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Function call stack: keras_scratch_graph #9

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jpparreirap opened this issue Jul 5, 2021 · 0 comments
Open

Function call stack: keras_scratch_graph #9

jpparreirap opened this issue Jul 5, 2021 · 0 comments

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@jpparreirap
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Has anyone had the same problem? Or would you know how to help me with this issue?

The issue represented by the following code:

  File "C:\Users\JP\AppData\Local\Programs\Python\Python37\lib\site-packages\tensorflow\python\eager\function.py", line 572, in __call__
    return self._call_flat(args)
  File "C:\Users\JP\AppData\Local\Programs\Python\Python37\lib\site-packages\tensorflow\python\eager\function.py", line 671, in _call_flat
    outputs = self._inference_function.call(ctx, args)
  File "C:\Users\JP\AppData\Local\Programs\Python\Python37\lib\site-packages\tensorflow\python\eager\function.py", line 445, in call
    ctx=ctx)

  File "C:\Users\JP\AppData\Local\Programs\Python\Python37\lib\site-packages\tensorflow\python\eager\execute.py", line 67, in quick_execute
    six.raise_from(core._status_to_exception(e.code, message), None)
  File "<string>", line 3, in raise_from
tensorflow.python.framework.errors_impl.InvalidArgumentError:  ConcatOp : Dimensions of inputs should match: shape[0] = [128,100] vs. shape[1] = [14,6]
	 [[node concatenate/concat (defined at model.py:345) ]] [Op:__inference_keras_scratch_graph_1821]

Function call stack:
keras_scratch_graph    return self._call_flat(args)
  File "C:\Users\JP\AppData\Local\Programs\Python\Python37\lib\site-packages\tensorflow\python\eager\function.py", line 671, in _call_flat
    outputs = self._inference_function.call(ctx, args)
  File "C:\Users\JP\AppData\Local\Programs\Python\Python37\lib\site-packages\tensorflow\python\eager\function.py", line 445, in call
    ctx=ctx)
  File "C:\Users\JP\AppData\Local\Programs\Python\Python37\lib\site-packages\tensorflow\python\eager\execute.py", line 67, in quick_execute

    six.raise_from(core._status_to_exception(e.code, message), None)
  File "<string>", line 3, in raise_from
tensorflow.python.framework.errors_impl.InvalidArgumentError:  ConcatOp : Dimensions of inputs should match: shape[0] = [128,100] vs. shape[1] = [14,6]
	 [[node concatenate/concat (defined at model.py:345) ]] [Op:__inference_keras_scratch_graph_1821]


Function call stack:
keras_scratch_graph

Thanks for any help in advance

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