无法在文件tensorflow / core / kernels / mkl_slice_op中创建视图图元描述符

此问题是A 'Concatenate' layer should be called on a list of at least 2 inputs的扩展。请先阅读。

使用多个时,我现在收到上述错误 操作“图层”。奇怪的是,当我只使用1个op时,我的代码可以工作 “层”,我不知道为什么。

代码:

#Import statements
import random
import numpy as np
from tensorflow import keras
import tensorflow as tf
from tensorflow.keras import layers as L
from collections import deque
from scipy.special import spence

#Op and conv functions
def op(x,units,kernel,stride,activation):
    x_list = []
    for i in range(units):
        x_list.append(L.Conv2D(1,activation=activation)(x))
    x = L.concatenate(-1)(x_list)

    return x

def conv(x,activation):
    x = L.Conv2D(units,activation=activation)(x)
    return x

#Build_model function
    def build_model(self):
        inputx = L.Input(shape=self.state_size)
        goalx = L.Input(shape=self.state_size)
        x = L.concatenate(-1)([goalx,inputx])
        x = conv(x,4,(5,5),(1,1),activation=swish)
        x = op(x,(2,2),2,activation=swish)
        x = L.flatten()(x)
        outp = L.Dense(self.action_size,activation='softmax')(x)
        valp = L.Dense(1)(x)
        model = keras.models.Model([inputx,goalx],outp)
        critic = keras.models.Model([inputx,valp)
        model.compile(loss='msle',optimizer='adam')
        critic.compile(loss='msle',optimizer='adam')
        return model,critic

跟踪:

2020-01-22 00:12:23.373959: W tensorflow/core/framework/op_kernel.cc:1622] OP_REQUIRES failed at mkl_slice_op.cc:436 : Aborted: Operation received an exception:Status: 5,message: could not create a view primitive descriptor,in file tensorflow/core/kernels/mkl_slice_op.cc:433
2020-01-22 00:12:23.374013: W tensorflow/core/common_runtime/base_collective_executor.cc:216] BaseCollectiveExecutor::StartAbort Aborted: Operation received an exception:Status: 5,in file tensorflow/core/kernels/mkl_slice_op.cc:433
     [[{{node Slice_3}}]]
Traceback (most recent call last):
  File "thoughtform.py",line 76,in <module>
    main_loop()
  File "thoughtform.py",line 70,in main_loop
    dqn.replay(1)
  File "/home/ai/Projects/Thoughtforms/dqn.py",line 75,in replay
    self.model.fit(state,advantage,epochs=1,verbose=0)
  File "/home/ai/anaconda3/lib/python3.7/site-packages/tensorflow_core/python/keras/engine/training.py",line 728,in fit
    use_multiprocessing=use_multiprocessing)
  File "/home/ai/anaconda3/lib/python3.7/site-packages/tensorflow_core/python/keras/engine/training_v2.py",line 324,in fit
    total_epochs=epochs)
  File "/home/ai/anaconda3/lib/python3.7/site-packages/tensorflow_core/python/keras/engine/training_v2.py",line 123,in run_one_epoch
    batch_outs = execution_function(iterator)
  File "/home/ai/anaconda3/lib/python3.7/site-packages/tensorflow_core/python/keras/engine/training_v2_utils.py",line 86,in execution_function
    distributed_function(input_fn))
  File "/home/ai/anaconda3/lib/python3.7/site-packages/tensorflow_core/python/eager/def_function.py",line 457,in __call__
    result = self._call(*args,**kwds)
  File "/home/ai/anaconda3/lib/python3.7/site-packages/tensorflow_core/python/eager/def_function.py",line 520,in _call
    return self._stateless_fn(*args,**kwds)
  File "/home/ai/anaconda3/lib/python3.7/site-packages/tensorflow_core/python/eager/function.py",line 1823,in __call__
    return graph_function._filtered_call(args,kwargs)  # pylint: disable=protected-access
  File "/home/ai/anaconda3/lib/python3.7/site-packages/tensorflow_core/python/eager/function.py",line 1141,in _filtered_call
    self.captured_inputs)
  File "/home/ai/anaconda3/lib/python3.7/site-packages/tensorflow_core/python/eager/function.py",line 1224,in _call_flat
    ctx,args,cancellation_manager=cancellation_manager)
  File "/home/ai/anaconda3/lib/python3.7/site-packages/tensorflow_core/python/eager/function.py",line 511,in call
    ctx=ctx)
  File "/home/ai/anaconda3/lib/python3.7/site-packages/tensorflow_core/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.AbortedError:  Operation received an exception:Status: 5,in file tensorflow/core/kernels/mkl_slice_op.cc:433
     [[node Slice_3 (defined at /home/ai/anaconda3/lib/python3.7/site-packages/tensorflow_core/python/framework/ops.py:1751) ]] [Op:__inference_distributed_function_4600]
a125000178 回答:无法在文件tensorflow / core / kernels / mkl_slice_op中创建视图图元描述符

我遇到了类似的错误。我安装了mkl并将tensorflow更新为2.1.0,从而解决了该问题。

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