Bump the torch group across 1 directory with 2 updates

[dependabot]

Bumps the torch group with 2 updates in the / directory: torch and torchvision.

Updates torch from 2.1.0 to 2.4.0

Release notes

Sourced from torch's releases.

PyTorch 2.3.1 Release, bug fix release

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

Torch.compile:

• Remove runtime dependency on JAX/XLA, when importing torch.__dynamo (pytorch/pytorch#124634)
• Hide Plan failed with a cudnnException warning (pytorch/pytorch#125790)
• Fix CUDA memory leak (pytorch/pytorch#124238) (pytorch/pytorch#120756)

Distributed:

• Fix format_utils executable, which was causing it to run as a no-op (pytorch/pytorch#123407)
• Fix regression with device_mesh in 2.3.0 during initialization causing memory spikes (pytorch/pytorch#124780)
• Fix crash of FSDP + DTensor with ShardingStrategy.SHARD_GRAD_OP (pytorch/pytorch#123617)
• Fix failure with distributed checkpointing + FSDP if at least 1 forward/backward pass has not been run. (pytorch/pytorch#121544) (pytorch/pytorch#127069)
• Fix error with distributed checkpointing + FSDP, and with use_orig_params = False and activation checkpointing (pytorch/pytorch#124698) (pytorch/pytorch#126935)
• Fix set_model_state_dict errors on compiled module with non-persistent buffer with distributed checkpointing (pytorch/pytorch#125336) (pytorch/pytorch#125337)

MPS:

• Fix data corruption when coping large (>4GiB) tensors (pytorch/pytorch#124635)
• Fix Tensor.abs() for complex (pytorch/pytorch#125662)

Packaging:

• Fix UTF-8 encoding on Windows .pyi files (pytorch/pytorch#124932)
• Fix import torch failure when wheel is installed for a single user on Windows(pytorch/pytorch#125684)
• Fix compatibility with torchdata 0.7.1 (pytorch/pytorch#122616)
• Fix aarch64 docker publishing to https://ghcr.io (pytorch/pytorch#125617)
• Fix performance regression an aarch64 linux (pytorch/builder#1803)

Other:

• Fix DeepSpeed transformer extension build on ROCm (pytorch/pytorch#121030)
• Fix kernel crash on tensor.dtype.to_complex() after ~100 calls in ipython kernel (pytorch/pytorch#125154)

Release tracker pytorch/pytorch#125425 contains all relevant pull requests related to this release as well as links to related issues.

PyTorch 2.3: User-Defined Triton Kernels in torch.compile, Tensor Parallelism in Distributed

PyTorch 2.3 Release notes

• Highlights
• Backwards Incompatible Changes
• Deprecations
• New Features
• Improvements
• Bug fixes
• Performance
• Documentation

Highlights

We are excited to announce the release of PyTorch® 2.3! PyTorch 2.3 offers 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 runs for 100B parameter models.

This release is composed of 3393 commits and 426 contributors since PyTorch 2.2. We want to sincerely thank our dedicated community for your contributions. As always, we encourage you to try these out and report any issues as we improve 2.3. More information about how to get started with the PyTorch 2-series can be found at our Getting Started page.

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Updates torchvision from 0.16.0 to 0.19.0

Release notes

Sourced from torchvision's releases.

TorchVision 0.18.1 Release

This is a patch release, which is compatible with PyTorch 2.3.1. There are no new features added.

TorchVision 0.18 Release

BC-Breaking changes

[datasets] gdown is now a required dependency for downloading datasets that are on Google Drive. This change was actually introduced in 0.17.1 (repeated here for visibility) (#8237) [datasets] The StanfordCars dataset isn’t available for download anymore. Please follow these instructions to manually download it (#8309, #8324) [transforms] to_grayscale and corresponding transform now always return 3 channels when num_output_channels=3 (#8229)

Bug Fixes

[datasets] Fix download URL of EMNIST dataset (#8350) [datasets] Fix root path expansion in Kitti dataset (#8164) [models] Fix default momentum value of BatchNorm2d in MaxViT from 0.99 to 0.01 (#8312) [reference scripts] Fix CutMix and MixUp arguments (#8287) [MPS, build] Link essential libraries in cmake (#8230) [build] Fix build with ffmpeg 6.0 (#8096)

New Features

[transforms] New GrayscaleToRgb transform (#8247) [transforms] New JPEG augmentation transform (#8316)

Improvements

[datasets, io] Added pathlib.Path support to datasets and io utilities. (#8196, #8200, #8314, #8321) [datasets] Added allow_empty parameter to ImageFolder and related utils to support empty classes during image discovery (#8311) [datasets] Raise proper error in CocoDetection when a slice is passed (#8227) [io] Added support for EXIF orientation in JPEG and PNG decoders (#8303, #8279, #8342, #8302) [io] Avoiding unnecessary copies on io.VideoReader with pyav backend (#8173) [transforms] Allow SanitizeBoundingBoxes to sanitize more than labels (#8319) [transforms] Add sanitize_bounding_boxes kernel/functional (#8308) [transforms] Make perspective more numerically stable (#8249) [transforms] Allow 2D numpy arrays as inputs for to_image (#8256) [transforms] Speed-up rotate for 90, 180, 270 degrees (#8295) [transforms] Enabled torch compile on affine transform (#8218) [transforms] Avoid some graph breaks in transforms (#8171) [utils] Add float support to draw_keypoints (#8276) [utils] Add visibility parameter to draw_keypoints (#8225) [utils] Add float support to draw_segmentation_masks (#8150) [utils] Better show overlap section of masks in draw_segmentation_masks (#8213) [Docs] Various documentation improvements (#8341, #8332, #8198, #8318, #8202, #8246, #8208, #8231, #8300, #8197) [code quality] Various code quality improvements (#8273, #8335, #8234, #8345, #8334, #8119, #8251, #8329, #8217, #8180, #8105, #8280, #8161, #8313)

Contributors

We're grateful for our community, which helps us improve torchvision by submitting issues and PRs, and providing feedback and suggestions. The following persons have contributed patches for this release:

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[dependabot]

Superseded by #149.