WebSep 18, 2024 · 2 Answers Sorted by: 3 You must provide two lists to your indexing. The first having the row positions and the second the column positions. In your example, it would be: z [ [0, 1, 1], [0, 1, 2]] += 3 torch.Tensor indexing follows Numpy. See … WebIf instead of start_indices and end_indices you were given a list of indices, for example row_indices = torch.cat ( [torch.arange (s, e, dtype=torch.int64) for s, e in zip (start_indices, end_indices)]) Then this would be possible using tensor [row_indices, :] …
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WebMar 28, 2024 · I think there is no direct translation from list.index () to a pytorch function. However, you can achieve similar results using tensor==number and then the nonzero () function. For example: t = torch.Tensor ( [1, 2, 3]) print ( (t == 2).nonzero (as_tuple=True) [0]) This piece of code returns 1 [torch.LongTensor of size 1x1] Share WebApr 12, 2024 · For now I tried to keep things separately by using dictionaries, as my ultimate goal is weighting the loss function according to a specific dataset: def train_dataloader (self): #returns a dict of dataloaders train_loaders = {} for key, value in self.train_dict.items (): train_loaders [key] = DataLoader (value, batch_size = self.batch_size ... most beautiful melody in the world
Index — PyTorch 2.0 documentation
Webfrom __future__ import division, absolute_import, print_function import io import sys import os import re import itertools import warnings import weakref from operator import itemgetter, index as opindex import numpy as np from. import format from._datasource … WebJun 15, 2024 · index_add_(and probably other similar indexing functions like index_copy_, Ps. Not tested) give wrong results when used inside a model which has been wrapped with DataParallel. Even with DataParallelwrapped model, the forward function which may be using index_add_for some kind of calculations should work normally as in the case for … WebTensor.index_put_(indices, values, accumulate=False) → Tensor. Puts values from the tensor values into the tensor self using the indices specified in indices (which is a tuple of Tensors). The expression tensor.index_put_ (indices, values) is equivalent to tensor … most beautiful military uniforms