如何将张量转换为numpy数组matmul的结果

Question

我想将fc1张量转换为numpy数组。如何获取？

fc1 = tf.reshape(conv1, [-1, weights['wd1'].get_shape().as_list()[0]])
fc1 = tf.matmul(fc1, weights['wd1'])

Answer 1

Session.run或eval返回的任何张量都是NumPy数组。所以张量到numpy数组，你可以简单地在转换后的张量上运行.eval((。

即：

sess = tf.Session()
fc1.eval(session=sess)

Answer 2

它会导致此错误

fc1 = tf.reshape(conv1, [-1, weights['wd1'].get_shape().as_list()[0]])
fc1 = tf.matmul(fc1, weights['wd1'])
sess = tf.Session()
fc1.eval(session=sess)
Traceback (most recent call last):
File "C:/Users/ybrot/OneDrive/바탕 화면/QCNN/QCNN.py", line 150, in <module>
logits = conv_net(X, weights, keep_prob)
File "C:/Users/ybrot/OneDrive/바탕 화면/QCNN/QCNN.py", line 114, in conv_net
fc1.eval(session=sess)
File "C:UsersybrotAnaconda3libsite-packagestensorflowpythonframeworkops.py", line 731, in eval
return _eval_using_default_session(self, feed_dict, self.graph, session)
File "C:UsersybrotAnaconda3libsite-packagestensorflowpythonframeworkops.py", line 5579, in _eval_using_default_session
return session.run(tensors, feed_dict)
File "C:UsersybrotAnaconda3libsite-packagestensorflowpythonclientsession.py", line 950, in run
run_metadata_ptr)
File "C:UsersybrotAnaconda3libsite-packagestensorflowpythonclientsession.py", line 1173, in _run
feed_dict_tensor, options, run_metadata)
File "C:UsersybrotAnaconda3libsite-packagestensorflowpythonclientsession.py", line 1350, in _do_run
run_metadata)
File "C:UsersybrotAnaconda3libsite-packagestensorflowpythonclientsession.py", line 1370, in _do_call
raise type(e)(node_def, op, message)
tensorflow.python.framework.errors_impl.InvalidArgumentError: 2 root error(s) found.
(0) Invalid argument: You must feed a value for placeholder tensor 'Placeholder' with dtype float and shape [?,256]
[[node Placeholder (defined at /Users/ybrot/OneDrive/바탕 화면/QCNN/QCNN.py:54) ]]
[[MatMul/_1]]
(1) Invalid argument: You must feed a value for placeholder tensor 'Placeholder' with dtype float and shape [?,256]
[[node Placeholder (defined at /Users/ybrot/OneDrive/바탕 화면/QCNN/QCNN.py:54) ]]
0 successful operations.
0 derived errors ignored.