這是控制臺包的錯誤

Caused by op 'convolutional/Conv2D', defined at:

? File "D:/Python/Mnist_testdemo2/mnist/convolutional.py", line 12, in <module>

? ? y, variables = model.convolutional(x, keep_prob)

? File "D:\Python\Mnist_testdemo2\mnist\model.py", line 32, in convolutional

? ? h_conv1 = tf.nn.relu(conv2d(x_image, W_conv1) + b_conv1)

? File "D:\Python\Mnist_testdemo2\mnist\model.py", line 15, in conv2d

? ? return tf.nn.conv2d(x, W, strides=[1, 1, 1, 1], padding='SAME')

? File "D:\Programme\Anaconda3\envs\tensorflow\lib\site-packages\tensorflow\python\ops\gen_nn_ops.py", line 1112, in conv2d

? ? data_format=data_format, dilations=dilations, name=name)

? File "D:\Programme\Anaconda3\envs\tensorflow\lib\site-packages\tensorflow\python\framework\op_def_library.py", line 788, in _apply_op_helper

? ? op_def=op_def)

? File "D:\Programme\Anaconda3\envs\tensorflow\lib\site-packages\tensorflow\python\util\deprecation.py", line 507, in new_func

? ? return func(*args, **kwargs)

? File "D:\Programme\Anaconda3\envs\tensorflow\lib\site-packages\tensorflow\python\framework\ops.py", line 3300, in create_op

? ? op_def=op_def)

? File "D:\Programme\Anaconda3\envs\tensorflow\lib\site-packages\tensorflow\python\framework\ops.py", line 1801, in __init__

? ? self._traceback = tf_stack.extract_stack()

ResourceExhaustedError (see above for traceback): OOM when allocating tensor with shape[10000,28,28,32] and type float on /job:localhost/replica:0/task:0/device:CPU:0 by allocator cpu

[[node convolutional/Conv2D (defined at D:\Python\Mnist_testdemo2\mnist\model.py:15) ]]

Hint: If you want to see a list of allocated tensors when OOM happens, add report_tensor_allocations_upon_oom to RunOptions for current allocation info.

Process finished with exit code 1

代碼部分：

1:

File "D:/Python/Mnist_testdemo2/mnist/convolutional.py", line 12, in <module>

? ? y, variables = model.convolutional(x, keep_prob)

對應代碼:

y,?variables?=?model.convolutional(x,?keep_prob)

2:
File?"D:\Python\Mnist_testdemo2\mnist\model.py",?line?32,?in?convolutional????h_conv1?=?tf.nn.relu(conv2d(x_image,?W_conv1)?+?b_conv1)

對應代碼：

h_conv1?=?tf.nn.relu(conv2d(x_image,?W_conv1)?+?b_conv1)

3：

? File "D:\Python\Mnist_testdemo2\mnist\model.py", line 15, in conv2d

? ? return tf.nn.conv2d(x, W, strides=[1, 1, 1, 1], padding='SAME')

對應代碼：

return?tf.nn.conv2d(x,?W,?strides=[1,?1,?1,?1],?padding='SAME')

希望有人能幫我解答一下...謝謝你們