Bump torch from 1.7.1 to 1.13.1 in /sagemaker-clarify/text_explainability/code #3737

dependabot · 2023-01-13T06:34:14Z

Bumps torch from 1.7.1 to 1.13.1.

Release notes

PyTorch 1.13.1 Release, small bug fix release

This release is meant to fix the following issues (regressions / silent correctness):

RuntimeError by torch.nn.modules.activation.MultiheadAttention with bias=False and batch_first=True #88669

Installation via pip on Amazon Linux 2, regression #88869

Installation using poetry on Mac M1, failure #88049

Missing masked tensor documentation #89734

torch.jit.annotations.parse_type_line is not safe (command injection) #88868

Use the Python frame safely in _pythonCallstack #88993

Double-backward with full_backward_hook causes RuntimeError #88312

Fix logical error in get_default_qat_qconfig #88876

Fix cuda/cpu check on NoneType and unit test #88854 and #88970

Onnx ATen Fallback for BUILD_CAFFE2=0 for ONNX-only ops #88504

Onnx operator_export_type on the new registry #87735

torchrun AttributeError caused by file_based_local_timer on Windows #85427

The release tracker should contain all relevant pull requests related to this release as well as links to related issues

PyTorch 1.13: beta versions of functorch and improved support for Apple’s new M1 chips are now available

Pytorch 1.13 Release Notes

Highlights

Backwards Incompatible Changes

New Features

Improvements

Performance

Documentation

Developers

Highlights

We are excited to announce the release of PyTorch 1.13! This includes stable versions of BetterTransformer. We deprecated CUDA 10.2 and 11.3 and completed migration of CUDA 11.6 and 11.7. Beta includes improved support for Apple M1 chips and functorch, a library that offers composable vmap (vectorization) and autodiff transforms, being included in-tree with the PyTorch release. This release is composed of over 3,749 commits and 467 contributors since 1.12.1. We want to sincerely thank our dedicated community for your contributions.

Summary:

The BetterTransformer feature set supports fastpath execution for common Transformer models during Inference out-of-the-box, without the need to modify the model. Additional improvements include accelerated add+matmul linear algebra kernels for sizes commonly used in Transformer models and Nested Tensors is now enabled by default.

Timely deprecating older CUDA versions allows us to proceed with introducing the latest CUDA version as they are introduced by Nvidia®, and hence allows support for C++17 in PyTorch and new NVIDIA Open GPU Kernel Modules.

Previously, functorch was released out-of-tree in a separate package. After installing PyTorch, a user will be able to import functorch and use functorch without needing to install another package.

PyTorch is offering native builds for Apple® silicon machines that use Apple's new M1 chip as a beta feature, providing improved support across PyTorch's APIs.

Stable Beta Prototype

Better TransformerCUDA 10.2 and 11.3 CI/CD Deprecation Enable Intel® VTune™ Profiler's Instrumentation and Tracing Technology APIsExtend NNC to support channels last and bf16Functorch now in PyTorch Core LibraryBeta Support for M1 devices Arm® Compute Library backend support for AWS Graviton CUDA Sanitizer

You can check the blogpost that shows the new features here.

Backwards Incompatible changes

... (truncated)

Changelog

Sourced from torch's changelog.

Releasing PyTorch

General Overview

Cutting a release branch preparations

Cutting release branches

pytorch/pytorch

pytorch/builder / PyTorch domain libraries

Making release branch specific changes for PyTorch

Making release branch specific changes for domain libraries

Drafting RCs (https://github.com/pytorch/pytorch/blob/master/Release Candidates) for PyTorch and domain libraries

Release Candidate Storage

Release Candidate health validation

Cherry Picking Fixes

Promoting RCs to Stable

Additional Steps to prepare for release day

Modify release matrix

Open Google Colab issue

Patch Releases

Patch Release Criteria

Patch Release Process

Triage

Issue Tracker for Patch releases

Building a release schedule / cherry picking

Building Binaries / Promotion to Stable

Hardware / Software Support in Binary Build Matrix

Python

TL;DR

Accelerator Software

Special support cases

Special Topics

Updating submodules for a release

General Overview

Releasing a new version of PyTorch generally entails 3 major steps:

Cutting a release branch preparations

Cutting a release branch and making release branch specific changes

Drafting RCs (Release Candidates), and merging cherry picks

Promoting RCs to stable and performing release day tasks

Cutting a release branch preparations

Following Requirements needs to be met prior to final RC Cut:

Resolve all outstanding issues in the milestones(for example 1.11.0)before first RC cut is completed. After RC cut is completed following script should be executed from builder repo in order to validate the presence of the fixes in the release branch :

... (truncated)

Commits

49444c3 [BE] Do not package caffe2 in wheel (#87986) (#90433)
56de8a3 Add manual cuda deps search logic (#90411) (#90426)
a4d16e0 Fix ATen Fallback for BUILD_CAFFE2=0 for ONNX-only ops (#88504) (#90104)
80abad3 Handle Tensor.deepcopy via clone(), on IPU (#89129) (#89999)
73a852a [Release only change] Fix rocm5.1.1 docker image (#90321)
029ec16 Add platform markers for linux only extra_install_requires (#88826) (#89924)
197c5c0 Fix cuda/cpu check on NoneType (#88854) (#90068)
aadbeb7 Make TorchElastic timer importable on Windows (#88522) (#90045)
aa94433 Mark IPU device as not supports_as_strided (#89130) (#89998)
59b4f3b Use the Python frame safely in _pythonCallstack (#89997)
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sagemaker-bot · 2023-01-13T06:36:09Z

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Bumps [torch](https://github.com/pytorch/pytorch) from 1.7.1 to 1.13.1. - [Release notes](https://github.com/pytorch/pytorch/releases) - [Changelog](https://github.com/pytorch/pytorch/blob/master/RELEASE.md) - [Commits](pytorch/pytorch@v1.7.1...v1.13.1) --- updated-dependencies: - dependency-name: torch dependency-type: direct:production ... Signed-off-by: dependabot[bot] <[email protected]>

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dependabot bot added the type: dependencies Pull requests that update a dependency file label Jan 13, 2023

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knikure approved these changes Jan 19, 2024

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knikure merged commit 9ea7922 into main Jan 19, 2024

knikure deleted the dependabot/pip/sagemaker-clarify/text_explainability/code/torch-1.13.1 branch January 19, 2024 23:42

Bump torch from 1.7.1 to 1.13.1 in /sagemaker-clarify/text_explainability/code #3737

Bump torch from 1.7.1 to 1.13.1 in /sagemaker-clarify/text_explainability/code #3737

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PyTorch 1.13.1 Release, small bug fix release

PyTorch 1.13: beta versions of functorch and improved support for Apple’s new M1 chips are now available

Pytorch 1.13 Release Notes

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Backwards Incompatible changes

Releasing PyTorch

General Overview

Cutting a release branch preparations

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sagemaker-bot commented Jan 18, 2023

AWS CodeBuild CI Report

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sagemaker-bot commented Jan 18, 2023

AWS CodeBuild CI Report

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sagemaker-bot commented Jan 18, 2023

AWS CodeBuild CI Report

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sagemaker-bot commented Jan 23, 2023

AWS CodeBuild CI Report

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sagemaker-bot commented Jan 23, 2023

AWS CodeBuild CI Report

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sagemaker-bot commented Jan 23, 2023

AWS CodeBuild CI Report

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sagemaker-bot commented Jan 23, 2023

AWS CodeBuild CI Report

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sagemaker-bot commented Jan 25, 2023

AWS CodeBuild CI Report

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sagemaker-bot commented Jan 25, 2023

AWS CodeBuild CI Report

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sagemaker-bot commented Jan 25, 2023

AWS CodeBuild CI Report

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sagemaker-bot commented Jan 25, 2023

AWS CodeBuild CI Report

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sagemaker-bot commented Jan 26, 2023

AWS CodeBuild CI Report

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sagemaker-bot commented Jan 26, 2023

AWS CodeBuild CI Report

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sagemaker-bot commented Jan 26, 2023

AWS CodeBuild CI Report

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sagemaker-bot commented Jan 26, 2023

AWS CodeBuild CI Report

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sagemaker-bot commented Feb 2, 2023

AWS CodeBuild CI Report

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sagemaker-bot commented Feb 2, 2023

AWS CodeBuild CI Report

dependabot bot commented on behalf of github Jan 13, 2023 •

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