The code cannot run properly 我是深度学习和python的初学者，这是我的卷积神经网络的代码。我根本无法理解错误，看起来语法没有任何问题。
Python 3.6.0 |Anaconda custom (x86_64)| (default, Dec 23 2016, 13:19:00)
[GCC 4.2.1 Compatible Apple LLVM 6.0 (clang-600.0.57)] on darwin
Type "help", "copyright", "credits" or "license" for more information.
>>> runfile('/Users/gengyoung/CNN.py', wdir='/Users/gengyoung')
Extracting MNIST_data/train-images-idx3-ubyte.gz
Extracting MNIST_data/train-labels-idx1-ubyte.gz
Extracting MNIST_data/t10k-images-idx3-ubyte.gz
Extracting MNIST_data/t10k-labels-idx1-ubyte.gz
W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE4.1 instructions, but these are available on your machine and could speed up CPU computations.
W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE4.2 instructions, but these are available on your machine and could speed up CPU computations.
W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use AVX instructions, but these are available on your machine and could speed up CPU computations.
W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use AVX2 instructions, but these are available on your machine and could speed up CPU computations.
W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use FMA instructions, but these are available on your machine and could speed up CPU computations.
Traceback (most recent call last):
File "/anaconda/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1022, in _do_call
return fn(*args)
File "/anaconda/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1004, in _run_fn
status, run_metadata)
File "/anaconda/lib/python3.6/contextlib.py", line 89, in __exit__
next(self.gen)
File "/anaconda/lib/python3.6/site-packages/tensorflow/python/framework/errors_impl.py", line 466, in raise_exception_on_not_ok_status
pywrap_tensorflow.TF_GetCode(status))
tensorflow.python.framework.errors_impl.InvalidArgumentError: Incompatible shapes: [800] vs. [50]
[[Node: Equal = Equal[T=DT_INT64, _device="/job:localhost/replica:0/task:0/cpu:0"](ArgMax, ArgMax_1)]]
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/anaconda/lib/python3.6/site-packages/spyder/utils/site/sitecustomize.py", line 866, in runfile
execfile(filename, namespace)
File "/anaconda/lib/python3.6/site-packages/spyder/utils/site/sitecustomize.py", line 102, in execfile
exec(compile(f.read(), filename, 'exec'), namespace)
File "/Users/gengyoung/CNN.py", line 50, in <module>
train_accuracy = accuracy.eval(feed_dict={X:batch[0],y:batch[1],keep_prob:1.0})
File "/anaconda/lib/python3.6/site-packages/tensorflow/python/framework/ops.py", line 567, in eval
return _eval_using_default_session(self, feed_dict, self.graph, session)
File "/anaconda/lib/python3.6/site-packages/tensorflow/python/framework/ops.py", line 3729, in _eval_using_default_session
return session.run(tensors, feed_dict)
File "/anaconda/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 767, in run
run_metadata_ptr)
File "/anaconda/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 965, in _run
feed_dict_string, options, run_metadata)
File "/anaconda/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1015, in _do_run
target_list, options, run_metadata)
File "/anaconda/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1035, in _do_call
raise type(e)(node_def, op, message)
tensorflow.python.framework.errors_impl.InvalidArgumentError: Incompatible shapes: [800] vs. [50]
[[Node: Equal = Equal[T=DT_INT64, _device="/job:localhost/replica:0/task:0/cpu:0"](ArgMax, ArgMax_1)]]
Caused by op 'Equal', defined at:
File "<stdin>", line 1, in <module>
File "/anaconda/lib/python3.6/site-packages/spyder/utils/site/sitecustomize.py", line 866, in runfile
execfile(filename, namespace)
File "/anaconda/lib/python3.6/site-packages/spyder/utils/site/sitecustomize.py", line 102, in execfile
exec(compile(f.read(), filename, 'exec'), namespace)
File "/Users/gengyoung/CNN.py", line 44, in <module>
corrct_prediction = tf.equal(tf.argmax(predict_y,1),tf.argmax(y,1))
File "/anaconda/lib/python3.6/site-packages/tensorflow/python/ops/gen_math_ops.py", line 721, in equal
result = _op_def_lib.apply_op("Equal", x=x, y=y, name=name)
File "/anaconda/lib/python3.6/site-packages/tensorflow/python/framework/op_def_library.py", line 763, in apply_op
op_def=op_def)
File "/anaconda/lib/python3.6/site-packages/tensorflow/python/framework/ops.py", line 2327, in create_op
original_op=self._default_original_op, op_def=op_def)
File "/anaconda/lib/python3.6/site-packages/tensorflow/python/framework/ops.py", line 1226, in __init__
self._traceback = _extract_stack()
InvalidArgumentError (see above for traceback): Incompatible shapes: [800] vs. [50]
[[Node: Equal = Equal[T=DT_INT64, _device="/job:localhost/replica:0/task:0/cpu:0"](ArgMax, ArgMax_1)]]
接下来的错误信息：
<tr class="day-row">
<td class="center" rowspan="4">1</td>
<td class="center" rowspan="2">projekt</td>
<td>ActivityGroupName object</td>
<td>None</td>
<td>0.8</td>
<td class="center" rowspan="4">1.6</td>
<td class="center" rowspan="4"></td>
<td><a>Upravit</a></td>
</tr>
<tr class="day-row">
<td></td>
<td></td>
<td></td>
<td><a>Nový</a></td>
</tr>
<tr class="day-row">
<td class="center" rowspan="2">frontend</td>
<td>ActivityGroupName object</td>
<td>None</td>
<td>0.8</td>
<td><a>Upravit</a></td>
</tr>
<tr class="day-row">
<td></td>
<td></td>
<td></td>
<td><a>Nový</a></td>
</tr>
<tr class="day-row">
<td class="center" rowspan="4">2</td>
<td class="center" rowspan="2">projekt</td>
<td>ActivityGroupName object</td>
<td>None</td>
<td>0.8</td>
<td class="center" rowspan="4">HERE IS BORDER-BOTTOM SHOWN</td>
<td class="center" rowspan="4"></td>
<td><a>Upravit</a></td>
</tr>
<tr class="day-row">
<td></td>
<td></td>
<td></td>
<td><a>Nový</a></td>
</tr>
<tr class="day-row">
<td class="center" rowspan="2">frontend</td>
<td>ActivityGroupName object</td>
<td>None</td>
<td>0.8</td>
<td><a>Upravit</a></td>
</tr>
<tr class="day-row">
<td></td>
<td></td>
<td></td>
<td><a>Nový</a></td>
</tr>
<tr class="day-row">
<td class="center" rowspan="4">3</td>
<td class="center" rowspan="2">projekt</td>
<td>ActivityGroupName object</td>
<td>None</td>
<td>0.8</td>
<td class="center" rowspan="4">1.6</td>
<td class="center" rowspan="4"></td>
<td><a>Upravit</a></td>
</tr>
<tr class="day-row">
<td></td>
<td></td>
<td></td>
<td><a>Nový</a></td>
</tr>
<tr class="day-row">
<td class="center" rowspan="2">frontend</td>
<td>ActivityGroupName object</td>
<td>None</td>
<td>0.8</td>
<td><a>Upravit</a></td>
</tr>
<tr class="day-row">
<td></td>
<td></td>
<td></td>
<td><a>Nový</a></td>
</tr>
</tbody>
</table>
答案 0 :(得分：0)
最大合并功能的滑动窗口的步幅使您返回一个不同的形状张量，乘以预测会给出错误。将其更改为
def max_pool_2x2(X):
return tf.nn.max_pool(X,[1,2,2,1],[1,2,2,1],padding='SAME')
与您的代码保持一致。
我还建议您查看一些关于卷积和最大池的解释和实现，例如this，以了解如何为您的代码更改它。