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:
Python 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:
Python 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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