mltu/Tutorials /01_image_to_word

Hey

I use tensorflow 2.4.1 and must change "import keras" to "import tensorflow.keras"

Now i have the follow issues in train.py "model.fit" so in model.py

Epoch 1/100 Traceback (most recent call last): File "c:/Tutorials/TensorFlow/image_to_word/train.py", line 109, in model.fit( File "C:\appdata\local\programs\python\python38\lib\site-packages\tensorflow\python\keras\engine\training.py", line 1100, in fit tmp_logs = self.train_function(iterator) File "C:\appdata\local\programs\python\python38\lib\site-packages\tensorflow\python\eager\def_function.py", line 828, in call result = self._call(*args, kwds) File "C:\appdata\local\programs\python\python38\lib\site-packages\tensorflow\python\eager\def_function.py", line 871, in _call self._initialize(args, kwds, add_initializers_to=initializers) File "C:\appdata\local\programs\python\python38\lib\site-packages\tensorflow\python\eager\def_function.py", line 725, in _initialize
self._stateful_fn._get_concrete_function_internal_garbage_collected( # pylint: disable=protected-access File "C:\appdata\local\programs\python\python38\lib\site-packages\tensorflow\python\eager\function.py", line 2969, in _get_concrete_function_internal_garbage_collected graphfunction, = self._maybe_define_function(args, kwargs) File "C:\appdata\local\programs\python\python38\lib\site-packages\tensorflow\python\eager\function.py", line 3361, in _maybe_define_function graph_function = self._create_graph_function(args, kwargs) File "C:\appdata\local\programs\python\python38\lib\site-packages\tensorflow\python\eager\function.py", line 3196, in _create_graph_function func_graph_module.func_graph_from_py_func( File "C:\appdata\local\programs\python\python38\lib\site-packages\tensorflow\python\framework\func_graph.py", line 990, in func_graph_from_py_func func_outputs = python_func(*func_args, *func_kwargs) File "C:\appdata\local\programs\python\python38\lib\site-packages\tensorflow\python\eager\def_function.py", line 634, in wrapped_fn out = weak_wrapped_fn().wrapped(args, kwds) File "C:\appdata\local\programs\python\python38\lib\site-packages\tensorflow\python\framework\func_graph.py", line 977, in wrapper raise e.ag_error_metadata.to_exception(e) TypeError: in user code:

C:\appdata\local\programs\python\python38\lib\site-packages\tensorflow\python\keras\engine\training.py:805 train_function  *
    return step_function(self, iterator)
C:e\appdata\local\programs\python\python38\lib\site-packages\tensorflow\python\keras\engine\training.py:795 step_function  **
    outputs = model.distribute_strategy.run(run_step, args=(data,))
C:\appdata\local\programs\python\python38\lib\site-packages\tensorflow\python\distribute\distribute_lib.py:1259 run
    return self._extended.call_for_each_replica(fn, args=args, kwargs=kwargs)
C:\appdata\local\programs\python\python38\lib\site-packages\tensorflow\python\distribute\distribute_lib.py:2730 call_for_each_replica
    return self._call_for_each_replica(fn, args, kwargs)
C:\appdata\local\programs\python\python38\lib\site-packages\tensorflow\python\distribute\distribute_lib.py:3417 _call_for_each_replica
    return fn(*args, **kwargs)
C:\appdata\local\programs\python\python38\lib\site-packages\tensorflow\python\keras\engine\training.py:788 run_step  **
    outputs = model.train_step(data)
C:\appdata\local\programs\python\python38\lib\site-packages\tensorflow\python\keras\engine\training.py:759 train_step
    return {m.name: m.result() for m in self.metrics}
C:\appdata\local\programs\python\python38\lib\site-packages\tensorflow\python\keras\engine\training.py:759 <dictcomp>
    return {m.name: m.result() for m in self.metrics}
C:\appdata\local\programs\python\python38\lib\site-packages\tensorflow\python\keras\utils\metrics_utils.py:122 decorated
    result_t = array_ops.identity(result_fn(*args))
C:\appdata\local\programs\python\python38\lib\site-packages\tensorflow\python\util\dispatch.py:201 wrapper
    return target(*args, **kwargs)
C:\appdata\local\programs\python\python38\lib\site-packages\tensorflow\python\ops\array_ops.py:287 identity
    ret = gen_array_ops.identity(input, name=name)
C:\appdata\local\programs\python\python38\lib\site-packages\tensorflow\python\ops\gen_array_ops.py:3941 identity
    _, _, _op, _outputs = _op_def_library._apply_op_helper(
C:\appdata\local\programs\python\python38\lib\site-packages\tensorflow\python\framework\op_def_library.py:525 _apply_op_helper
    raise err
C:\appdata\local\programs\python\python38\lib\site-packages\tensorflow\python\framework\op_def_library.py:517 _apply_op_helper
    values = ops.convert_to_tensor(
C:\appdata\local\programs\python\python38\lib\site-packages\tensorflow\python\profiler\trace.py:163 wrapped
    return func(*args, **kwargs)
C:\appdata\local\programs\python\python38\lib\site-packages\tensorflow\python\framework\ops.py:1540 convert_to_tensor
    ret = conversion_func(value, dtype=dtype, name=name, as_ref=as_ref)
C:\appdata\local\programs\python\python38\lib\site-packages\tensorflow\python\framework\constant_op.py:339 _constant_tensor_conversion_function
    return constant(v, dtype=dtype, name=name)
C:\appdata\local\programs\python\python38\lib\site-packages\tensorflow\python\framework\constant_op.py:264 constant
    return _constant_impl(value, dtype, shape, name, verify_shape=False,
C:\appdata\local\programs\python\python38\lib\site-packages\tensorflow\python\framework\constant_op.py:281 _constant_impl
    tensor_util.make_tensor_proto(
C:\appdata\local\programs\python\python38\lib\site-packages\tensorflow\python\framework\tensor_util.py:457 make_tensor_proto
    _AssertCompatible(values, dtype)
C:\appdata\local\programs\python\python38\lib\site-packages\tensorflow\python\framework\tensor_util.py:334 _AssertCompatible
    raise TypeError("Expected any non-tensor type, got a tensor instead.")

TypeError: Expected any non-tensor type, got a tensor instead.

pythonlessons / mltu

mltu/Tutorials /01_image_to_word #47