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WARNING:tensorflow:input_shape is undefined or non-square, or rows is not in [96, 128, 160, 192, 224]. Weights for input shape (224, 224) will be loaded as the default.
WARNING:tensorflow:input_shape is undefined or non-square, or rows is not in [96, 128, 160, 192, 224]. Weights for input shape (224, 224) will be loaded as the default.
Epoch 1/2
Traceback (most recent call last):
File "C:/Users/SV60002880/Desktop/FRCNN/rpn_trainer.py", line 66, in
rpn_model.fit(rpn_train_feed,
File "D:\anaconda\envs\CPU\lib\site-packages\tensorflow\python\keras\engine\training.py", line 66, in _method_wrapper
return method(self, *args, **kwargs)
File "D:\anaconda\envs\CPU\lib\site-packages\tensorflow\python\keras\engine\training.py", line 848, in fit
tmp_logs = train_function(iterator)
File "D:\anaconda\envs\CPU\lib\site-packages\tensorflow\python\eager\def_function.py", line 580, in call
result = self._call(*args, **kwds)
File "D:\anaconda\envs\CPU\lib\site-packages\tensorflow\python\eager\def_function.py", line 644, in _call
return self._stateless_fn(*args, **kwds)
File "D:\anaconda\envs\CPU\lib\site-packages\tensorflow\python\eager\function.py", line 2420, in call
return graph_function._filtered_call(args, kwargs) # pylint: disable=protected-access
File "D:\anaconda\envs\CPU\lib\site-packages\tensorflow\python\eager\function.py", line 1661, in _filtered_call
return self._call_flat(
File "D:\anaconda\envs\CPU\lib\site-packages\tensorflow\python\eager\function.py", line 1745, in _call_flat
return self._build_call_outputs(self._inference_function.call(
File "D:\anaconda\envs\CPU\lib\site-packages\tensorflow\python\eager\function.py", line 593, in call
outputs = execute.execute(
File "D:\anaconda\envs\CPU\lib\site-packages\tensorflow\python\eager\execute.py", line 59, in quick_execute
tensors = pywrap_tfe.TFE_Py_Execute(ctx._handle, device_name, op_name,
tensorflow.python.framework.errors_impl.InvalidArgumentError: Incompatible shapes: [4,9216] vs. [4]
[[node reg_loss/mul (defined at C:\Users\SV60002880\Desktop\FRCNN\utils\train_utils.py:223) ]] [Op:__inference_train_function_14590]
Errors may have originated from an input operation.
Input Source operations connected to node reg_loss/mul:
reg_loss/Cast (defined at C:\Users\SV60002880\Desktop\FRCNN\utils\train_utils.py:221)
reg_loss/Sum (defined at C:\Users\SV60002880\Desktop\FRCNN\utils\train_utils.py:218)
Function call stack:
train_function
how to solve it
The text was updated successfully, but these errors were encountered:
WARNING:tensorflow:
input_shape
is undefined or non-square, orrows
is not in [96, 128, 160, 192, 224]. Weights for input shape (224, 224) will be loaded as the default.WARNING:tensorflow:
input_shape
is undefined or non-square, orrows
is not in [96, 128, 160, 192, 224]. Weights for input shape (224, 224) will be loaded as the default.Epoch 1/2
Traceback (most recent call last):
File "C:/Users/SV60002880/Desktop/FRCNN/rpn_trainer.py", line 66, in
rpn_model.fit(rpn_train_feed,
File "D:\anaconda\envs\CPU\lib\site-packages\tensorflow\python\keras\engine\training.py", line 66, in _method_wrapper
return method(self, *args, **kwargs)
File "D:\anaconda\envs\CPU\lib\site-packages\tensorflow\python\keras\engine\training.py", line 848, in fit
tmp_logs = train_function(iterator)
File "D:\anaconda\envs\CPU\lib\site-packages\tensorflow\python\eager\def_function.py", line 580, in call
result = self._call(*args, **kwds)
File "D:\anaconda\envs\CPU\lib\site-packages\tensorflow\python\eager\def_function.py", line 644, in _call
return self._stateless_fn(*args, **kwds)
File "D:\anaconda\envs\CPU\lib\site-packages\tensorflow\python\eager\function.py", line 2420, in call
return graph_function._filtered_call(args, kwargs) # pylint: disable=protected-access
File "D:\anaconda\envs\CPU\lib\site-packages\tensorflow\python\eager\function.py", line 1661, in _filtered_call
return self._call_flat(
File "D:\anaconda\envs\CPU\lib\site-packages\tensorflow\python\eager\function.py", line 1745, in _call_flat
return self._build_call_outputs(self._inference_function.call(
File "D:\anaconda\envs\CPU\lib\site-packages\tensorflow\python\eager\function.py", line 593, in call
outputs = execute.execute(
File "D:\anaconda\envs\CPU\lib\site-packages\tensorflow\python\eager\execute.py", line 59, in quick_execute
tensors = pywrap_tfe.TFE_Py_Execute(ctx._handle, device_name, op_name,
tensorflow.python.framework.errors_impl.InvalidArgumentError: Incompatible shapes: [4,9216] vs. [4]
[[node reg_loss/mul (defined at C:\Users\SV60002880\Desktop\FRCNN\utils\train_utils.py:223) ]] [Op:__inference_train_function_14590]
Errors may have originated from an input operation.
Input Source operations connected to node reg_loss/mul:
reg_loss/Cast (defined at C:\Users\SV60002880\Desktop\FRCNN\utils\train_utils.py:221)
reg_loss/Sum (defined at C:\Users\SV60002880\Desktop\FRCNN\utils\train_utils.py:218)
Function call stack:
train_function
how to solve it
The text was updated successfully, but these errors were encountered: