How to efficiently multiply by torch tensor with repeated rows without storing all the rows in memory or iterating? Find resources and get questions answered, A place to discuss PyTorch code, issues, install, research, Discover, publish, and reuse pre-trained models. To analyze traffic and optimize your experience, we serve cookies on this site. In fact I want to perform a 2D convolution with a sparse filter matrix. How do the interferometers on the drag-free satellite LISA receive power without altering their geodesic trajectory? a = (torch.rand (3,4) > 0.5).to_sparse () ''' tensor (indices=tensor ( [ [0, 0, 2, 2, 2], [0, 3, 0, 1, 2]]), values=tensor ( [1, 1, 1, 1, 1]), size= (3, 4), nnz=5, dtype=torch.uint8, layout=torch.sparse_coo) ''' a.values () [0] = 0 ''' tensor (indices=tensor ( [ [0, 0, 2, 2, 2], [0, 3, 0, 1, 2]]), values=tensor ( [0, 1, 1, 1, 1]), size= (3, 4), To analyze traffic and optimize your experience, we serve cookies on this site. torch.random PyTorch 2.0 documentation Learn about PyTorchs features and capabilities. Can I ask whats your use case? Next Previous Copyright 2022, PyTorch Contributors. Default: as returned by torch.sparse.check_sparse_tensor_invariants.is_enabled(), torch.sparse_csc, torch.sparse_bsr, or By clicking or navigating, you agree to allow our usage of cookies. returned tensor. The PyTorch Foundation is a project of The Linux Foundation. Save and categorize content based on your preferences. Returns a sparse tensor with the specified layout and blocksize. Identify blue/translucent jelly-like animal on beach, Simple deform modifier is deforming my object. PyTorch 2d Convolution with sparse filters - Stack Overflow is strided, then the number of dense dimensions could be specified, layout (torch.layout, optional) The desired sparse Site design / logo 2023 Stack Exchange Inc; user contributions licensed under CC BY-SA. If you're using TensorFlow 2.4 or above, use tf.sparse.map_values for elementwise operations on nonzero values in sparse tensors.
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