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some error with scope #2

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Bitsy-Chuck opened this issue Aug 1, 2020 · 4 comments
Open

some error with scope #2

Bitsy-Chuck opened this issue Aug 1, 2020 · 4 comments

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@Bitsy-Chuck
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 TypeError: An op outside of the function building code is being passed
    a "Graph" tensor. It is possible to have Graph tensors
    leak out of the function building context by including a
    tf.init_scope in your function building code.
    For example, the following function will fail:
      @tf.function
      def has_init_scope():
        my_constant = tf.constant(1.)
        with tf.init_scope():
          added = my_constant * 2
    The graph tensor has name: model/pconv2d_enc_1/Shape:0

Getting this error while trying to train the code using CLI.
The complete traceback is as follows. Any help is super appreciated

2020-08-02 04:01:27.519864: I tensorflow/core/platform/cpu_feature_guard.cc:143] Your CPU supports instructions that this TensorFlow binary was not compiled to use: SSE4.1 SSE4.2 AVX AVX2 FMA
2020-08-02 04:01:27.541115: I tensorflow/core/platform/profile_utils/cpu_utils.cc:102] CPU Frequency: 2599990000 Hz
2020-08-02 04:01:27.541850: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x5578c71a0d30 initialized for platform Host (this does not guarantee that XLA will be used). Devices:
2020-08-02 04:01:27.541891: I tensorflow/compiler/xla/service/service.cc:176]   StreamExecutor device (0): Host, Default Version
2020-08-02 04:01:27.541986: I tensorflow/core/common_runtime/process_util.cc:147] Creating new thread pool with default inter op setting: 2. Tune using inter_op_parallelism_threads for best performance.
2020-08-02 04:01:28.536401: I tensorflow/core/profiler/lib/profiler_session.cc:159] Profiler session started.
WARNING:tensorflow:From inpainter_main.py:47: Model.fit_generator (from tensorflow.python.keras.engine.training) is deprecated and will be removed in a future version.
Instructions for updating:
Please use Model.fit, which supports generators.
Traceback (most recent call last):
  File "inpainter_main.py", line 47, in <module>
    model.fit_generator(
  File "/home/bitsy-chuck/anaconda3/envs/tensorflow/lib/python3.8/site-packages/tensorflow/python/util/deprecation.py", line 324, in new_func
    return func(*args, **kwargs)
  File "/home/bitsy-chuck/anaconda3/envs/tensorflow/lib/python3.8/site-packages/tensorflow/python/keras/engine/training.py", line 1465, in fit_generator
    return self.fit(
  File "/home/bitsy-chuck/anaconda3/envs/tensorflow/lib/python3.8/site-packages/tensorflow/python/keras/engine/training.py", line 66, in _method_wrapper
    return method(self, *args, **kwargs)
  File "/home/bitsy-chuck/anaconda3/envs/tensorflow/lib/python3.8/site-packages/tensorflow/python/keras/engine/training.py", line 848, in fit
    tmp_logs = train_function(iterator)
  File "/home/bitsy-chuck/anaconda3/envs/tensorflow/lib/python3.8/site-packages/tensorflow/python/eager/def_function.py", line 580, in __call__
    result = self._call(*args, **kwds)
  File "/home/bitsy-chuck/anaconda3/envs/tensorflow/lib/python3.8/site-packages/tensorflow/python/eager/def_function.py", line 627, in _call
    self._initialize(args, kwds, add_initializers_to=initializers)
  File "/home/bitsy-chuck/anaconda3/envs/tensorflow/lib/python3.8/site-packages/tensorflow/python/eager/def_function.py", line 505, in _initialize
    self._stateful_fn._get_concrete_function_internal_garbage_collected(  # pylint: disable=protected-access
  File "/home/bitsy-chuck/anaconda3/envs/tensorflow/lib/python3.8/site-packages/tensorflow/python/eager/function.py", line 2446, in _get_concrete_function_internal_garbage_collected
    graph_function, _, _ = self._maybe_define_function(args, kwargs)
  File "/home/bitsy-chuck/anaconda3/envs/tensorflow/lib/python3.8/site-packages/tensorflow/python/eager/function.py", line 2777, in _maybe_define_function
    graph_function = self._create_graph_function(args, kwargs)
  File "/home/bitsy-chuck/anaconda3/envs/tensorflow/lib/python3.8/site-packages/tensorflow/python/eager/function.py", line 2657, in _create_graph_function
    func_graph_module.func_graph_from_py_func(
  File "/home/bitsy-chuck/anaconda3/envs/tensorflow/lib/python3.8/site-packages/tensorflow/python/framework/func_graph.py", line 981, in func_graph_from_py_func
    func_outputs = python_func(*func_args, **func_kwargs)
  File "/home/bitsy-chuck/anaconda3/envs/tensorflow/lib/python3.8/site-packages/tensorflow/python/eager/def_function.py", line 441, in wrapped_fn
    return weak_wrapped_fn().__wrapped__(*args, **kwds)
  File "/home/bitsy-chuck/anaconda3/envs/tensorflow/lib/python3.8/site-packages/tensorflow/python/framework/func_graph.py", line 968, in wrapper
    raise e.ag_error_metadata.to_exception(e)
TypeError: in user code:

    /home/bitsy-chuck/anaconda3/envs/tensorflow/lib/python3.8/site-packages/tensorflow/python/keras/engine/training.py:571 train_function  *
        outputs = self.distribute_strategy.run(
    /home/bitsy-chuck/Downloads/PConv2D-2ndimp/inpainter_utils/pconv2d_layer.py:71 call  *
        sum_1 = sum_1i * K.ones(K.shape(sum_m))
    /home/bitsy-chuck/anaconda3/envs/tensorflow/lib/python3.8/site-packages/tensorflow/python/keras/backend.py:1365 ones  **
        v = array_ops.ones(shape=shape, dtype=tf_dtype, name=name)
    /home/bitsy-chuck/anaconda3/envs/tensorflow/lib/python3.8/site-packages/tensorflow/python/ops/array_ops.py:2979 ones
        output = fill(shape, constant(one, dtype=dtype), name=name)
    /home/bitsy-chuck/anaconda3/envs/tensorflow/lib/python3.8/site-packages/tensorflow/python/ops/array_ops.py:234 fill
        result = gen_array_ops.fill(dims, value, name=name)
    /home/bitsy-chuck/anaconda3/envs/tensorflow/lib/python3.8/site-packages/tensorflow/python/ops/gen_array_ops.py:3311 fill
        return fill_eager_fallback(
    /home/bitsy-chuck/anaconda3/envs/tensorflow/lib/python3.8/site-packages/tensorflow/python/ops/gen_array_ops.py:3338 fill_eager_fallback
        _result = _execute.execute(b"Fill", 1, inputs=_inputs_flat, attrs=_attrs,
    /home/bitsy-chuck/anaconda3/envs/tensorflow/lib/python3.8/site-packages/tensorflow/python/eager/execute.py:75 quick_execute
        raise e
    /home/bitsy-chuck/anaconda3/envs/tensorflow/lib/python3.8/site-packages/tensorflow/python/eager/execute.py:59 quick_execute
        tensors = pywrap_tfe.TFE_Py_Execute(ctx._handle, device_name, op_name,

    TypeError: An op outside of the function building code is being passed
    a "Graph" tensor. It is possible to have Graph tensors
    leak out of the function building context by including a
    tf.init_scope in your function building code.
    For example, the following function will fail:
      @tf.function
      def has_init_scope():
        my_constant = tf.constant(1.)
        with tf.init_scope():
          added = my_constant * 2
    The graph tensor has name: model/pconv2d_enc_1/Shape:0
@Bitsy-Chuck
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@ezavarygin

@ezavarygin
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Hi @Bitsy-Chuck,

What versions of Tensorflow and Keras do you use?

@Bitsy-Chuck
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tf 1.3
keras 2.2.4

@ezavarygin
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I used 1.13. I suggest downgrading TF to 1.13 and see if the problem remains.

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@ezavarygin @Bitsy-Chuck