Files
AiLearning/e1_preliminaries_ndarray.py
2025-11-07 15:07:57 +08:00

38 lines
876 B
Python

import torch
def main():
print('===== Chapter 1 =====')
chapter_1()
def chapter_1():
x = torch.arange(12)
print(f'x: {x}')
print(f'x.shape: {x.shape}')
print(f'x.numel(): {x.numel()}')
xs = x.reshape(3, 4)
print(f'x.reshape: {xs}')
xs = x.reshape(-1, 4)
print(f'x.reshape auto 1: {xs}')
xs = x.reshape(3, -1)
print(f'x.reshape auto 2: {xs}')
zeros = torch.zeros((2, 3, 4))
print(f'zeros: {zeros}')
ones = torch.ones((2, 3, 4))
print(f'ones: {ones}')
randoms = torch.randn(3, 4)
print(f'randn: {randoms}')
manual = torch.tensor([[2, 1, 4, 3], [1, 2, 3, 4], [4, 3, 2, 1]])
print(f'manual: {manual}')
# 看起来reshape第一个是行数
manual = torch.tensor([2, 1, 4, 3, 1, 2, 3, 4, 4, 3, 2, 1]).reshape(3, -1)
print(f'manual: {manual}')
if __name__ == "__main__":
main()