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:
Python 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:
Python 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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