[tune](deps): Bump torch from 1.8.1 to 1.9.0 in /python/requirements/tune #54

dependabot · 2021-08-30T16:26:47Z

Bumps torch from 1.8.1 to 1.9.0.

Release notes

PyTorch 1.9 Release, including Torch.Linalg and Mobile Interpreter

PyTorch 1.9 Release Notes

Highlights

Backwards Incompatible Change

Deprecations

New Features

Improvements

Bug Fixes

Performance

Documentation

Highlights

We are excited to announce the release of PyTorch 1.9. The release is composed of more than 3,400 commits since 1.8, made by 398 contributors. Highlights include:

Major improvements to support scientific computing, including torch.linalg, torch.special, and Complex Autograd

Major improvements in on-device binary size with Mobile Interpreter

Native support for elastic-fault tolerance training through the upstreaming of TorchElastic into PyTorch Core

Major updates to the PyTorch RPC framework to support large scale distributed training with GPU support

New APIs to optimize performance and packaging for model inference deployment

Support for Distributed training, GPU utilization and SM efficiency in the PyTorch Profiler

We’d like to thank the community for their support and work on this latest release. We’d especially like to thank Quansight and Microsoft for their contributions.

You can find more details on all the highlighted features in the PyTorch 1.9 Release blogpost.

Backwards Incompatible changes

Python API

torch.divide with rounding_mode='floor' now returns infinity when a non-zero number is divided by zero ([#56893](pytorch/pytorch#56893)). This fixes the rounding_mode='floor' behavior to return the same non-finite values as other rounding modes when there is a division by zero. Previously it would always result in a NaN value, but a non-zero number divided by zero should return +/- infinity in IEEE floating point arithmetic. Note this does not effect torch.floor_divide or the floor division operator, which currently use rounding_mode='trunc' (and are also deprecated for that reason).

... (truncated)

Commits

d69c22d [docs] Add torch.package documentation for beta release (#59886)
4ad4f6d hold references to storages during TorchScript serializaiton (#59672)
90e6773 [Release/1.9] Link whole CuDNN for CUDA-11.1 (#59873)
43c581a Make detach return an alias even under inference mode (#59633) (#59757)
bc446f6 Fix test_randperm_device_compatibility for 1 GPU (#59484) (#59502)
abe996a Move CUDA async warning to suffix (#59467) (#59501)
795df76 Do not use gold linker for CUDA builds (#59490) (#59500)
3b9cd08 Prefer accurate reciprocal on ARMv8 (#59361) (#59470)
226c274 Search for static OpenBLAS compiled with OpenMP (#59428) (#59463)
ce24cab Fix torch.randperm for CUDA (#59352) (#59452)
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Bumps [torch](https://github.com/pytorch/pytorch) from 1.8.1 to 1.9.0. - [Release notes](https://github.com/pytorch/pytorch/releases) - [Changelog](https://github.com/pytorch/pytorch/blob/master/RELEASE.md) - [Commits](pytorch/pytorch@v1.8.1...v1.9.0) --- updated-dependencies: - dependency-name: torch dependency-type: direct:production update-type: version-update:semver-minor ... Signed-off-by: dependabot[bot] <support@github.com>

dependabot · 2021-09-21T18:27:54Z