Join the “Zero to Data Analyst” Bootcamp. Limited seats.

A 20-week program covering 7 courses, 12 assignments, 4 real-world projects, and 12 months of career support.

iqiqi
/
01-pytorch-basics-ipynb-e710a

Created 2 years ago

In [2]:

import jovian 
import torch

In [3]:

# Vector
t2 = torch.tensor([1.,2,3,4])
print(t2)

tensor([1., 2., 3., 4.])

In [4]:

# Matrix
t3 = torch.tensor([[5.,6],[7,8],[9,10]])
print(t3)

tensor([[ 5.,  6.],
        [ 7.,  8.],
        [ 9., 10.]])

In [5]:

# 3-dimensional array
t4 = torch.tensor([
    [[11,12,13],
    [13,14,15]],
    [[15,16,17],
     [17,18,19.]]])
print(t4)

tensor([[[11., 12., 13.],
         [13., 14., 15.]],

        [[15., 16., 17.],
         [17., 18., 19.]]])

In [6]:

import numpy as np
x = np.array([[1,2],[3,4]])
print(x)

[[1 2]
 [3 4]]

In [7]:

y = torch.from_numpy(x)
print(y,type(y))

tensor([[1, 2],
        [3, 4]], dtype=torch.int32) <class 'torch.Tensor'>

In [ ]:

jovian.commit("01-pytorch-basics.ipynb")

[jovian] Saving notebook..

In [ ]:

iqiqi/01-pytorch-basics-ipynb-e710a