 # Python | PyTorch cos () method

The ` torch.cos () ` function provides support for the cosine function in PyTorch. It expects input in radians, and output is in the range [-1, 1]. Input type — tensor, and if the input contains more than one element, the element-wise cosine is calculated.

Syntax : torch.cos (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] 0.5403 0.8776 -0.9668 -0.5048 1.0000 0.9766 [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)   # Using the cos function and # saving the result to & # 39; b & # 39; b = torch.cos (a) print (b) ```
 ` # Import PyTorch library ` ` import ` ` torch ` ` `  ` # Importing the 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 ` `, < / code> 5 , 15 ) ````   # Applying the cosine function and # save result to & # 39; b & # 39; b = torch.cos (torch.FloatTensor (a))    print (b)    # Plotting plt.plot (a, b.numpy (), color = `red` , marker = "o" )  plt.title ( " torch.cos " )  plt.xlabel ( "X" )  plt.ylabel ( "Y" )    plt.show () ```

Output:

` 0.2837 -0.4138 -0.9090 -0.9598 -0.5414 0.1417 0.7556 1.0000 0.7556 0.1417 -0.5414 -0.9598 -0.9090 -0.4138 0.2837 [torch.FloatTensor of size 15] `