Python – tensorflow.ensure_shape()

TensorFlow是谷歌设计的开源Python库，用于开发机器学习模型和深度学习神经网络。

ensure_shape()用于更新和检查Tensor的形状。

语法: tensorflow.ensure_shape( x, shape, name)

参数:

x:它是输入张量。
shape:它是TensorShape，代表输入张量的形状。
name（可选）:它定义了该操作的名称。

返回值:

它返回一个与x相同的张量，如果形状不兼容，则引发tf.errors.InvalidArgumentError。

示例 1:

# Importing the library
import tensorflow as tf
  
# Initializing the input
x = tf.constant([[2, 3, 6], [4, 8, 15]])
  
# Printing the input
print('x:', x)
  
# Calculating result
res = tf.ensure_shape(x, (2, 3))
  
# Printing the result
print('res: ', res)

输出:

x: tf.Tensor(
[[ 2  3  6]
 [ 4  8 15]], shape=(2, 3), dtype=int32)
res:  tf.Tensor(
[[ 2  3  6]
 [ 4  8 15]], shape=(2, 3), dtype=int32)

例子2：在这个例子中，形状与x的形状不兼容，所以产生了错误。

# Importing the library
import tensorflow as tf
  
# Initializing the input
x = tf.constant([[2, 3, 6], [4, 8, 15]])
  
# Printing the input
print('x:', x)
  
# Calculating result
res = tf.ensure_shape(x, (2, 4))
  
# Printing the result
print('res: ', res)

输出:

x: tf.Tensor(
[[ 2  3  6]
 [ 4  8 15]], shape=(2, 3), dtype=int32)

---------------------------------------------------------------------------

InvalidArgumentError                      Traceback (most recent call last)

<ipython-input-1-ab1be364fadb> in <module>()
      9 
     10 # Calculating result
---> 11 res = tf.ensure_shape(x, (2, 4))
     12 
     13 # Printing the result

3 frames

/usr/local/lib/python3.6/dist-packages/six.py in raise_from(value, from_value)

InvalidArgumentError: Shape of tensor dummy_input [2, 3] is not compatible with expected shape [2, 4]. [Op:EnsureShape]