Python – tensorflow.IndexedSlices.dtype 属性
TensorFlow 是由 Google 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用于查找张量中值的类型。
Syntax: tensorflow.IndexedSlices.dtype
Returns: It returns the dtype of elements in the tensor.
示例 1:
Python3
# 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)
Python3
# 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=int32)
dtype:
示例 2:
Python3
# 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: