If I Pluck Hair Will It Grow Back Thicker Jan 11 2020 nbsp 0183 32 Hi When I computed the gradient of a sparse tensor on GPU I got out of memory issue I need a tensor of size 1 3 224 224 224 224 which only has 1 3 224 224 25
May 14 2022 nbsp 0183 32 It s indeed a problem involving matmul and sparse gradient response from pytorch maintainers said this is more like a new feature needed Answer accepted thanks Oct 21 2022 nbsp 0183 32 Furthermore as illustrated in 41128 quot sparsity preserving gradient quot semantics can be particularly useful to manage memory requirements when dealing with large sparse
If I Pluck Hair Will It Grow Back Thicker
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Performs a matrix multiplication of the sparse matrix mat1 and the sparse or strided matrix mat2 Similar to torch mm if mat1 is a n 215 m n 215 m tensor mat2 is a m 215 p m 215 p tensor out will Feb 1 2024 nbsp 0183 32 Describe the bug When running torch sparse sampled addmm on two dense tensors of size N K and K N where N is large and K is small and the provided mask is very
Sep 20 2023 nbsp 0183 32 I m just checking in to report that I have the exact same issue using sparse dense matrix multiplication torch sparse mm with somewhat large sparse matrices 15000x15000 Aug 23 2021 nbsp 0183 32 I think Pearu s response shows that the autograd engine works with torch sparse mm and sparse COO tensors so closing the issue
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May 12 2023 nbsp 0183 32 I am seeking advice on how to improve the computational efficiency of my approach considering the sparse nature of the gradients I would like to reduce the Jan 2 2025 nbsp 0183 32 Torch sparse mm failing gradient computation at half precision 144040 Open tanayarora09 opened this issue last week 183 0 comments
May 2 2024 nbsp 0183 32 torch sparse mm a1 b As the operation including A2 should use at least the same memory as the operation with A1 due to A2 s construction this is very weird to me Oct 19 2023 nbsp 0183 32 puririshi98 mentioned this on Oct 19 2023 an illegal memory access was encountered in examples rev gnn py when using torch sparse backend pyg
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