_TRAIN'), (80059, 'UN_AVL'), (80071, 'AVL_TRAIN'), (80937, 'UN_AVL'), (80967, 'AVL_TRAIN'), (80978, 'UN_AVL'), (80979, 'AVL_TRAIN'), (81195, 'UN_AVL'), (81206, 'AVL_TRAIN'), (85845, 'AVL_EVAL'), (86392, 'AVL_TRAIN'), (87189, 'AVL_EVAL'), (89364, 'AVL_TRAIN'), (89365, 'AVL_EVAL'), (97105, 'UN_AVL'), (102534, 'AVL_TRAIN'), (124202, 'AVL_EVAL'), (160572, 'UN_AVL'), (168151, 'AVL_TRAIN'), (168659, 'UN_AVL'), (168714, 'AVL_TRAIN'), (169183, 'UN_AVL'), (170940, 'AVL_TRAIN'), (171086, 'UN_AVL'), (172784, 'AVL_TRAIN')]", diff --git a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_144.json b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_144.json index 92f11d868..6696f0785 100644 --- a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_144.json +++ b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_144.json @@ -81,7 +81,7 @@ "manual_seed": 42, "client_num_in_total": 0, "warmup_ratio": 1, - "training_delay_enabled": "True", + "training_delay_enabled": "False", "training_delay_factor": "10", "training_delay_s": "4.0", "avl_events_mobiperf_3st_50": "[(0, 'AVL_TRAIN'), (227, 'AVL_EVAL'), (1757, 'AVL_TRAIN'), (2266, 'AVL_EVAL'), (15753, 'UN_AVL'), (75638, 'AVL_TRAIN'), (76263, 'UN_AVL'), (77006, 'AVL_TRAIN'), (78334, 'UN_AVL'), (78346, 'AVL_TRAIN'), (78405, 'UN_AVL'), (78406, 'AVL_TRAIN'), (78543, 'UN_AVL'), (78549, 'AVL_TRAIN'), (79377, 'UN_AVL'), (79379, 'AVL_TRAIN'), (79486, 'UN_AVL'), (79495, 'AVL_TRAIN'), (79791, 'UN_AVL'), (79796, 'AVL_TRAIN'), (80059, 'UN_AVL'), (80071, 'AVL_TRAIN'), (80937, 'UN_AVL'), (80967, 'AVL_TRAIN'), (80978, 'UN_AVL'), (80979, 'AVL_TRAIN'), (81195, 'UN_AVL'), (81206, 'AVL_TRAIN'), (85845, 'AVL_EVAL'), (86392, 'AVL_TRAIN'), (87189, 'AVL_EVAL'), (89364, 'AVL_TRAIN'), (89365, 'AVL_EVAL'), (97105, 'UN_AVL'), (102534, 'AVL_TRAIN'), (124202, 'AVL_EVAL'), (160572, 'UN_AVL'), (168151, 'AVL_TRAIN'), (168659, 'UN_AVL'), (168714, 'AVL_TRAIN'), (169183, 'UN_AVL'), (170940, 'AVL_TRAIN'), (171086, 'UN_AVL'), (172784, 'AVL_TRAIN')]", diff --git a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_145.json b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_145.json index 8d0f89c50..983502fb6 100644 --- a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_145.json +++ b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_145.json @@ -81,7 +81,7 @@ "manual_seed": 42, "client_num_in_total": 0, "warmup_ratio": 1, - "training_delay_enabled": "True", + "training_delay_enabled": "False", "training_delay_factor": "10", "training_delay_s": "8.0", "avl_events_mobiperf_3st_50": "[(0, 'AVL_TRAIN'), (227, 'AVL_EVAL'), (1757, 'AVL_TRAIN'), (2266, 'AVL_EVAL'), (15753, 'UN_AVL'), (75638, 'AVL_TRAIN'), (76263, 'UN_AVL'), (77006, 'AVL_TRAIN'), (78334, 'UN_AVL'), (78346, 'AVL_TRAIN'), (78405, 'UN_AVL'), (78406, 'AVL_TRAIN'), (78543, 'UN_AVL'), (78549, 'AVL_TRAIN'), (79377, 'UN_AVL'), (79379, 'AVL_TRAIN'), (79486, 'UN_AVL'), (79495, 'AVL_TRAIN'), (79791, 'UN_AVL'), (79796, 'AVL_TRAIN'), (80059, 'UN_AVL'), (80071, 'AVL_TRAIN'), (80937, 'UN_AVL'), (80967, 'AVL_TRAIN'), (80978, 'UN_AVL'), (80979, 'AVL_TRAIN'), (81195, 'UN_AVL'), (81206, 'AVL_TRAIN'), (85845, 'AVL_EVAL'), (86392, 'AVL_TRAIN'), (87189, 'AVL_EVAL'), (89364, 'AVL_TRAIN'), (89365, 'AVL_EVAL'), (97105, 'UN_AVL'), (102534, 'AVL_TRAIN'), (124202, 'AVL_EVAL'), (160572, 'UN_AVL'), (168151, 'AVL_TRAIN'), (168659, 'UN_AVL'), (168714, 'AVL_TRAIN'), (169183, 'UN_AVL'), (170940, 'AVL_TRAIN'), (171086, 'UN_AVL'), (172784, 'AVL_TRAIN')]", diff --git a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_146.json b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_146.json index 7fdb9dddf..00dc16597 100644 --- a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_146.json +++ b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_146.json @@ -81,7 +81,7 @@ "manual_seed": 42, "client_num_in_total": 0, "warmup_ratio": 1, - "training_delay_enabled": "True", + "training_delay_enabled": "False", "training_delay_factor": "10", "training_delay_s": "29.0", "avl_events_mobiperf_3st_50": "[(0, 'AVL_TRAIN'), (227, 'AVL_EVAL'), (1757, 'AVL_TRAIN'), (2266, 'AVL_EVAL'), (15753, 'UN_AVL'), (75638, 'AVL_TRAIN'), (76263, 'UN_AVL'), (77006, 'AVL_TRAIN'), (78334, 'UN_AVL'), (78346, 'AVL_TRAIN'), (78405, 'UN_AVL'), (78406, 'AVL_TRAIN'), (78543, 'UN_AVL'), (78549, 'AVL_TRAIN'), (79377, 'UN_AVL'), (79379, 'AVL_TRAIN'), (79486, 'UN_AVL'), (79495, 'AVL_TRAIN'), (79791, 'UN_AVL'), (79796, 'AVL_TRAIN'), (80059, 'UN_AVL'), (80071, 'AVL_TRAIN'), (80937, 'UN_AVL'), (80967, 'AVL_TRAIN'), (80978, 'UN_AVL'), (80979, 'AVL_TRAIN'), (81195, 'UN_AVL'), (81206, 'AVL_TRAIN'), (85845, 'AVL_EVAL'), (86392, 'AVL_TRAIN'), (87189, 'AVL_EVAL'), (89364, 'AVL_TRAIN'), (89365, 'AVL_EVAL'), (97105, 'UN_AVL'), (102534, 'AVL_TRAIN'), (124202, 'AVL_EVAL'), (160572, 'UN_AVL'), (168151, 'AVL_TRAIN'), (168659, 'UN_AVL'), (168714, 'AVL_TRAIN'), (169183, 'UN_AVL'), (170940, 'AVL_TRAIN'), (171086, 'UN_AVL'), (172784, 'AVL_TRAIN')]", diff --git a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_147.json b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_147.json index 1ccf17d58..5616b8a6b 100644 --- a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_147.json +++ b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_147.json @@ -81,7 +81,7 @@ "manual_seed": 42, "client_num_in_total": 0, "warmup_ratio": 1, - "training_delay_enabled": "True", + "training_delay_enabled": "False", "training_delay_factor": "10", "training_delay_s": "10.0", "avl_events_mobiperf_3st_50": "[(0, 'AVL_TRAIN'), (227, 'AVL_EVAL'), (1757, 'AVL_TRAIN'), (2266, 'AVL_EVAL'), (15753, 'UN_AVL'), (75638, 'AVL_TRAIN'), (76263, 'UN_AVL'), (77006, 'AVL_TRAIN'), (78334, 'UN_AVL'), (78346, 'AVL_TRAIN'), (78405, 'UN_AVL'), (78406, 'AVL_TRAIN'), (78543, 'UN_AVL'), (78549, 'AVL_TRAIN'), (79377, 'UN_AVL'), (79379, 'AVL_TRAIN'), (79486, 'UN_AVL'), (79495, 'AVL_TRAIN'), (79791, 'UN_AVL'), (79796, 'AVL_TRAIN'), (80059, 'UN_AVL'), (80071, 'AVL_TRAIN'), (80937, 'UN_AVL'), (80967, 'AVL_TRAIN'), (80978, 'UN_AVL'), (80979, 'AVL_TRAIN'), (81195, 'UN_AVL'), (81206, 'AVL_TRAIN'), (85845, 'AVL_EVAL'), (86392, 'AVL_TRAIN'), (87189, 'AVL_EVAL'), (89364, 'AVL_TRAIN'), (89365, 'AVL_EVAL'), (97105, 'UN_AVL'), (102534, 'AVL_TRAIN'), (124202, 'AVL_EVAL'), (160572, 'UN_AVL'), (168151, 'AVL_TRAIN'), (168659, 'UN_AVL'), (168714, 'AVL_TRAIN'), (169183, 'UN_AVL'), (170940, 'AVL_TRAIN'), (171086, 'UN_AVL'), (172784, 'AVL_TRAIN')]", diff --git a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_148.json b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_148.json index a8401cf31..0d501d513 100644 --- a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_148.json +++ b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_148.json @@ -81,7 +81,7 @@ "manual_seed": 42, "client_num_in_total": 0, "warmup_ratio": 1, - "training_delay_enabled": "True", + "training_delay_enabled": "False", "training_delay_factor": "10", "training_delay_s": "7.0", "avl_events_mobiperf_3st_50": "[(0, 'AVL_TRAIN'), (227, 'AVL_EVAL'), (1757, 'AVL_TRAIN'), (2266, 'AVL_EVAL'), (15753, 'UN_AVL'), (75638, 'AVL_TRAIN'), (76263, 'UN_AVL'), (77006, 'AVL_TRAIN'), (78334, 'UN_AVL'), (78346, 'AVL_TRAIN'), (78405, 'UN_AVL'), (78406, 'AVL_TRAIN'), (78543, 'UN_AVL'), (78549, 'AVL_TRAIN'), (79377, 'UN_AVL'), (79379, 'AVL_TRAIN'), (79486, 'UN_AVL'), (79495, 'AVL_TRAIN'), (79791, 'UN_AVL'), (79796, 'AVL_TRAIN'), (80059, 'UN_AVL'), (80071, 'AVL_TRAIN'), (80937, 'UN_AVL'), (80967, 'AVL_TRAIN'), (80978, 'UN_AVL'), (80979, 'AVL_TRAIN'), (81195, 'UN_AVL'), (81206, 'AVL_TRAIN'), (85845, 'AVL_EVAL'), (86392, 'AVL_TRAIN'), (87189, 'AVL_EVAL'), (89364, 'AVL_TRAIN'), (89365, 'AVL_EVAL'), (97105, 'UN_AVL'), (102534, 'AVL_TRAIN'), (124202, 'AVL_EVAL'), (160572, 'UN_AVL'), (168151, 'AVL_TRAIN'), (168659, 'UN_AVL'), (168714, 'AVL_TRAIN'), (169183, 'UN_AVL'), (170940, 'AVL_TRAIN'), (171086, 'UN_AVL'), (172784, 'AVL_TRAIN')]", diff --git a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_149.json b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_149.json index c69dcc6a1..49ce307e7 100644 --- a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_149.json +++ b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_149.json @@ -81,7 +81,7 @@ "manual_seed": 42, "client_num_in_total": 0, "warmup_ratio": 1, - "training_delay_enabled": "True", + "training_delay_enabled": "False", "training_delay_factor": "10", "training_delay_s": "8.0", "avl_events_mobiperf_3st_50": "[(0, 'AVL_TRAIN'), (227, 'AVL_EVAL'), (1757, 'AVL_TRAIN'), (2266, 'AVL_EVAL'), (15753, 'UN_AVL'), (75638, 'AVL_TRAIN'), (76263, 'UN_AVL'), (77006, 'AVL_TRAIN'), (78334, 'UN_AVL'), (78346, 'AVL_TRAIN'), (78405, 'UN_AVL'), (78406, 'AVL_TRAIN'), (78543, 'UN_AVL'), (78549, 'AVL_TRAIN'), (79377, 'UN_AVL'), (79379, 'AVL_TRAIN'), (79486, 'UN_AVL'), (79495, 'AVL_TRAIN'), (79791, 'UN_AVL'), (79796, 'AVL_TRAIN'), (80059, 'UN_AVL'), (80071, 'AVL_TRAIN'), (80937, 'UN_AVL'), (80967, 'AVL_TRAIN'), (80978, 'UN_AVL'), (80979, 'AVL_TRAIN'), (81195, 'UN_AVL'), (81206, 'AVL_TRAIN'), (85845, 'AVL_EVAL'), (86392, 'AVL_TRAIN'), (87189, 'AVL_EVAL'), (89364, 'AVL_TRAIN'), (89365, 'AVL_EVAL'), (97105, 'UN_AVL'), (102534, 'AVL_TRAIN'), (124202, 'AVL_EVAL'), (160572, 'UN_AVL'), (168151, 'AVL_TRAIN'), (168659, 'UN_AVL'), (168714, 'AVL_TRAIN'), (169183, 'UN_AVL'), (170940, 'AVL_TRAIN'), (171086, 'UN_AVL'), (172784, 'AVL_TRAIN')]", diff --git a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_15.json b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_15.json index d8237fe2a..dbc2fd18e 100644 --- a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_15.json +++ b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_15.json @@ -81,7 +81,7 @@ "manual_seed": 42, "client_num_in_total": 0, "warmup_ratio": 1, - "training_delay_enabled": "True", + "training_delay_enabled": "False", "training_delay_factor": "10", "training_delay_s": "13.0", "avl_events_mobiperf_3st_50": "[(0, 'AVL_TRAIN'), (300, 'UN_AVL'), (8737, 'AVL_EVAL'), (8737, 'AVL_TRAIN'), (10357, 'AVL_EVAL'), (14357, 'AVL_TRAIN'), (15634, 'AVL_EVAL'), (25336, 'AVL_TRAIN'), (27196, 'AVL_EVAL'), (42670, 'AVL_TRAIN'), (42710, 'AVL_EVAL'), (99637, 'AVL_TRAIN'), (102235, 'AVL_EVAL'), (129391, 'AVL_TRAIN'), (130491, 'AVL_EVAL'), (174494, 'AVL_TRAIN'), (174534, 'AVL_EVAL'), (177832, 'AVL_TRAIN'), (178886, 'AVL_EVAL'), (181894, 'AVL_TRAIN'), (183171, 'AVL_EVAL'), (185229, 'AVL_TRAIN'), (187002, 'AVL_EVAL'), (201911, 'AVL_TRAIN'), (216131, 'AVL_EVAL'), (251549, 'AVL_TRAIN'), (254018, 'AVL_EVAL'), (267318, 'AVL_TRAIN'), (267542, 'AVL_EVAL'), (272642, 'AVL_TRAIN'), (274378, 'AVL_EVAL'), (278228, 'AVL_TRAIN'), (302582, 'AVL_EVAL'), (335211, 'AVL_TRAIN'), (336985, 'AVL_EVAL'), (372940, 'AVL_TRAIN'), (391688, 'AVL_EVAL'), (462304, 'AVL_TRAIN'), (474928, 'AVL_EVAL'), (524661, 'UN_AVL')]", diff --git a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_16.json b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_16.json index 5de56e87e..e8b0088ba 100644 --- a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_16.json +++ b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_16.json @@ -81,7 +81,7 @@ "manual_seed": 42, "client_num_in_total": 0, "warmup_ratio": 1, - "training_delay_enabled": "True", + "training_delay_enabled": "False", "training_delay_factor": "10", "training_delay_s": "14.0", "avl_events_mobiperf_3st_50": "[(0, 'AVL_TRAIN'), (300, 'UN_AVL'), (281291, 'AVL_TRAIN'), (281431, 'UN_AVL'), (281465, 'AVL_TRAIN'), (281754, 'UN_AVL'), (289955, 'AVL_TRAIN'), (302790, 'AVL_EVAL'), (344351, 'UN_AVL'), (363641, 'AVL_TRAIN'), (385200, 'AVL_EVAL'), (436924, 'AVL_TRAIN'), (440237, 'AVL_EVAL'), (447244, 'UN_AVL')]", diff --git a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_17.json b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_17.json index 93e605df0..12a358571 100644 --- a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_17.json +++ b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_17.json @@ -81,7 +81,7 @@ "manual_seed": 42, "client_num_in_total": 0, "warmup_ratio": 1, - "training_delay_enabled": "True", + "training_delay_enabled": "False", "training_delay_factor": "10", "training_delay_s": "9.0", "avl_events_mobiperf_3st_50": "[(0, 'AVL_TRAIN'), (300, 'UN_AVL'), (6576, 'AVL_TRAIN'), (9540, 'UN_AVL'), (9541, 'AVL_TRAIN'), (12486, 'UN_AVL'), (12487, 'AVL_TRAIN'), (13229, 'UN_AVL'), (13231, 'AVL_TRAIN'), (13233, 'UN_AVL'), (13234, 'AVL_TRAIN'), (13236, 'UN_AVL'), (13237, 'AVL_TRAIN'), (13239, 'UN_AVL'), (14466, 'AVL_TRAIN'), (14688, 'UN_AVL'), (14690, 'AVL_TRAIN'), (15972, 'UN_AVL'), (15972, 'AVL_TRAIN'), (15976, 'UN_AVL'), (15977, 'AVL_TRAIN'), (15979, 'UN_AVL'), (15979, 'AVL_TRAIN'), (15981, 'UN_AVL'), (15985, 'AVL_TRAIN'), (16078, 'UN_AVL'), (16079, 'AVL_TRAIN'), (16081, 'UN_AVL'), (16082, 'AVL_TRAIN'), (16084, 'UN_AVL'), (16086, 'AVL_TRAIN'), (16088, 'UN_AVL'), (16089, 'AVL_TRAIN'), (16978, 'UN_AVL'), (20578, 'AVL_TRAIN'), (21191, 'UN_AVL'), (21192, 'AVL_TRAIN'), (21194, 'UN_AVL'), (21195, 'AVL_TRAIN'), (23527, 'UN_AVL'), (23528, 'AVL_TRAIN'), (25952, 'UN_AVL'), (25953, 'AVL_TRAIN'), (26047, 'UN_AVL'), (26047, 'AVL_TRAIN'), (26048, 'UN_AVL'), (26049, 'AVL_TRAIN'), (26051, 'UN_AVL'), (26053, 'AVL_TRAIN'), (26736, 'UN_AVL'), (26738, 'AVL_TRAIN'), (26761, 'UN_AVL'), (26761, 'AVL_TRAIN'), (26763, 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"manual_seed": 42, "client_num_in_total": 0, "warmup_ratio": 1, - "training_delay_enabled": "True", + "training_delay_enabled": "False", "training_delay_factor": "10", "training_delay_s": "2.0", "avl_events_mobiperf_3st_50": "[(0, 'AVL_TRAIN'), (300, 'UN_AVL'), (26654, 'AVL_TRAIN'), (46189, 'AVL_EVAL'), (99957, 'UN_AVL'), (136656, 'AVL_EVAL'), (151128, 'UN_AVL'), (196350, 'AVL_TRAIN'), (202296, 'UN_AVL'), (229684, 'AVL_TRAIN'), (232670, 'AVL_EVAL'), (237324, 'UN_AVL'), (315306, 'AVL_TRAIN'), (320133, 'AVL_EVAL'), (321773, 'UN_AVL'), (345671, 'AVL_TRAIN'), (357090, 'AVL_EVAL'), (414921, 'UN_AVL'), (478397, 'AVL_TRAIN'), (482409, 'AVL_EVAL'), (488483, 'AVL_TRAIN'), (490407, 'AVL_EVAL'), (508615, 'UN_AVL')]", diff --git a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_19.json b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_19.json index 0b496054d..5be1a7621 100644 --- a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_19.json +++ b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_19.json @@ -81,7 +81,7 @@ "manual_seed": 42, "client_num_in_total": 0, "warmup_ratio": 1, - "training_delay_enabled": "True", + "training_delay_enabled": "False", "training_delay_factor": "10", "training_delay_s": "47.0", "avl_events_mobiperf_3st_50": "[(0, 'AVL_TRAIN'), (300, 'UN_AVL'), (9203, 'AVL_EVAL'), (72571, 'UN_AVL'), (72571, 'AVL_TRAIN'), (75048, 'UN_AVL'), (84940, 'AVL_TRAIN'), (85051, 'UN_AVL'), (85065, 'AVL_TRAIN'), (87122, 'UN_AVL'), (87660, 'AVL_TRAIN'), (88289, 'UN_AVL'), (94131, 'AVL_TRAIN'), (94838, 'UN_AVL')]", diff --git a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_2.json b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_2.json index 9be69cea0..7c29ef4a0 100644 --- a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_2.json +++ b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_2.json @@ -81,7 +81,7 @@ "manual_seed": 42, "client_num_in_total": 0, "warmup_ratio": 1, - "training_delay_enabled": "True", + "training_delay_enabled": "False", "training_delay_factor": "10", "training_delay_s": "13.0", "avl_events_mobiperf_3st_50": "[(0, 'AVL_TRAIN'), (300, 'UN_AVL'), (391492, 'AVL_TRAIN'), (392455, 'UN_AVL'), (392456, 'AVL_TRAIN'), (397781, 'UN_AVL'), (397813, 'AVL_TRAIN'), (403293, 'UN_AVL'), (406742, 'AVL_TRAIN'), (407792, 'UN_AVL'), (408447, 'AVL_TRAIN'), (408449, 'UN_AVL'), (408449, 'AVL_TRAIN'), (408451, 'UN_AVL'), (408459, 'AVL_TRAIN'), (409921, 'UN_AVL'), (409923, 'AVL_TRAIN'), (409935, 'UN_AVL'), (413045, 'AVL_TRAIN'), (413146, 'UN_AVL'), (413147, 'AVL_TRAIN'), (413162, 'UN_AVL'), (413239, 'AVL_TRAIN'), (413248, 'UN_AVL'), (413287, 'AVL_TRAIN'), (413316, 'UN_AVL'), (413332, 'AVL_TRAIN'), (413376, 'UN_AVL'), (413385, 'AVL_TRAIN'), (413419, 'UN_AVL'), (413434, 'AVL_TRAIN'), (413488, 'UN_AVL'), (413512, 'AVL_TRAIN'), (414931, 'UN_AVL'), (414942, 'AVL_TRAIN'), (415602, 'UN_AVL'), (415614, 'AVL_TRAIN'), (415705, 'UN_AVL'), (415728, 'AVL_TRAIN'), (416902, 'UN_AVL'), (416915, 'AVL_TRAIN'), (419524, 'UN_AVL'), (419526, 'AVL_TRAIN'), (419575, 'UN_AVL'), (419575, 'AVL_TRAIN'), (420540, 'UN_AVL'), (420848, 'AVL_TRAIN'), (420987, 'UN_AVL'), (420989, 'AVL_TRAIN'), (421302, 'UN_AVL'), (421387, 'AVL_TRAIN'), (422656, 'UN_AVL'), (422658, 'AVL_TRAIN'), (422659, 'UN_AVL'), (422660, 'AVL_TRAIN'), (422727, 'UN_AVL'), (435710, 'AVL_EVAL'), (435710, 'AVL_TRAIN'), (438969, 'AVL_EVAL'), (454335, 'UN_AVL'), (462425, 'AVL_TRAIN'), (462830, 'UN_AVL'), (462830, 'AVL_TRAIN'), (467985, 'UN_AVL'), (468378, 'AVL_TRAIN'), (468426, 'UN_AVL'), (470475, 'AVL_TRAIN'), (471678, 'UN_AVL'), (471715, 'AVL_TRAIN'), (477047, 'UN_AVL'), (477048, 'AVL_TRAIN')]", diff --git a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_20.json b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_20.json index 9cfc422f9..32913fa89 100644 --- a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_20.json +++ b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_20.json @@ -81,7 +81,7 @@ "manual_seed": 42, "client_num_in_total": 0, "warmup_ratio": 1, - "training_delay_enabled": "True", + "training_delay_enabled": "False", "training_delay_factor": "10", "training_delay_s": "4.0", "avl_events_mobiperf_3st_50": "[(0, 'AVL_TRAIN'), (300, 'UN_AVL'), (313212, 'AVL_EVAL'), (334653, 'UN_AVL'), (356385, 'AVL_TRAIN'), (356387, 'UN_AVL'), (356412, 'AVL_TRAIN'), (356413, 'UN_AVL'), (356416, 'AVL_TRAIN'), (356419, 'UN_AVL'), (356420, 'AVL_TRAIN'), (356428, 'UN_AVL'), (356429, 'AVL_TRAIN'), (356440, 'UN_AVL'), (356441, 'AVL_TRAIN'), (356444, 'UN_AVL'), (356444, 'AVL_TRAIN'), (356450, 'UN_AVL'), (356451, 'AVL_TRAIN'), (356454, 'UN_AVL'), (356459, 'AVL_TRAIN'), (356466, 'UN_AVL'), (356466, 'AVL_TRAIN'), (356478, 'UN_AVL'), (356479, 'AVL_TRAIN'), (356490, 'UN_AVL'), (356491, 'AVL_TRAIN'), (356495, 'UN_AVL'), (356502, 'AVL_TRAIN'), (356503, 'UN_AVL'), (356522, 'AVL_TRAIN'), (356523, 'UN_AVL'), (356524, 'AVL_TRAIN'), (356527, 'UN_AVL'), (356561, 'AVL_TRAIN'), (377020, 'AVL_EVAL'), (379578, 'AVL_TRAIN'), (379582, 'AVL_EVAL'), (379583, 'AVL_TRAIN'), (379585, 'AVL_EVAL'), (379586, 'AVL_TRAIN'), (379590, 'AVL_EVAL'), (379592, 'AVL_TRAIN'), (381039, 'UN_AVL')]", diff --git a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_21.json b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_21.json index 018706e78..6a1497a60 100644 --- a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_21.json +++ b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_21.json @@ -81,7 +81,7 @@ "manual_seed": 42, "client_num_in_total": 0, "warmup_ratio": 1, - "training_delay_enabled": "True", + "training_delay_enabled": "False", "training_delay_factor": "10", "training_delay_s": "11.0", "avl_events_mobiperf_3st_50": "[(0, 'AVL_TRAIN'), (300, 'UN_AVL'), (828, 'AVL_TRAIN'), (3072, 'UN_AVL'), (12583, 'AVL_TRAIN'), (12895, 'UN_AVL'), (12897, 'AVL_TRAIN'), (12917, 'UN_AVL'), (12943, 'AVL_TRAIN'), (13050, 'UN_AVL'), (13056, 'AVL_TRAIN'), (13057, 'UN_AVL'), (13080, 'AVL_TRAIN'), (13265, 'UN_AVL'), (13385, 'AVL_TRAIN'), (13390, 'UN_AVL'), (69177, 'AVL_EVAL'), (115212, 'UN_AVL'), (141110, 'AVL_EVAL'), (141110, 'AVL_TRAIN'), (144187, 'AVL_EVAL'), (192607, 'UN_AVL'), (241710, 'AVL_TRAIN'), (242453, 'UN_AVL'), (257108, 'AVL_TRAIN'), (262679, 'AVL_EVAL'), (292973, 'UN_AVL'), (377424, 'AVL_EVAL'), (399833, 'UN_AVL')]", diff --git a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_22.json b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_22.json index c6ade8224..a6125e345 100644 --- a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_22.json +++ b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_22.json @@ -81,7 +81,7 @@ "manual_seed": 42, "client_num_in_total": 0, "warmup_ratio": 1, - "training_delay_enabled": "True", + "training_delay_enabled": "False", "training_delay_factor": "10", "training_delay_s": "21.0", "avl_events_mobiperf_3st_50": "[(0, 'AVL_TRAIN'), (300, 'UN_AVL'), (2866, 'AVL_TRAIN'), (5183, 'AVL_EVAL'), (64497, 'UN_AVL'), (73502, 'AVL_EVAL'), (79246, 'UN_AVL'), (84598, 'AVL_TRAIN'), (137675, 'AVL_EVAL'), (155633, 'AVL_TRAIN'), (155946, 'AVL_EVAL'), (155946, 'AVL_TRAIN'), (155956, 'AVL_EVAL'), (171708, 'UN_AVL'), (188215, 'AVL_EVAL'), (233701, 'AVL_TRAIN'), (236332, 'AVL_EVAL'), (254099, 'UN_AVL'), (331378, 'AVL_EVAL'), (348460, 'UN_AVL'), (348488, 'AVL_TRAIN'), (352131, 'AVL_EVAL'), (413676, 'UN_AVL'), (443938, 'AVL_EVAL'), (459441, 'UN_AVL')]", diff --git a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_23.json b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_23.json index 9b1b241d0..d6c149000 100644 --- a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_23.json +++ b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_23.json @@ -81,7 +81,7 @@ "manual_seed": 42, "client_num_in_total": 0, "warmup_ratio": 1, - "training_delay_enabled": "True", + "training_delay_enabled": "False", "training_delay_factor": "10", "training_delay_s": "12.0", "avl_events_mobiperf_3st_50": "[(0, 'AVL_TRAIN'), (300, 'AVL_EVAL'), (44154, 'UN_AVL'), (80604, 'AVL_TRAIN'), (86390, 'AVL_EVAL'), (138512, 'UN_AVL'), (153815, 'AVL_TRAIN'), (159369, 'AVL_EVAL'), (163051, 'AVL_TRAIN'), (163162, 'AVL_EVAL'), (185967, 'UN_AVL'), (232745, 'AVL_TRAIN'), (241563, 'AVL_EVAL'), (266498, 'UN_AVL')]", diff --git a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_24.json b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_24.json index c927a6612..d0d3c9b0e 100644 --- a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_24.json +++ b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_24.json @@ -81,7 +81,7 @@ "manual_seed": 42, "client_num_in_total": 0, "warmup_ratio": 1, - "training_delay_enabled": "True", + "training_delay_enabled": "False", "training_delay_factor": "10", "training_delay_s": "15.0", "avl_events_mobiperf_3st_50": "[(0, 'AVL_TRAIN'), (300, 'UN_AVL'), (1435, 'AVL_EVAL'), (39044, 'AVL_TRAIN'), (42386, 'AVL_EVAL'), (70496, 'UN_AVL'), (94915, 'AVL_TRAIN'), (95587, 'UN_AVL'), (97037, 'AVL_TRAIN'), (97213, 'UN_AVL'), (99256, 'AVL_TRAIN'), (100235, 'UN_AVL'), (100236, 'AVL_TRAIN'), (100256, 'UN_AVL'), (100256, 'AVL_TRAIN'), (100266, 'UN_AVL'), (126438, 'AVL_TRAIN'), (127763, 'UN_AVL'), (127764, 'AVL_TRAIN'), (129273, 'UN_AVL'), (131869, 'AVL_TRAIN'), (135147, 'AVL_EVAL'), (148611, 'AVL_TRAIN'), (153451, 'AVL_EVAL'), (164152, 'UN_AVL'), (175954, 'AVL_TRAIN'), (176589, 'UN_AVL'), (219108, 'AVL_TRAIN'), (224999, 'AVL_EVAL'), (228056, 'UN_AVL'), (236840, 'AVL_TRAIN'), (237398, 'UN_AVL'), (244809, 'AVL_TRAIN'), (247758, 'UN_AVL'), (252048, 'AVL_TRAIN'), (256597, 'UN_AVL'), (299838, 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a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_25.json b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_25.json index 4011d2410..42a29d5ec 100644 --- a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_25.json +++ b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_25.json @@ -81,7 +81,7 @@ "manual_seed": 42, "client_num_in_total": 0, "warmup_ratio": 1, - "training_delay_enabled": "True", + "training_delay_enabled": "False", "training_delay_factor": "10", "training_delay_s": "2.0", "avl_events_mobiperf_3st_50": "[(0, 'AVL_TRAIN'), (300, 'UN_AVL'), (186155, 'AVL_TRAIN'), (186873, 'UN_AVL'), (186876, 'AVL_TRAIN'), (187668, 'UN_AVL'), (188128, 'AVL_TRAIN'), (189551, 'UN_AVL'), (190013, 'AVL_TRAIN'), (190611, 'UN_AVL'), (226790, 'AVL_EVAL'), (264325, 'UN_AVL'), (314991, 'AVL_TRAIN'), (316045, 'UN_AVL'), (322000, 'AVL_TRAIN'), (322996, 'UN_AVL'), (322998, 'AVL_TRAIN'), (323006, 'UN_AVL'), (333884, 'AVL_TRAIN'), (334665, 'UN_AVL'), (355081, 'AVL_TRAIN'), (355087, 'UN_AVL'), (355087, 'AVL_TRAIN'), (355092, 'UN_AVL'), (359729, 'AVL_EVAL'), (426325, 'UN_AVL')]", diff --git a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_26.json b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_26.json index 233fdcecb..18a5b148b 100644 --- a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_26.json +++ b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_26.json @@ -81,7 +81,7 @@ "manual_seed": 42, "client_num_in_total": 0, "warmup_ratio": 1, - "training_delay_enabled": "True", + "training_delay_enabled": "False", "training_delay_factor": "10", "training_delay_s": "13.0", "avl_events_mobiperf_3st_50": "[(0, 'AVL_TRAIN'), (300, 'UN_AVL'), (8428, 'AVL_TRAIN'), (28464, 'AVL_EVAL'), (47374, 'UN_AVL'), (78938, 'AVL_TRAIN'), (98544, 'AVL_EVAL'), (116497, 'UN_AVL'), (126713, 'AVL_TRAIN'), (134789, 'AVL_EVAL'), (170734, 'UN_AVL'), (192337, 'AVL_TRAIN'), (203506, 'AVL_EVAL'), (237632, 'UN_AVL'), (244107, 'AVL_TRAIN'), (246582, 'UN_AVL'), (249472, 'AVL_TRAIN'), (259857, 'AVL_EVAL'), (312106, 'UN_AVL'), (312106, 'AVL_TRAIN'), (328650, 'UN_AVL')]", diff --git a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_27.json b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_27.json index 743297e48..7245b74dc 100644 --- a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_27.json +++ b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_27.json @@ -81,7 +81,7 @@ "manual_seed": 42, "client_num_in_total": 0, "warmup_ratio": 1, - "training_delay_enabled": "True", + "training_delay_enabled": "False", "training_delay_factor": "10", "training_delay_s": "11.0", "avl_events_mobiperf_3st_50": "[(0, 'AVL_TRAIN'), (300, 'AVL_TRAIN'), (12984, 'UN_AVL'), (13124, 'AVL_TRAIN'), (16085, 'UN_AVL'), (16085, 'AVL_TRAIN'), (16102, 'UN_AVL'), (16689, 'AVL_TRAIN'), (52609, 'AVL_EVAL'), 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'AVL_EVAL'), (17912, 'UN_AVL'), (49715, 'AVL_TRAIN'), (59780, 'AVL_EVAL'), (62711, 'UN_AVL'), (73902, 'AVL_TRAIN'), (88800, 'AVL_EVAL'), (146634, 'UN_AVL'), (274738, 'AVL_TRAIN'), (313232, 'AVL_EVAL'), (360068, 'UN_AVL')]", diff --git a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_29.json b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_29.json index ff9a2553d..230852a26 100644 --- a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_29.json +++ b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_29.json @@ -81,7 +81,7 @@ "manual_seed": 42, "client_num_in_total": 0, "warmup_ratio": 1, - "training_delay_enabled": "True", + "training_delay_enabled": "False", "training_delay_factor": "10", "training_delay_s": "15.0", "avl_events_mobiperf_3st_50": "[(0, 'AVL_TRAIN'), (300, 'AVL_EVAL'), (13988, 'AVL_TRAIN'), (16565, 'AVL_EVAL'), (16566, 'AVL_TRAIN'), (16568, 'AVL_EVAL'), (16573, 'AVL_TRAIN'), (16574, 'AVL_EVAL'), (16575, 'AVL_TRAIN'), (17226, 'AVL_EVAL'), (17479, 'AVL_TRAIN'), (25539, 'AVL_EVAL'), (45036, 'AVL_TRAIN'), (51708, 'AVL_EVAL'), (91993, 'UN_AVL'), (94791, 'AVL_TRAIN'), (96644, 'UN_AVL'), (96797, 'AVL_TRAIN'), (96803, 'UN_AVL'), (96834, 'AVL_TRAIN'), (96836, 'UN_AVL'), (96841, 'AVL_TRAIN'), (96844, 'UN_AVL'), (96846, 'AVL_TRAIN'), (96847, 'UN_AVL'), (97137, 'AVL_TRAIN'), (106362, 'AVL_EVAL'), (131185, 'AVL_TRAIN'), (133446, 'AVL_EVAL'), (133677, 'AVL_TRAIN'), (133680, 'AVL_EVAL'), (133682, 'AVL_TRAIN'), (133705, 'AVL_EVAL'), (133706, 'AVL_TRAIN'), (133708, 'AVL_EVAL'), (133709, 'AVL_TRAIN'), (133712, 'AVL_EVAL'), (133716, 'AVL_TRAIN'), (134781, 'AVL_EVAL'), (141673, 'AVL_TRAIN'), (142359, 'AVL_EVAL'), (162181, 'AVL_TRAIN'), (163739, 'AVL_EVAL'), (178541, 'AVL_TRAIN'), (178547, 'AVL_EVAL'), (179975, 'AVL_TRAIN'), (179976, 'AVL_EVAL'), (186814, 'AVL_TRAIN'), (186822, 'AVL_EVAL'), (187001, 'AVL_TRAIN'), (187005, 'AVL_EVAL'), (187006, 'AVL_TRAIN'), (187479, 'AVL_EVAL'), (187480, 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'AVL_TRAIN'), (449990, 'AVL_EVAL'), (449991, 'AVL_TRAIN'), (450003, 'AVL_EVAL'), (450003, 'AVL_TRAIN'), (450033, 'AVL_EVAL'), (450034, 'AVL_TRAIN'), (450161, 'AVL_EVAL'), (450162, 'AVL_TRAIN'), (450232, 'AVL_EVAL'), (450232, 'AVL_TRAIN'), (450459, 'AVL_EVAL'), (450460, 'AVL_TRAIN'), (451183, 'AVL_EVAL'), (451440, 'AVL_TRAIN'), (451603, 'AVL_EVAL'), (451604, 'AVL_TRAIN'), (452272, 'AVL_EVAL'), (478858, 'UN_AVL')]", diff --git a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_3.json b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_3.json index a587ddd7d..540ad7533 100644 --- a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_3.json +++ b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_3.json @@ -81,7 +81,7 @@ "manual_seed": 42, "client_num_in_total": 0, "warmup_ratio": 1, - "training_delay_enabled": "True", + "training_delay_enabled": "False", "training_delay_factor": "10", "training_delay_s": "7.0", "avl_events_mobiperf_3st_50": "[(0, 'AVL_TRAIN'), (300, 'AVL_EVAL'), (14439, 'AVL_TRAIN'), (17399, 'AVL_EVAL'), (17483, 'AVL_TRAIN'), (21062, 'AVL_EVAL'), (31364, 'AVL_TRAIN'), (47178, 'AVL_EVAL'), (61443, 'UN_AVL'), (61798, 'AVL_TRAIN'), (64816, 'AVL_EVAL'), (66568, 'AVL_TRAIN'), (70684, 'AVL_EVAL'), (80719, 'UN_AVL'), (80973, 'AVL_TRAIN'), (87020, 'AVL_EVAL'), (105873, 'UN_AVL'), (106148, 'AVL_TRAIN'), (107511, 'AVL_EVAL'), (107639, 'AVL_TRAIN'), (132526, 'AVL_EVAL'), (147091, 'AVL_TRAIN'), (150724, 'AVL_EVAL'), (165013, 'UN_AVL'), (165240, 'AVL_TRAIN'), (169391, 'AVL_EVAL'), (181036, 'UN_AVL'), (184714, 'AVL_TRAIN'), (192079, 'AVL_EVAL'), (208176, 'UN_AVL'), (208176, 'AVL_TRAIN'), (210806, 'UN_AVL'), (211538, 'AVL_TRAIN'), (258787, 'AVL_EVAL'), (264026, 'AVL_TRAIN'), (268127, 'AVL_EVAL'), (280246, 'AVL_TRAIN'), (281514, 'AVL_EVAL'), (289186, 'UN_AVL'), (289186, 'AVL_TRAIN'), (295332, 'AVL_EVAL'), (322605, 'UN_AVL'), (338307, 'AVL_TRAIN'), (342849, 'AVL_EVAL'), (357291, 'AVL_TRAIN'), (359952, 'AVL_EVAL'), (360162, 'AVL_TRAIN'), (362167, 'AVL_EVAL'), (373404, 'UN_AVL'), (373404, 'AVL_TRAIN'), (378438, 'AVL_EVAL'), (411783, 'UN_AVL'), (411783, 'AVL_TRAIN'), (415919, 'AVL_EVAL'), (444735, 'UN_AVL'), (444735, 'AVL_TRAIN')]", diff --git a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_30.json b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_30.json index d7427fcaf..67f68f0bf 100644 --- a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_30.json +++ b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_30.json @@ -81,7 +81,7 @@ "manual_seed": 42, "client_num_in_total": 0, "warmup_ratio": 1, - "training_delay_enabled": "True", + "training_delay_enabled": "False", "training_delay_factor": "10", "training_delay_s": "12.0", "avl_events_mobiperf_3st_50": "[(0, 'AVL_TRAIN'), (300, 'UN_AVL'), (2320, 'AVL_EVAL'), (18879, 'UN_AVL'), (18889, 'AVL_TRAIN'), (26154, 'AVL_EVAL'), (44257, 'AVL_TRAIN'), (45032, 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a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_31.json b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_31.json index 1011e9e1a..e176e8a29 100644 --- a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_31.json +++ b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_31.json @@ -81,7 +81,7 @@ "manual_seed": 42, "client_num_in_total": 0, "warmup_ratio": 1, - "training_delay_enabled": "True", + "training_delay_enabled": "False", "training_delay_factor": "10", "training_delay_s": "7.0", "avl_events_mobiperf_3st_50": "[(0, 'AVL_TRAIN'), (211, 'AVL_EVAL'), (212, 'AVL_TRAIN'), (310, 'AVL_EVAL'), (311, 'AVL_TRAIN'), (406, 'AVL_EVAL'), (406, 'AVL_TRAIN'), (458, 'AVL_EVAL'), (459, 'AVL_TRAIN'), (3037, 'AVL_EVAL'), (52730, 'AVL_TRAIN'), (53037, 'AVL_EVAL'), (53038, 'AVL_TRAIN'), (53071, 'AVL_EVAL'), (53071, 'AVL_TRAIN'), (53342, 'AVL_EVAL'), (53343, 'AVL_TRAIN'), (53473, 'AVL_EVAL'), (53473, 'AVL_TRAIN'), (53550, 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'AVL_TRAIN'), (256904, 'AVL_EVAL'), (256905, 'AVL_TRAIN'), (260803, 'AVL_EVAL'), (286732, 'UN_AVL')]", diff --git a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_32.json b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_32.json index 7970a1e16..4e98270a2 100644 --- a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_32.json +++ b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_32.json @@ -81,7 +81,7 @@ "manual_seed": 42, "client_num_in_total": 0, "warmup_ratio": 1, - "training_delay_enabled": "True", + "training_delay_enabled": "False", "training_delay_factor": "10", "training_delay_s": "6.0", "avl_events_mobiperf_3st_50": "[(0, 'AVL_TRAIN'), (300, 'AVL_TRAIN'), (3583, 'UN_AVL'), (6643, 'AVL_TRAIN'), (7950, 'UN_AVL'), (7951, 'AVL_TRAIN'), (8791, 'UN_AVL'), (8792, 'AVL_TRAIN'), (15006, 'UN_AVL'), (59961, 'AVL_TRAIN'), (70959, 'UN_AVL'), (74209, 'AVL_TRAIN'), (78627, 'UN_AVL'), (90759, 'AVL_TRAIN'), (104413, 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a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_33.json +++ b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_33.json @@ -81,7 +81,7 @@ "manual_seed": 42, "client_num_in_total": 0, "warmup_ratio": 1, - "training_delay_enabled": "True", + "training_delay_enabled": "False", "training_delay_factor": "10", "training_delay_s": "21.0", "avl_events_mobiperf_3st_50": "[(0, 'AVL_TRAIN'), (300, 'AVL_EVAL'), (14795, 'AVL_TRAIN'), (42901, 'AVL_EVAL'), (67749, 'AVL_TRAIN'), (69391, 'AVL_EVAL'), (69409, 'AVL_TRAIN'), (85971, 'AVL_EVAL'), (102045, 'UN_AVL'), (132769, 'AVL_TRAIN'), (136047, 'AVL_EVAL'), (137979, 'AVL_TRAIN'), (152741, 'AVL_EVAL'), (236326, 'UN_AVL'), (259294, 'AVL_TRAIN'), (263118, 'UN_AVL'), (263147, 'AVL_TRAIN'), (264034, 'UN_AVL'), (268486, 'AVL_TRAIN'), (273571, 'UN_AVL'), (317634, 'AVL_EVAL'), (342373, 'UN_AVL'), (390709, 'AVL_TRAIN'), (397097, 'AVL_EVAL'), (430805, 'UN_AVL'), (439164, 'AVL_TRAIN'), (439555, 'UN_AVL'), (439556, 'AVL_TRAIN'), (439558, 'UN_AVL'), (439560, 'AVL_TRAIN'), (439561, 'UN_AVL'), (439564, 'AVL_TRAIN'), (439666, 'UN_AVL'), (439783, 'AVL_TRAIN'), (439800, 'UN_AVL'), (439806, 'AVL_TRAIN'), (447073, 'AVL_EVAL'), (447075, 'AVL_TRAIN'), (447611, 'AVL_EVAL'), (474997, 'UN_AVL'), (477430, 'AVL_TRAIN'), (514597, 'AVL_EVAL'), (525658, 'UN_AVL')]", diff --git a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_34.json b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_34.json index ce02a7bb0..e99571d14 100644 --- a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_34.json +++ b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_34.json @@ -81,7 +81,7 @@ "manual_seed": 42, "client_num_in_total": 0, "warmup_ratio": 1, - "training_delay_enabled": "True", + "training_delay_enabled": "False", "training_delay_factor": "10", "training_delay_s": "8.0", "avl_events_mobiperf_3st_50": "[(0, 'AVL_TRAIN'), (300, 'UN_AVL'), (70271, 'AVL_TRAIN'), (70272, 'UN_AVL'), (70272, 'AVL_TRAIN'), (104036, 'UN_AVL'), (134118, 'AVL_EVAL'), (135705, 'UN_AVL'), (140517, 'AVL_TRAIN'), (141025, 'UN_AVL'), (141026, 'AVL_TRAIN'), (147453, 'UN_AVL'), (147454, 'AVL_TRAIN'), (147481, 'UN_AVL'), (147489, 'AVL_TRAIN'), (150114, 'UN_AVL'), (150783, 'AVL_TRAIN'), (151246, 'UN_AVL'), (151247, 'AVL_TRAIN'), (184459, 'UN_AVL'), (189081, 'AVL_TRAIN'), (202754, 'AVL_EVAL'), (202755, 'AVL_TRAIN'), (220036, 'AVL_EVAL'), (220036, 'AVL_TRAIN'), (223485, 'AVL_EVAL'), (238504, 'UN_AVL'), (259208, 'AVL_TRAIN')]", diff --git a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_35.json b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_35.json index 0a2ddc9f4..ccd6800a7 100644 --- a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_35.json +++ b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_35.json @@ -81,7 +81,7 @@ "manual_seed": 42, "client_num_in_total": 0, "warmup_ratio": 1, - "training_delay_enabled": "True", + "training_delay_enabled": "False", "training_delay_factor": "10", "training_delay_s": "2.0", "avl_events_mobiperf_3st_50": "[(0, 'AVL_TRAIN'), (300, 'UN_AVL'), (157092, 'AVL_TRAIN'), (157151, 'UN_AVL'), (159484, 'AVL_TRAIN'), (159489, 'UN_AVL'), (159494, 'AVL_TRAIN'), (162600, 'UN_AVL'), (167881, 'AVL_TRAIN'), (173569, 'AVL_EVAL'), (177173, 'UN_AVL'), (184282, 'AVL_TRAIN'), (188238, 'AVL_EVAL'), (189341, 'UN_AVL'), (219952, 'AVL_TRAIN'), (226242, 'AVL_EVAL'), (231559, 'UN_AVL'), (231559, 'AVL_TRAIN'), (237812, 'AVL_EVAL'), (271309, 'UN_AVL'), (325048, 'AVL_EVAL'), (326462, 'AVL_TRAIN'), (329766, 'AVL_EVAL'), (339363, 'UN_AVL'), (342100, 'AVL_TRAIN'), (344351, 'UN_AVL'), (348556, 'AVL_TRAIN'), (350795, 'UN_AVL'), (353753, 'AVL_TRAIN'), (360328, 'AVL_EVAL'), (362542, 'AVL_TRAIN'), (363167, 'AVL_EVAL'), (370474, 'UN_AVL'), (370484, 'AVL_TRAIN'), (374635, 'AVL_EVAL'), (377108, 'UN_AVL'), (405033, 'AVL_TRAIN'), (409621, 'UN_AVL')]", diff --git a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_36.json b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_36.json index aeb079a3a..516ca279c 100644 --- a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_36.json +++ b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_36.json @@ -81,7 +81,7 @@ "manual_seed": 42, "client_num_in_total": 0, "warmup_ratio": 1, - "training_delay_enabled": "True", + "training_delay_enabled": "False", "training_delay_factor": "10", "training_delay_s": "9.0", "avl_events_mobiperf_3st_50": "[(0, 'AVL_TRAIN'), (300, 'UN_AVL'), (181690, 'AVL_EVAL'), (189338, 'UN_AVL'), (220622, 'AVL_TRAIN'), (220655, 'UN_AVL'), (220656, 'AVL_TRAIN'), (227231, 'AVL_EVAL'), (227241, 'AVL_TRAIN'), (247979, 'AVL_EVAL'), (249947, 'AVL_TRAIN'), (253244, 'AVL_EVAL'), (259489, 'UN_AVL'), (266932, 'AVL_TRAIN'), (278193, 'AVL_EVAL'), (310219, 'UN_AVL'), (339906, 'AVL_EVAL'), (347911, 'UN_AVL'), (362595, 'AVL_TRAIN'), (390071, 'AVL_EVAL'), (430436, 'UN_AVL'), (435756, 'AVL_TRAIN'), (437100, 'UN_AVL'), (437110, 'AVL_TRAIN'), (440847, 'UN_AVL')]", diff --git a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_37.json b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_37.json index 988a6fab9..87928e741 100644 --- a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_37.json +++ b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_37.json @@ -81,7 +81,7 @@ "manual_seed": 42, "client_num_in_total": 0, "warmup_ratio": 1, - "training_delay_enabled": "True", + "training_delay_enabled": "False", "training_delay_factor": "10", "training_delay_s": "8.0", "avl_events_mobiperf_3st_50": "[(0, 'AVL_TRAIN'), (300, 'AVL_TRAIN'), (3049, 'AVL_EVAL'), (38657, 'AVL_TRAIN'), (42930, 'AVL_EVAL'), (83335, 'AVL_TRAIN'), (89295, 'AVL_EVAL'), (132341, 'UN_AVL'), (140030, 'AVL_TRAIN'), (143759, 'UN_AVL'), (163839, 'AVL_TRAIN'), (171099, 'AVL_EVAL'), (172116, 'AVL_TRAIN'), (182003, 'AVL_EVAL'), (205065, 'UN_AVL'), (210342, 'AVL_TRAIN'), (255530, 'UN_AVL'), (255543, 'AVL_TRAIN'), (259029, 'UN_AVL'), (259047, 'AVL_TRAIN'), (267033, 'AVL_EVAL'), (303621, 'AVL_TRAIN'), (309577, 'AVL_EVAL'), (314937, 'UN_AVL')]", diff --git a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_38.json b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_38.json index 1633cdaa8..b4f9c0106 100644 --- a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_38.json +++ b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_38.json @@ -81,7 +81,7 @@ "manual_seed": 42, "client_num_in_total": 0, "warmup_ratio": 1, - "training_delay_enabled": "True", + "training_delay_enabled": "False", "training_delay_factor": "10", "training_delay_s": "18.0", "avl_events_mobiperf_3st_50": "[(0, 'AVL_TRAIN'), (300, 'UN_AVL'), (11047, 'AVL_TRAIN'), (11642, 'UN_AVL'), (11747, 'AVL_TRAIN'), (13275, 'UN_AVL'), (25409, 'AVL_EVAL'), (47845, 'UN_AVL'), (71020, 'AVL_TRAIN'), (73744, 'UN_AVL'), (73767, 'AVL_TRAIN'), (74873, 'UN_AVL'), (79371, 'AVL_TRAIN'), (80765, 'UN_AVL'), (83531, 'AVL_TRAIN'), (84833, 'UN_AVL'), (94217, 'AVL_TRAIN'), (97395, 'AVL_EVAL'), (98723, 'UN_AVL'), (112834, 'AVL_TRAIN'), (112871, 'UN_AVL'), (112908, 'AVL_TRAIN'), (112965, 'UN_AVL'), (113073, 'AVL_TRAIN'), (115426, 'UN_AVL'), (117593, 'AVL_TRAIN'), (118930, 'UN_AVL'), (118950, 'AVL_TRAIN'), (137864, 'AVL_EVAL'), (159662, 'UN_AVL'), (167171, 'AVL_TRAIN'), (171052, 'AVL_EVAL'), (171058, 'AVL_TRAIN'), (171486, 'AVL_EVAL'), (183398, 'UN_AVL'), (190666, 'AVL_TRAIN'), (194339, 'AVL_EVAL'), (201702, 'UN_AVL'), (235372, 'AVL_TRAIN'), (237550, 'UN_AVL'), (237559, 'AVL_TRAIN'), (237765, 'UN_AVL'), (247173, 'AVL_TRAIN'), (247543, 'UN_AVL'), (248832, 'AVL_TRAIN'), (249602, 'UN_AVL'), (252388, 'AVL_TRAIN'), (253079, 'UN_AVL'), (257462, 'AVL_TRAIN'), (263566, 'AVL_EVAL'), (287685, 'UN_AVL'), (325656, 'AVL_TRAIN'), (327966, 'UN_AVL'), (328085, 'AVL_TRAIN'), (328102, 'UN_AVL'), (328115, 'AVL_TRAIN'), (328121, 'UN_AVL'), (340434, 'AVL_TRAIN'), (341294, 'UN_AVL'), (342887, 'AVL_TRAIN'), (343770, 'UN_AVL'), (356565, 'AVL_TRAIN'), (356582, 'UN_AVL'), (360239, 'AVL_TRAIN'), (362988, 'AVL_EVAL'), (368591, 'UN_AVL'), (413195, 'AVL_TRAIN'), (422190, 'AVL_EVAL'), (453990, 'UN_AVL'), (453990, 'AVL_TRAIN'), (460189, 'AVL_EVAL'), (488326, 'UN_AVL')]", diff --git a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_39.json b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_39.json index 7791f709d..c1be9c906 100644 --- a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_39.json +++ b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_39.json @@ -81,7 +81,7 @@ "manual_seed": 42, "client_num_in_total": 0, "warmup_ratio": 1, - "training_delay_enabled": "True", + "training_delay_enabled": "False", "training_delay_factor": "10", "training_delay_s": "7.0", 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b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_4.json index 26639e26d..ae27d6d3f 100644 --- a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_4.json +++ b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_4.json @@ -81,7 +81,7 @@ "manual_seed": 42, "client_num_in_total": 0, "warmup_ratio": 1, - "training_delay_enabled": "True", + "training_delay_enabled": "False", "training_delay_factor": "10", "training_delay_s": "18.0", "avl_events_mobiperf_3st_50": "[(0, 'AVL_TRAIN'), (300, 'UN_AVL'), (10687, 'AVL_EVAL'), (74675, 'AVL_TRAIN'), (74990, 'AVL_EVAL'), (75607, 'AVL_TRAIN'), (83257, 'AVL_EVAL'), (92529, 'AVL_TRAIN'), (92860, 'AVL_EVAL'), (97479, 'UN_AVL'), (148456, 'AVL_EVAL'), (160606, 'UN_AVL'), (177609, 'AVL_EVAL'), (177609, 'AVL_TRAIN'), (232693, 'AVL_EVAL'), (245828, 'UN_AVL'), (255474, 'AVL_EVAL'), (259899, 'UN_AVL'), (269402, 'AVL_TRAIN'), (279325, 'AVL_EVAL'), (322502, 'UN_AVL'), (338370, 'AVL_EVAL'), (435431, 'UN_AVL'), (435431, 'AVL_TRAIN'), (437982, 'AVL_EVAL'), (520956, 'UN_AVL'), (522727, 'AVL_TRAIN'), (524615, 'UN_AVL'), (524625, 'AVL_TRAIN'), (524925, 'UN_AVL'), (526160, 'AVL_EVAL')]", diff --git a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_40.json b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_40.json index 4c5bfbba9..e3b566d4b 100644 --- a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_40.json +++ b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_40.json @@ -81,7 +81,7 @@ "manual_seed": 42, "client_num_in_total": 0, "warmup_ratio": 1, - "training_delay_enabled": "True", + "training_delay_enabled": "False", "training_delay_factor": "10", "training_delay_s": "21.0", "avl_events_mobiperf_3st_50": "[(0, 'AVL_TRAIN'), (300, 'UN_AVL'), (13557, 'AVL_TRAIN'), (15700, 'UN_AVL'), (17839, 'AVL_TRAIN'), (21235, 'AVL_EVAL'), (23943, 'UN_AVL'), (23984, 'AVL_TRAIN'), (56604, 'AVL_EVAL'), (79918, 'UN_AVL'), (89126, 'AVL_TRAIN'), (102140, 'AVL_EVAL'), (108410, 'AVL_TRAIN'), (141518, 'AVL_EVAL'), (163057, 'UN_AVL'), (176376, 'AVL_TRAIN'), (182620, 'AVL_EVAL'), (193290, 'UN_AVL'), (197285, 'AVL_TRAIN'), (225386, 'AVL_EVAL'), (250972, 'UN_AVL'), (266434, 'AVL_TRAIN'), (267417, 'UN_AVL'), (268379, 'AVL_TRAIN'), (268911, 'UN_AVL'), (269138, 'AVL_TRAIN'), (274584, 'AVL_EVAL'), (287536, 'UN_AVL'), (320065, 'AVL_TRAIN'), (330945, 'AVL_EVAL'), (359916, 'UN_AVL'), (378184, 'AVL_TRAIN'), (404092, 'AVL_EVAL'), (440213, 'UN_AVL'), (440213, 'AVL_TRAIN'), (440264, 'UN_AVL'), (440295, 'AVL_TRAIN'), (441839, 'UN_AVL'), (441841, 'AVL_TRAIN'), (441994, 'UN_AVL'), (441994, 'AVL_TRAIN'), (442004, 'UN_AVL'), (448904, 'AVL_TRAIN'), (453134, 'AVL_EVAL'), (456922, 'UN_AVL')]", diff --git a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_41.json b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_41.json index f7f74accc..378e890df 100644 --- a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_41.json +++ b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_41.json @@ -81,7 +81,7 @@ "manual_seed": 42, "client_num_in_total": 0, "warmup_ratio": 1, - "training_delay_enabled": "True", + "training_delay_enabled": "False", "training_delay_factor": "10", "training_delay_s": "13.0", "avl_events_mobiperf_3st_50": "[(0, 'AVL_TRAIN'), (300, 'AVL_EVAL'), (55523, 'AVL_TRAIN'), (69763, 'AVL_EVAL'), (89621, 'AVL_TRAIN'), (94189, 'AVL_EVAL'), (138502, 'AVL_TRAIN'), (140780, 'AVL_EVAL'), (159978, 'AVL_TRAIN'), (165139, 'AVL_EVAL'), (194198, 'AVL_TRAIN'), (194593, 'AVL_EVAL'), (218842, 'AVL_TRAIN'), (222740, 'AVL_EVAL'), (233334, 'AVL_TRAIN'), (235367, 'AVL_EVAL'), (258915, 'UN_AVL'), (261749, 'AVL_TRAIN'), (263878, 'AVL_EVAL'), (276338, 'AVL_TRAIN'), (280547, 'AVL_EVAL'), (349078, 'UN_AVL'), (349177, 'AVL_TRAIN'), (352799, 'AVL_EVAL'), (361574, 'AVL_TRAIN'), (365552, 'AVL_EVAL'), (394079, 'AVL_TRAIN'), (395652, 'AVL_EVAL'), (402844, 'AVL_TRAIN'), (404338, 'AVL_EVAL'), (428076, 'UN_AVL')]", diff --git a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_42.json b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_42.json index f6c007e6a..6aef980ff 100644 --- a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_42.json +++ b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_42.json @@ -81,7 +81,7 @@ "manual_seed": 42, "client_num_in_total": 0, "warmup_ratio": 1, - "training_delay_enabled": "True", + "training_delay_enabled": "False", "training_delay_factor": "10", "training_delay_s": "10.0", "avl_events_mobiperf_3st_50": "[(0, 'AVL_TRAIN'), (300, 'AVL_EVAL'), (932, 'UN_AVL'), (5814, 'AVL_TRAIN'), (5816, 'UN_AVL'), (5817, 'AVL_TRAIN'), (5821, 'UN_AVL'), (5824, 'AVL_TRAIN'), (37829, 'AVL_EVAL'), (47572, 'UN_AVL'), (51748, 'AVL_TRAIN'), (51749, 'UN_AVL'), (54387, 'AVL_TRAIN'), (54400, 'UN_AVL'), (57843, 'AVL_TRAIN'), (57853, 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a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_43.json +++ b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_43.json @@ -81,7 +81,7 @@ "manual_seed": 42, "client_num_in_total": 0, "warmup_ratio": 1, - "training_delay_enabled": "True", + "training_delay_enabled": "False", "training_delay_factor": "10", "training_delay_s": "5.0", "avl_events_mobiperf_3st_50": "[(0, 'AVL_TRAIN'), (300, 'AVL_EVAL'), (8288, 'AVL_TRAIN'), (8420, 'AVL_EVAL'), (43389, 'AVL_TRAIN'), (55741, 'AVL_EVAL'), (168004, 'AVL_TRAIN'), (168044, 'AVL_EVAL'), (168053, 'AVL_TRAIN'), (168450, 'AVL_EVAL'), (168450, 'AVL_TRAIN'), (168451, 'AVL_EVAL'), (168451, 'AVL_TRAIN'), (168453, 'AVL_EVAL'), (168454, 'AVL_TRAIN'), (168997, 'AVL_EVAL'), (168998, 'AVL_TRAIN'), (169006, 'AVL_EVAL'), (169008, 'AVL_TRAIN'), (169660, 'AVL_EVAL'), (169899, 'AVL_TRAIN'), (169910, 'AVL_EVAL'), (169914, 'AVL_TRAIN'), (170246, 'AVL_EVAL'), (244555, 'AVL_TRAIN'), (247523, 'AVL_EVAL'), (261454, 'AVL_TRAIN'), (262814, 'AVL_EVAL'), (269312, 'UN_AVL')]", diff --git a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_44.json b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_44.json index c02362675..79c409b4f 100644 --- a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_44.json +++ b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_44.json @@ -81,7 +81,7 @@ "manual_seed": 42, "client_num_in_total": 0, "warmup_ratio": 1, - "training_delay_enabled": "True", + "training_delay_enabled": "False", "training_delay_factor": "10", "training_delay_s": "15.0", "avl_events_mobiperf_3st_50": "[(0, 'AVL_TRAIN'), (300, 'AVL_TRAIN'), (4052, 'AVL_EVAL'), (13753, 'AVL_TRAIN'), (17876, 'AVL_EVAL'), (41529, 'AVL_TRAIN'), (45478, 'AVL_EVAL'), (53997, 'AVL_TRAIN'), (60043, 'AVL_EVAL'), (61878, 'AVL_TRAIN'), (62732, 'AVL_EVAL'), (66444, 'AVL_TRAIN'), (68015, 'AVL_EVAL'), (68685, 'AVL_TRAIN'), (69884, 'AVL_EVAL'), (71871, 'AVL_TRAIN'), (74958, 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'AVL_TRAIN'), (338179, 'AVL_EVAL'), (357109, 'AVL_TRAIN'), (357333, 'AVL_EVAL'), (359643, 'AVL_TRAIN'), (384777, 'AVL_EVAL'), (387282, 'UN_AVL')]", diff --git a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_45.json b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_45.json index e8d64a886..1a478f751 100644 --- a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_45.json +++ b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_45.json @@ -81,7 +81,7 @@ "manual_seed": 42, "client_num_in_total": 0, "warmup_ratio": 1, - "training_delay_enabled": "True", + "training_delay_enabled": "False", "training_delay_factor": "10", "training_delay_s": "24.0", "avl_events_mobiperf_3st_50": "[(0, 'AVL_TRAIN'), (300, 'UN_AVL'), (242924, 'AVL_EVAL'), (310803, 'UN_AVL'), (329033, 'AVL_TRAIN'), (329238, 'UN_AVL')]", diff --git a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_46.json b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_46.json index ede13a0ec..4f2ee003e 100644 --- a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_46.json +++ b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_46.json @@ -81,7 +81,7 @@ "manual_seed": 42, "client_num_in_total": 0, "warmup_ratio": 1, - "training_delay_enabled": "True", + "training_delay_enabled": "False", "training_delay_factor": "10", "training_delay_s": "5.0", "avl_events_mobiperf_3st_50": "[(0, 'AVL_TRAIN'), (300, 'UN_AVL'), (15954, 'AVL_TRAIN'), (16282, 'UN_AVL'), (16283, 'AVL_TRAIN'), (30974, 'AVL_EVAL'), (72353, 'AVL_TRAIN'), (73635, 'AVL_EVAL'), (75830, 'AVL_TRAIN'), (75873, 'AVL_EVAL'), (85250, 'AVL_TRAIN'), (89214, 'AVL_EVAL'), (93218, 'AVL_TRAIN'), (94740, 'AVL_EVAL'), (94811, 'AVL_TRAIN'), (94849, 'AVL_EVAL'), (94882, 'AVL_TRAIN'), (94899, 'AVL_EVAL'), (130280, 'AVL_TRAIN'), (132972, 'AVL_EVAL'), (158848, 'AVL_TRAIN'), (163571, 'AVL_EVAL'), (169735, 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b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_47.json @@ -81,7 +81,7 @@ "manual_seed": 42, "client_num_in_total": 0, "warmup_ratio": 1, - "training_delay_enabled": "True", + "training_delay_enabled": "False", "training_delay_factor": "10", "training_delay_s": "7.0", "avl_events_mobiperf_3st_50": "[(0, 'AVL_TRAIN'), (300, 'AVL_EVAL'), (1378, 'UN_AVL'), (52628, 'AVL_EVAL'), (57059, 'AVL_TRAIN'), (59458, 'AVL_EVAL'), (64525, 'UN_AVL'), (71571, 'AVL_TRAIN'), (72017, 'UN_AVL'), (72073, 'AVL_TRAIN'), (72756, 'UN_AVL'), (78997, 'AVL_TRAIN'), (79000, 'UN_AVL'), (79002, 'AVL_TRAIN'), (83746, 'AVL_EVAL'), (84808, 'AVL_TRAIN'), (86106, 'AVL_EVAL'), (87835, 'AVL_TRAIN'), (90829, 'AVL_EVAL'), (90837, 'AVL_TRAIN'), (91196, 'AVL_EVAL'), (92732, 'AVL_TRAIN'), (96630, 'AVL_EVAL'), (97336, 'AVL_TRAIN'), (101642, 'AVL_EVAL'), (101643, 'AVL_TRAIN'), (101654, 'AVL_EVAL'), (161054, 'UN_AVL'), (163339, 'AVL_TRAIN'), (164634, 'AVL_EVAL'), (165475, 'UN_AVL'), (170275, 'AVL_TRAIN'), (175534, 'AVL_EVAL'), (176602, 'UN_AVL'), (186201, 'AVL_TRAIN'), (192948, 'AVL_EVAL'), (192962, 'AVL_TRAIN'), (221280, 'AVL_EVAL'), (229044, 'AVL_TRAIN'), (235196, 'AVL_EVAL'), (242624, 'UN_AVL'), (250484, 'AVL_EVAL'), (251134, 'UN_AVL'), (254004, 'AVL_TRAIN'), (263336, 'AVL_EVAL'), (272961, 'UN_AVL'), (273364, 'AVL_TRAIN'), (300090, 'AVL_EVAL'), (317239, 'UN_AVL'), (321302, 'AVL_TRAIN'), (326727, 'AVL_EVAL'), (327882, 'UN_AVL'), (331530, 'AVL_TRAIN'), (336720, 'AVL_EVAL'), (338372, 'AVL_TRAIN'), (341533, 'AVL_EVAL'), (345407, 'AVL_TRAIN'), (345514, 'AVL_EVAL'), (347108, 'UN_AVL'), (348695, 'AVL_TRAIN')]", diff --git a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_48.json b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_48.json index 4c5838911..27e49c4b0 100644 --- a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_48.json +++ b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_48.json @@ -81,7 +81,7 @@ "manual_seed": 42, "client_num_in_total": 0, "warmup_ratio": 1, - "training_delay_enabled": "True", + "training_delay_enabled": "False", "training_delay_factor": "10", "training_delay_s": "14.0", "avl_events_mobiperf_3st_50": "[(0, 'AVL_TRAIN'), (300, 'AVL_EVAL'), (113643, 'UN_AVL'), (167106, 'AVL_TRAIN'), (167523, 'UN_AVL'), (167524, 'AVL_TRAIN'), (167818, 'UN_AVL'), (167819, 'AVL_TRAIN'), (168044, 'UN_AVL'), (168046, 'AVL_TRAIN'), (170002, 'UN_AVL'), (170557, 'AVL_TRAIN'), (172114, 'UN_AVL'), (173767, 'AVL_TRAIN'), (184325, 'UN_AVL'), (184327, 'AVL_TRAIN'), (184380, 'UN_AVL'), (184382, 'AVL_TRAIN'), (201544, 'AVL_EVAL'), (270198, 'UN_AVL'), (301907, 'AVL_TRAIN'), (306103, 'UN_AVL'), (307644, 'AVL_TRAIN'), (323768, 'AVL_EVAL'), (324213, 'AVL_TRAIN'), (331037, 'AVL_EVAL'), (331118, 'AVL_TRAIN'), (333438, 'UN_AVL'), (333439, 'AVL_TRAIN'), (333441, 'UN_AVL'), (333447, 'AVL_TRAIN'), (333451, 'UN_AVL'), (333452, 'AVL_TRAIN'), (333455, 'UN_AVL'), (333522, 'AVL_TRAIN'), (333549, 'UN_AVL'), (333550, 'AVL_TRAIN'), (333569, 'UN_AVL'), (333573, 'AVL_TRAIN'), (340914, 'UN_AVL'), (340917, 'AVL_TRAIN'), (340927, 'UN_AVL'), (340928, 'AVL_TRAIN'), (340936, 'UN_AVL'), (340941, 'AVL_TRAIN'), (340946, 'UN_AVL'), (340947, 'AVL_TRAIN'), (340948, 'UN_AVL'), (340953, 'AVL_TRAIN'), (340958, 'UN_AVL'), (340964, 'AVL_TRAIN'), (340969, 'UN_AVL'), (340970, 'AVL_TRAIN'), (340971, 'UN_AVL'), (340972, 'AVL_TRAIN'), (340974, 'UN_AVL'), (340981, 'AVL_TRAIN'), (340982, 'UN_AVL'), (340983, 'AVL_TRAIN'), (340992, 'UN_AVL'), (340992, 'AVL_TRAIN'), (341608, 'UN_AVL'), (341613, 'AVL_TRAIN'), (341643, 'UN_AVL'), (341657, 'AVL_TRAIN'), (341668, 'UN_AVL'), (341693, 'AVL_TRAIN'), (342705, 'UN_AVL'), (342708, 'AVL_TRAIN'), (343007, 'UN_AVL'), (343010, 'AVL_TRAIN'), (343011, 'UN_AVL'), (343012, 'AVL_TRAIN'), (343016, 'UN_AVL'), (343022, 'AVL_TRAIN'), (343031, 'UN_AVL'), (343190, 'AVL_TRAIN'), (360439, 'UN_AVL'), (364048, 'AVL_EVAL'), (364048, 'AVL_TRAIN'), (364397, 'AVL_EVAL'), (451047, 'UN_AVL'), (463846, 'AVL_TRAIN'), (489644, 'AVL_EVAL'), (495289, 'UN_AVL')]", diff --git a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_49.json b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_49.json index 5c30d56e0..6ecd2a330 100644 --- a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_49.json +++ b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_49.json @@ -81,7 +81,7 @@ "manual_seed": 42, "client_num_in_total": 0, "warmup_ratio": 1, - "training_delay_enabled": "True", + "training_delay_enabled": "False", "training_delay_factor": "10", "training_delay_s": "12.0", "avl_events_mobiperf_3st_50": "[(0, 'AVL_TRAIN'), (300, 'UN_AVL'), (5310, 'AVL_TRAIN'), (7222, 'UN_AVL'), (31086, 'AVL_TRAIN'), (31945, 'UN_AVL'), (32100, 'AVL_TRAIN'), (36154, 'AVL_EVAL'), (37070, 'AVL_TRAIN'), (45584, 'AVL_EVAL'), (147921, 'AVL_TRAIN'), (148354, 'AVL_EVAL'), (171992, 'UN_AVL'), (215923, 'AVL_TRAIN'), (217064, 'UN_AVL'), (255393, 'AVL_TRAIN'), (256981, 'UN_AVL'), (257217, 'AVL_TRAIN'), (257470, 'UN_AVL'), (257611, 'AVL_TRAIN'), (261824, 'AVL_EVAL'), (261835, 'AVL_TRAIN'), (263206, 'UN_AVL')]", diff --git a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_5.json b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_5.json index cf8979f58..2d84bf618 100644 --- a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_5.json +++ b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_5.json @@ -81,7 +81,7 @@ "manual_seed": 42, "client_num_in_total": 0, "warmup_ratio": 1, - "training_delay_enabled": "True", + "training_delay_enabled": "False", "training_delay_factor": "10", "training_delay_s": "5.0", "avl_events_mobiperf_3st_50": "[(0, 'AVL_TRAIN'), (300, 'UN_AVL'), (223349, 'AVL_TRAIN'), (223793, 'UN_AVL'), (223794, 'AVL_TRAIN'), (223795, 'UN_AVL'), (228077, 'AVL_TRAIN'), (231075, 'UN_AVL'), (235397, 'AVL_TRAIN'), (239058, 'AVL_EVAL'), (240725, 'UN_AVL')]", diff --git a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_50.json b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_50.json index bd3092c91..1e54e8658 100644 --- a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_50.json +++ b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_50.json @@ -81,7 +81,7 @@ "manual_seed": 42, "client_num_in_total": 0, "warmup_ratio": 1, - "training_delay_enabled": "True", + "training_delay_enabled": "False", "training_delay_factor": "10", "training_delay_s": "5.0", "avl_events_mobiperf_3st_50": "[(0, 'AVL_TRAIN'), (300, 'UN_AVL'), (95264, 'AVL_EVAL'), (99453, 'UN_AVL'), (102924, 'AVL_TRAIN'), (107713, 'AVL_EVAL'), (138831, 'UN_AVL'), (140998, 'AVL_TRAIN'), (152704, 'AVL_EVAL'), (152704, 'AVL_TRAIN'), (152714, 'AVL_EVAL'), (153501, 'AVL_TRAIN'), (154725, 'UN_AVL'), (154850, 'AVL_TRAIN'), (167956, 'UN_AVL')]", diff --git a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_51.json b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_51.json index 2c0f8142e..0479d2392 100644 --- a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_51.json +++ b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_51.json @@ -81,7 +81,7 @@ "manual_seed": 42, "client_num_in_total": 0, "warmup_ratio": 1, - "training_delay_enabled": "True", + "training_delay_enabled": "False", "training_delay_factor": "10", "training_delay_s": "16.0", "avl_events_mobiperf_3st_50": "[(0, 'AVL_TRAIN'), (300, 'UN_AVL'), (207687, 'AVL_TRAIN'), (209393, 'AVL_EVAL'), (213046, 'AVL_TRAIN'), (213809, 'AVL_EVAL'), (219540, 'UN_AVL'), (229295, 'AVL_TRAIN'), (230080, 'UN_AVL'), (236635, 'AVL_TRAIN'), (238791, 'UN_AVL'), (246659, 'AVL_TRAIN'), (249110, 'AVL_EVAL'), (261165, 'UN_AVL'), (261379, 'AVL_TRAIN'), (264886, 'AVL_EVAL'), (296386, 'UN_AVL'), (342427, 'AVL_EVAL'), (348184, 'UN_AVL'), (359372, 'AVL_TRAIN'), (360155, 'AVL_EVAL'), (361153, 'UN_AVL'), (377549, 'AVL_TRAIN'), (381983, 'AVL_EVAL'), (428246, 'AVL_TRAIN'), (431851, 'AVL_EVAL'), (432670, 'AVL_TRAIN'), (436094, 'AVL_EVAL'), (466115, 'UN_AVL')]", diff --git a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_52.json b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_52.json index 82f4a3a9c..a9c950da2 100644 --- a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_52.json +++ b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_52.json @@ -81,7 +81,7 @@ "manual_seed": 42, "client_num_in_total": 0, "warmup_ratio": 1, - "training_delay_enabled": "True", + "training_delay_enabled": "False", "training_delay_factor": "10", "training_delay_s": "14.0", "avl_events_mobiperf_3st_50": "[(0, 'AVL_TRAIN'), (300, 'AVL_EVAL'), (6904, 'UN_AVL'), (39500, 'AVL_EVAL'), (39500, 'AVL_TRAIN'), (39645, 'AVL_EVAL'), (41348, 'AVL_TRAIN'), (42382, 'AVL_EVAL'), (47469, 'AVL_TRAIN'), (48348, 'AVL_EVAL'), (69109, 'AVL_TRAIN'), (69539, 'AVL_EVAL'), (88968, 'UN_AVL'), (125891, 'AVL_EVAL'), (125891, 'AVL_TRAIN'), (126158, 'AVL_EVAL'), (142259, 'AVL_TRAIN'), (142496, 'AVL_EVAL'), (153130, 'AVL_TRAIN'), (158358, 'AVL_EVAL'), (171476, 'UN_AVL'), (212272, 'AVL_TRAIN'), (214842, 'AVL_EVAL'), (225708, 'UN_AVL'), (231258, 'AVL_TRAIN'), (232781, 'AVL_EVAL'), (232784, 'AVL_TRAIN'), (236573, 'AVL_EVAL'), (236575, 'AVL_TRAIN'), (236584, 'AVL_EVAL'), (238842, 'AVL_TRAIN'), (243910, 'AVL_EVAL'), (256171, 'UN_AVL'), (298693, 'AVL_EVAL'), (298693, 'AVL_TRAIN'), (304769, 'AVL_EVAL'), (322875, 'AVL_TRAIN'), (323462, 'AVL_EVAL'), (323563, 'AVL_TRAIN'), (329094, 'AVL_EVAL'), (352807, 'UN_AVL'), (355630, 'AVL_TRAIN'), (360038, 'AVL_EVAL'), (386293, 'AVL_TRAIN'), (389065, 'AVL_EVAL'), (423082, 'UN_AVL'), (438883, 'AVL_TRAIN'), (472611, 'AVL_EVAL'), (472823, 'AVL_TRAIN'), (475963, 'AVL_EVAL'), (499849, 'UN_AVL'), (500014, 'AVL_TRAIN'), (502187, 'AVL_EVAL'), (502189, 'AVL_TRAIN'), (502978, 'UN_AVL')]", diff --git a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_53.json b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_53.json index 13f235d17..7a21c11fe 100644 --- a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_53.json +++ b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_53.json @@ -81,7 +81,7 @@ "manual_seed": 42, "client_num_in_total": 0, "warmup_ratio": 1, - "training_delay_enabled": "True", + "training_delay_enabled": "False", "training_delay_factor": "10", "training_delay_s": "4.0", "avl_events_mobiperf_3st_50": "[(0, 'AVL_TRAIN'), (300, 'UN_AVL'), (5993, 'AVL_EVAL'), (40428, 'AVL_TRAIN'), (40791, 'AVL_EVAL'), (42512, 'AVL_TRAIN'), (45685, 'AVL_EVAL'), (89687, 'UN_AVL'), (128969, 'AVL_TRAIN'), (128970, 'UN_AVL'), (128980, 'AVL_TRAIN'), (132202, 'AVL_EVAL'), (170019, 'UN_AVL'), (170219, 'AVL_TRAIN'), (171710, 'AVL_EVAL'), (185010, 'UN_AVL'), (231040, 'AVL_TRAIN'), (250239, 'AVL_EVAL'), (250239, 'AVL_TRAIN'), (250249, 'AVL_EVAL'), (271861, 'UN_AVL'), (305189, 'AVL_TRAIN'), (310362, 'AVL_EVAL'), (310362, 'AVL_TRAIN'), (310365, 'AVL_EVAL'), (325579, 'UN_AVL'), (331152, 'AVL_TRAIN'), (335736, 'AVL_EVAL'), (356228, 'UN_AVL'), (387925, 'AVL_TRAIN'), (391048, 'AVL_EVAL'), (442293, 'UN_AVL'), (471896, 'AVL_TRAIN'), (474550, 'AVL_EVAL'), (517256, 'UN_AVL')]", diff --git a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_54.json b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_54.json index 80ef8f8fc..672f26a41 100644 --- a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_54.json +++ b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_54.json @@ -81,7 +81,7 @@ "manual_seed": 42, "client_num_in_total": 0, "warmup_ratio": 1, - "training_delay_enabled": "True", + "training_delay_enabled": "False", "training_delay_factor": "10", "training_delay_s": "14.0", "avl_events_mobiperf_3st_50": "[(0, 'AVL_TRAIN'), (300, 'UN_AVL'), (102464, 'AVL_EVAL'), (161123, 'UN_AVL'), (171080, 'AVL_TRAIN'), (171088, 'UN_AVL'), (171088, 'AVL_TRAIN'), (171098, 'UN_AVL'), (171123, 'AVL_TRAIN'), (173152, 'AVL_EVAL'), (183205, 'UN_AVL'), (183205, 'AVL_TRAIN'), (183264, 'UN_AVL'), (184085, 'AVL_TRAIN'), (185117, 'UN_AVL'), (187218, 'AVL_TRAIN'), (187219, 'UN_AVL'), (187220, 'AVL_TRAIN'), (187221, 'UN_AVL'), (187224, 'AVL_TRAIN'), (187812, 'UN_AVL'), (187812, 'AVL_TRAIN'), (189770, 'UN_AVL'), (189776, 'AVL_TRAIN'), (190415, 'UN_AVL'), (190554, 'AVL_TRAIN'), (190794, 'UN_AVL'), (191867, 'AVL_TRAIN'), (191962, 'UN_AVL'), (192840, 'AVL_TRAIN'), (217951, 'AVL_EVAL'), (223912, 'AVL_TRAIN'), (224426, 'AVL_EVAL'), (224447, 'AVL_TRAIN'), (224514, 'AVL_EVAL'), (319312, 'UN_AVL'), (351032, 'AVL_TRAIN'), (351484, 'UN_AVL'), (351903, 'AVL_TRAIN'), (352123, 'UN_AVL'), (352374, 'AVL_TRAIN'), (353704, 'AVL_EVAL'), (359274, 'UN_AVL'), (401067, 'AVL_TRAIN'), (402327, 'UN_AVL'), (434330, 'AVL_TRAIN'), (434610, 'UN_AVL')]", diff --git a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_55.json b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_55.json index bd06a7241..088abc6cc 100644 --- a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_55.json +++ b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_55.json @@ -81,7 +81,7 @@ "manual_seed": 42, "client_num_in_total": 0, "warmup_ratio": 1, - "training_delay_enabled": "True", + "training_delay_enabled": "False", "training_delay_factor": "10", "training_delay_s": "23.0", "avl_events_mobiperf_3st_50": "[(0, 'AVL_TRAIN'), (300, 'UN_AVL')]", diff --git a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_56.json b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_56.json index 10b255a77..a1c0b7fbf 100644 --- a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_56.json +++ b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_56.json @@ -81,7 +81,7 @@ "manual_seed": 42, "client_num_in_total": 0, "warmup_ratio": 1, - "training_delay_enabled": "True", + "training_delay_enabled": "False", "training_delay_factor": "10", "training_delay_s": "30.0", "avl_events_mobiperf_3st_50": "[(0, 'AVL_TRAIN'), (300, 'AVL_EVAL'), (3785, 'UN_AVL'), (67339, 'AVL_TRAIN'), (70372, 'UN_AVL'), (90088, 'AVL_TRAIN'), (105890, 'AVL_EVAL'), (211817, 'UN_AVL'), (323903, 'AVL_EVAL'), (352242, 'UN_AVL'), (380055, 'AVL_TRAIN'), (387626, 'AVL_EVAL'), (389230, 'AVL_TRAIN'), (395929, 'AVL_EVAL'), (432844, 'UN_AVL'), (468462, 'AVL_TRAIN'), (473226, 'AVL_EVAL'), (477430, 'UN_AVL')]", diff --git a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_57.json b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_57.json index 19fcfbfbe..fcdc9cdb5 100644 --- a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_57.json +++ b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_57.json @@ -81,7 +81,7 @@ "manual_seed": 42, "client_num_in_total": 0, "warmup_ratio": 1, - "training_delay_enabled": "True", + "training_delay_enabled": "False", "training_delay_factor": "10", "training_delay_s": "21.0", "avl_events_mobiperf_3st_50": "[(0, 'AVL_TRAIN'), (300, 'AVL_TRAIN'), (698, 'AVL_EVAL'), (67276, 'UN_AVL'), (68243, 'AVL_TRAIN'), (83793, 'AVL_EVAL'), (89025, 'AVL_TRAIN'), (89507, 'AVL_EVAL'), (91835, 'AVL_TRAIN'), (93790, 'AVL_EVAL'), (98474, 'AVL_TRAIN'), (108101, 'AVL_EVAL'), (151046, 'AVL_TRAIN'), (152849, 'AVL_EVAL'), (173965, 'UN_AVL'), (173996, 'AVL_TRAIN'), (180294, 'AVL_EVAL'), (180818, 'AVL_TRAIN'), (181988, 'AVL_EVAL'), (218151, 'AVL_TRAIN'), (218563, 'AVL_EVAL'), (231723, 'AVL_TRAIN'), (235443, 'AVL_EVAL'), (244565, 'UN_AVL'), (244565, 'AVL_TRAIN'), (311411, 'AVL_EVAL'), (313674, 'UN_AVL'), (320190, 'AVL_TRAIN'), (320595, 'UN_AVL'), (321584, 'AVL_EVAL'), (321584, 'AVL_TRAIN'), (329629, 'AVL_EVAL'), (335635, 'AVL_TRAIN'), (338546, 'AVL_EVAL'), (350094, 'AVL_TRAIN'), (353416, 'AVL_EVAL'), (399275, 'AVL_TRAIN'), (401693, 'AVL_EVAL'), (413938, 'AVL_TRAIN'), (415712, 'AVL_EVAL'), (418777, 'AVL_TRAIN'), (421213, 'AVL_EVAL'), (428651, 'AVL_TRAIN'), (429617, 'AVL_EVAL'), (434104, 'AVL_TRAIN'), (437429, 'AVL_EVAL'), (450017, 'UN_AVL'), (450724, 'AVL_TRAIN'), (456537, 'AVL_EVAL'), (477850, 'AVL_TRAIN'), (478799, 'AVL_EVAL'), (494683, 'UN_AVL'), (499000, 'AVL_TRAIN')]", diff --git a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_58.json b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_58.json index 8c3dcf623..39943c9f2 100644 --- a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_58.json +++ b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_58.json @@ -81,7 +81,7 @@ "manual_seed": 42, "client_num_in_total": 0, "warmup_ratio": 1, - "training_delay_enabled": "True", + "training_delay_enabled": "False", "training_delay_factor": "10", "training_delay_s": "28.0", "avl_events_mobiperf_3st_50": "[(0, 'AVL_TRAIN'), (300, 'UN_AVL'), (47141, 'AVL_EVAL'), (132219, 'UN_AVL')]", diff --git a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_59.json b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_59.json index cf26e3e12..04fbafe15 100644 --- a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_59.json +++ b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_59.json @@ -81,7 +81,7 @@ "manual_seed": 42, "client_num_in_total": 0, "warmup_ratio": 1, - "training_delay_enabled": "True", + "training_delay_enabled": "False", "training_delay_factor": "10", "training_delay_s": "12.0", "avl_events_mobiperf_3st_50": "[(0, 'AVL_TRAIN'), (300, 'AVL_EVAL'), (2220, 'UN_AVL'), (69562, 'AVL_TRAIN'), (90340, 'AVL_EVAL'), (91380, 'AVL_TRAIN'), (91391, 'AVL_EVAL'), (91399, 'AVL_TRAIN'), (91459, 'AVL_EVAL'), (91470, 'AVL_TRAIN'), (92782, 'AVL_EVAL'), (167142, 'UN_AVL'), (187114, 'AVL_TRAIN'), (219297, 'AVL_EVAL'), (262348, 'UN_AVL')]", diff --git a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_6.json b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_6.json index 7a73cdd3e..3d415578b 100644 --- a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_6.json +++ b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_6.json @@ -81,7 +81,7 @@ "manual_seed": 42, "client_num_in_total": 0, "warmup_ratio": 1, - "training_delay_enabled": "True", + "training_delay_enabled": "False", "training_delay_factor": "10", "training_delay_s": "10.0", "avl_events_mobiperf_3st_50": "[(0, 'AVL_TRAIN'), (300, 'UN_AVL'), (7925, 'AVL_EVAL'), (48603, 'AVL_TRAIN'), (54224, 'AVL_EVAL'), (54225, 'AVL_TRAIN'), (58146, 'AVL_EVAL'), (67548, 'AVL_TRAIN'), (67560, 'AVL_EVAL'), (94384, 'UN_AVL'), (133631, 'AVL_EVAL'), (135976, 'AVL_TRAIN'), (136810, 'AVL_EVAL'), (145256, 'AVL_TRAIN'), (146614, 'AVL_EVAL'), (166844, 'UN_AVL'), (174078, 'AVL_TRAIN'), (181585, 'AVL_EVAL'), (225980, 'AVL_TRAIN'), (233310, 'AVL_EVAL'), (257948, 'UN_AVL'), (261738, 'AVL_TRAIN'), (264036, 'AVL_EVAL'), (267774, 'UN_AVL'), (271183, 'AVL_TRAIN'), (305145, 'AVL_EVAL'), (323824, 'UN_AVL'), (323881, 'AVL_TRAIN'), (327861, 'UN_AVL'), (328215, 'AVL_TRAIN'), (334742, 'AVL_EVAL'), (352603, 'UN_AVL'), (358996, 'AVL_TRAIN'), (391418, 'AVL_EVAL'), (438347, 'UN_AVL'), (478096, 'AVL_TRAIN'), (499631, 'AVL_EVAL'), (501624, 'AVL_TRAIN'), (501703, 'AVL_EVAL'), (526086, 'UN_AVL')]", diff --git a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_60.json b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_60.json index 326f149ac..9bbaba8c8 100644 --- a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_60.json +++ b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_60.json @@ -81,7 +81,7 @@ "manual_seed": 42, "client_num_in_total": 0, "warmup_ratio": 1, - "training_delay_enabled": "True", + "training_delay_enabled": "False", "training_delay_factor": "10", "training_delay_s": "8.0", "avl_events_mobiperf_3st_50": "[(0, 'AVL_TRAIN'), (300, 'UN_AVL'), (259119, 'AVL_EVAL'), (259173, 'AVL_TRAIN'), (259667, 'AVL_EVAL'), (259673, 'AVL_TRAIN'), (259814, 'AVL_EVAL'), (261917, 'UN_AVL'), (269920, 'AVL_EVAL'), (269920, 'AVL_TRAIN'), (270018, 'AVL_EVAL'), (270151, 'AVL_TRAIN'), (271975, 'AVL_EVAL'), (331190, 'AVL_TRAIN'), (332454, 'AVL_EVAL'), (338467, 'UN_AVL'), (346055, 'AVL_EVAL'), (389070, 'UN_AVL'), (389092, 'AVL_TRAIN'), (391514, 'AVL_EVAL'), (391535, 'AVL_TRAIN'), (392513, 'AVL_EVAL'), (392521, 'AVL_TRAIN'), (392522, 'AVL_EVAL'), (392523, 'AVL_TRAIN'), (392526, 'AVL_EVAL'), (392534, 'AVL_TRAIN'), (392815, 'AVL_EVAL'), (392815, 'AVL_TRAIN'), (396077, 'AVL_EVAL'), (396077, 'AVL_TRAIN'), (396086, 'AVL_EVAL'), (396097, 'AVL_TRAIN'), (397298, 'AVL_EVAL'), (400080, 'AVL_TRAIN'), (408261, 'AVL_EVAL'), (440671, 'AVL_TRAIN'), (477109, 'AVL_EVAL'), (480884, 'AVL_TRAIN'), (481211, 'AVL_EVAL'), (504485, 'UN_AVL'), (507706, 'AVL_TRAIN'), (508777, 'AVL_EVAL'), (509133, 'UN_AVL'), (510158, 'AVL_TRAIN'), (515831, 'AVL_EVAL'), (518294, 'UN_AVL')]", diff --git a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_61.json b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_61.json index 45dfb8a84..a79b4fb88 100644 --- a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_61.json +++ b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_61.json @@ -81,7 +81,7 @@ "manual_seed": 42, "client_num_in_total": 0, "warmup_ratio": 1, - "training_delay_enabled": "True", + "training_delay_enabled": "False", "training_delay_factor": "10", "training_delay_s": "3.0", "avl_events_mobiperf_3st_50": "[(0, 'AVL_TRAIN'), (300, 'UN_AVL'), (8428, 'AVL_EVAL'), (14636, 'UN_AVL'), (44110, 'AVL_TRAIN'), (74890, 'AVL_EVAL'), (99609, 'UN_AVL'), (130209, 'AVL_TRAIN'), (150745, 'AVL_EVAL'), (171567, 'AVL_TRAIN'), (179526, 'AVL_EVAL'), (238010, 'UN_AVL'), (238084, 'AVL_TRAIN'), (247807, 'AVL_EVAL'), (260861, 'UN_AVL'), (260872, 'AVL_TRAIN'), (263929, 'AVL_EVAL'), (271408, 'UN_AVL'), (278939, 'AVL_TRAIN'), (302514, 'AVL_EVAL'), (341053, 'UN_AVL'), (343667, 'AVL_TRAIN'), (348698, 'AVL_EVAL'), (360108, 'UN_AVL'), (422460, 'AVL_TRAIN'), (425905, 'AVL_EVAL'), (429944, 'UN_AVL'), (430637, 'AVL_TRAIN'), (438845, 'AVL_EVAL'), (516838, 'UN_AVL'), (516993, 'AVL_TRAIN'), (525518, 'AVL_EVAL')]", diff --git a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_62.json b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_62.json index fd7f1bba8..e7f627c0e 100644 --- a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_62.json +++ b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_62.json @@ -81,7 +81,7 @@ "manual_seed": 42, "client_num_in_total": 0, "warmup_ratio": 1, - "training_delay_enabled": "True", + "training_delay_enabled": "False", "training_delay_factor": "10", "training_delay_s": "10.0", "avl_events_mobiperf_3st_50": "[(0, 'AVL_TRAIN'), (300, 'UN_AVL'), (64608, 'AVL_TRAIN'), (65265, 'UN_AVL'), (65381, 'AVL_TRAIN'), (71302, 'AVL_EVAL'), (77062, 'UN_AVL'), (101055, 'AVL_TRAIN'), (107529, 'AVL_EVAL'), (160131, 'UN_AVL'), (191772, 'AVL_TRAIN'), (196433, 'UN_AVL'), (256070, 'AVL_EVAL'), (304632, 'UN_AVL'), (346433, 'AVL_TRAIN'), (357461, 'AVL_EVAL'), (457959, 'UN_AVL')]", diff --git a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_63.json b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_63.json index 93d846cb9..933f5e2f3 100644 --- a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_63.json +++ b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_63.json @@ -81,7 +81,7 @@ "manual_seed": 42, "client_num_in_total": 0, "warmup_ratio": 1, - "training_delay_enabled": "True", + "training_delay_enabled": "False", "training_delay_factor": "10", "training_delay_s": "20.0", "avl_events_mobiperf_3st_50": "[(0, 'AVL_TRAIN'), (300, 'UN_AVL'), (318747, 'AVL_EVAL'), (323496, 'AVL_TRAIN'), (323512, 'AVL_EVAL'), (323513, 'AVL_TRAIN'), (323547, 'AVL_EVAL'), (323548, 'AVL_TRAIN'), (323549, 'AVL_EVAL'), (325422, 'UN_AVL'), (325422, 'AVL_TRAIN'), (326320, 'AVL_EVAL'), (336906, 'UN_AVL'), (336927, 'AVL_TRAIN'), (344882, 'AVL_EVAL'), (390350, 'UN_AVL')]", diff --git a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_64.json b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_64.json index 2ad30e138..3d2970882 100644 --- a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_64.json +++ b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_64.json @@ -81,7 +81,7 @@ "manual_seed": 42, "client_num_in_total": 0, "warmup_ratio": 1, - "training_delay_enabled": "True", + "training_delay_enabled": "False", "training_delay_factor": "10", "training_delay_s": "2.0", "avl_events_mobiperf_3st_50": "[(0, 'AVL_TRAIN'), (300, 'AVL_EVAL'), (10471, 'UN_AVL'), (23052, 'AVL_TRAIN'), (51943, 'AVL_EVAL'), (120242, 'AVL_TRAIN'), (133849, 'AVL_EVAL'), (169594, 'AVL_TRAIN'), (171629, 'AVL_EVAL'), (176696, 'UN_AVL')]", diff --git a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_65.json b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_65.json index 29b152a44..4d707b3de 100644 --- a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_65.json +++ b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_65.json @@ -81,7 +81,7 @@ "manual_seed": 42, "client_num_in_total": 0, "warmup_ratio": 1, - "training_delay_enabled": "True", + "training_delay_enabled": "False", "training_delay_factor": "10", "training_delay_s": "22.0", "avl_events_mobiperf_3st_50": "[(0, 'AVL_TRAIN'), (300, 'UN_AVL'), (428306, 'AVL_EVAL'), (428306, 'AVL_TRAIN'), (429653, 'AVL_EVAL'), (429658, 'AVL_TRAIN'), (430720, 'AVL_EVAL'), (439306, 'UN_AVL'), (443756, 'AVL_TRAIN'), (444692, 'UN_AVL'), (447878, 'AVL_TRAIN'), (453699, 'AVL_EVAL'), (476126, 'AVL_TRAIN'), (476127, 'AVL_EVAL'), (493367, 'AVL_TRAIN'), (495809, 'AVL_EVAL'), (502089, 'UN_AVL')]", diff --git a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_66.json b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_66.json index 1f5197916..e20d5e125 100644 --- a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_66.json +++ b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_66.json @@ -81,7 +81,7 @@ "manual_seed": 42, "client_num_in_total": 0, "warmup_ratio": 1, - "training_delay_enabled": "True", + "training_delay_enabled": "False", "training_delay_factor": "10", "training_delay_s": "7.0", "avl_events_mobiperf_3st_50": "[(0, 'AVL_TRAIN'), (300, 'UN_AVL'), (16765, 'AVL_EVAL'), (47208, 'AVL_TRAIN'), (47896, 'AVL_EVAL'), (76014, 'UN_AVL'), (84359, 'AVL_TRAIN'), (87358, 'AVL_EVAL'), (88215, 'UN_AVL'), (91883, 'AVL_TRAIN'), (93296, 'UN_AVL'), (95358, 'AVL_TRAIN'), (96408, 'UN_AVL'), (100482, 'AVL_TRAIN'), (111737, 'AVL_EVAL'), (150816, 'UN_AVL'), (165998, 'AVL_TRAIN'), (171119, 'AVL_EVAL'), (175408, 'UN_AVL'), (180986, 'AVL_TRAIN'), (205860, 'AVL_EVAL'), (249271, 'UN_AVL'), (258099, 'AVL_TRAIN'), (259682, 'UN_AVL'), (263505, 'AVL_TRAIN'), (269843, 'AVL_EVAL'), (303758, 'UN_AVL'), (304527, 'AVL_TRAIN'), (306677, 'AVL_EVAL'), (314606, 'AVL_TRAIN'), (318211, 'AVL_EVAL'), (336844, 'UN_AVL'), (343077, 'AVL_TRAIN'), (343679, 'AVL_EVAL'), (349113, 'UN_AVL'), (356360, 'AVL_TRAIN'), (367219, 'AVL_EVAL'), (424702, 'UN_AVL'), (430075, 'AVL_TRAIN'), (434814, 'AVL_EVAL'), (439745, 'UN_AVL'), (447624, 'AVL_TRAIN')]", diff --git a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_67.json b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_67.json index 42bfd1b6e..e103fb266 100644 --- a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_67.json +++ b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_67.json @@ -81,7 +81,7 @@ "manual_seed": 42, "client_num_in_total": 0, "warmup_ratio": 1, - "training_delay_enabled": "True", + "training_delay_enabled": "False", "training_delay_factor": "10", "training_delay_s": "6.0", "avl_events_mobiperf_3st_50": "[(0, 'AVL_TRAIN'), (300, 'UN_AVL'), (4013, 'AVL_TRAIN'), (5104, 'UN_AVL'), (5723, 'AVL_TRAIN'), (5807, 'UN_AVL'), (7487, 'AVL_TRAIN'), (9968, 'AVL_EVAL'), (20492, 'AVL_TRAIN'), (22239, 'UN_AVL'), (22631, 'AVL_TRAIN'), (72271, 'AVL_EVAL'), (101911, 'UN_AVL'), (111604, 'AVL_TRAIN'), (113749, 'UN_AVL'), (113758, 'AVL_TRAIN'), (117848, 'UN_AVL'), (117851, 'AVL_TRAIN'), (158356, 'AVL_EVAL'), (160205, 'AVL_TRAIN'), (162268, 'AVL_EVAL'), (177370, 'UN_AVL'), (183858, 'AVL_TRAIN'), (184766, 'UN_AVL'), (184769, 'AVL_TRAIN'), (186214, 'AVL_EVAL'), (187039, 'UN_AVL'), (189238, 'AVL_TRAIN'), (192613, 'AVL_EVAL'), (197063, 'AVL_TRAIN'), (198268, 'AVL_EVAL'), (201303, 'UN_AVL'), (206189, 'AVL_TRAIN'), (238836, 'AVL_EVAL'), (241143, 'AVL_TRAIN'), (243318, 'AVL_EVAL'), (254294, 'UN_AVL'), (256535, 'AVL_TRAIN'), (259280, 'UN_AVL'), (262951, 'AVL_TRAIN'), (263998, 'UN_AVL'), (266091, 'AVL_TRAIN'), (277913, 'AVL_EVAL'), (284879, 'AVL_TRAIN'), (288294, 'AVL_EVAL'), (288297, 'AVL_TRAIN'), (290100, 'AVL_EVAL'), (293517, 'UN_AVL'), (293517, 'AVL_TRAIN'), (318946, 'AVL_EVAL'), (337649, 'UN_AVL'), (337649, 'AVL_TRAIN'), (337965, 'UN_AVL'), (337975, 'AVL_TRAIN'), (341323, 'UN_AVL'), (342510, 'AVL_TRAIN'), (346132, 'UN_AVL'), (347152, 'AVL_TRAIN'), (351287, 'UN_AVL'), (351303, 'AVL_TRAIN'), (352911, 'UN_AVL'), (353131, 'AVL_TRAIN'), (356647, 'UN_AVL'), (356653, 'AVL_TRAIN'), (362516, 'AVL_EVAL'), (362543, 'AVL_TRAIN'), (362816, 'AVL_EVAL'), (362819, 'AVL_TRAIN'), (362820, 'AVL_EVAL'), (362823, 'AVL_TRAIN'), (368122, 'AVL_EVAL'), (373477, 'AVL_TRAIN'), (395762, 'AVL_EVAL')]", diff --git a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_68.json b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_68.json index 4b5d801b6..d51cd19a1 100644 --- a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_68.json +++ b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_68.json @@ -81,7 +81,7 @@ "manual_seed": 42, "client_num_in_total": 0, "warmup_ratio": 1, - "training_delay_enabled": "True", + "training_delay_enabled": "False", "training_delay_factor": "10", "training_delay_s": "15.0", "avl_events_mobiperf_3st_50": "[(0, 'AVL_TRAIN'), (300, 'AVL_EVAL'), (8324, 'UN_AVL'), (21894, 'AVL_TRAIN'), (42509, 'AVL_EVAL'), (48632, 'AVL_TRAIN'), (50270, 'AVL_EVAL'), (65294, 'AVL_TRAIN'), (76731, 'AVL_EVAL'), (88487, 'AVL_TRAIN'), (88674, 'AVL_EVAL'), (104987, 'UN_AVL'), (104987, 'AVL_TRAIN'), (130211, 'AVL_EVAL'), (144687, 'AVL_TRAIN'), (146531, 'AVL_EVAL'), (152860, 'AVL_TRAIN'), (162597, 'AVL_EVAL'), (173341, 'AVL_TRAIN'), (174345, 'AVL_EVAL'), (190546, 'UN_AVL'), (195126, 'AVL_TRAIN'), (220867, 'AVL_EVAL'), (229221, 'AVL_TRAIN'), (229687, 'AVL_EVAL'), (231157, 'AVL_TRAIN'), (231671, 'AVL_EVAL'), (238845, 'AVL_TRAIN'), (246010, 'AVL_EVAL'), (278697, 'UN_AVL'), (289934, 'AVL_TRAIN'), (310496, 'AVL_EVAL'), (322083, 'AVL_TRAIN'), (325394, 'AVL_EVAL'), (341657, 'UN_AVL'), (343598, 'AVL_EVAL'), (343598, 'AVL_TRAIN'), (344391, 'AVL_EVAL'), (346628, 'AVL_TRAIN'), (349480, 'AVL_EVAL'), (349614, 'AVL_TRAIN'), (350054, 'AVL_EVAL'), (350065, 'AVL_TRAIN'), (352077, 'AVL_EVAL'), (361502, 'AVL_TRAIN'), (392817, 'AVL_EVAL'), (399308, 'AVL_TRAIN'), (401414, 'AVL_EVAL'), (411647, 'AVL_TRAIN'), (417380, 'AVL_EVAL'), (434242, 'AVL_TRAIN'), (435532, 'AVL_EVAL'), (442494, 'UN_AVL'), (458572, 'AVL_TRAIN'), (479526, 'AVL_EVAL'), (489227, 'UN_AVL')]", diff --git a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_69.json b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_69.json index 6aa503df9..251e31eb2 100644 --- a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_69.json +++ b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_69.json @@ -81,7 +81,7 @@ "manual_seed": 42, "client_num_in_total": 0, "warmup_ratio": 1, - "training_delay_enabled": "True", + "training_delay_enabled": "False", "training_delay_factor": "10", "training_delay_s": "5.0", "avl_events_mobiperf_3st_50": "[(0, 'AVL_TRAIN'), (300, 'UN_AVL'), (2433, 'AVL_TRAIN'), (2538, 'UN_AVL'), (2541, 'AVL_TRAIN'), (3397, 'UN_AVL'), (5926, 'AVL_TRAIN'), (5933, 'UN_AVL'), (6238, 'AVL_TRAIN'), (6242, 'UN_AVL'), (7160, 'AVL_TRAIN'), (7292, 'UN_AVL'), (7293, 'AVL_TRAIN'), (7756, 'UN_AVL'), (7913, 'AVL_TRAIN'), (7963, 'UN_AVL'), (15887, 'AVL_TRAIN'), (16051, 'UN_AVL'), (16051, 'AVL_TRAIN'), (16339, 'UN_AVL'), (16355, 'AVL_TRAIN'), (18494, 'UN_AVL'), (23642, 'AVL_TRAIN'), (25060, 'UN_AVL'), (57809, 'AVL_TRAIN'), (69589, 'AVL_EVAL'), (84170, 'UN_AVL'), (94728, 'AVL_TRAIN'), (94852, 'UN_AVL'), (94858, 'AVL_TRAIN'), (95138, 'UN_AVL'), (95140, 'AVL_TRAIN'), (95142, 'UN_AVL'), (95143, 'AVL_TRAIN'), (95586, 'UN_AVL'), (95708, 'AVL_TRAIN'), (95996, 'UN_AVL'), (102176, 'AVL_TRAIN'), (105610, 'UN_AVL'), (105611, 'AVL_TRAIN'), (105621, 'UN_AVL'), (154917, 'AVL_TRAIN'), (155584, 'UN_AVL'), (155657, 'AVL_TRAIN'), (155862, 'UN_AVL'), (155867, 'AVL_TRAIN'), (155964, 'UN_AVL'), (156143, 'AVL_TRAIN'), (156325, 'UN_AVL'), (156416, 'AVL_TRAIN'), (156573, 'UN_AVL'), (164806, 'AVL_TRAIN'), (164827, 'UN_AVL'), (164830, 'AVL_TRAIN'), (165126, 'UN_AVL'), (165128, 'AVL_TRAIN'), (165415, 'UN_AVL'), (165552, 'AVL_TRAIN'), (165777, 'UN_AVL'), (165789, 'AVL_TRAIN'), (165884, 'UN_AVL'), (165910, 'AVL_TRAIN'), (165952, 'UN_AVL'), (166130, 'AVL_TRAIN'), (174707, 'AVL_EVAL'), (193044, 'UN_AVL'), (239865, 'AVL_TRAIN'), (242180, 'UN_AVL'), (272160, 'AVL_EVAL'), (284271, 'UN_AVL'), (328468, 'AVL_TRAIN'), (328723, 'UN_AVL'), (337958, 'AVL_TRAIN'), (340778, 'AVL_EVAL'), (355205, 'UN_AVL'), (415141, 'AVL_TRAIN'), (415221, 'UN_AVL'), (415614, 'AVL_TRAIN'), (415748, 'UN_AVL'), (415751, 'AVL_TRAIN'), (416712, 'UN_AVL'), (416716, 'AVL_TRAIN'), (416788, 'UN_AVL'), (416844, 'AVL_TRAIN'), (417041, 'UN_AVL'), (424386, 'AVL_TRAIN'), (424447, 'UN_AVL'), (424714, 'AVL_TRAIN'), (424813, 'UN_AVL'), (424816, 'AVL_TRAIN'), (424820, 'UN_AVL'), (424826, 'AVL_TRAIN'), (427995, 'AVL_EVAL'), (433723, 'UN_AVL')]", diff --git a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_7.json b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_7.json index 72e33c13f..b0aed84ee 100644 --- a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_7.json +++ b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_7.json @@ -81,7 +81,7 @@ "manual_seed": 42, "client_num_in_total": 0, "warmup_ratio": 1, - "training_delay_enabled": "True", + "training_delay_enabled": "False", "training_delay_factor": "10", "training_delay_s": "17.0", "avl_events_mobiperf_3st_50": "[(0, 'AVL_TRAIN'), (300, 'UN_AVL'), (9017, 'AVL_TRAIN'), (10786, 'UN_AVL'), (14358, 'AVL_TRAIN'), (14497, 'UN_AVL'), (15051, 'AVL_TRAIN'), (39546, 'AVL_EVAL'), (69769, 'UN_AVL'), (71100, 'AVL_TRAIN'), (71461, 'UN_AVL'), (72508, 'AVL_TRAIN'), (73125, 'UN_AVL'), (89429, 'AVL_TRAIN'), (92099, 'UN_AVL'), (104353, 'AVL_TRAIN'), (108068, 'AVL_EVAL'), (110934, 'AVL_TRAIN'), (126070, 'AVL_EVAL'), (156083, 'UN_AVL'), (157916, 'AVL_TRAIN'), (158306, 'UN_AVL'), (159842, 'AVL_TRAIN'), (168937, 'AVL_EVAL'), (174212, 'AVL_TRAIN'), (175455, 'AVL_EVAL'), (191782, 'UN_AVL'), (191803, 'AVL_TRAIN'), (196476, 'AVL_EVAL'), (234781, 'UN_AVL'), (234850, 'AVL_TRAIN'), (235355, 'AVL_EVAL'), (236615, 'UN_AVL'), (240706, 'AVL_TRAIN'), (247139, 'UN_AVL'), (252813, 'AVL_TRAIN'), (257593, 'AVL_EVAL'), (262126, 'AVL_TRAIN'), (264532, 'AVL_EVAL'), (277505, 'UN_AVL'), (282323, 'AVL_TRAIN'), (303309, 'AVL_EVAL'), (303309, 'AVL_TRAIN'), (303679, 'AVL_EVAL'), (319626, 'UN_AVL'), (324393, 'AVL_TRAIN'), (328549, 'AVL_EVAL'), (340152, 'UN_AVL'), (340177, 'AVL_TRAIN'), (343587, 'AVL_EVAL'), (358011, 'UN_AVL'), (361739, 'AVL_TRAIN'), (387847, 'AVL_EVAL'), (408233, 'UN_AVL'), (420993, 'AVL_TRAIN'), (425646, 'AVL_EVAL'), (433732, 'AVL_TRAIN'), (439485, 'AVL_EVAL'), (449059, 'AVL_TRAIN'), (471126, 'AVL_EVAL'), (494215, 'UN_AVL'), (504610, 'AVL_TRAIN'), (507970, 'UN_AVL')]", diff --git a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_70.json b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_70.json index c4393e22a..a4768a951 100644 --- a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_70.json +++ b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_70.json @@ -81,7 +81,7 @@ "manual_seed": 42, "client_num_in_total": 0, "warmup_ratio": 1, - "training_delay_enabled": "True", + "training_delay_enabled": "False", "training_delay_factor": "10", "training_delay_s": "5.0", "avl_events_mobiperf_3st_50": "[(0, 'AVL_TRAIN'), (300, 'UN_AVL'), (50410, 'AVL_EVAL'), (50410, 'AVL_TRAIN'), (66090, 'AVL_EVAL'), (75333, 'UN_AVL'), (75388, 'AVL_TRAIN'), (81658, 'AVL_EVAL'), (84310, 'UN_AVL'), (84310, 'AVL_TRAIN'), (85129, 'UN_AVL'), (85141, 'AVL_TRAIN'), (85143, 'UN_AVL'), (85153, 'AVL_TRAIN'), (86021, 'UN_AVL'), (86262, 'AVL_TRAIN'), (86321, 'UN_AVL'), (86326, 'AVL_TRAIN'), (92968, 'AVL_EVAL'), (93245, 'AVL_TRAIN'), (118423, 'AVL_EVAL'), (132245, 'UN_AVL'), (132245, 'AVL_TRAIN'), (132270, 'UN_AVL'), (132285, 'AVL_TRAIN'), (132337, 'UN_AVL'), (132343, 'AVL_TRAIN'), (136804, 'AVL_EVAL')]", diff --git a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_71.json b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_71.json index 5474e7652..6dc2c867e 100644 --- a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_71.json +++ b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_71.json @@ -81,7 +81,7 @@ "manual_seed": 42, "client_num_in_total": 0, "warmup_ratio": 1, - "training_delay_enabled": "True", + "training_delay_enabled": "False", "training_delay_factor": "10", "training_delay_s": "4.0", "avl_events_mobiperf_3st_50": "[(0, 'AVL_TRAIN'), (300, 'UN_AVL'), (308981, 'AVL_EVAL'), (399404, 'UN_AVL'), (442854, 'AVL_TRAIN'), (467716, 'AVL_EVAL'), (481639, 'UN_AVL')]", diff --git a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_72.json b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_72.json index 8d034696c..0d4887bfc 100644 --- a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_72.json +++ b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_72.json @@ -81,7 +81,7 @@ "manual_seed": 42, "client_num_in_total": 0, "warmup_ratio": 1, - "training_delay_enabled": "True", + "training_delay_enabled": "False", "training_delay_factor": "10", "training_delay_s": "21.0", "avl_events_mobiperf_3st_50": "[(0, 'AVL_TRAIN'), (300, 'UN_AVL'), (8561, 'AVL_TRAIN'), (19861, 'AVL_EVAL'), (78969, 'UN_AVL'), (80833, 'AVL_TRAIN'), (81031, 'UN_AVL'), (81742, 'AVL_TRAIN'), (82207, 'UN_AVL'), (82250, 'AVL_TRAIN'), (82275, 'UN_AVL'), (82373, 'AVL_TRAIN'), (82425, 'UN_AVL'), (83496, 'AVL_TRAIN'), (89906, 'AVL_EVAL'), (103880, 'UN_AVL'), (107486, 'AVL_TRAIN'), (110334, 'UN_AVL'), (110376, 'AVL_TRAIN'), (117548, 'AVL_EVAL'), (127100, 'AVL_TRAIN'), (127895, 'AVL_EVAL'), (133304, 'AVL_TRAIN'), (134016, 'AVL_EVAL'), (183763, 'UN_AVL'), (192155, 'AVL_TRAIN'), (192454, 'UN_AVL'), (192509, 'AVL_TRAIN'), (199060, 'UN_AVL'), (199073, 'AVL_TRAIN'), (199291, 'AVL_EVAL'), (199791, 'AVL_TRAIN'), (208187, 'AVL_EVAL'), (217367, 'AVL_TRAIN'), (217824, 'AVL_EVAL'), (258342, 'UN_AVL')]", diff --git a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_73.json b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_73.json index 8e85b6ed7..ec00d4adc 100644 --- a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_73.json +++ b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_73.json @@ -81,7 +81,7 @@ "manual_seed": 42, "client_num_in_total": 0, "warmup_ratio": 1, - "training_delay_enabled": "True", + "training_delay_enabled": "False", "training_delay_factor": "10", "training_delay_s": "2.0", "avl_events_mobiperf_3st_50": "[(0, 'AVL_TRAIN'), (300, 'UN_AVL'), (4259, 'AVL_EVAL'), (7182, 'UN_AVL'), (12991, 'AVL_TRAIN'), (14582, 'UN_AVL'), (14638, 'AVL_TRAIN'), (16153, 'UN_AVL'), (56977, 'AVL_EVAL'), (70494, 'UN_AVL'), (74795, 'AVL_TRAIN'), (79828, 'AVL_EVAL'), (82304, 'UN_AVL'), (93453, 'AVL_TRAIN'), (99718, 'AVL_EVAL'), (100804, 'AVL_TRAIN'), (104214, 'AVL_EVAL'), (138593, 'UN_AVL'), (146604, 'AVL_TRAIN'), (147102, 'UN_AVL'), (147150, 'AVL_TRAIN'), (147482, 'UN_AVL'), (148633, 'AVL_TRAIN'), (149522, 'UN_AVL'), (149524, 'AVL_TRAIN'), (149563, 'UN_AVL'), (149586, 'AVL_TRAIN'), (149589, 'UN_AVL'), (149593, 'AVL_TRAIN'), (149595, 'UN_AVL'), (149609, 'AVL_TRAIN'), (149612, 'UN_AVL'), (149618, 'AVL_TRAIN'), (149636, 'UN_AVL'), (149640, 'AVL_TRAIN'), (150675, 'UN_AVL'), (153678, 'AVL_TRAIN'), (154402, 'UN_AVL'), (154404, 'AVL_TRAIN'), (154409, 'UN_AVL'), (154412, 'AVL_TRAIN'), (154998, 'UN_AVL'), (155000, 'AVL_TRAIN'), (156289, 'UN_AVL'), (173844, 'AVL_TRAIN'), (175880, 'UN_AVL'), (176942, 'AVL_TRAIN'), (181304, 'AVL_EVAL'), (195443, 'UN_AVL'), (218330, 'AVL_TRAIN'), (218713, 'UN_AVL'), (218721, 'AVL_TRAIN'), (221952, 'UN_AVL'), (224086, 'AVL_TRAIN'), (224766, 'UN_AVL'), (224774, 'AVL_TRAIN'), (225304, 'UN_AVL'), (226234, 'AVL_TRAIN'), (229219, 'AVL_EVAL'), (229230, 'AVL_TRAIN'), (231075, 'AVL_EVAL'), (245140, 'UN_AVL'), (261751, 'AVL_TRAIN'), (262150, 'UN_AVL'), (262239, 'AVL_TRAIN'), (262346, 'UN_AVL'), (263991, 'AVL_TRAIN'), (268340, 'AVL_EVAL'), (275106, 'UN_AVL'), (276707, 'AVL_TRAIN'), (279266, 'AVL_EVAL'), (285905, 'UN_AVL'), (311931, 'AVL_TRAIN'), (317297, 'AVL_EVAL'), (341684, 'UN_AVL'), (342808, 'AVL_TRAIN'), (349589, 'AVL_EVAL'), (349600, 'AVL_TRAIN'), (349675, 'AVL_EVAL'), (349683, 'AVL_TRAIN'), (353205, 'AVL_EVAL'), (389852, 'AVL_TRAIN'), (392766, 'AVL_EVAL'), (408842, 'AVL_TRAIN'), (408872, 'AVL_EVAL'), (427944, 'UN_AVL'), (441856, 'AVL_TRAIN'), (441858, 'UN_AVL'), (441858, 'AVL_TRAIN'), (441859, 'UN_AVL'), (441863, 'AVL_TRAIN'), (441865, 'UN_AVL'), (441882, 'AVL_TRAIN'), (442310, 'UN_AVL'), (442490, 'AVL_TRAIN'), (443176, 'UN_AVL'), (443240, 'AVL_TRAIN'), (446981, 'AVL_EVAL'), (447654, 'AVL_TRAIN'), (448492, 'AVL_EVAL'), (449952, 'AVL_TRAIN'), (463961, 'AVL_EVAL'), (520659, 'AVL_TRAIN'), (521981, 'UN_AVL')]", diff --git a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_74.json b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_74.json index edb2caec7..a6bae03d1 100644 --- a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_74.json +++ b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_74.json @@ -81,7 +81,7 @@ "manual_seed": 42, "client_num_in_total": 0, "warmup_ratio": 1, - "training_delay_enabled": "True", + "training_delay_enabled": "False", "training_delay_factor": "10", "training_delay_s": "28.0", "avl_events_mobiperf_3st_50": "[(0, 'AVL_TRAIN'), (300, 'UN_AVL'), (12226, 'AVL_EVAL'), (12226, 'AVL_TRAIN'), (40734, 'AVL_EVAL'), (100070, 'AVL_TRAIN'), (100072, 'AVL_EVAL'), (100075, 'AVL_TRAIN'), (171837, 'AVL_EVAL'), (185258, 'UN_AVL'), (188439, 'AVL_TRAIN'), (191808, 'AVL_EVAL'), (191809, 'AVL_TRAIN'), (219987, 'AVL_EVAL'), (246401, 'UN_AVL'), (275732, 'AVL_TRAIN'), (304045, 'AVL_EVAL'), (304047, 'AVL_TRAIN'), (304070, 'AVL_EVAL'), (346345, 'UN_AVL'), (357902, 'AVL_TRAIN'), (386596, 'AVL_EVAL'), (443162, 'AVL_TRAIN'), (443338, 'AVL_EVAL'), (443339, 'AVL_TRAIN'), (472050, 'AVL_EVAL'), (518392, 'UN_AVL')]", diff --git a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_75.json b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_75.json index 163d0529b..b61074519 100644 --- a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_75.json +++ b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_75.json @@ -81,7 +81,7 @@ "manual_seed": 42, "client_num_in_total": 0, "warmup_ratio": 1, - "training_delay_enabled": "True", + "training_delay_enabled": "False", "training_delay_factor": "10", "training_delay_s": "3.0", "avl_events_mobiperf_3st_50": "[(0, 'AVL_TRAIN'), (300, 'UN_AVL'), (439413, 'AVL_EVAL'), (473162, 'AVL_TRAIN'), (473897, 'AVL_EVAL'), (489337, 'AVL_TRAIN'), (496640, 'AVL_EVAL'), (519819, 'UN_AVL')]", diff --git a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_76.json b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_76.json index 6694ad191..323768598 100644 --- a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_76.json +++ b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_76.json @@ -81,7 +81,7 @@ "manual_seed": 42, "client_num_in_total": 0, "warmup_ratio": 1, - "training_delay_enabled": "True", + "training_delay_enabled": "False", "training_delay_factor": "10", "training_delay_s": "10.0", "avl_events_mobiperf_3st_50": "[(0, 'AVL_TRAIN'), (300, 'UN_AVL'), (11928, 'AVL_EVAL'), (12117, 'AVL_TRAIN'), (41441, 'AVL_EVAL'), (42805, 'AVL_TRAIN'), (69465, 'AVL_EVAL'), (88191, 'AVL_TRAIN'), (88496, 'AVL_EVAL'), (97203, 'UN_AVL'), (98146, 'AVL_TRAIN'), (150871, 'AVL_EVAL'), (154175, 'AVL_TRAIN'), (158699, 'AVL_EVAL'), (165936, 'AVL_TRAIN'), (166258, 'AVL_EVAL'), (170503, 'AVL_TRAIN'), (175275, 'AVL_EVAL'), (175281, 'AVL_TRAIN'), (176749, 'AVL_EVAL'), (176753, 'AVL_TRAIN'), (177234, 'AVL_EVAL'), (177238, 'AVL_TRAIN'), (177263, 'AVL_EVAL'), (178999, 'AVL_TRAIN'), (179547, 'AVL_EVAL'), (179551, 'AVL_TRAIN'), (179583, 'AVL_EVAL'), (181830, 'AVL_TRAIN'), (182652, 'AVL_EVAL'), (185216, 'AVL_TRAIN'), (215337, 'AVL_EVAL'), (217255, 'AVL_TRAIN'), (238225, 'AVL_EVAL'), (238473, 'AVL_TRAIN'), (242686, 'AVL_EVAL'), (248275, 'AVL_TRAIN'), (251347, 'AVL_EVAL'), (251349, 'AVL_TRAIN'), (251828, 'AVL_EVAL'), (252137, 'AVL_TRAIN'), (253481, 'AVL_EVAL'), (255751, 'AVL_TRAIN'), (256163, 'AVL_EVAL'), (256416, 'AVL_TRAIN'), (258992, 'AVL_EVAL'), (265627, 'AVL_TRAIN'), (266353, 'AVL_EVAL'), (266949, 'AVL_TRAIN'), (267908, 'AVL_EVAL'), (274429, 'AVL_TRAIN'), (300850, 'AVL_EVAL'), (305134, 'AVL_TRAIN'), (310740, 'AVL_EVAL'), (344505, 'AVL_TRAIN'), (347376, 'AVL_EVAL'), (347382, 'AVL_TRAIN'), (347468, 'AVL_EVAL'), (388096, 'AVL_TRAIN'), (414073, 'AVL_EVAL'), (414075, 'AVL_TRAIN'), (414736, 'AVL_EVAL'), (414739, 'AVL_TRAIN'), (414782, 'AVL_EVAL'), (414785, 'AVL_TRAIN'), (414888, 'AVL_EVAL'), (419963, 'AVL_TRAIN'), (434318, 'AVL_EVAL'), (434321, 'AVL_TRAIN'), (434509, 'AVL_EVAL'), (434512, 'AVL_TRAIN'), (434854, 'AVL_EVAL'), (438318, 'AVL_TRAIN'), (438966, 'AVL_EVAL'), (444248, 'AVL_TRAIN'), (502393, 'AVL_EVAL'), (506396, 'AVL_TRAIN'), (508566, 'AVL_EVAL'), (508589, 'AVL_TRAIN'), (509615, 'AVL_EVAL'), (509621, 'AVL_TRAIN'), (509809, 'AVL_EVAL'), (512986, 'AVL_TRAIN'), (512998, 'AVL_EVAL'), (513000, 'AVL_TRAIN'), (521212, 'UN_AVL'), (521212, 'AVL_TRAIN'), (521222, 'UN_AVL')]", diff --git a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_77.json b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_77.json index f919cfc9c..c568cee28 100644 --- a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_77.json +++ b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_77.json @@ -81,7 +81,7 @@ "manual_seed": 42, "client_num_in_total": 0, "warmup_ratio": 1, - "training_delay_enabled": "True", + "training_delay_enabled": "False", "training_delay_factor": "10", "training_delay_s": "22.0", "avl_events_mobiperf_3st_50": "[(0, 'AVL_TRAIN'), (300, 'UN_AVL'), (2036, 'AVL_EVAL'), (11139, 'UN_AVL'), (76199, 'AVL_EVAL'), (184202, 'UN_AVL'), (240470, 'AVL_EVAL'), (253362, 'UN_AVL'), (263719, 'AVL_EVAL'), (271057, 'UN_AVL'), (303005, 'AVL_EVAL'), (331814, 'UN_AVL'), (331883, 'AVL_TRAIN'), (334717, 'AVL_EVAL'), (341421, 'AVL_TRAIN'), (346928, 'AVL_EVAL'), (433575, 'AVL_TRAIN'), (436123, 'AVL_EVAL'), (442725, 'UN_AVL'), (507619, 'AVL_EVAL'), (515613, 'UN_AVL')]", diff --git a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_78.json b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_78.json index 276e50846..4e2d3fb42 100644 --- a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_78.json +++ b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_78.json @@ -81,7 +81,7 @@ "manual_seed": 42, "client_num_in_total": 0, "warmup_ratio": 1, - "training_delay_enabled": "True", + "training_delay_enabled": "False", "training_delay_factor": "10", "training_delay_s": "16.0", "avl_events_mobiperf_3st_50": "[(0, 'AVL_TRAIN'), (300, 'UN_AVL'), (44164, 'AVL_EVAL'), (90304, 'UN_AVL'), (96884, 'AVL_TRAIN'), (98971, 'UN_AVL'), (130475, 'AVL_EVAL'), (167431, 'UN_AVL'), (167431, 'AVL_TRAIN'), (167678, 'UN_AVL'), (171239, 'AVL_TRAIN'), (171400, 'UN_AVL'), (172833, 'AVL_TRAIN'), (173172, 'UN_AVL'), (173201, 'AVL_TRAIN'), (174950, 'UN_AVL'), (175335, 'AVL_TRAIN'), (175629, 'UN_AVL'), (176175, 'AVL_TRAIN'), (176523, 'UN_AVL'), (176668, 'AVL_TRAIN'), (178740, 'UN_AVL'), (184069, 'AVL_TRAIN'), (184413, 'UN_AVL'), (185527, 'AVL_TRAIN'), (186520, 'UN_AVL'), (187596, 'AVL_TRAIN'), (220551, 'AVL_EVAL'), (233370, 'UN_AVL'), (244488, 'AVL_TRAIN'), (248833, 'UN_AVL'), (251473, 'AVL_TRAIN'), (253971, 'UN_AVL'), (256740, 'AVL_TRAIN'), (258141, 'UN_AVL'), (259484, 'AVL_TRAIN'), (261278, 'UN_AVL'), (263356, 'AVL_TRAIN'), (263359, 'UN_AVL'), (263359, 'AVL_TRAIN'), (265718, 'UN_AVL'), (267168, 'AVL_TRAIN'), (267756, 'UN_AVL'), (269384, 'AVL_TRAIN'), (271163, 'UN_AVL'), (273601, 'AVL_TRAIN'), (274511, 'UN_AVL'), (274705, 'AVL_TRAIN'), (275534, 'UN_AVL'), (276357, 'AVL_TRAIN'), (276795, 'UN_AVL'), (278899, 'AVL_TRAIN'), (311690, 'AVL_EVAL'), (325339, 'UN_AVL'), (339269, 'AVL_TRAIN'), (340790, 'UN_AVL'), (342223, 'AVL_TRAIN'), (342943, 'UN_AVL'), (342948, 'AVL_TRAIN'), (342966, 'UN_AVL'), (344336, 'AVL_TRAIN'), (347885, 'UN_AVL'), (353922, 'AVL_TRAIN'), (356245, 'UN_AVL'), (359401, 'AVL_TRAIN'), (359402, 'UN_AVL'), (391875, 'AVL_TRAIN'), (421919, 'AVL_EVAL'), (441449, 'UN_AVL'), (476153, 'AVL_EVAL'), (523897, 'UN_AVL')]", diff --git a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_79.json b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_79.json index 7f044ddaf..c38728549 100644 --- a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_79.json +++ b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_79.json @@ -81,7 +81,7 @@ "manual_seed": 42, "client_num_in_total": 0, "warmup_ratio": 1, - "training_delay_enabled": "True", + "training_delay_enabled": "False", "training_delay_factor": "10", "training_delay_s": "5.0", "avl_events_mobiperf_3st_50": "[(0, 'AVL_TRAIN'), (300, 'AVL_TRAIN'), (4067, 'UN_AVL'), (4094, 'AVL_TRAIN'), (4102, 'UN_AVL'), (4106, 'AVL_TRAIN'), (4107, 'UN_AVL'), (4116, 'AVL_TRAIN'), (6690, 'UN_AVL'), (6692, 'AVL_TRAIN'), (9136, 'AVL_EVAL'), (9243, 'AVL_TRAIN'), (10252, 'AVL_EVAL'), (15088, 'UN_AVL'), (15088, 'AVL_TRAIN'), (39618, 'AVL_EVAL'), (75536, 'UN_AVL'), (81416, 'AVL_TRAIN'), (85218, 'UN_AVL'), (93701, 'AVL_TRAIN'), (93702, 'UN_AVL'), (93706, 'AVL_TRAIN'), (93712, 'UN_AVL'), (93712, 'AVL_TRAIN'), (93714, 'UN_AVL'), (93735, 'AVL_TRAIN'), (99705, 'AVL_EVAL'), (132400, 'UN_AVL'), (158713, 'AVL_TRAIN'), (158755, 'UN_AVL'), (159663, 'AVL_TRAIN'), (159664, 'UN_AVL'), (159976, 'AVL_TRAIN'), (164180, 'UN_AVL'), (172831, 'AVL_TRAIN'), (172832, 'UN_AVL'), (172840, 'AVL_TRAIN'), (193260, 'AVL_EVAL'), (251459, 'UN_AVL'), (251465, 'AVL_TRAIN'), (253057, 'UN_AVL'), (276460, 'AVL_EVAL'), (283530, 'UN_AVL'), (283984, 'AVL_TRAIN'), (309208, 'AVL_EVAL'), (354820, 'UN_AVL'), (362391, 'AVL_TRAIN'), (362392, 'UN_AVL'), (362393, 'AVL_TRAIN'), (362402, 'UN_AVL'), (362402, 'AVL_TRAIN'), (362411, 'UN_AVL'), (362537, 'AVL_TRAIN'), (385238, 'AVL_EVAL'), (385239, 'AVL_TRAIN'), (385253, 'AVL_EVAL'), (385255, 'AVL_TRAIN'), (385256, 'AVL_EVAL')]", diff --git a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_8.json b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_8.json index ceda87c67..152cc8162 100644 --- a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_8.json +++ b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_8.json @@ -81,7 +81,7 @@ "manual_seed": 42, "client_num_in_total": 0, "warmup_ratio": 1, - "training_delay_enabled": "True", + "training_delay_enabled": "False", "training_delay_factor": "10", "training_delay_s": "13.0", "avl_events_mobiperf_3st_50": "[(0, 'AVL_TRAIN'), (300, 'UN_AVL'), (14086, 'AVL_TRAIN'), (28419, 'AVL_EVAL'), (49568, 'UN_AVL'), (49629, 'AVL_TRAIN'), (52427, 'AVL_EVAL'), (58025, 'UN_AVL'), (65611, 'AVL_TRAIN'), (79774, 'AVL_EVAL'), (83313, 'AVL_TRAIN'), (83321, 'AVL_EVAL'), (83728, 'AVL_TRAIN'), (95271, 'AVL_EVAL'), (101892, 'UN_AVL'), (101892, 'AVL_TRAIN'), (102501, 'AVL_EVAL'), (102502, 'AVL_TRAIN'), (102508, 'AVL_EVAL'), (102509, 'AVL_TRAIN'), (104568, 'AVL_EVAL'), (104594, 'AVL_TRAIN'), (107007, 'AVL_EVAL'), (109057, 'UN_AVL'), (123025, 'AVL_TRAIN'), (126123, 'UN_AVL'), (126151, 'AVL_TRAIN'), (131671, 'UN_AVL'), (133452, 'AVL_TRAIN'), (135169, 'UN_AVL'), (135207, 'AVL_TRAIN'), (136408, 'UN_AVL'), (136411, 'AVL_TRAIN'), (140912, 'AVL_EVAL'), (144921, 'UN_AVL'), (147794, 'AVL_TRAIN'), (158779, 'AVL_EVAL'), (159844, 'AVL_TRAIN'), (161852, 'AVL_EVAL'), (162997, 'AVL_TRAIN'), (169542, 'AVL_EVAL'), (169594, 'AVL_TRAIN'), (173040, 'AVL_EVAL'), (179280, 'UN_AVL'), (179280, 'AVL_TRAIN'), (184709, 'AVL_EVAL'), (184733, 'AVL_TRAIN'), (217008, 'AVL_EVAL'), (236496, 'UN_AVL'), (238720, 'AVL_TRAIN'), (241991, 'UN_AVL'), (242634, 'AVL_TRAIN'), (242664, 'UN_AVL'), (242677, 'AVL_TRAIN'), (247133, 'UN_AVL'), (247136, 'AVL_TRAIN'), (253504, 'UN_AVL'), (254584, 'AVL_TRAIN'), (255913, 'UN_AVL'), (257698, 'AVL_TRAIN'), (258798, 'UN_AVL'), (258815, 'AVL_TRAIN'), (261988, 'UN_AVL'), (264706, 'AVL_TRAIN'), (274712, 'UN_AVL'), (276514, 'AVL_TRAIN'), (289007, 'AVL_EVAL'), (292214, 'AVL_TRAIN'), (305171, 'AVL_EVAL'), (308278, 'AVL_TRAIN'), (311550, 'AVL_EVAL'), (324195, 'AVL_TRAIN'), (327485, 'AVL_EVAL'), (329116, 'AVL_TRAIN'), (333701, 'AVL_EVAL'), (362870, 'UN_AVL'), (366125, 'AVL_TRAIN'), (389628, 'AVL_EVAL'), (410139, 'UN_AVL'), (416056, 'AVL_TRAIN'), (422013, 'UN_AVL'), (424168, 'AVL_TRAIN'), (427102, 'UN_AVL'), (430244, 'AVL_TRAIN'), (437747, 'AVL_EVAL'), (441228, 'UN_AVL'), (445549, 'AVL_TRAIN'), (476355, 'AVL_EVAL'), (477020, 'AVL_TRAIN'), (477191, 'AVL_EVAL'), (478691, 'AVL_TRAIN'), (479336, 'AVL_EVAL'), (479796, 'AVL_TRAIN'), (487185, 'AVL_EVAL'), (505708, 'UN_AVL'), (505708, 'AVL_TRAIN'), (511633, 'AVL_EVAL'), (513723, 'UN_AVL'), (513723, 'AVL_TRAIN'), (515049, 'UN_AVL'), (515120, 'AVL_TRAIN'), (523045, 'AVL_EVAL'), (529118, 'UN_AVL'), (532010, 'AVL_TRAIN')]", diff --git a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_80.json b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_80.json index b17b4dd36..a5de2317a 100644 --- a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_80.json +++ b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_80.json @@ -81,7 +81,7 @@ "manual_seed": 42, "client_num_in_total": 0, "warmup_ratio": 1, - "training_delay_enabled": "True", + "training_delay_enabled": "False", "training_delay_factor": "10", "training_delay_s": "22.0", "avl_events_mobiperf_3st_50": "[(0, 'AVL_TRAIN'), (300, 'AVL_EVAL'), (23275, 'UN_AVL'), (91670, 'AVL_TRAIN'), (93509, 'AVL_EVAL'), (94662, 'AVL_TRAIN'), (102922, 'AVL_EVAL'), (161177, 'UN_AVL')]", diff --git a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_81.json b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_81.json index 466aa7756..d436691cb 100644 --- a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_81.json +++ b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_81.json @@ -81,7 +81,7 @@ "manual_seed": 42, "client_num_in_total": 0, "warmup_ratio": 1, - "training_delay_enabled": "True", + "training_delay_enabled": "False", "training_delay_factor": "10", "training_delay_s": "9.0", "avl_events_mobiperf_3st_50": "[(0, 'AVL_TRAIN'), (300, 'AVL_TRAIN'), (1875, 'UN_AVL'), (6737, 'AVL_TRAIN'), (15570, 'AVL_EVAL'), (64624, 'UN_AVL'), (135079, 'AVL_TRAIN'), (148341, 'AVL_EVAL'), (221763, 'UN_AVL')]", diff --git a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_82.json b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_82.json index cc4ca4a14..daead5817 100644 --- a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_82.json +++ b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_82.json @@ -81,7 +81,7 @@ "manual_seed": 42, "client_num_in_total": 0, "warmup_ratio": 1, - "training_delay_enabled": "True", + "training_delay_enabled": "False", "training_delay_factor": "10", "training_delay_s": "18.0", "avl_events_mobiperf_3st_50": "[(0, 'AVL_TRAIN'), (300, 'AVL_TRAIN'), (4125, 'AVL_EVAL'), (16119, 'UN_AVL'), (17583, 'AVL_TRAIN'), (54386, 'AVL_EVAL'), (76257, 'UN_AVL')]", diff --git a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_83.json b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_83.json index ef922db95..4b3395393 100644 --- a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_83.json +++ b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_83.json @@ -81,7 +81,7 @@ "manual_seed": 42, "client_num_in_total": 0, "warmup_ratio": 1, - "training_delay_enabled": "True", + "training_delay_enabled": "False", "training_delay_factor": "10", "training_delay_s": "14.0", "avl_events_mobiperf_3st_50": "[(0, 'AVL_TRAIN'), (300, 'AVL_EVAL'), (55781, 'UN_AVL'), (68421, 'AVL_TRAIN'), (68587, 'UN_AVL'), (68622, 'AVL_TRAIN'), (69004, 'UN_AVL'), (69007, 'AVL_TRAIN'), (70122, 'UN_AVL'), (70123, 'AVL_TRAIN'), (70125, 'UN_AVL'), (70261, 'AVL_TRAIN'), (71894, 'AVL_EVAL'), (72008, 'AVL_TRAIN'), (73289, 'AVL_EVAL'), (73294, 'AVL_TRAIN'), (75267, 'AVL_EVAL'), (75267, 'AVL_TRAIN'), (75274, 'AVL_EVAL'), (80560, 'UN_AVL'), (81756, 'AVL_TRAIN'), (81763, 'UN_AVL'), (81764, 'AVL_TRAIN'), (81791, 'UN_AVL'), (84015, 'AVL_TRAIN'), (85329, 'AVL_EVAL'), (85599, 'AVL_TRAIN'), (85677, 'AVL_EVAL'), (88367, 'AVL_TRAIN'), (88651, 'AVL_EVAL'), (88656, 'AVL_TRAIN'), (88714, 'AVL_EVAL'), (88714, 'AVL_TRAIN'), (88715, 'AVL_EVAL'), (88715, 'AVL_TRAIN'), (88716, 'AVL_EVAL'), (88732, 'AVL_TRAIN'), (91239, 'AVL_EVAL'), (91295, 'AVL_TRAIN'), (91731, 'AVL_EVAL'), (91841, 'AVL_TRAIN'), (92198, 'AVL_EVAL'), (92198, 'AVL_TRAIN'), (92199, 'AVL_EVAL'), (92466, 'AVL_TRAIN'), (92726, 'AVL_EVAL'), (92748, 'AVL_TRAIN'), (92755, 'AVL_EVAL'), (92807, 'AVL_TRAIN'), (93307, 'AVL_EVAL'), (93316, 'AVL_TRAIN'), (93317, 'AVL_EVAL'), (93319, 'AVL_TRAIN'), (93320, 'AVL_EVAL'), (93366, 'AVL_TRAIN'), (93444, 'AVL_EVAL'), (175339, 'UN_AVL')]", diff --git a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_84.json b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_84.json index fd3173333..b408decbb 100644 --- a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_84.json +++ b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_84.json @@ -81,7 +81,7 @@ "manual_seed": 42, "client_num_in_total": 0, "warmup_ratio": 1, - "training_delay_enabled": "True", + "training_delay_enabled": "False", "training_delay_factor": "10", "training_delay_s": "27.0", "avl_events_mobiperf_3st_50": "[(0, 'AVL_TRAIN'), (300, 'UN_AVL'), (71298, 'AVL_EVAL'), (133850, 'AVL_TRAIN'), (142392, 'AVL_EVAL'), (174984, 'UN_AVL'), (188462, 'AVL_EVAL'), (229387, 'UN_AVL'), (325864, 'AVL_EVAL'), (336082, 'UN_AVL')]", diff --git a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_85.json b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_85.json index 5a67e36f2..fa100e6d4 100644 --- a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_85.json +++ b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_85.json @@ -81,7 +81,7 @@ "manual_seed": 42, "client_num_in_total": 0, "warmup_ratio": 1, - "training_delay_enabled": "True", + "training_delay_enabled": "False", "training_delay_factor": "10", "training_delay_s": "3.0", "avl_events_mobiperf_3st_50": "[(0, 'AVL_TRAIN'), (300, 'AVL_TRAIN'), (5931, 'AVL_EVAL'), (33832, 'UN_AVL'), (33938, 'AVL_TRAIN'), (45609, 'AVL_EVAL'), (96608, 'AVL_TRAIN'), (96683, 'AVL_EVAL'), (97202, 'UN_AVL'), (114801, 'AVL_TRAIN'), (124228, 'AVL_EVAL'), (152983, 'UN_AVL'), (158990, 'AVL_TRAIN'), (162087, 'AVL_EVAL'), (164619, 'UN_AVL'), (172261, 'AVL_TRAIN'), (175152, 'AVL_EVAL'), (176477, 'AVL_TRAIN'), (176478, 'AVL_EVAL'), (176481, 'AVL_TRAIN'), (180232, 'AVL_EVAL'), (180233, 'AVL_TRAIN'), (181693, 'AVL_EVAL'), (218874, 'UN_AVL'), (238498, 'AVL_TRAIN'), (239308, 'UN_AVL'), (239918, 'AVL_TRAIN'), (241708, 'UN_AVL'), (257321, 'AVL_TRAIN'), (261066, 'UN_AVL'), (266197, 'AVL_TRAIN'), (270056, 'AVL_EVAL'), (287535, 'UN_AVL'), (307665, 'AVL_TRAIN'), (308550, 'UN_AVL'), (308626, 'AVL_TRAIN'), (314453, 'AVL_EVAL'), (329978, 'UN_AVL'), (341202, 'AVL_TRAIN'), (341470, 'UN_AVL'), (341513, 'AVL_TRAIN'), (343459, 'AVL_EVAL'), (343460, 'AVL_TRAIN'), (343493, 'AVL_EVAL'), (343493, 'AVL_TRAIN'), (344083, 'AVL_EVAL'), (348174, 'UN_AVL'), (356056, 'AVL_TRAIN'), (357385, 'UN_AVL'), (371649, 'AVL_TRAIN'), (374287, 'UN_AVL'), (411109, 'AVL_TRAIN'), (413668, 'UN_AVL'), (414095, 'AVL_TRAIN'), (417763, 'AVL_EVAL'), (426534, 'UN_AVL'), (426540, 'AVL_TRAIN'), (428833, 'AVL_EVAL'), (432664, 'UN_AVL'), (451683, 'AVL_TRAIN'), (459575, 'AVL_EVAL'), (481788, 'UN_AVL'), (488430, 'AVL_TRAIN'), (490031, 'UN_AVL'), (490136, 'AVL_TRAIN'), (493219, 'AVL_EVAL'), (501176, 'UN_AVL')]", diff --git a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_86.json b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_86.json index 6e2abfbb2..564bde66a 100644 --- a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_86.json +++ b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_86.json @@ -81,7 +81,7 @@ "manual_seed": 42, "client_num_in_total": 0, "warmup_ratio": 1, - "training_delay_enabled": "True", + "training_delay_enabled": "False", "training_delay_factor": "10", "training_delay_s": "15.0", "avl_events_mobiperf_3st_50": "[(0, 'AVL_TRAIN'), (300, 'UN_AVL'), (10223, 'AVL_TRAIN'), (15412, 'UN_AVL'), (15439, 'AVL_TRAIN'), (38295, 'AVL_EVAL'), (38302, 'AVL_TRAIN'), (41547, 'AVL_EVAL'), (41561, 'AVL_TRAIN'), (41665, 'AVL_EVAL'), (52980, 'UN_AVL'), (58902, 'AVL_TRAIN'), (62479, 'UN_AVL'), (62912, 'AVL_TRAIN'), (65484, 'AVL_EVAL'), (67966, 'UN_AVL'), (73011, 'AVL_TRAIN'), 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b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_87.json @@ -81,7 +81,7 @@ "manual_seed": 42, "client_num_in_total": 0, "warmup_ratio": 1, - "training_delay_enabled": "True", + "training_delay_enabled": "False", "training_delay_factor": "10", "training_delay_s": "7.0", "avl_events_mobiperf_3st_50": "[(0, 'AVL_TRAIN'), (300, 'AVL_EVAL'), (3095, 'AVL_TRAIN'), (13962, 'AVL_EVAL'), (103312, 'UN_AVL'), (167439, 'AVL_TRAIN'), (172204, 'UN_AVL'), (172303, 'AVL_TRAIN'), (173399, 'UN_AVL')]", diff --git a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_88.json b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_88.json index 98b8c12b0..981422a89 100644 --- a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_88.json +++ b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_88.json @@ -81,7 +81,7 @@ "manual_seed": 42, "client_num_in_total": 0, "warmup_ratio": 1, - "training_delay_enabled": "True", + "training_delay_enabled": "False", "training_delay_factor": "10", "training_delay_s": "4.0", "avl_events_mobiperf_3st_50": "[(0, 'AVL_TRAIN'), (300, 'UN_AVL'), (1589, 'AVL_TRAIN'), (7008, 'AVL_EVAL'), (14643, 'UN_AVL'), (14643, 'AVL_TRAIN'), (17077, 'AVL_EVAL'), (19743, 'UN_AVL'), (31062, 'AVL_TRAIN'), (43867, 'AVL_EVAL'), (80395, 'UN_AVL'), (80395, 'AVL_TRAIN'), (83187, 'AVL_EVAL'), (83187, 'AVL_TRAIN'), (83197, 'AVL_EVAL'), (86611, 'UN_AVL'), (86973, 'AVL_TRAIN'), (93253, 'AVL_EVAL'), (112792, 'UN_AVL'), (152897, 'AVL_TRAIN'), (156954, 'UN_AVL'), (167128, 'AVL_TRAIN'), (175736, 'AVL_EVAL'), (188181, 'UN_AVL'), (199728, 'AVL_TRAIN'), (203608, 'UN_AVL'), (203644, 'AVL_TRAIN'), (220955, 'AVL_EVAL'), (249838, 'UN_AVL'), (249838, 'AVL_TRAIN'), (263806, 'AVL_EVAL'), (282206, 'UN_AVL'), (297126, 'AVL_TRAIN'), (314253, 'AVL_EVAL'), (343073, 'UN_AVL'), (348564, 'AVL_TRAIN'), (353133, 'AVL_EVAL'), (355061, 'UN_AVL')]", diff --git a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_89.json b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_89.json index 822c68580..596865c35 100644 --- a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_89.json +++ b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_89.json @@ -81,7 +81,7 @@ "manual_seed": 42, "client_num_in_total": 0, "warmup_ratio": 1, - "training_delay_enabled": "True", + "training_delay_enabled": "False", "training_delay_factor": "10", "training_delay_s": "10.0", "avl_events_mobiperf_3st_50": "[(0, 'AVL_TRAIN'), (300, 'UN_AVL'), (128246, 'AVL_EVAL'), (128246, 'AVL_TRAIN'), (133225, 'AVL_EVAL'), (133225, 'AVL_TRAIN'), (133227, 'AVL_EVAL'), (134131, 'AVL_TRAIN'), (134729, 'AVL_EVAL'), (134729, 'AVL_TRAIN'), (134803, 'AVL_EVAL'), (134803, 'AVL_TRAIN'), (134832, 'AVL_EVAL'), (134832, 'AVL_TRAIN'), (134994, 'AVL_EVAL'), (134995, 'AVL_TRAIN'), (135027, 'AVL_EVAL'), (135027, 'AVL_TRAIN'), (135028, 'AVL_EVAL'), (136042, 'AVL_TRAIN'), (136555, 'AVL_EVAL'), (139715, 'AVL_TRAIN'), (139823, 'AVL_EVAL'), (139982, 'AVL_TRAIN'), (139995, 'AVL_EVAL'), (141535, 'UN_AVL'), (141535, 'AVL_TRAIN'), (143991, 'AVL_EVAL'), (143991, 'AVL_TRAIN'), (146197, 'AVL_EVAL'), (151217, 'UN_AVL'), (151362, 'AVL_EVAL'), (151362, 'AVL_TRAIN'), (152118, 'AVL_EVAL'), (152118, 'AVL_TRAIN'), (157474, 'AVL_EVAL'), (167217, 'AVL_TRAIN'), (182917, 'AVL_EVAL'), (183273, 'AVL_TRAIN'), (183278, 'AVL_EVAL'), (198768, 'AVL_TRAIN'), (216668, 'AVL_EVAL'), (221269, 'AVL_TRAIN'), (225915, 'AVL_EVAL'), (230182, 'UN_AVL'), (230305, 'AVL_EVAL'), (230305, 'AVL_TRAIN'), (233655, 'AVL_EVAL'), (235888, 'AVL_TRAIN'), (237491, 'AVL_EVAL'), (239961, 'AVL_TRAIN'), (241331, 'AVL_EVAL'), (241331, 'AVL_TRAIN'), (247968, 'UN_AVL'), (247968, 'AVL_TRAIN'), (248563, 'UN_AVL'), (248563, 'AVL_TRAIN'), (260030, 'AVL_EVAL'), (265435, 'AVL_TRAIN'), (268837, 'AVL_EVAL'), (268837, 'AVL_TRAIN'), (269951, 'AVL_EVAL'), (269951, 'AVL_TRAIN'), (272345, 'AVL_EVAL'), (276611, 'AVL_TRAIN'), (276615, 'AVL_EVAL'), (276615, 'AVL_TRAIN'), (277148, 'AVL_EVAL'), (277577, 'AVL_TRAIN'), (280218, 'UN_AVL')]", diff --git a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_9.json b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_9.json index d7344ee9b..d64ba117d 100644 --- a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_9.json +++ b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_9.json @@ -81,7 +81,7 @@ "manual_seed": 42, "client_num_in_total": 0, "warmup_ratio": 1, - "training_delay_enabled": "True", + "training_delay_enabled": "False", "training_delay_factor": "10", "training_delay_s": "11.0", "avl_events_mobiperf_3st_50": "[(0, 'AVL_TRAIN'), (300, 'UN_AVL'), (326273, 'AVL_EVAL'), (326273, 'AVL_TRAIN'), (329091, 'AVL_EVAL'), (329102, 'AVL_TRAIN'), (329588, 'AVL_EVAL'), (329700, 'AVL_TRAIN'), (330714, 'AVL_EVAL'), (344675, 'UN_AVL'), (358401, 'AVL_TRAIN'), (362855, 'AVL_EVAL'), (405327, 'UN_AVL'), (415692, 'AVL_TRAIN'), (425692, 'AVL_EVAL'), (444766, 'UN_AVL'), (444815, 'AVL_TRAIN'), (446975, 'AVL_EVAL'), (486646, 'UN_AVL'), (488898, 'AVL_TRAIN'), (490736, 'UN_AVL')]", diff --git a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_90.json b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_90.json index c214f0b24..778571056 100644 --- a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_90.json +++ b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_90.json @@ -81,7 +81,7 @@ "manual_seed": 42, "client_num_in_total": 0, "warmup_ratio": 1, - "training_delay_enabled": "True", + "training_delay_enabled": "False", "training_delay_factor": "10", "training_delay_s": "38.0", "avl_events_mobiperf_3st_50": "[(0, 'AVL_TRAIN'), (300, 'AVL_EVAL'), (9333, 'UN_AVL'), (23356, 'AVL_TRAIN'), (23404, 'UN_AVL'), (42877, 'AVL_EVAL'), (157978, 'AVL_TRAIN'), (159000, 'AVL_EVAL'), (159000, 'AVL_TRAIN'), (159010, 'AVL_EVAL'), (159098, 'AVL_TRAIN'), (160795, 'AVL_EVAL'), (160838, 'AVL_TRAIN'), (161315, 'AVL_EVAL'), (196950, 'UN_AVL'), (223180, 'AVL_TRAIN'), (225134, 'UN_AVL'), (238509, 'AVL_TRAIN'), (244735, 'AVL_EVAL'), (263439, 'UN_AVL')]", diff --git a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_91.json b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_91.json index fce8dacc6..8fc12f7fa 100644 --- a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_91.json +++ b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_91.json @@ -81,7 +81,7 @@ "manual_seed": 42, "client_num_in_total": 0, "warmup_ratio": 1, - "training_delay_enabled": "True", + "training_delay_enabled": "False", "training_delay_factor": "10", "training_delay_s": "3.0", "avl_events_mobiperf_3st_50": "[(0, 'AVL_TRAIN'), (300, 'AVL_EVAL'), (1588, 'UN_AVL'), (34198, 'AVL_TRAIN'), (46611, 'AVL_EVAL'), (87990, 'UN_AVL'), (128949, 'AVL_TRAIN'), (129155, 'UN_AVL'), (129157, 'AVL_TRAIN'), (132593, 'AVL_EVAL'), (154209, 'UN_AVL'), (174627, 'AVL_TRAIN'), (175598, 'UN_AVL'), (216273, 'AVL_TRAIN'), (219936, 'AVL_EVAL'), (240188, 'UN_AVL'), (260088, 'AVL_TRAIN'), (264264, 'UN_AVL')]", diff --git a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_92.json b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_92.json index 578cac431..4b7aa2a57 100644 --- a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_92.json +++ b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_92.json @@ -81,7 +81,7 @@ "manual_seed": 42, "client_num_in_total": 0, "warmup_ratio": 1, - "training_delay_enabled": "True", + "training_delay_enabled": "False", "training_delay_factor": "10", "training_delay_s": "27.0", "avl_events_mobiperf_3st_50": "[(0, 'AVL_TRAIN'), (300, 'AVL_EVAL'), (3831, 'UN_AVL'), (9788, 'AVL_TRAIN'), (19691, 'AVL_EVAL'), (19699, 'AVL_TRAIN'), (20211, 'AVL_EVAL'), (27163, 'AVL_TRAIN'), (59744, 'AVL_EVAL'), (94856, 'UN_AVL'), (102350, 'AVL_TRAIN'), (104233, 'UN_AVL'), (104253, 'AVL_TRAIN'), (106816, 'AVL_EVAL'), (106824, 'AVL_TRAIN'), (108827, 'AVL_EVAL'), (108912, 'AVL_TRAIN'), (148559, 'AVL_EVAL'), (193789, 'AVL_TRAIN'), (219531, 'AVL_EVAL'), (263417, 'UN_AVL'), (269174, 'AVL_TRAIN'), (272072, 'AVL_EVAL'), (274215, 'AVL_TRAIN'), (274350, 'AVL_EVAL'), (278421, 'UN_AVL'), (284956, 'AVL_TRAIN'), (324473, 'AVL_EVAL'), (351483, 'UN_AVL'), (358778, 'AVL_TRAIN'), (369320, 'AVL_EVAL'), (375925, 'AVL_TRAIN'), (392087, 'AVL_EVAL'), (441973, 'UN_AVL')]", diff --git a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_93.json b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_93.json index d65215da5..8b9170eb8 100644 --- a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_93.json +++ b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_93.json @@ -81,7 +81,7 @@ "manual_seed": 42, "client_num_in_total": 0, "warmup_ratio": 1, - "training_delay_enabled": "True", + "training_delay_enabled": "False", "training_delay_factor": "10", "training_delay_s": "3.0", "avl_events_mobiperf_3st_50": "[(0, 'AVL_TRAIN'), (300, 'AVL_EVAL'), (21428, 'UN_AVL'), (54281, 'AVL_TRAIN'), (57479, 'AVL_EVAL'), (58058, 'AVL_TRAIN'), (63109, 'AVL_EVAL'), (85393, 'UN_AVL'), (87756, 'AVL_TRAIN'), (93953, 'AVL_EVAL'), (125011, 'UN_AVL'), (131836, 'AVL_TRAIN'), (133718, 'AVL_EVAL'), (138927, 'UN_AVL'), (155799, 'AVL_TRAIN'), (163846, 'AVL_EVAL'), (181623, 'UN_AVL'), (187465, 'AVL_TRAIN'), (198113, 'AVL_EVAL'), (243267, 'UN_AVL'), (248219, 'AVL_TRAIN'), (248659, 'UN_AVL'), (248847, 'AVL_TRAIN'), (249125, 'AVL_EVAL'), (249125, 'AVL_TRAIN'), (249126, 'AVL_EVAL'), (250963, 'UN_AVL'), (254880, 'AVL_TRAIN'), (257126, 'AVL_EVAL'), (258275, 'AVL_TRAIN'), (260891, 'AVL_EVAL'), (273466, 'UN_AVL'), (315289, 'AVL_EVAL'), (326217, 'AVL_TRAIN'), (328876, 'AVL_EVAL'), (339661, 'AVL_TRAIN'), (339948, 'AVL_EVAL'), (347444, 'UN_AVL'), (360321, 'AVL_TRAIN'), (377147, 'AVL_EVAL'), (390802, 'AVL_TRAIN'), (390836, 'AVL_EVAL'), (413796, 'UN_AVL'), (423239, 'AVL_TRAIN'), (428015, 'AVL_EVAL'), (428237, 'AVL_TRAIN'), (430464, 'AVL_EVAL'), (444036, 'UN_AVL'), (472433, 'AVL_TRAIN'), (478155, 'AVL_EVAL'), (493432, 'UN_AVL'), (504932, 'AVL_TRAIN'), (505650, 'UN_AVL'), (505661, 'AVL_TRAIN'), (507880, 'UN_AVL')]", diff --git a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_94.json b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_94.json index cd90b7b45..f910dd1e6 100644 --- a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_94.json +++ b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_94.json @@ -81,7 +81,7 @@ "manual_seed": 42, "client_num_in_total": 0, "warmup_ratio": 1, - "training_delay_enabled": "True", + "training_delay_enabled": "False", "training_delay_factor": "10", "training_delay_s": "9.0", "avl_events_mobiperf_3st_50": "[(0, 'AVL_TRAIN'), (300, 'UN_AVL'), (344987, 'AVL_TRAIN'), (345555, 'UN_AVL'), (357059, 'AVL_TRAIN'), (358122, 'UN_AVL'), (358123, 'AVL_TRAIN'), (358275, 'UN_AVL'), (358284, 'AVL_TRAIN'), (358813, 'UN_AVL'), (359070, 'AVL_TRAIN'), (359932, 'UN_AVL'), (413829, 'AVL_EVAL'), (425544, 'UN_AVL'), (488395, 'AVL_TRAIN'), (493615, 'AVL_EVAL'), (509034, 'UN_AVL')]", diff --git a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_95.json b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_95.json index 295827594..e2aef3faa 100644 --- a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_95.json +++ b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_95.json @@ -81,7 +81,7 @@ "manual_seed": 42, "client_num_in_total": 0, "warmup_ratio": 1, - "training_delay_enabled": "True", + "training_delay_enabled": "False", "training_delay_factor": "10", "training_delay_s": "12.0", "avl_events_mobiperf_3st_50": "[(0, 'AVL_TRAIN'), (300, 'UN_AVL'), (14867, 'AVL_EVAL'), (17903, 'UN_AVL'), (17923, 'AVL_TRAIN'), (18959, 'UN_AVL'), (18973, 'AVL_TRAIN'), (154828, 'AVL_EVAL'), (160541, 'UN_AVL'), (175628, 'AVL_TRAIN'), (187570, 'UN_AVL')]", diff --git a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_96.json b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_96.json index c0cf5214a..6f9581439 100644 --- a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_96.json +++ b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_96.json @@ -81,7 +81,7 @@ "manual_seed": 42, "client_num_in_total": 0, "warmup_ratio": 1, - "training_delay_enabled": "True", + "training_delay_enabled": "False", "training_delay_factor": "10", "training_delay_s": "5.0", "avl_events_mobiperf_3st_50": "[(0, 'AVL_TRAIN'), (300, 'UN_AVL'), (8361, 'AVL_TRAIN'), (13232, 'UN_AVL'), (122507, 'AVL_TRAIN'), (125889, 'UN_AVL'), (163049, 'AVL_TRAIN'), (169890, 'UN_AVL'), (243967, 'AVL_TRAIN'), (246801, 'UN_AVL'), (255850, 'AVL_TRAIN'), (256490, 'UN_AVL'), (258239, 'AVL_TRAIN'), (272150, 'AVL_EVAL'), (301332, 'UN_AVL')]", diff --git a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_97.json b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_97.json index 5230a7d99..65cb0cce8 100644 --- a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_97.json +++ b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_97.json @@ -81,7 +81,7 @@ "manual_seed": 42, "client_num_in_total": 0, "warmup_ratio": 1, - "training_delay_enabled": "True", + "training_delay_enabled": "False", "training_delay_factor": "10", "training_delay_s": "7.0", "avl_events_mobiperf_3st_50": "[(0, 'AVL_TRAIN'), (300, 'UN_AVL'), (77831, 'AVL_TRAIN'), (82222, 'UN_AVL'), (82631, 'AVL_TRAIN'), (86208, 'UN_AVL'), (86457, 'AVL_TRAIN'), (97952, 'AVL_EVAL'), (100673, 'UN_AVL'), (117083, 'AVL_TRAIN'), (146346, 'AVL_EVAL'), (146781, 'AVL_TRAIN'), (148083, 'AVL_EVAL'), (155226, 'AVL_TRAIN'), (155237, 'AVL_EVAL'), (175529, 'UN_AVL'), (196646, 'AVL_TRAIN'), (196649, 'UN_AVL'), (196650, 'AVL_TRAIN'), (196659, 'UN_AVL'), (196659, 'AVL_TRAIN'), (196669, 'UN_AVL'), (197206, 'AVL_TRAIN'), (197217, 'UN_AVL'), (197303, 'AVL_TRAIN'), (197310, 'UN_AVL'), (197531, 'AVL_TRAIN'), (198948, 'UN_AVL'), (198950, 'AVL_TRAIN'), (198989, 'UN_AVL'), (199028, 'AVL_TRAIN'), (199174, 'UN_AVL'), (199186, 'AVL_TRAIN'), (199215, 'UN_AVL'), (199312, 'AVL_TRAIN'), (199343, 'UN_AVL'), (199343, 'AVL_TRAIN'), (199425, 'UN_AVL'), (199438, 'AVL_TRAIN'), (199535, 'UN_AVL'), (199640, 'AVL_TRAIN'), (199708, 'UN_AVL'), (199730, 'AVL_TRAIN'), (199762, 'UN_AVL'), (199765, 'AVL_TRAIN'), (199775, 'UN_AVL'), (200015, 'AVL_TRAIN'), (200401, 'UN_AVL'), (200475, 'AVL_TRAIN'), (200484, 'UN_AVL'), (200485, 'AVL_TRAIN'), (200602, 'UN_AVL'), (200748, 'AVL_TRAIN'), (201348, 'UN_AVL'), (201423, 'AVL_TRAIN'), (201426, 'UN_AVL'), (201468, 'AVL_TRAIN'), (201641, 'UN_AVL'), (201648, 'AVL_TRAIN'), (201919, 'UN_AVL'), (201919, 'AVL_TRAIN'), (202474, 'UN_AVL'), (203089, 'AVL_TRAIN'), (203116, 'UN_AVL'), (203118, 'AVL_TRAIN'), (204529, 'UN_AVL'), (204691, 'AVL_TRAIN'), (206142, 'UN_AVL'), (206152, 'AVL_TRAIN'), (206314, 'UN_AVL'), (206315, 'AVL_TRAIN'), (207100, 'UN_AVL'), (207100, 'AVL_TRAIN'), (207140, 'UN_AVL'), (207151, 'AVL_TRAIN'), (216543, 'AVL_EVAL'), (216543, 'AVL_TRAIN'), (216545, 'AVL_EVAL'), (243957, 'UN_AVL'), (347630, 'AVL_TRAIN'), (348248, 'UN_AVL'), (349655, 'AVL_TRAIN'), (352809, 'UN_AVL'), (352809, 'AVL_TRAIN'), (352813, 'UN_AVL'), (371981, 'AVL_TRAIN'), (371989, 'UN_AVL'), (372076, 'AVL_TRAIN'), (372187, 'UN_AVL'), (372198, 'AVL_TRAIN'), (372290, 'UN_AVL'), (373313, 'AVL_TRAIN'), (373316, 'UN_AVL'), (373327, 'AVL_TRAIN'), (373406, 'UN_AVL'), (373766, 'AVL_TRAIN'), (374530, 'UN_AVL'), (374534, 'AVL_TRAIN'), (375626, 'UN_AVL'), (443017, 'AVL_TRAIN'), (449749, 'UN_AVL')]", diff --git a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_98.json b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_98.json index aadc0f83b..61230cc5a 100644 --- a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_98.json +++ b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_98.json @@ -81,7 +81,7 @@ "manual_seed": 42, "client_num_in_total": 0, "warmup_ratio": 1, - "training_delay_enabled": "True", + "training_delay_enabled": "False", "training_delay_factor": "10", "training_delay_s": "17.0", "avl_events_mobiperf_3st_50": "[(0, 'AVL_TRAIN'), (300, 'UN_AVL'), (9041, 'AVL_TRAIN'), (11298, 'UN_AVL'), (11303, 'AVL_TRAIN'), (11925, 'UN_AVL'), (50425, 'AVL_EVAL'), (243734, 'UN_AVL'), (243983, 'AVL_TRAIN'), (244007, 'UN_AVL'), (244013, 'AVL_TRAIN'), (244343, 'UN_AVL'), (244365, 'AVL_TRAIN'), (244547, 'UN_AVL'), (244548, 'AVL_TRAIN'), (246255, 'UN_AVL'), (246286, 'AVL_TRAIN'), (250253, 'AVL_EVAL'), (270711, 'UN_AVL'), (270711, 'AVL_TRAIN'), (274195, 'UN_AVL'), (309232, 'AVL_TRAIN'), (309266, 'UN_AVL'), (309266, 'AVL_TRAIN'), (309491, 'UN_AVL'), (309492, 'AVL_TRAIN'), (312576, 'UN_AVL'), (312693, 'AVL_TRAIN'), (312702, 'UN_AVL'), (312716, 'AVL_TRAIN'), (315431, 'UN_AVL')]", diff --git a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_99.json b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_99.json index 80b830079..2a18942e0 100644 --- a/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_99.json +++ b/lib/python/examples/fwdllm/expts/run_tc_expts/json_scripts/trainer_99.json @@ -81,7 +81,7 @@ "manual_seed": 42, "client_num_in_total": 0, "warmup_ratio": 1, - "training_delay_enabled": "True", + "training_delay_enabled": "False", "training_delay_factor": "10", "training_delay_s": "36.0", "avl_events_mobiperf_3st_50": "[(0, 'AVL_TRAIN'), (227, 'AVL_EVAL'), (1757, 'AVL_TRAIN'), (2266, 'AVL_EVAL'), (15753, 'UN_AVL'), (75638, 'AVL_TRAIN'), (76263, 'UN_AVL'), (77006, 'AVL_TRAIN'), (78334, 'UN_AVL'), (78346, 'AVL_TRAIN'), (78405, 'UN_AVL'), (78406, 'AVL_TRAIN'), (78543, 'UN_AVL'), (78549, 'AVL_TRAIN'), (79377, 'UN_AVL'), (79379, 'AVL_TRAIN'), (79486, 'UN_AVL'), (79495, 'AVL_TRAIN'), (79791, 'UN_AVL'), (79796, 'AVL_TRAIN'), (80059, 'UN_AVL'), (80071, 'AVL_TRAIN'), (80937, 'UN_AVL'), (80967, 'AVL_TRAIN'), (80978, 'UN_AVL'), (80979, 'AVL_TRAIN'), (81195, 'UN_AVL'), (81206, 'AVL_TRAIN'), (85845, 'AVL_EVAL'), (86392, 'AVL_TRAIN'), (87189, 'AVL_EVAL'), (89364, 'AVL_TRAIN'), (89365, 'AVL_EVAL'), (97105, 'UN_AVL'), (102534, 'AVL_TRAIN'), (124202, 'AVL_EVAL'), (160572, 'UN_AVL'), (168151, 'AVL_TRAIN'), (168659, 'UN_AVL'), (168714, 'AVL_TRAIN'), (169183, 'UN_AVL'), (170940, 'AVL_TRAIN'), (171086, 'UN_AVL'), (172784, 'AVL_TRAIN')]", diff --git a/lib/python/examples/fwdllm/trainer/forward_training/fwdgrad_utils.py b/lib/python/examples/fwdllm/trainer/forward_training/fwdgrad_utils.py index aa32b5f9d..b831ba8ca 100644 --- a/lib/python/examples/fwdllm/trainer/forward_training/fwdgrad_utils.py +++ b/lib/python/examples/fwdllm/trainer/forward_training/fwdgrad_utils.py @@ -132,11 +132,14 @@ def calculate_var(fwdgrad_list): def calculate_cos_sim(A, target_grad, device): batch_size = 1000 + # Move target_grad to the expected device (A is already on device) + target_grad = target_grad.to(device) + # 计算总批次数 num_batches = math.ceil(A.size(0) / batch_size) - # 创建一个空的结果张量 - result = torch.empty(A.size(0)) + # 创建一个空的结果张量，放在合适的设备上 + result = torch.empty(A.size(0), device=device) # 逐批次计算余弦相似度 for i in range(num_batches): @@ -154,4 +157,4 @@ def calculate_cos_sim(A, target_grad, device): # 将结果保存到结果张量的对应位置 result[start_idx:end_idx] = similarity - return similarity + return result diff --git a/lib/python/examples/fwdllm/trainer/forward_training/tc_transformer_trainer_distribute.py b/lib/python/examples/fwdllm/trainer/forward_training/tc_transformer_trainer_distribute.py index 0c3eb328b..20218b1fb 100755 --- a/lib/python/examples/fwdllm/trainer/forward_training/tc_transformer_trainer_distribute.py +++ b/lib/python/examples/fwdllm/trainer/forward_training/tc_transformer_trainer_distribute.py @@ -83,7 +83,7 @@ def _randn_wrapper( pre_state = _rng_state_hash(gen) - res = torch.randn(*size, device=device, generator=gen, **kwargs) + res = torch.randn(*size, device=gen.device, generator=gen, **kwargs).to(device) logging.debug( f"[{label}] device={device}, generator={gen}, post_state={_rng_state_hash(gen)}, logging_state={logging_state}, size={size}, kwargs={kwargs}, pre_state={pre_state}, param_name={param_name}" @@ -120,7 +120,7 @@ def _randn_like_wrapper( tuple(input_tensor.shape), dtype=kwargs.get("dtype", input_tensor.dtype), layout=kwargs.get("layout", input_tensor.layout), - device=device, + device=gen.device, generator=gen, requires_grad=kwargs.get("requires_grad", input_tensor.requires_grad), ).to( @@ -274,48 +274,6 @@ def _make_model_functional(self, device): self.params = [p.to(device) for p in self.params] # In case it was moved to CPU for serialization before being sent over the channel self.buffers = [b.to(device) for b in self.buffers] - @timer_decorator - def _select_optimal_perturbations(self, device, logging_state): - if self.args.var_control: - self.grad = None if self.old_grad is None else [g.clone() for g in self.old_grad] - - v_buffer = {} - all_perturbations_hash = "" - selected_perturbation_hash = "" - index = 0 - if (self.grad is not None): - logging.debug(f"self.grad hashes: {[(_calculate_hash(p), p.shape) for p in self.grad]}") - logging.debug(f"self.grad/target_grad_full length = {len(self.grad)}") - else: - logging.debug("self.grad is None") - for k, v in self.model.named_parameters(): - if self.grad is not None and v.requires_grad: - self.total_rng_iter += 1 - shape = v.shape - candidate_v = _randn_wrapper((1 * 10, *shape), device="cpu", generator=self.torch_rng, logging_state=logging_state, param_name=k) - logging.debug(f"Candidate v - random generation for layer - '{index}' layer shape {candidate_v.shape}") - # torch.randn((1 * 10, *shape), device="cpu", generator=self.torch_rng) - target_grad = self.grad[index] - - target_grad = torch.flatten(target_grad) - candidate_v = torch.flatten(candidate_v, start_dim=1) - - logging.debug(f"candidate_v for client_idx {self.args.client_idx} is {_calculate_hash(candidate_v)} for param_name {k}") - all_perturbations_hash = _calculate_rolling_hash(candidate_v, all_perturbations_hash) - - cos_sim = calculate_cos_sim(candidate_v, target_grad, device) - - sorted_values, sorted_indices = torch.sort(cos_sim, descending=True) - logging.debug(f"cos sim values for trainer {self.trainer_id}: {sorted_values}") - v_buffer[index] = [ - candidate_v[i].reshape(v.shape) for i in sorted_indices[:1] - ] - - del candidate_v, target_grad, cos_sim, sorted_indices, shape - index += 1 - return v_buffer - - @timer_decorator def _setup_training_state(self, device, logging_state): @timer_decorator @@ -331,15 +289,15 @@ def _select_optimal_perturbations(device, logging_state): if self.grad is not None and v.requires_grad: self.total_rng_iter += 1 shape = v.shape - candidate_v = _randn_wrapper((1 * 10, *shape), device="cpu", generator=self.torch_rng, logging_state=logging_state, param_name=k) + candidate_v = _randn_wrapper((1 * 200, *shape), device=device, generator=self.torch_rng, logging_state=logging_state, param_name=k) # torch.randn((1 * 10, *shape), device="cpu", generator=self.torch_rng) target_grad = self.grad[index] target_grad = torch.flatten(target_grad) candidate_v = torch.flatten(candidate_v, start_dim=1) - logging.debug(f"candidate_v for client_idx {self.args.client_idx} is {_calculate_hash(candidate_v)} for param_name {k}") - all_perturbations_hash = _calculate_rolling_hash(candidate_v, all_perturbations_hash) + if logging.getLogger().isEnabledFor(logging.DEBUG): + logging.debug(f"candidate_v for client_idx {self.args.client_idx} is {_calculate_hash(candidate_v)} for param_name {k}") cos_sim = calculate_cos_sim(candidate_v, target_grad, device) @@ -350,6 +308,10 @@ def _select_optimal_perturbations(device, logging_state): del candidate_v, target_grad, cos_sim, sorted_indices, shape index += 1 + + if self.grad is None: + logger.warning("TrainerId: %s skipped cosine_similarity checks because self.old_grad is None. v_buffer is %s", self.trainer_id, v_buffer) + return v_buffer self.log_memory("after_fmodel_setup", device) diff --git a/lib/python/flame/mode/horizontal/syncfl/fwdllm_trainer.py b/lib/python/flame/mode/horizontal/syncfl/fwdllm_trainer.py index da5136f7b..c94c1da63 100644 --- a/lib/python/flame/mode/horizontal/syncfl/fwdllm_trainer.py +++ b/lib/python/flame/mode/horizontal/syncfl/fwdllm_trainer.py @@ -69,8 +69,10 @@ def recv_wrapper(self, channel, end_id): return channel.recv(end_id) + import hashlib + def _calculate_hash(tensor): if tensor is None: return "" @@ -78,6 +80,7 @@ def _calculate_hash(tensor): """Calculate a hash for a tensor for logging.""" return hashlib.sha256(tensor.detach().cpu().numpy().tobytes()).hexdigest() + class Trainer(Role, metaclass=ABCMeta): """Trainer implements an ML training role.""" @@ -304,8 +307,10 @@ def _fetch_weights(self, tag: str) -> None: # Helper lambda for a cleaner log format_hash = lambda d: {k: _calculate_hash(v)[:8] for k, v in d.items()} - logging.debug(f"Trainer Id : {self.trainer_id} received weights (hashed): {format_hash(self.model.state_dict())}") - + logging.debug( + f"Trainer Id : {self.trainer_id} received weights (hashed): {format_hash(self.model.state_dict())}" + ) + if MessageType.DATA_ID in msg: logger.info( f"Trainer id {self.trainer_id} received data id for training : {msg[MessageType.DATA_ID]}" @@ -336,23 +341,30 @@ def _fetch_weights(self, tag: str) -> None: full_grad.append( torch.zeros_like(param, device="cpu") ) - + if partial_grad is not None: format_hash = lambda d: [_calculate_hash(v)[:8] for v in d] - logger.debug(f"Trainer: {self.trainer_id} - old_grad: {format_hash(partial_grad)}") + logger.debug( + f"Trainer: {self.trainer_id} - old_grad: {format_hash(partial_grad)}" + ) else: - logger.debug(f"Trainer: {self.trainer_id} - old_grad: None") - - if self.data_id % 2: - logger.debug(f"using old grad for : {self.data_id}") - self.trainer.model_trainer.old_grad = full_grad - else: - logger.debug(f"reset old grad for : {self.data_id}") - self.trainer.model_trainer.old_grad = None + logger.debug( + f"Trainer: {self.trainer_id} - old_grad: None" + ) + + # if self.data_id % 2: + logger.info(f"using old grad for : {self.data_id}") + self.trainer.model_trainer.old_grad = full_grad + # else: + # logger.debug(f"reset old grad for : {self.data_id}") + # self.trainer.model_trainer.old_grad = None # logger.info( # f"Trainer id {self.trainer_id} using grad_pool from message {self.trainer.model_trainer.old_grad}" # ) del full_grad + else: + if self.args.var_control and self.args.perturbation_sampling: + logger.info(f"Keeping old grad unchanged for : {self.trainer_id} because GRAD_POOL not in msg with var {msg.get(MessageType.VAR, 'N/A')}") else: logger.info( f"Invalid message received from agg for trainer id: {self.trainer_id} - skipping " @@ -496,8 +508,12 @@ def _send_grads(self, tag: str) -> None: f"({size_mb:.2f} MB)." ) - format_hash = lambda d: {k: _calculate_hash(v)[:8] for k, v in d.items()} - logger.info(f"Sending grads from Trainer: {self.trainer_id} - model version: {self._model_version} - grad: {format_hash(grad_dict)} - grad_for_var_check: {_calculate_hash(self.grad_for_var_check)}") + format_hash = lambda d: { + k: _calculate_hash(v)[:8] for k, v in d.items() + } + logger.info( + f"Sending grads from Trainer: {self.trainer_id} - model version: {self._model_version} - grad: {format_hash(grad_dict)} - grad_for_var_check: {_calculate_hash(self.grad_for_var_check)}" + ) else: logger.info("No gradients exist; sending an empty dictionary.") @@ -546,7 +562,7 @@ def _send_grads(self, tag: str) -> None: channel._selector._cleanup_send_ends() # Optimization: Perform GC and CUDA memory cleanup after sending gradients. - # This moves the "stop the world" synchronous flushes out of the measured + # This moves the "stop the world" synchronous flushes out of the measured # training/evaluation phases and into the idle time between rounds. gc.collect() torch.cuda.empty_cache() diff --git a/scripts/eval_perf_analysis.ipynb b/scripts/eval_perf_analysis.ipynb new file mode 100644 index 000000000..6e785362a --- /dev/null +++ b/scripts/eval_perf_analysis.ipynb @@ -0,0 +1,201 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Eval Model Performance Analysis\n", + "This notebook extracts the `eval_model` logic from `fwdllm_aggregator.py` to analyze performance bottlenecks across different batch sizes." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "import torch\n", + "import time\n", + "import numpy as np\n", + "import logging\n", + "import gc\n", + "from torch.nn import CrossEntropyLoss\n", + "from torch.utils.data import DataLoader, TensorDataset\n", + "from transformers import AutoModelForSequenceClassification, AutoConfig\n", + "import matplotlib.pyplot as plt\n", + "\n", + "device = \"cuda\" if torch.cuda.is_available() else \"cpu\"\n", + "print(f\"Using device: {device}\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "def run_eval_benchmark(batch_size=8, num_samples=7600, model_name=\"distilbert-base-uncased\"):\n", + " num_labels = 4\n", + " config = AutoConfig.from_pretrained(model_name, num_labels=num_labels)\n", + " model = AutoModelForSequenceClassification.from_config(config).to(device)\n", + " model.eval()\n", + "\n", + " # Dummy Data\n", + " max_seq_len = 128\n", + " input_ids = torch.randint(0, 30000, (num_samples, max_seq_len))\n", + " input_mask = torch.ones((num_samples, max_seq_len))\n", + " segment_ids = torch.zeros((num_samples, max_seq_len))\n", + " label_ids = torch.randint(0, num_labels, (num_samples,))\n", + " dataset = TensorDataset(input_ids, input_mask, segment_ids, label_ids)\n", + " total_len = len(dataset)\n", + " \n", + " loader = DataLoader(dataset, batch_size=batch_size, shuffle=False)\n", + " \n", + " loss_fct = CrossEntropyLoss()\n", + " \n", + " # Timing metrics\n", + " batch_times = []\n", + " data_move_times = []\n", + " forward_times = []\n", + " cpu_move_times = []\n", + " \n", + " torch.cuda.synchronize() if device == \"cuda\" else None\n", + " start_time = time.time()\n", + " \n", + " for i, batch in enumerate(loader):\n", + " b_start = time.time()\n", + " \n", + " # 1. To Device\n", + " t0 = time.time()\n", + " x = batch[0].to(device)\n", + " labels = batch[3].to(device)\n", + " torch.cuda.synchronize() if device == \"cuda\" else None\n", + " data_move_times.append(time.time() - t0)\n", + " \n", + " # 2. Forward Pass\n", + " t1 = time.time()\n", + " with torch.no_grad():\n", + " output = model(x)\n", + " logits = output[0]\n", + " torch.cuda.synchronize() if device == \"cuda\" else None\n", + " forward_times.append(time.time() - t1)\n", + " \n", + " # 3. CPU Move & Metrics (simulating preds storage)\n", + " t2 = time.time()\n", + " _ = logits.detach().cpu().numpy()\n", + " _ = labels.detach().cpu().numpy()\n", + " torch.cuda.synchronize() if device == \"cuda\" else None\n", + " cpu_move_times.append(time.time() - t2)\n", + " \n", + " batch_times.append(time.time() - b_start)\n", + " \n", + " total_duration = time.time() - start_time\n", + " return {\n", + " \"total\": total_duration,\n", + " \"batch_avg\": np.mean(batch_times),\n", + " \"data_move_avg\": np.mean(data_move_times),\n", + " \"forward_avg\": np.mean(forward_times),\n", + " \"cpu_move_avg\": np.mean(cpu_move_times),\n", + " \"batch_times\": batch_times\n", + " }" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "bs_list = [8, 16, 32, 64, 128, 256]\n", + "results = {}\n", + "\n", + "for bs in bs_list:\n", + " print(f\"Benchmarking BS={bs}...\")\n", + " results[bs] = run_eval_benchmark(batch_size=bs)\n", + " print(f\" Total Time: {results[bs]['total']:.2f}s\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Plotting Results\n", + "plt.figure(figsize=(12, 6))\n", + "\n", + "plt.subplot(1, 2, 1)\n", + "plt.plot(bs_list, [results[bs]['total'] for bs in bs_list], marker='o')\n", + "plt.title(\"Total Execution Time vs Batch Size\")\n", + "plt.xlabel(\"Batch Size\")\n", + "plt.ylabel(\"Time (s)\")\n", + "plt.grid(True)\n", + "\n", + "plt.subplot(1, 2, 2)\n", + "plt.plot(bs_list, [results[bs]['forward_avg'] * 1000 for bs in bs_list], label=\"Forward\", marker='x')\n", + "plt.plot(bs_list, [results[bs]['data_move_avg'] * 1000 for bs in bs_list], label=\"Data Move\", marker='s')\n", + "plt.plot(bs_list, [results[bs]['cpu_move_avg'] * 1000 for bs in bs_list], label=\"To CPU\", marker='d')\n", + "plt.title(\"Avg Time per Batch (ms)\")\n", + "plt.xlabel(\"Batch Size\")\n", + "plt.ylabel(\"Time (ms)\")\n", + "plt.legend()\n", + "plt.grid(True)\n", + "\n", + "plt.tight_layout()\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## CDF of Batch Latency\n", + "If you want to see the distribution of latencies for a specific batch size:" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "def plot_cdf(data, label):\n", + " sorted_data = np.sort(data)\n", + " yvals = np.arange(len(sorted_data))/float(len(sorted_data)-1)\n", + " plt.plot(sorted_data, yvals, label=label)\n", + "\n", + "plt.figure(figsize=(10, 6))\n", + "for bs in [8, 256]:\n", + " plot_cdf(results[bs]['batch_times'], f\"BS={bs}\")\n", + "\n", + "plt.title(\"CDF of Batch Latencies\")\n", + "plt.xlabel(\"Latency (s)\")\n", + "plt.ylabel(\"CDF\")\n", + "plt.legend()\n", + "plt.grid(True)\n", + "plt.show()" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.8.10" + } + }, + "nbformat": 4, + "nbformat_minor": 4 +} \ No newline at end of file diff --git a/scripts/eval_perf_analysis.py b/scripts/eval_perf_analysis.py new file mode 100644 index 000000000..a5e544624 --- /dev/null +++ b/scripts/eval_perf_analysis.py @@ -0,0 +1,139 @@ +# %% [markdown] +# # Eval Model Performance Analysis +# This notebook extracts the `eval_model` logic from `fwdllm_aggregator.py` to analyze performance bottlenecks across different batch sizes. + +# %% +import torch +import time +import numpy as np +import logging +import gc +from torch.nn import CrossEntropyLoss +from torch.utils.data import DataLoader, TensorDataset +from transformers import AutoModelForSequenceClassification, AutoConfig +import matplotlib.pyplot as plt + +device = "cuda" if torch.cuda.is_available() else "cpu" +print(f"Using device: {device}") + +# %% +def run_eval_benchmark(batch_size=8, num_samples=7600, model_name="distilbert-base-uncased"): + num_labels = 4 + config = AutoConfig.from_pretrained(model_name, num_labels=num_labels) + model = AutoModelForSequenceClassification.from_config(config).to(device) + model.eval() + + # Dummy Data + max_seq_len = 128 + input_ids = torch.randint(0, 30000, (num_samples, max_seq_len)) + input_mask = torch.ones((num_samples, max_seq_len)) + segment_ids = torch.zeros((num_samples, max_seq_len)) + label_ids = torch.randint(0, num_labels, (num_samples,)) + dataset = TensorDataset(input_ids, input_mask, segment_ids, label_ids) + total_len = len(dataset) + + loader = DataLoader(dataset, batch_size=batch_size, shuffle=False) + + loss_fct = CrossEntropyLoss() + + # Timing metrics + batch_times = [] + data_move_times = [] + forward_times = [] + cpu_move_times = [] + + torch.cuda.synchronize() if device == "cuda" else None + start_time = time.time() + + for i, batch in enumerate(loader): + b_start = time.time() + + # 1. To Device + t0 = time.time() + x = batch[0].to(device) + labels = batch[3].to(device) + torch.cuda.synchronize() if device == "cuda" else None + data_move_times.append(time.time() - t0) + + # 2. Forward Pass + t1 = time.time() + with torch.no_grad(): + output = model(x) + logits = output[0] + torch.cuda.synchronize() if device == "cuda" else None + forward_times.append(time.time() - t1) + + # 3. CPU Move & Metrics (simulating preds storage) + t2 = time.time() + _ = logits.detach().cpu().numpy() + _ = labels.detach().cpu().numpy() + torch.cuda.synchronize() if device == "cuda" else None + cpu_move_times.append(time.time() - t2) + + batch_times.append(time.time() - b_start) + + total_duration = time.time() - start_time + return { + "total": total_duration, + "batch_avg": np.mean(batch_times), + "data_move_avg": np.mean(data_move_times), + "forward_avg": np.mean(forward_times), + "cpu_move_avg": np.mean(cpu_move_times), + "batch_times": batch_times + } + +# %% +bs_list = [2, 4, 8, 16, 32, 64, 128, 256, 512, 1024] +results = {} + +for bs in bs_list: + print(f"Benchmarking BS={bs}...") + results[bs] = run_eval_benchmark(batch_size=bs) + print(f" Total Time: {results[bs]['total']:.2f}s") + +# %% +# Plotting Results +plt.figure(figsize=(12, 6)) + +plt.subplot(1, 2, 1) +plt.plot(bs_list, [results[bs]['total'] for bs in bs_list], marker='o') +plt.title("Total Execution Time vs Batch Size") +plt.xlabel("Batch Size") +plt.ylabel("Time (s)") +plt.grid(True) + +plt.subplot(1, 2, 2) +plt.plot(bs_list, [results[bs]['forward_avg'] * 1000 for bs in bs_list], label="Forward", marker='x') +plt.plot(bs_list, [results[bs]['data_move_avg'] * 1000 for bs in bs_list], label="Data Move", marker='s') +plt.plot(bs_list, [results[bs]['cpu_move_avg'] * 1000 for bs in bs_list], label="To CPU", marker='d') +plt.title("Avg Time per Batch (ms)") +plt.xlabel("Batch Size") +plt.ylabel("Time (ms)") +plt.legend() +plt.grid(True) + +plt.tight_layout() +plt.show() + +# %% [markdown] +# ## CDF of Batch Latency +# If you want to see the distribution of latencies for a specific batch size: + +# %% +def plot_cdf(data, label): + sorted_data = np.sort(data) + yvals = np.arange(len(sorted_data))/float(len(sorted_data)-1) + plt.plot(sorted_data, yvals, label=label) + +plt.figure(figsize=(10, 6)) +for bs in [8, 256]: + plot_cdf(results[bs]['batch_times'], f"BS={bs}") + +plt.title("CDF of Batch Latencies") +plt.xlabel("Latency (s)") +plt.ylabel("CDF") +plt.legend() +plt.grid(True) +plt.show() + +