[CI] remove TensorRT from PaddleTest

.github/workflows/so_denpency_analyzer.yml

@@ -36,16 +36,13 @@ jobs:
           - "TagBuild-Training-Linux-Gpu-Cuda11.8-Cudnn8.6-Mkl-Avx-Gcc8.2-SelfBuiltPypiUse"
           - "TagBuild-Training-Linux-Cpu-Mkl-Avx-Gcc82-SelfBuiltPypiUse"
           - "TagBuild-Training-Linux-Cpu-ARM-SelfBuiltPypiUse"
-          - "TagBuild-Training-Linux-Gpu-Cuda12.6-Cudnn9.5-Trt10.5-Mkl-Avx-Gcc11-SelfBuiltPypiUse"
         python_version: ["3.8", "3.10", "3.13"]
         is_cuda: ["True", "False"]
         exclude:
           - ce_task_name: "TagBuild-Training-Linux-Cpu-Mkl-Avx-Gcc82-SelfBuiltPypiUse"
             is_cuda: "True"
           - ce_task_name: "TagBuild-Training-Linux-Cpu-ARM-SelfBuiltPypiUse"
             is_cuda: "True"
-          - ce_task_name: "TagBuild-Training-Linux-Gpu-Cuda12.6-Cudnn9.5-Trt10.5-Mkl-Avx-Gcc11-SelfBuiltPypiUse"
-            is_cuda: "False"
           - ce_task_name: "TagBuild-Training-Linux-Gpu-Cuda11.8-Cudnn8.6-Mkl-Avx-Gcc8.2-SelfBuiltPypiUse"
             is_cuda: "False"
     steps:

distributed/CE_PDC/PaddleClas/test_tipc/configs/ResNet/CE_ResNet50_train_infer_python.txt

@@ -42,7 +42,6 @@ inference:python/predict_cls.py -c configs/inference_cls.yaml
 -o Global.enable_mkldnn:False
 -o Global.cpu_num_threads:1
 -o Global.batch_size:1
--o Global.use_tensorrt:False
 -o Global.use_fp16:False
 -o Global.inference_model_dir:../inference
 -o Global.infer_imgs:../dataset/ILSVRC2012/val/ILSVRC2012_val_00000001.JPEG

distributed/CE_PDC/PaddleRec/test_tipc/configs/deep_walk/train_infer_python.txt

@@ -42,7 +42,6 @@ inference:null
 --enable_mkldnn:False
 --cpu_threads:1|6
 --batchsize:10
---enable_tensorRT:False
 --precision:fp32
 --model_dir:
 --data_dir:test_tipc/data/infer

distributed/CE_PDC/PaddleRec/test_tipc/configs/lightgcn/train_infer_python.txt

@@ -42,7 +42,6 @@ inference:null
 --enable_mkldnn:False
 --cpu_threads:1|6
 --batchsize:10
---enable_tensorRT:False
 --precision:fp32
 --model_dir:
 --data_dir:test_tipc/data/infer
@@ -56,4 +55,4 @@ epoch:1
 run_mode:PGLBOX
 fp_items:null
 device_num:N1C8|N2C16
-gpu_config:models/graph/lightgcn.yaml
+gpu_config:models/graph/lightgcn.yaml

distributed/CE_PDC/PaddleRec/test_tipc/configs/transformer_conv/train_infer_python.txt

@@ -42,7 +42,6 @@ inference:null
 --enable_mkldnn:False
 --cpu_threads:1|6
 --batchsize:10
---enable_tensorRT:False
 --precision:fp32
 --model_dir:
 --data_dir:test_tipc/data/infer
@@ -56,4 +55,4 @@ epoch:1
 run_mode:PGLBOX
 fp_items:null
 device_num:N1C8|N2C16
-gpu_config:models/graph/transformer_conv.yaml
+gpu_config:models/graph/transformer_conv.yaml

framework/e2e/PaddleLT_new/layercase/end2end/csp_darknet_det_backbone.py

@@ -282,7 +282,7 @@ class LayerCase(nn.Layer):
         return_idx (list): Index of stages whose feature maps are returned.
     """
 
-    __shared__ = ['depth_mult', 'width_mult', 'act', 'trt']
+    __shared__ = ['depth_mult', 'width_mult', 'act']
 
     # in_channels, out_channels, num_blocks, add_shortcut, use_spp(use_sppf)
     # 'X' means setting used in YOLOX, 'P5/P6' means setting used in YOLOv5.
@@ -302,7 +302,6 @@ def __init__(self,
                  width_mult=1.0,
                  depthwise=False,
                  act='silu',
-                 trt=False,
                  return_idx=[2, 3, 4]):
         super(LayerCase, self).__init__()
         self.arch = arch

framework/e2e/PaddleLT_new/layercase/end2end/cspresnet_det_backbone.py

@@ -21,16 +21,10 @@ def silu(x):
     return F.silu(x)
 
 
-def swish(x):
-    return x * F.sigmoid(x)
-
-
-TRT_ACT_SPEC = {'swish': swish, 'silu': swish}
-
 ACT_SPEC = {'mish': mish, 'silu': silu}
 
 
-def get_act_fn(act=None, trt=False):
+def get_act_fn(act=None):
     assert act is None or isinstance(act, (
         str, dict)), 'name of activation should be str, dict or None'
     if not act:
@@ -44,9 +38,7 @@ def get_act_fn(act=None, trt=False):
         name = act
         kwargs = dict()
 
-    if trt and name in TRT_ACT_SPEC:
-        fn = TRT_ACT_SPEC[name]
-    elif name in ACT_SPEC:
+    if name in ACT_SPEC:
         fn = ACT_SPEC[name]
     else:
         fn = getattr(F, name)
@@ -251,7 +243,7 @@ def forward(self, x):
 
 
 class LayerCase(nn.Layer):
-    __shared__ = ['width_mult', 'depth_mult', 'trt']
+    __shared__ = ['width_mult', 'depth_mult']
 
     def __init__(self,
                  layers=[3, 6, 6, 3],
@@ -262,17 +254,15 @@ def __init__(self,
                  use_large_stem=False,
                  width_mult=1.0,
                  depth_mult=1.0,
-                 trt=False,
                  use_checkpoint=False,
                  use_alpha=False,
                  **args):
         super(LayerCase, self).__init__()
         self.use_checkpoint = use_checkpoint
         channels = [max(round(c * width_mult), 1) for c in channels]
         layers = [max(round(l * depth_mult), 1) for l in layers]
-        act = get_act_fn(
-            act, trt=trt) if act is None or isinstance(act,
-                                                       (str, dict)) else act
+        act = get_act_fn(act) if act is None or isinstance(act,
+                                                           (str, dict)) else act
 
         if use_large_stem:
             self.stem = nn.Sequential(

framework/e2e/PaddleLT_new/layercase/end2end/mobileone_det_backbone.py

@@ -20,16 +20,10 @@ def silu(x):
     return F.silu(x)
 
 
-def swish(x):
-    return x * F.sigmoid(x)
-
-
-TRT_ACT_SPEC = {'swish': swish, 'silu': swish}
-
 ACT_SPEC = {'mish': mish, 'silu': silu}
 
 
-def get_act_fn(act=None, trt=False):
+def get_act_fn(act=None):
     assert act is None or isinstance(act, (
         str, dict)), 'name of activation should be str, dict or None'
     if not act:
@@ -43,9 +37,7 @@ def get_act_fn(act=None, trt=False):
         name = act
         kwargs = dict()
 
-    if trt and name in TRT_ACT_SPEC:
-        fn = TRT_ACT_SPEC[name]
-    elif name in ACT_SPEC:
+    if name in ACT_SPEC:
         fn = ACT_SPEC[name]
     else:
         fn = getattr(F, name)

framework/e2e/moduletrans/yaml/Det/modeling/backbones/csp_darknet.yml

@@ -403,7 +403,6 @@ csp_darknet_CSPDarkNet_0:
       width_mult: 1.0
       depthwise: False
       act: 'silu'
-      trt: False
       return_idx: [2, 3, 4]
   DataGenerator:
     DataGenerator_name: "diy.data.struct_img_dataset.DictImageWithoutLabel"

framework/e2e/moduletrans/yaml/Det/modeling/backbones/cspresnet.yml

@@ -343,7 +343,6 @@ cspresnet_CSPResNet_0:
       use_large_stem: False
       width_mult: 1.0
       depth_mult: 1.0
-      trt: False
       use_checkpoint: False
       use_alpha: False
   DataGenerator:

framework/e2e/moduletrans/yaml/Det/modeling/necks/custom_pan.yml

@@ -131,7 +131,6 @@ custom_pan_CustomCSPPAN_0:
       data_format: 'NCHW'
       width_mult: 1.0
       depth_mult: 1.0
-      trt: False
   DataGenerator:
     DataGenerator_name: "diy.data.single_img_dataset.SingleImageWithoutLabel"
     data:
@@ -210,7 +209,6 @@ custom_pan_CustomCSPPAN_1:
       data_format: 'NCHW'
       width_mult: 1.0
       depth_mult: 1.0
-      trt: False
   DataGenerator:
     DataGenerator_name: "diy.data.single_img_dataset.SingleImageWithoutLabel"
     data:

framework/e2e/moduletrans/yaml/Det/modeling/necks/yolo_fpn.yml

@@ -565,7 +565,6 @@ yolo_fpn_YOLOCSPPAN_0:
       depthwise: False
       data_format: 'NCHW'
       act: 'silu'
-      trt: False
   DataGenerator:
     DataGenerator_name: "diy.data.single_img_dataset.SingleImageWithoutLabel"
     data:

framework/e2e/paddleLT/yaml/Det/modeling/backbones/csp_darknet.yml

@@ -403,7 +403,6 @@ csp_darknet_CSPDarkNet_0:
       width_mult: 1.0
       depthwise: False
       act: 'silu'
-      trt: False
       return_idx: [2, 3, 4]
   DataGenerator:
     DataGenerator_name: "diy.data.struct_img_dataset.DictImageWithoutLabel"

framework/e2e/paddleLT/yaml/Det/modeling/backbones/cspresnet.yml

@@ -343,7 +343,6 @@ cspresnet_CSPResNet_0:
       use_large_stem: False
       width_mult: 1.0
       depth_mult: 1.0
-      trt: False
       use_checkpoint: False
       use_alpha: False
   DataGenerator:

framework/e2e/paddleLT/yaml/Det/modeling/necks/custom_pan.yml

@@ -131,7 +131,6 @@ custom_pan_CustomCSPPAN_0:
       data_format: 'NCHW'
       width_mult: 1.0
       depth_mult: 1.0
-      trt: False
   DataGenerator:
     DataGenerator_name: "diy.data.single_img_dataset.SingleImageWithoutLabel"
     data:
@@ -210,7 +209,6 @@ custom_pan_CustomCSPPAN_1:
       data_format: 'NCHW'
       width_mult: 1.0
       depth_mult: 1.0
-      trt: False
   DataGenerator:
     DataGenerator_name: "diy.data.single_img_dataset.SingleImageWithoutLabel"
     data:

framework/e2e/paddleLT/yaml/Det/modeling/necks/yolo_fpn.yml

@@ -565,7 +565,6 @@ yolo_fpn_YOLOCSPPAN_0:
       depthwise: False
       data_format: 'NCHW'
       act: 'silu'
-      trt: False
   DataGenerator:
     DataGenerator_name: "diy.data.single_img_dataset.SingleImageWithoutLabel"
     data: