torch.argmax. Returns the indices of the maximum value of all elements in the input tensor. This is the second value returned by torch.max (). See its documentation for the exact semantics of this method. If there are multiple maximal values then the indices of the first maximal value are returned. input ( Tensor) – the input tensor.
17.12.2017 · For floating point tensors, I use this to get the index of the element in the tensor.. print((torch.abs((torch.max(your_tensor).item()-your_tensor))<0.0001).nonzero()) Here I want to get the index of max_value in the float tensor, you can also put your value like this to get the index of any elements in tensor.
19.11.2017 · I have a 1D Variable (LongTensor) and i want to find the indices of the elements with a given value (zero). Is there a way to do this efficiently in PyTorch? For instance, in order to get the indices of non-zero elements, i do this: non_zeros = torch.nonzero(lengths_c.view(-1).data).squeeze() I need the opposite of this (indices of zero elements).
12.07.2018 · I'm suggesting to add the following operator to pytorch: result = torch.find(tensor, from_) This operator outputs a long tensor of the same shape as the argument tensor, where the result[i,j,..] is the first index at vector from_ whose v...
Find indices with value (zeros), I have a 1D Variable (LongTensor) and i want to find the indices of the elements with a given value (zero). Is there a way to do this efficiently in Browse other questions tagged python pytorch tensor or ask your own question.
values, indices = tensor.max(0) values, indices = torch.max(tensor, 0). Source:discuss.pytorch.org. 0. Related Searches. index of max in tensorget value of ...
And indices is the index location of each maximum value found (argmax). If keepdim is True, the output tensors are of the same size as input except in the dimension dim where they are of size 1. Otherwise, dim is squeezed (see torch.squeeze()), resulting in the output tensors having 1 fewer dimension than input.