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Batch decode images with CUDA #8422

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Batch decode images with CUDA #8422

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deekay42
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I'm modifying the existing decode_jpeg function to use a fused kernel for faster image decoding for large quantities of images.

@deekay42
Adding GPU acceleration to encode_jpeg
7181f4c 
Summary:
I'm adding GPU support to the existing torchvision.io.encode_jpeg function. If the input tensors are on the GPU, the CUDA version will be used and the CPU version otherwise.
Additionally, I'm adding a new function torchvision.io.encode_jpegs (plural) with uses a fused kernel and may be faster than successive calls to the singular version which incurs kernel launch overhead for each call.
If it's alright, I'll be happy to refactor decode_jpeg to follow this
convention in a follow up PR.

Test Plan:
1. pytest test -vvv
2. ufmt format torchvision
3. flake8 torchvision

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Tasks:

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@deekay42 @dkal-at-meta
Adding batched GPU decode, whut
82fd5d0
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pytorch-bot bot commented May 11, 2024 •
edited

🔗 Helpful Links

🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/vision/8422

Note: Links to docs will display an error until the docs builds have been completed.

❌ 28 New Failures

As of commit ab13cc1 with merge base 5181a85 (image):

NEW FAILURES - The following jobs have failed:

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@deekay42 deekay42 marked this pull request as draft May 11, 2024 01:45
@deekay42 deekay42 force-pushed the batched_decode branch 3 times, most recently from f74a9da to 807dca7 Compare May 11, 2024 02:17
@deekay42 deekay42 marked this pull request as ready for review May 13, 2024 14:43
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