Bump torchvision from 0.10.0 to 0.14.0

[dependabot]

Bumps torchvision from 0.10.0 to 0.14.0.

Release notes

Sourced from torchvision's releases.

TorchVision 0.14, including new model registration API, new models, weights, augmentations, and more

Highlights

[BETA] New Model Registration API

Following up on the multi-weight support API that was released on the previous version, we have added a new model registration API to help users retrieve models and weights. There are now 4 new methods under the torchvision.models module: get_model, get_model_weights, get_weight, and list_models. Here are examples of how we can use them:

import torchvision
from torchvision.models import get_model, get_model_weights, list_models
max_params = 5000000
tiny_models = []
for model_name in list_models(module=torchvision.models):
weights_enum = get_model_weights(model_name)
if len([w for w in weights_enum if w.meta["num_params"] <= max_params]) > 0:
tiny_models.append(model_name)
print(tiny_models)
['mnasnet0_5', 'mnasnet0_75', 'mnasnet1_0', 'mobilenet_v2', ...]
model = get_model(tiny_models[0], weights="DEFAULT")
print(sum(x.numel() for x in model.state_dict().values()))
2239188

As of now, this API is still beta and there might be changes in the future in order to improve its usability based on your feedback.

New Architecture and Model Variants

Classification Models

We’ve added the Swin Transformer V2 architecture along with pre-trained weights for its tiny/small/base variants. In addition, we have added support for the MaxViT transformer. Here is an example on how to use the models:

import torch
from torchvision.models import *
image = torch.rand(1, 3, 224, 224)
model = swin_v2_t(weights="DEFAULT").eval()
model = maxvit_t(weights="DEFAULT").eval()
prediction = model(image)
</tr></table>

... (truncated)

Commits

• 5ce4506 Increase inactivity timeout for binary build jobs (#6746) (#6747)
• f15f4e8 Set correct upload channel (#6744)
• 531a2ea Fix for windows and python 3.8 call to add_dll_directory (#6742) (#6743)
• 95bef27 Fix windows python 3.8 required dlls not found (#6715) (#6716)
• 5ff802b Test against torch RC instead of nightly. Bump build version (#6717)
• 3bd6ce9 [bugfix] Fix the output format for VideoClips.subset (#6700) (#6706)
• 8762598 fix bug in output format for pyav (#6672) (#6703)
• dc6d86d fix example galleries in documentation (#6701)
• 673838f Removing prototype related things from release/0.14 branch (#6687)
• 07ae61b Upgrade flake8 to 5.0.4 (#6678)
• Additional commits viewable in compare view

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[dependabot]

Superseded by #418.