Fix hashes of efficientnet weights

[NicolasHug]

Fixes #8034

I doubled checked that all models are OK now:

import torchvision.models


problems = []
for name in torchvision.models.list_models():
    print(name)
    kwargs = {"quantize": True} if "quantized" in name else dict()
    for weights in torchvision.models.get_model_weights(name):
        print(weights)
        try:
            torchvision.models.get_model(name, weights=weights, **kwargs)
        except RuntimeError as e:
            problems.append((name, weights, e))
            print(e)

print("Following models need to be fixed:")
for name, weights, e in problems:
    print(name, weights, e)

Gives nothing:

...
Following models need to be fixed:

[pytorch-bot]

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❌ 13 New Failures, 9 Unrelated Failures

As of commit 3a9f1d0 with merge base 0f74907 ():

NEW FAILURES - The following jobs have failed:

• CMake / macos (macos-12) / macos-job (gh)
• CMake / macos (macos-m1-12) / macos-job (gh)
• CMake / windows (windows.4xlarge, cpu) / windows-job (gh)
• Tests / unittests-macos (3.10, macos-12) / macos-job (gh)
• Tests / unittests-macos (3.11, macos-12) / macos-job (gh)
• Tests / unittests-macos (3.8, macos-12) / macos-job (gh)
• Tests / unittests-macos (3.8, macos-m1-12) / macos-job (gh)
• Tests / unittests-macos (3.9, macos-12) / macos-job (gh)
• Tests / unittests-windows (3.10, windows.4xlarge, cpu) / windows-job (gh)
• Tests / unittests-windows (3.11, windows.4xlarge, cpu) / windows-job (gh)
• Tests / unittests-windows (3.8, windows.4xlarge, cpu) / windows-job (gh)
• Tests / unittests-windows (3.8, windows.g5.4xlarge.nvidia.gpu, cuda, 11.8) / windows-job (gh)
• Tests / unittests-windows (3.9, windows.4xlarge, cpu) / windows-job (gh)

FLAKY - The following jobs failed but were likely due to flakiness present on trunk:

• CMake / linux (linux.g5.4xlarge.nvidia.gpu, cuda, 11.8) / linux-job (gh)
• Lint / python-types / linux-job (gh)
• Prototype tests on Linux / unittests-prototype (3.8, linux.g5.4xlarge.nvidia.gpu, cuda, 11.8) / linux-job (gh)
• Tests / onnx / linux-job (gh)
• Tests / unittests-extended / linux-job (gh)
• Tests / unittests-linux (3.11, linux.12xlarge, cpu) / linux-job (gh)
• Tests / unittests-linux (3.8, linux.12xlarge, cpu) / linux-job (gh)
• Tests / unittests-linux (3.8, linux.g5.4xlarge.nvidia.gpu, cuda, 11.8) / linux-job (gh)
• Tests / unittests-linux (3.9, linux.12xlarge, cpu) / linux-job (gh)

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[pmeier]

Thanks! Just to check, we are ok breaking the old links here although the hash is wrong, correct?

[NicolasHug]

We're not really breaking the links as I didn't remove the previous weights from the S3 bucket. I.e. the previous URLs still exist and one can download wieghts from them, should they want to. But those old URLs don't pass our hash-checking logic we introduced in 0.16 because the file names contained wrong hashes.