[tune](deps): Bump torchvision from 0.9.1 to 0.11.1 in /python/requirements/tune

[dependabot]

Bumps torchvision from 0.9.1 to 0.11.1.

Release notes

Sourced from torchvision's releases.

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
regnet_x_16gf	80.058	94.944
regnet_x_32gf	80.622	95.248
regnet_y_400mf	74.046	91.716
regnet_y_800mf	76.42	93.136
regnet_y_1_6gf	77.95	93.966
regnet_y_3_2gf	78.948	94.576
regnet_y_8gf	80.032	95.048
regnet_y_16gf	80.424	95.24
regnet_y_32gf	80.878	95.34
EfficientNet-B0	77.692	93.532
EfficientNet-B1	78.642	94.186
EfficientNet-B2	80.608	95.31
EfficientNet-B3	82.008	96.054
EfficientNet-B4	83.384	96.594

... (truncated)

Commits

• fa347eb [release/0.11] .circleci: Update default pytorch_version to 1.10.0 (#4691)
• 58a60b2 Fixing bug on SSD backbone freezing. (#4591)
• ccf3aa2 Added docs for reference scripts (#4574) (#4575)
• 254a216 Explicitly copying array in pil_to_tensor (#4566) (#4573)
• b13d5ab Fix sphinx-gallery backlinks (#4565) (#4567)
• 8889170 Show PILToTensor in docs (#4546) (#4553)
• af1f22d Update Regnet model weights (#4530) (#4550)
• 95ee60d Fix bug on EMA n_averaged estimation. (#4544) (#4545)
• 1a969c6 Switch testing to torch_test rather than torch_nightly (#4496)
• 0429471 Revert "Update gpu atomics include path (#4478)"
• Additional commits viewable in compare view

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[dependabot]

Superseded by #62.