Python 如何管理发生以下错误的代码?
我正在我的个人系统中运行生成对抗网络,我得到如下提供的错误,可能是因为GPU访问问题,如本链接所述: 既然我想在我的个人系统中运行与GPU不一致的代码,那么如何管理代码不应访问GPU python代码在以下链接中提供:,其中运行的代码位于pix2pix.py文件中 产生的错误如下:Python 如何管理发生以下错误的代码?,python,tensorflow,keras,Python,Tensorflow,Keras,我正在我的个人系统中运行生成对抗网络,我得到如下提供的错误,可能是因为GPU访问问题,如本链接所述: 既然我想在我的个人系统中运行与GPU不一致的代码,那么如何管理代码不应访问GPU python代码在以下链接中提供:,其中运行的代码位于pix2pix.py文件中 产生的错误如下: C:\ProgramData\Anaconda2\envs\GaitRecognitionCNN-master13\lib\site-packages\keras\engine\training.py:297: Us
C:\ProgramData\Anaconda2\envs\GaitRecognitionCNN-master13\lib\site-packages\keras\engine\training.py:297: UserWarning: Discrepancy between trainable weights and collected trainable weights, did you set `model.trainable` without calling `model.compile` after ?
'Discrepancy between trainable weights and collected trainable'
2020-04-08 17:42:33.366720: W tensorflow/core/common_runtime/base_collective_executor.cc:217] BaseCollectiveExecutor::StartAbort Failed precondition: Error while reading resource variable _AnonymousVar131 from Container: localhost. This could mean that the variable was uninitialized. Not found: Resource localhost/_AnonymousVar131/class tensorflow::Var does not exist.
[[{{node mul_33/ReadVariableOp}}]]
Traceback (most recent call last):
File "H:/data_rar_and_others/Code_For_GAN5/pix2pix.py", line 217, in <module>
gan.train(epochs=220, batch_size=4, sample_interval=50)
File "H:/data_rar_and_others/Code_For_GAN5/pix2pix.py", line 165, in train
d_loss_real = self.discriminator.train_on_batch([imgs_A, imgs_B], valid)
File "C:\ProgramData\Anaconda2\envs\GaitRecognitionCNN-master13\lib\site-packages\keras\engine\training.py", line 1514, in train_on_batch
outputs = self.train_function(ins)
File "C:\ProgramData\Anaconda2\envs\GaitRecognitionCNN-master13\lib\site-packages\tensorflow_core\python\keras\backend.py", line 3727, in __call__
outputs = self._graph_fn(*converted_inputs)
File "C:\ProgramData\Anaconda2\envs\GaitRecognitionCNN-master13\lib\site-packages\tensorflow_core\python\eager\function.py", line 1551, in __call__
return self._call_impl(args, kwargs)
File "C:\ProgramData\Anaconda2\envs\GaitRecognitionCNN-master13\lib\site-packages\tensorflow_core\python\eager\function.py", line 1591, in _call_impl
return self._call_flat(args, self.captured_inputs, cancellation_manager)
File "C:\ProgramData\Anaconda2\envs\GaitRecognitionCNN-master13\lib\site-packages\tensorflow_core\python\eager\function.py", line 1692, in _call_flat
ctx, args, cancellation_manager=cancellation_manager))
File "C:\ProgramData\Anaconda2\envs\GaitRecognitionCNN-master13\lib\site-packages\tensorflow_core\python\eager\function.py", line 545, in call
ctx=ctx)
File "C:\ProgramData\Anaconda2\envs\GaitRecognitionCNN-master13\lib\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.FailedPreconditionError: Error while reading resource variable _AnonymousVar131 from Container: localhost. This could mean that the variable was uninitialized. Not found: Resource localhost/_AnonymousVar131/class tensorflow::Var does not exist.
[[node mul_33/ReadVariableOp (defined at C:\ProgramData\Anaconda2\envs\GaitRecognitionCNN-master13\lib\site-packages\keras\backend\tensorflow_backend.py:3009) ]] [Op:__inference_keras_scratch_graph_6898]
Function call stack:
keras_scratch_graph
当我更改了
from keras.optimizers import Adam
有以下几点
from tensorflow.keras.optimizers import Adam