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# Python | PyTorch acos () method

The ` torch.acos () ` function provides support for the inverse cosine function in PyTorch. The input is assumed to be in the range [-1, 1] and outputs the output in radians. Returns nan, if the input is not in the range [-1, 1]. Input type — tensor, and if the input contains more than one element, the inverse cosine is calculated for each element.

Syntax : torch.acos (x, out = None)

Parameters :
x : Input tensor
name (optional): Output tensor

Return type : A tensor with the same type as that of x.

Code # 1:

 ` # PyTorch library import ` ` import ` ` torch `   ` # Constant tensor of size 6 ` ` a ` ` = ` ` torch.FloatTensor ([` ` 1.0 ` `, ` ` - ` ` 0.5 ` `, ` ` 3.4 ` `, ` ` 0.2 ` `, ` ` 0.0 ` `, ` ` - ` ` 2 ` `]) ` ` print ` ` (a) `   ` # Applying the inverse cos and ` ` # saving the result to & # 39; b & # 39; ` ` b ` ` = ` ` torch.acos (a) ` ` print ` ` (b) `

Exit:

` tensor ([1.0000, -0.5000, 3.4000, 0.2000, 0.0000, -2.0000]) tensor ([0.0000, 2.0944, nan, 1.3694, 1.5708, nan]) `

Code # 2: Visualization

 ` # Import PyTorch library ` ` import ` ` torch `   ` # Import NumPy library ` ` import ` ` numpy as np ` ` `  ` # Import of the matplotlib.pylot function ` ` import ` ` matplotlib.pyplot as plt `   ` # Vector size 15 with values ​​from - 1 to 1 ` ` a ` ` = ` ` np. linspace (` ` - ` ` 1 ` `, ` ` 1 ` `, ` ` 15 ` `) `   ` # Applying the inverse cosine function and ` ` # saving the result to & # 39; b & # 39; ` ` b ` ` = ` ` torch. acos (torch.FloatTensor (a)) `   ` print ` ` (b) `   ` # Plotting ` ` plt.plot (a, b.numpy (), color ` ` = ` ` ’red’ ` `, marker ` ` = ` ` "o" ` `) ` ` plt.title (` `" torch.acos "` `) ` plt.xlabel ( ` "X" ` `) ` ` plt.ylabel (` ` "Y" ` `) `   ` plt.show () `

Exit:

` tensor ([3.1416, 2.6005, 2.3664, 2.1790, 2.0137, 1.8605, 1.7141, 1.5708, 1.4274, 1.2810, 1.1279, 0.9626, 0.7752, 0.5411, 0.0000]) `

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