来自B站视频，官网教程，API查阅

创建 tensor：

• torch.tensor
• torch.ones_like
• torch.zeros_like
• torch.rand_like
• torch.rand

Returns a tensor filled with random numbers from a uniform distribution on the interval [0, 1)[0,1)

• torch.randn

Returns a tensor filled with random numbers from a normal distribution with mean 0 and variance 1 (also called the standard normal distribution).

• torch.normal(mean,std,size)
• torch.zeros
• torch.arange

torch.range() is deprecated and will be removed in a future release because its behavior is inconsistent with Python’s range builtin. Instead, use torch.arange(), which produces values in [start, end).

• torch.eye
• torch.full([n,n],x)
  移动 tensor

if torch.cuda.is_available():
	tensor=tensor.to('cuda')

tensor 运算

• torch.is_tensor
• torch.numel，返回元素数目

tensor 操作

• torch.cat

除了dim指定的那个维度，其他维度的shape都应该一样

• torch.reshape(a,shape)

shape可以用 [] 或 () 指定

• torch.split(a,size)

按size大小均分或者可以传入list

• torch.squeeze
• troch.tile(a,dims)

扩增a的行列

• torch.transpose(a,dim0,dim1)
• torch.unbind
• torch.unsqueeze(a,dim)

tensor 属性

TENSOR ATTRIBUTES