Returns a tensor with the same data and number of elements asinput(返回与输入具有相同数据和元素数量的张量)but with the specified shape(但是具有指定形状). When possible, the returned tensor will be a view ofinput(如果可能,返回的张量将是输入的视图,也就是说原本的tensor并没有被改变,如果想要改变...
torch.Tensor是torch.empty和torch.tensor之间的一种混合,但是,当传入数据时,torch.Tensor使用全局默认dtype(FloatTensor),torch.tensor从数据中推断数据类型。 torch.tensor(1)返回一个固定值1,而torch.Tensor(1)返回一个大小为1的张量,其是随机初始化的值 t1 = torch.Tensor(1) t2 = torch.tensor(1) print(...
tensor([1,2,3]) b = torch.tensor([4,5,6]) print('a: ',a) print('b: ',b) C = torch.cat((a,b)) print('C: ',C) print('C.shape: ',C.shape) 运行结果如下 a: tensor([1, 2, 3]) b: tensor([4, 5, 6]) C: tensor([1, 2, 3, 4, 5, 6]) C.shape: torch....
🐛 Describe the bug torch.compile returns wrong value for conditional mask tensor operation import torch torch.manual_seed(420) x = torch.randn(1, 3, 2, 2) class Model(torch.nn.Module): def forward(self, x): out = x mask1 = out > 0 out[ma...
tensor([[1,2,3],[4,5,6]]) print(a.shape) b = torch.ones_like(a) print(b) c = torch.zeros_like(a) print(c) 运行结果如下 torch.Size([2, 3]) tensor([[1, 1, 1], [1, 1, 1]]) tensor([[0, 0, 0], [0, 0, 0]]) torch.full/full_like import torch a = torch....
🐛 Describe the bug I was debugging NaNs that occurs in Adam when some gradients contains zeros and I've managed to reduce the problem that torch._foreach_add somehow fails to add constant to all tensors in the list. The following very sm...
2.TensorFlow的类型:tensorflow.python.framework.ops.tensor 图片的计算格式(H,W,C)或者(batch,H,W,C) (1)在元素总数不变的情况下:numpy可以直接作为Tensor的输入,一旦被放在tf的函数下则失去了numpy的使用方法。tf.expand_dims在指定维度增加1维,大小为1;tf.squeeze刚好相反,删掉维度为1的轴(这两个函数可以...
shape和size的区别 shape和size没有什么明显的区别。根本上的区别是什么? shape shape是一个Tensor类中的属性,因为我们用tensor函数创建张量的时候(注意tensor是一个函数,Tensor是一个类),用到了Tensor类,然后创建的实例就可以使用Tensor中的属性 size size是Tensor从上面的类中继承来的一个方法(不必纠结这个)中的一...
Sets the default floating point dtype tod. This type will be used as default floating point type for type inference intorch.tensor(). The default floating point dtype is initiallytorch.float32. Parameters d(torch.dtype) – the floating point dtype to make the default ...
朴素贝叶斯 雄关漫道真如铁,而今迈步从头越。torch.Tensor.view(*shape) x = torch.randn(4, 4) print("x size:",x.size()) y = x.view(16) print("y size:",y.size()) z = x.view(-1, 8) # the size -1 is inferred from other dimensions print("z size:",z.size()) a = ...