tensorlow–python 中的 linspace()
哎哎哎:# t0]https://www.geeksforgeeks.org/tensorlow-linspace-in-python/
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。在多次使用 TensorFlow 时，我们需要在一个时间间隔内生成均匀间隔的值。
- tensorflow. linespace (): This method takes the starting tensor, the ending tensor, the number of values and the axis, and returns a tensor with a specified number of equally spaced values.
例 1:
# importing the library
import tensorflow as tf
# Initializing Input
start = tf.constant(1, dtype = tf.float64)
end = tf.constant(5, dtype = tf.float64)
num = 5
# Printing the Input
print("start: ", start)
print("end: ", end)
print("num: ", num)
# Getting evenly spaced values
res = tf.linspace(start, end, num)
# Printing the resulting tensor
print("Result: ", res)
输出:
start: tf.Tensor(1.0, shape=(), dtype=float64)
end: tf.Tensor(5.0, shape=(), dtype=float64)
num: 5
Result: tf.Tensor([1\. 2\. 3\. 4\. 5.], shape=(5, ), dtype=float64)
示例 2: 该示例使用二维张量，在提供不同的轴值时，将生成不同的张量。这种均匀间隔的值生成类型目前在夜间版本中是允许的。
# importing the library
import tensorflow as tf
# Initializing Input
start = tf.constant((1, 15), dtype = tf.float64)
end = tf.constant((10, 35), dtype = tf.float64)
num = 5
# Printing the Input
print("start: ", start)
print("end: ", end)
print("num: ", num)
# Getting evenly spaced values
res = tf.linspace(start, end, num, axis = 0)
# Printing the resulting tensor
print("Result 1: ", res)
# Getting evenly spaced values
res = tf.linspace(start, end, num, axis = 1)
# Printing the resulting tensor
print("Result 2: ", res)
输出:
start: tf.Tensor([ 1\. 15.], shape=(2, ), dtype=float64)
end: tf.Tensor([10\. 35.], shape=(2, ), dtype=float64)
num: 5
Result 1: tf.Tensor(
[[ 1\. 15\. ]
[ 3.25 20\. ]
[ 5.5 25\. ]
[ 7.75 30\. ]
[10\. 35\. ]], shape=(5, 2), dtype=float64)
Result 2: tf.Tensor(
[[ 1\. 3.25 5.5 7.75 10\. ]
[15\. 20\. 25\. 30\. 35\. ]], shape=(2, 5), dtype=float64)
