Returns the total number of elements in the input tensor. Parameters input (Tensor)– the input tensor. Example: 代码语言:javascript 代码运行次数:0 运行 AI代码解释 复制 >>> a = torch.randn(1, 2, 3, 4, 5) >>> torch.numel(a)
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...
If accumulate is True, the elements in tensor are added to self. If accumulate is False, the behavior is undefined if indices contain duplicate elements. Parameters indices (tuple of LongTensor)– tensors used to index into self. value (Tensor)– tensor of same dtype as self. accumulate...
Checks if an object is a tensor. 9. `torch.numel(input)`。 Returns the number of elements in a tensor. 10. `torch.shape(input)`。 Returns the shape of a tensor. Chinese Answer: 1. `torch.allclose(input, other, rtol=1e-05, atol=1e-08)`。 检测两个张量是否近似相等。`rtol`和`...
torch.where(condition, x, y) → Tensor The torch package contains data structures for multi-dimensional tensors and mathematical operations over these are defined. Additionally, it provides many utilities for efficient serializing of Tensors and arbitrary types, and other useful utilities.It has a ...
🐛 Describe the bug I am trying to optimize a code that calls the radius function from pytorch_cluster: import torch from torch_cluster import radius import torch._dynamo as dynamo def myradius(x: torch.Tensor, y: torch.Tensor, r: float, ...
self.add_state('total', default=torch.tensor(0)) def update(self, preds, target): # update correct predictions count self.correct += torch.sum(preds == target) # update total count, numel() returns the total number of elements self.total += target.numel() def compute...
File "<stdin>", line 1, in <module> RuntimeError: inconsistent tensor size, expected tensor [3] and src [4] to have the same number of elements, but got 3 and 4 elements respectively 如果两个参数都是二维张量,那么将返回矩阵乘积。作用与torch.mm()相同,同样要求两个张量的形状需要满足矩阵...
Describe the bug torch.isin(elements=inputs, test_elements=pad_token_id).any() TypeError: isin() received an invalid combination of arguments - got (elements=Tensor, test_elements=int, ), but expected one of: (Tensor elements, Tensor tes...
The std is a tensor with the standard deviation of each output element’s normal distribution The shapes of mean and std don’t need to match, but the total number of elements in each tensor need to be the same. Note When the shapes do not match, the shape of mean is used as the ...