  # Python | PyTorch atan () method

NumPy | Python Methods and Functions

The ` torch.atan () ` function provides support for the inverse tangent function in PyTorch. This gives the output in radians. Input type — tensor, and if the input contains more than one element, the inverse tangent is calculated for each element.

Syntax : torch.atan (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 reverse tanning function and ` ` # saving the result to & # 39; b & # 39; ` ` b ` ` = ` ` torch.atan (a) ` ` print ` ` (b) `

Exit:

` tensor ([1.0000, -0.5000, 3.4000, 0.2000, 0.0000, -2.0000]) tensor ([0.7854, -0.4636, 1.2847, 0.1974, 0.0000, -1.1071]) `

Code # 2: Vi rendering

 ` # 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 -5 to 5 ` ` a ` ` = ` ` np.linspace (` ` - ` ` 5 ` `, ` ` 5 , 15 ) ``   # Apply the inverse tangent and # save the result to & # 39; b & # 39; b = torch.atan (torch.FloatTensor (a))    print (b)    # Plot plt.plot (a, b.numpy (), color = `red` , marker = "o" )  plt.title ( "torch.atan" )  plt.xlabel ( "X" )  plt.ylabel ( "Y" )    plt.show () `

Exit:

` tensor ([- 1.3734, -1.3416, -1.2978, -1.2341, -1.1342, -0.9601, -0.6202, 0.0000, 0.6202, 0.9601, 1.1342, 1.2341, 1.2978, 1.3416, 1.3734]) `