Python | PyTorch tan () method

NumPy | Python Methods and Functions

The torch.tan () function provides support for the torch function in PyTorch. It expects input in radians, and output is in the range [-∞, ∞]. Input type — tensor, and if the input contains more than one element, the element-wise tangent is calculated.

Syntax : torch.tan (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:

Exit :

 1.0000 -0.5000 3.4000 -2.1000 0.0000 -6.5000 [torch.FloatTensor of size 6] 1.5574 -0.5463 0.2643 1.7098 0.0000 -0.2203 [torch.FloatTensor of size 6]

Code # 2: Rendering

# PyTorch library import

import torch

   
  # Constant tensor of size 6  
   a   =   torch.FloatTensor ([  1.0  ,   -   0.5  ,   3.4  ,   -   2.1  ,   0.0  ,   -   6.5  ]) 
   print   (a) 
   
  # Apply the tanning function and  
  # save the result to & # 39; b & # 39;  
   b   =   torch.tan (a)   
  print   (b)

# Import PyTorch library

import torch

# Import NumPy library

import numpy as np

# Import matplotlib.pylot function

import matplotlib.pyplot as plt

# Vector size 15 with values from -1 to 1

a = np.linspace ( - 1 , 1 , 15 )

# Applying a tangent function and
# save the result to & # 39; b & # 39;

b = torch.tan (torch.FloatTensor (a))

print (b)

# Plot

plt.plot (a, b.numpy ( ), color = `red` , marker = "o" )

plt.title ( "torch.tan" )

plt.xlabel ( "X" )

plt.ylabel ( "Y" )

plt.show ()

Output:

 -1.5574 -1.1549 -0.8670 -0.6430 -0.4569 -0.2938 -0.1438 0.0000 0.1438 0.2938 0.4569 0.6430 0.8670 1.1549 1.5574 [torch.FloatTensor of size 15]

Python | PyTorch tan () method

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