[RLlib](deps): Bump torchvision from 0.9.1 to 0.11.2 in /python/requirements/rllib

[dependabot]

Bumps torchvision from 0.9.1 to 0.11.2.

Release notes

Sourced from torchvision's releases.

Minor bugfix release

This minor release bumps the pinned PyTorch version to v1.10.1 and contains some minor bug fixes.

Highlights

Bug Fixes

• [CI] Fix clang_format issue (#5061)
• [CI, MOBILE] Fix binary_libtorchvision_ops_android job (#5062)
• [CI] Add numpy as explicit dependency to build_cmake.sh (#5065)
• [MODELS] Amend the weights only if quantize=True. (#5066)
• [TRANSFORMS] Fix augmentation space to be uint8 compatible (#5067)
• [DATASETS] Fix WIDERFace download links (#5068)
• [BUILD, WINDOWS] Workaround for loading bundled DLLs (#5094)

Update dependency on wheels to match version in PyPI

Users were reporting issues installing torchvision on PyPI, this release contains an update to the dependencies for wheels to point directly to torch==0.10.0

RegNet, EfficientNet, FX Feature Extraction and more

This release introduces the RegNet and EfficientNet architectures, a new FX-based utility to perform Feature Extraction, new data augmentation techniques such as RandAugment and TrivialAugment, updated training recipes that support EMA, Label Smoothing, Learning-Rate Warmup, Mixup and Cutmix, and many more.

Highlights

New Models

RegNet and EfficientNet are two popular architectures that can be scaled to different computational budgets. In this release we include 22 pre-trained weights for their classification variants. The models were trained on ImageNet and can be used as follows:

import torch
from torchvision import models
x = torch.rand(1, 3, 224, 224)
regnet = models.regnet_y_400mf(pretrained=True)
regnet.eval()
predictions = regnet(x)
efficientnet = models.efficientnet_b0(pretrained=True)
efficientnet.eval()
predictions = efficientnet(x)

The accuracies of the pre-trained models obtained on ImageNet val are seen below (see #4403, #4530 and #4293 for more details)

Model	Acc@1	Acc@5
regnet_x_400mf	72.834	90.95
regnet_x_800mf	75.212	92.348
regnet_x_1_6gf	77.04	93.44
regnet_x_3_2gf	78.364	93.992
regnet_x_8gf	79.344	94.686

... (truncated)

Commits

• e7ec7e2 [Windows] Workaround for loading bundled DLLs (#4893) (#5094)
• 95b26e0 bump pytorch dependency 1.10.0 -> 1.10.1
• 2b3e0a7 fix WIDERFace download links (#4649) (#5068)
• 12f664b Fix augmentation space to be uint8 compatible (#4806) (#5067)
• 2ea7133 Amend the weights only if quantize=True. (#4966) (#5066)
• 73efcc6 Add numpy as explicit dependency to build_cmake.sh (#4987) (#5065)
• 0cac420 Fix binary_libtorchvision_ops_android job (#5062)
• 550d0b5 Add libtinfo5 depedency. (#4931) (#5061)
• cdacbe0 Fix nvjpeg packaging into the wheel (#4752)
• fa347eb [release/0.11] .circleci: Update default pytorch_version to 1.10.0 (#4691)
• Additional commits viewable in compare view

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 @dependabot rebase.

---

Dependabot commands and options

You can trigger Dependabot actions by commenting on this PR:

• @dependabot rebase will rebase this PR
• @dependabot recreate will recreate this PR, overwriting any edits that have been made to it
• @dependabot merge will merge this PR after your CI passes on it
• @dependabot squash and merge will squash and merge this PR after your CI passes on it
• @dependabot cancel merge will cancel a previously requested merge and block automerging
• @dependabot reopen will reopen this PR if it is closed
• @dependabot close will close this PR and stop Dependabot recreating it. You can achieve the same result by closing it manually
• @dependabot ignore this major version will close this PR and stop Dependabot creating any more for this major version (unless you reopen the PR or upgrade to it yourself)
• @dependabot ignore this minor version will close this PR and stop Dependabot creating any more for this minor version (unless you reopen the PR or upgrade to it yourself)
• @dependabot ignore this dependency will close this PR and stop Dependabot creating any more for this dependency (unless you reopen the PR or upgrade to it yourself)

[dependabot]

Superseded by #51.