如何将Tensorflow张量的维度（shape）作为整数值获取？

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如何将Tensorflow张量的维度（shape）作为整数值获取？

假设我有一个Tensorflow张量。我如何将张量的维度（形状）作为整数值获取？我知道有两种方法，tensor.get_shape()和tf.shape(tensor)，但我无法将形状值作为整数int32值获取。

例如，下面我创建了一个二维张量，我需要将行数和列数作为int32，以便我可以调用reshape()创建形状为(num_rows * num_cols, 1)的张量。然而，方法tensor.get_shape()返回的是Dimension类型的值，而不是int32。

import tensorflow as tf

import numpy as np

sess = tf.Session()

tensor = tf.convert_to_tensor(np.array([[1001,1002,1003],[3,4,5]]), dtype=tf.float32)

sess.run(tensor)

# array([[ 1001., 1002., 1003.],

# [ 3., 4., 5.]], dtype=float32)

tensor_shape = tensor.get_shape()

tensor_shape

# TensorShape([Dimension(2), Dimension(3)])

print tensor_shape

# (2, 3)

num_rows = tensor_shape[0] # ???

num_cols = tensor_shape[1] # ???

tensor2 = tf.reshape(tensor, (num_rows*num_cols, 1))

# Traceback (most recent call last):

# File "", line 1, in

# File "/usr/local/lib/python2.7/site-packages/tensorflow/python/ops/gen_array_ops.py", line 1750, in reshape

# name=name)

# File "/usr/local/lib/python2.7/site-packages/tensorflow/python/framework/op_def_library.py", line 454, in apply_op

# as_ref=input_arg.is_ref)

# File "/usr/local/lib/python2.7/site-packages/tensorflow/python/framework/ops.py", line 621, in convert_to_tensor

# ret = conversion_func(value, dtype=dtype, name=name, as_ref=as_ref)

# File "/usr/local/lib/python2.7/site-packages/tensorflow/python/framework/constant_op.py", line 180, in _constant_tensor_conversion_function

# return constant(v, dtype=dtype, name=name)

# File "/usr/local/lib/python2.7/site-packages/tensorflow/python/framework/constant_op.py", line 163, in constant

# tensor_util.make_tensor_proto(value, dtype=dtype, shape=shape))

# File "/usr/local/lib/python2.7/site-packages/tensorflow/python/framework/tensor_util.py", line 353, in make_tensor_proto

# _AssertCompatible(values, dtype)

# File "/usr/local/lib/python2.7/site-packages/tensorflow/python/framework/tensor_util.py", line 290, in _AssertCompatible

# (dtype.name, repr(mismatch), type(mismatch).__name__))

# TypeError: Expected int32, got Dimension(6) of type 'Dimension' instead.

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