Python 3.x cuDNN_STATUS_ALLOC_尝试使用tensorflow运行教程CNN时失败

我正在尝试使用卷积神经网络（CNN）运行一个简单的python脚本。每次运行脚本时，我都会遇到以下错误消息

2021-03-10 19:47:03.832061: E tensorflow/stream_executor/cuda/cuda_dnn.cc:328] Could not create cudnn handle: CUDNN_STATUS_ALLOC_FAILED
Traceback (most recent call last):
  File "CNN_trial.py", line 17, in <module>
    outputs = tf.nn.conv2d(images,filters,strides = 1,padding = "SAME")
  File "D:\miniconda3\envs\tensorflow\lib\site-packages\tensorflow\python\util\dispatch.py", line 201, in wrapper
    return target(*args, **kwargs)
  File "D:\miniconda3\envs\tensorflow\lib\site-packages\tensorflow\python\ops\nn_ops.py", line 2158, in conv2d_v2
    return conv2d(input,  # pylint: disable=redefined-builtin
  File "D:\miniconda3\envs\tensorflow\lib\site-packages\tensorflow\python\util\dispatch.py", line 201, in wrapper
    return target(*args, **kwargs)
  File "D:\miniconda3\envs\tensorflow\lib\site-packages\tensorflow\python\ops\nn_ops.py", line 2264, in conv2d
    return gen_nn_ops.conv2d(
  File "D:\miniconda3\envs\tensorflow\lib\site-packages\tensorflow\python\ops\gen_nn_ops.py", line 942, in conv2d
    return conv2d_eager_fallback(
  File "D:\miniconda3\envs\tensorflow\lib\site-packages\tensorflow\python\ops\gen_nn_ops.py", line 1031, in conv2d_eager_fallback
    _result = _execute.execute(b"Conv2D", 1, inputs=_inputs_flat, attrs=_attrs,
  File "D:\miniconda3\envs\tensorflow\lib\site-packages\tensorflow\python\eager\execute.py", line 59, in quick_execute
    tensors = pywrap_tfe.TFE_Py_Execute(ctx._handle, device_name, op_name,
tensorflow.python.framework.errors_impl.UnknownError: Failed to get convolution algorithm. This is probably because cuDNN failed to initialize, so try looking to see if a warning log message was printed above. [Op:Conv2D] 

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似乎我需要设置内存增长。通过在脚本开头添加以下两行。我至少让它跑了

devices = tf.config.list_physical_devices('GPU')
tf.config.experimental.set_memory_growth(devices[0],True)

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您可能还有另一个代码实例仍在运行。因此，原始实例仍在使用GPU，您必须终止该GPU才能执行您想要执行的操作。我是否应该关闭所有可能运行该代码的其他应用程序？我正在使用VS代码，但没有打开另一个IDE运行任何代码。@BrainE可能在一个VS代码窗口中打开多个终端我关闭了除我正在使用的VS代码窗口之外的所有其他VS代码窗口，但仍然收到相同的错误

devices = tf.config.list_physical_devices('GPU')
tf.config.experimental.set_memory_growth(devices[0],True)