Pytorch tensor get value by index
WebJan 24, 2024 · torch.manual_seed(seed + rank) train_loader = torch.utils.data.DataLoader(dataset, **dataloader_kwargs) optimizer = optim.SGD(local_model.parameters(), lr=lr, momentum=momentum) local_model.train() pid = os.getpid() for batch_idx, (data, target) in enumerate(train_loader): optimizer.zero_grad() WebDec 14, 2024 · 1 Answer Sorted by: 1 It is more computationally effecient to use the predefined Pytorch function "torch.index_select" to select tensor elements using a list of …
Pytorch tensor get value by index
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Webthere are various ways of creating a sparse DOK tensor: construct with indices and values (similar to torch.sparse_coo_tensor ): indices = torch. arange ( 100, device=device ) [ None ]. expand ( 2, -1 ) values = torch. randn ( 100, device=device ) dok_tensor = SparseDOKTensor ( size= ( 100, 100 ), indices=indices, values=values) WebYou can use x.item() to get a Python number from a tensor that has one element. Convert tensor to numpy: x.numpy()[0] To get a value from single element tensor x.item() works always: Example : Single element tensor on CPU. x = torch.tensor([3]) x.item() Output: 3 . Example : Single element tensor on CPU with AD
Web2 Answers Sorted by: 15 In fact the torch.gather function performs exactly this. For example a = torch.tensor ( [ [1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]]) indices = torch.tensor ( [ [0], [1], [0], [2]]) a.gather (1, indices) will exactly return tensor ( [ [ 1], [ 5], [ 7], [12]]) http://www.iotword.com/3264.html
WebFeb 14, 2024 · Yes indexing is fully differentiable in PyTorch! You can see this if you print out a tensor that you just performed indexing (selecting) on: tensor (..., grad_fn=) Obviously this only back-propagates into the indexed elements with the other elements receiving zero gradient. WebOct 5, 2024 · Use pytorch’s tensor indexing. Because values has shape [3] you will want the two index tensors that you use to index into a to also have shape [3]. Then you can assign …
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, :] …
WebTensor. Tensor，又名张量，读者可能对这个名词似曾相识，因它不仅在PyTorch中出现过，它也是Theano、TensorFlow、 Torch和MxNet中重要的数据结构。. 关于张量的本质不 … butts christineWebJul 15, 2024 · index_tensor = torch.tensor ( [4, 0, 1]).unsqueeze (1) src = 0 dim = 1 print (input_tensor.scatter_ (dim, index_tensor, src)) Note that when src is a scalar, we are actually using the... butt scented candles dogWebinput (Tensor or Scalar) – value (if input is a scalar) or values selected at indices where condition is True. other (Tensor or Scalar) – value (if other is a scalar) or values selected … butts chapelWebtorch.Tensor.indices — PyTorch 2.0 documentation torch.Tensor.indices Tensor.indices() → Tensor Return the indices tensor of a sparse COO tensor. Warning Throws an error if self is not a sparse COO tensor. See also Tensor.values (). Note This method can only be called on a coalesced sparse tensor. See Tensor.coalesce () for details. Next Previous butts chippyWebOct 20, 2024 · The kwargs dict can be used for class labels, in which case the key is "y" and the values are integer tensors of class labels. :param data_dir: a dataset directory. :param batch_size: the batch size of each returned pair. :param image_size: the size to which images are resized. :param class_cond: if True, include a "y" key in returned dicts for … butts chamberWebApr 16, 2024 · edited by pytorch-probot bot Here's one way to obtain the first indices without relying on scatter_ and its non-determinisim: def unique for stable argsort. Just in case for others. It's a bit messy, but okay for evaluating my spconv network. ced hc2dWebJan 24, 2024 · 1 导引. 我们在博客《Python：多进程并行编程与进程池》中介绍了如何使用Python的multiprocessing模块进行并行编程。 不过在深度学习的项目中，我们进行单机 … buttschardt electronic ag