build(deps): update torch requirement from <2.1.0,>=1.8.1 to >=1.8.1,<2.3.0 in /_requirements #310
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Updates the requirements on [torch](https://github.com/pytorch/pytorch) to permit the latest version. - [Release notes](https://github.com/pytorch/pytorch/releases) - [Changelog](https://github.com/pytorch/pytorch/blob/main/RELEASE.md) - [Commits](pytorch/pytorch@v1.8.1...v2.2.0) --- updated-dependencies: - dependency-name: torch dependency-type: direct:production ... Signed-off-by: dependabot[bot] <support@github.com>
Codecov Report
Additional details and impacted files@@ Coverage Diff @@
## main #310 +/- ##
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Coverage 71% 71%
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Files 2 2
Lines 399 399
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Hits 285 285
Misses 114 114 |
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Updates the requirements on torch to permit the latest version.
Release notes
Sourced from torch's releases.
... (truncated)
Changelog
Sourced from torch's changelog.
... (truncated)
Commits
8ac9b20Run docker release build on final tag (#117131) (#117182)2490352Fix cuInit test on Windows (#117095)3a44bb7[CI] Test that cuInit is not called during import (#117043)1c8ba38[CI] Use jemalloc for CUDA builds (#116900) (#116988)96d2ddbStore user model to simplify ONNXProgram.{adapt_torch_*,call} APIs (#1152...738b4a5Update ONNX's IO Adapter to support FakeTensor with ExportedProgram (#114407)...4cf10bf[Cherry-pick] [Quant] [PT2] Enable batchnorm in _move_exported_model_to_eval ...7e97e4b[AARCH64] Fall back to GEMM if mkldnn_matmul fails (#115936) (#116666)1a3e3c7[CUDA] baddmm should fall back to addmm for batch=1 (#114992) (#116518)ab7505fFix broken PyYAML 6.0 on MacOS x86 (#115956) (#116551)Dependabot will resolve any conflicts with this PR as long as you don't alter it yourself. You can also trigger a rebase manually by commenting
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