Python–张量流。索引碎片密集形状属性

原文:https://www.geesforgeks.org/python-tensorflow-indexed slices-dense_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。

稠密_形状返回一个包含相应稠密张量形状的一维张量。

语法:张量流。IndexedSlices .密集形状

返回:返回一维张量。

例 1:

蟒蛇 3

# Importing the library
import tensorflow as tf

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

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

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

# Finding dense shape
dense = res.dense_shape

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

输出:

data:  tf.Tensor([1 2 3], shape=(3, ), dtype=int32)
dense shape:  2

例 2:

蟒蛇 3

# Importing the library
import tensorflow as tf

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

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

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

# Finding dense shape
dense = res.dense_shape

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

输出:

data:  tf.Tensor([1 2 3], shape=(3, ), dtype=int32)
dense shape:  None

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