TensorFlow – 如何创建与输入张量具有相同形状的所有张量
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。
Method Used:
- ones_like: This method accepts a Tensor as input and returns a Tensor with same shape having all values set to one.
示例 1:
Python3
# importing the library
import tensorflow as tf
# Initializing the Input
input = tf.constant([[1, 2, 3], [4, 5, 6]])
# Generating Tensor with having all values as 1
res = tf.ones_like(input)
# Printing the resulting Tensors
print("Res: ", res )
Python3
# importing the library
import tensorflow as tf
# Initializing the Input
input = tf.constant([[1, 2, 3], [4, 5, 6]])
# Printing the Input
print("Input: ", input)
# Generating Tensor with having all values as 1
res = tf.ones_like(input, dtype = tf.float64)
# Printing the resulting Tensors
print("Res: ", res )
输出:
Res: tf.Tensor(
[[1 1 1]
[1 1 1]], shape=(2, 3), dtype=int32)
示例 2:此示例明确指定结果张量的类型。
Python3
# importing the library
import tensorflow as tf
# Initializing the Input
input = tf.constant([[1, 2, 3], [4, 5, 6]])
# Printing the Input
print("Input: ", input)
# Generating Tensor with having all values as 1
res = tf.ones_like(input, dtype = tf.float64)
# Printing the resulting Tensors
print("Res: ", res )
输出:
Input: tf.Tensor(
[[1 2 3]
[4 5 6]], shape=(2, 3), dtype=int32)
Res: tf.Tensor(
[[1. 1. 1.]
[1. 1. 1.]], shape=(2, 3), dtype=float64)