import torch
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
print(torch.__version__)

scalar = torch.tensor(7)
scalar

scalar.ndim

scalar.item()

vector = torch.tensor([7, 7])

vector.ndim

vector.shape

MATRIX = torch.tensor[[7, 8],[9, 10]]

MATRIX

MATRIX.ndim

MATRIX[1]

MATRIX.shape

TENSOR = torch.tensor([[[1, 2, 3],
[3, 6, 9],
[2, 4, 5]]])

TENSOR.ndim

TENSOR.shape

TENSOR[0]

random_tensor = torch.rand(3, 4)
random_tensor


random_tensor.ndim

random_image_size_tensor = torch.rand(size=(224, 224, 3))
random_image_size_tensor.shape, random_image_size_tensor.ndim

zeros = torch.zeros(size=(3, 4))
zeros

ones = torch.ones(size=(3, 4))
ones

ones.dtype

random_tensor.dtype

one_to_ten = torch.arange(start=1, end=11, step=1)

ten_zeros = torch.zeros_like(input=one_to_ten)
ten_zeros

float_32_tensor - torch.tensor([3.0, 6.0, 9.0],
dtype=None,
device=None,
requires_grad=False)