Python TensorFlow ``IndexedSlices.dtype`` 属性与实例


发布日期 : 2019-07-10 03:16:38 UTC

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Python – tensorflow.IndexedSlices.dtype 属性

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。

dtype用于查找Tensor中的值的类型。

语法:
tensorflow.IndexedSlices.dtype

返回:它返回张量中元素的 dtype

示例 1:

# 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])

# Finding dtype 
dtype = res.dtype

# Printing the result
print('dtype: ', dtype)

输出:

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

示例 2:

# Importing the library
import tensorflow as tf

# Initializing the input
data = tf.constant([[1, 2, 3], [4, 5, 6]], dtype = tf.float32)

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

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

# Finding dtype 
dtype = res.dtype

# Printing the result
print('dtype: ', dtype)

输出:

data: tf.Tensor(
[[1. 2. 3.]
[4. 5. 6.]], shape=(2, 3), dtype=float32)
dtype: <dtype: 'float32'>