Python–张量流。索引切片形状属性

原文:https://www.geesforgeks.org/python-tensorflow-indexed slices-shape-attribute/

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。

形状用来得到张量流。张量形状表示稠密张量的形状。

语法:张量流。索引的策略。形状

返回:返回张量流。张量形状表示稠密张量的形状。

例 1:

蟒蛇 3

# Importing the library
import tensorflow as tf

# Initializing the input
data = tf.constant([[1, 2, 3], [4, 5, 6]])

# Printing the input
print('data: ', data)

# Calculating result
res = tf.IndexedSlices(data, [0], tf.constant([1, 2]))

# Finding Shape
shape = res.shape

# Printing the result
print('Shape: ', shape)

输出:

data:  tf.Tensor(
[[1 2 3]
 [4 5 6]], shape=(2, 3), dtype=int32)
Shape:  (1, 2)

例 2:

蟒蛇 3

# Importing the library
import tensorflow as tf

# Initializing the input
data = tf.constant([[1, 2, 3], [4, 5, 6]])

# Printing the input
print('data: ', data)

# Calculating result
res = tf.IndexedSlices(data, [0], tf.constant([1]))

# Finding Shape
shape = res.shape

# Printing the result
print('Shape: ', shape)

输出:

data:  tf.Tensor(
[[1 2 3]
 [4 5 6]], shape=(2, 3), dtype=int32)
Shape:  (1, )

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