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  • 91a3fdf13a Accepting request 1198004 from science:machinelearning factory Dominique Leuenberger 2024-09-01 17:22:16 +0000
  • 62aba2ab6b - Enable sle15_python_module_pythons. - GCC 9.3 or newer is required, regardless if CUDA is enabled. See https://github.com/pytorch/pytorch/blob/v2.3.1/CMakeLists.txt#L48 Therefore, for SLE15 we went with GCC 11 as it seems to be the most common one. - Use %gcc_version macro for Tumbleweed. devel Guillaume GARDET 2024-08-31 09:11:26 +0000
  • c138972860 Accepting request 1189413 from science:machinelearning Dominique Leuenberger 2024-07-25 13:38:58 +0000
  • d09e0471f1 more conflicts Christian Goll 2024-07-24 13:17:32 +0000
  • 2d606f83eb make flavors conflicting Christian Goll 2024-07-23 13:10:03 +0000
  • 9c8ce17a59 - update to 2.3.1 with following summarized highlights: * from 2.0.x: - torch.compile is the main API for PyTorch 2.0, which wraps your model and returns a compiled model. It is a fully additive (and optional) feature and hence 2.0 is 100% backward compatible by definition - Accelerated Transformers introduce high-performance support for training and inference using a custom kernel architecture for scaled dot product attention (SPDA). The API is integrated with torch.compile() and model developers may also use the scaled dot product attention kernels directly by calling the new scaled_dot_product_attention() operato * from 2.1.x: - automatic dynamic shape support in torch.compile, torch.distributed.checkpoint for saving/loading distributed training jobs on multiple ranks in parallel, and torch.compile support for the NumPy API. - In addition, this release offers numerous performance improvements (e.g. CPU inductor improvements, AVX512 support, scaled-dot-product-attention support) as well as a prototype release of torch.export, a sound full-graph capture mechanism, and torch.export-based quantization. * from 2.2.x: - 2x performance improvements to scaled_dot_product_attention via FlashAttention-v2 integration, as well as AOTInductor, a new ahead-of-time compilation and deployment tool built for non-python server-side deployments. * from 2.3.x: - support for user-defined Triton kernels in torch.compile, allowing for users to migrate their own Triton kernels from eager without experiencing performance complications or graph breaks. As well, Tensor Parallelism improves the experience for training Large Language Models using native PyTorch functions, which has been validated on training Christian Goll 2024-07-19 12:15:19 +0000
  • 73b1680af3 OBS-URL: https://build.opensuse.org/package/show/science:machinelearning/python-torch?expand=0&rev=31 Guillaume GARDET 2022-05-24 05:53:14 +0000
  • 6fcfa35b32 - Exclude i586 builds for now, they fail with a cryptic return code of 1 from cmake from python. Christian Goll 2020-02-26 13:47:31 +0000
  • 8b57f14a05 and again Christian Goll 2020-02-25 15:18:06 +0000
  • a5cf93a991 and in the releases.hml file * releases.html which is the downloaded releases file Christian Goll 2020-02-25 14:08:41 +0000
  • dbfff1078b removed releases file Christian Goll 2020-02-25 13:59:20 +0000
  • 706aa7d839 added all the removed sources Christian Goll 2020-02-25 12:49:00 +0000
  • aed2b2a069 - updated the requirement for examples and converters Christian Goll 2020-02-25 12:33:19 +0000
  • 0a90b0a626 - updated to stable release 1.4.0, which has as Highlights: * Distributed Model Parallel Training * Pruning functionalities have been added to PyTorch - New Features: * torch.optim.lr_scheduler now support “chaining.” * torch.distributed.rpc is a newly introduced package - full Changelog listed in relases file or under https://github.com/pytorch/pytorch/releases - added files: * skip-third-party-check.patch which is a patch to skip the check of disabled dependencies * QNNPACK-7d2a4e9931a82adc3814275b6219a03e24e36b4c.tar.gz which is part of pytorch but developed in different repo - removed patch files: * fix-build-options.patch * honor-PSIMD-env.patch * removed-some-tests.patch - Requires python-PeachPy on x86_64 only, as it is optional and available on x86_64 only Christian Goll 2020-02-21 15:50:33 +0000
  • 3756bcc792 - updated the requirement for examples and converters Christian Goll 2020-01-14 14:16:39 +0000
  • 10e2e125b6 Requires python-PeachPy on x86_64 only, as it is optional and available on x86_64 only Christian Goll 2020-01-14 14:16:11 +0000
  • 44f43c1784 removed uneeded tar ball of FBGEMM Christian Goll 2019-11-04 14:39:29 +0000
  • 17eb5a3288 updated name for factory submission Christian Goll 2019-11-04 14:27:49 +0000
  • 76615da27f using the right typing extensions Christian Goll 2019-09-04 08:17:31 +0000
  • ba0a6629a5 - moved libraries to seperate package, unfortunatley they have no version, so these are plain .so files - THNN.h and THCUNN.h are interpred by the python and can so not be part of the devel package Christian Goll 2019-08-28 11:58:32 +0000