When I run train.py
Traceback (most recent call last):
File "train.py", line 142, in
tf.app.run(main)
File "/usr/local/lib/python3.7/dist-packages/tensorflow/python/platform/app.py", line 40, in run
_run(main=main, argv=argv, flags_parser=_parse_flags_tolerate_undef)
File "/usr/local/lib/python3.7/dist-packages/absl/app.py", line 299, in run
_run_main(main, args)
File "/usr/local/lib/python3.7/dist-packages/absl/app.py", line 250, in _run_main
sys.exit(main(argv))
File "train.py", line 69, in main
avail_gpus=cfg.GPU_AVAILABLE.split(',')
File "/home/pjahoda/VoxelNet-tensorflow/model/model.py", line 73, in init
input=feature.outputs, alpha=self.alpha, beta=self.beta, training=is_train)
File "/home/pjahoda/VoxelNet-tensorflow/model/rpn.py", line 96, in init
temp_conv = tf.concat([deconv3, deconv2, deconv1], -1)
File "/usr/local/lib/python3.7/dist-packages/tensorflow/python/util/dispatch.py", line 180, in wrapper
return target(*args, **kwargs)
File "/usr/local/lib/python3.7/dist-packages/tensorflow/python/ops/array_ops.py", line 1299, in concat
return gen_array_ops.concat_v2(values=values, axis=axis, name=name)
File "/usr/local/lib/python3.7/dist-packages/tensorflow/python/ops/gen_array_ops.py", line 1256, in concat_v2
"ConcatV2", values=values, axis=axis, name=name)
File "/usr/local/lib/python3.7/dist-packages/tensorflow/python/framework/op_def_library.py", line 788, in _apply_op_helper
op_def=op_def)
File "/usr/local/lib/python3.7/dist-packages/tensorflow/python/util/deprecation.py", line 507, in new_func
return func(*args, **kwargs)
File "/usr/local/lib/python3.7/dist-packages/tensorflow/python/framework/ops.py", line 3616, in create_op
op_def=op_def)
File "/usr/local/lib/python3.7/dist-packages/tensorflow/python/framework/ops.py", line 2027, in init
control_input_ops)
File "/usr/local/lib/python3.7/dist-packages/tensorflow/python/framework/ops.py", line 1867, in create_c_op
raise ValueError(str(e))
ValueError: Dimension 1 in both shapes must be equal, but are 4 and 3. Shapes are [1,4,4] and [1,3,3]. for 'gpu_3/MiddleAndRPN/concat' (op: 'ConcatV2') with input shapes: [1,4,4,256], [1,4,4,256], [1,3,3,256], [] and with computed input tensors: input[3] = <-1>.
When I run train.py
Traceback (most recent call last):
File "train.py", line 142, in
tf.app.run(main)
File "/usr/local/lib/python3.7/dist-packages/tensorflow/python/platform/app.py", line 40, in run
_run(main=main, argv=argv, flags_parser=_parse_flags_tolerate_undef)
File "/usr/local/lib/python3.7/dist-packages/absl/app.py", line 299, in run
_run_main(main, args)
File "/usr/local/lib/python3.7/dist-packages/absl/app.py", line 250, in _run_main
sys.exit(main(argv))
File "train.py", line 69, in main
avail_gpus=cfg.GPU_AVAILABLE.split(',')
File "/home/pjahoda/VoxelNet-tensorflow/model/model.py", line 73, in init
input=feature.outputs, alpha=self.alpha, beta=self.beta, training=is_train)
File "/home/pjahoda/VoxelNet-tensorflow/model/rpn.py", line 96, in init
temp_conv = tf.concat([deconv3, deconv2, deconv1], -1)
File "/usr/local/lib/python3.7/dist-packages/tensorflow/python/util/dispatch.py", line 180, in wrapper
return target(*args, **kwargs)
File "/usr/local/lib/python3.7/dist-packages/tensorflow/python/ops/array_ops.py", line 1299, in concat
return gen_array_ops.concat_v2(values=values, axis=axis, name=name)
File "/usr/local/lib/python3.7/dist-packages/tensorflow/python/ops/gen_array_ops.py", line 1256, in concat_v2
"ConcatV2", values=values, axis=axis, name=name)
File "/usr/local/lib/python3.7/dist-packages/tensorflow/python/framework/op_def_library.py", line 788, in _apply_op_helper
op_def=op_def)
File "/usr/local/lib/python3.7/dist-packages/tensorflow/python/util/deprecation.py", line 507, in new_func
return func(*args, **kwargs)
File "/usr/local/lib/python3.7/dist-packages/tensorflow/python/framework/ops.py", line 3616, in create_op
op_def=op_def)
File "/usr/local/lib/python3.7/dist-packages/tensorflow/python/framework/ops.py", line 2027, in init
control_input_ops)
File "/usr/local/lib/python3.7/dist-packages/tensorflow/python/framework/ops.py", line 1867, in create_c_op
raise ValueError(str(e))
ValueError: Dimension 1 in both shapes must be equal, but are 4 and 3. Shapes are [1,4,4] and [1,3,3]. for 'gpu_3/MiddleAndRPN/concat' (op: 'ConcatV2') with input shapes: [1,4,4,256], [1,4,4,256], [1,3,3,256], [] and with computed input tensors: input[3] = <-1>.