ToDtype CV-CUDA Backend #9278

justincdavis · 2025-11-19T21:44:54Z

Summary

Add the backend kernel for ToDtype transform using CV-CUDA

How to use

import cvcuda
import torchvision.transforms.v2.functional as F

cvc_tensor = cvcuda.Tensor((1, 224, 224, 3), cvcuda.Type.U8, cvcuda.TensorLayout.NHWC)
# Dispatches to F.to_dtype_cvcuda
cvc_fp32_tensor = F.to_dtype(cvc_tensor, torch.float32)

pytorch-bot · 2025-11-19T21:44:58Z

🔗 Helpful Links

🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/vision/9278

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meta-cla · 2025-11-19T21:45:00Z

Hi @justincdavis!

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AntoineSimoulin

Hey @justincdavis, thanks a lot for the PR. I left some comments and questions as a first review. Let me know what you think!

test/test_transforms_v2.py

torchvision/transforms/v2/functional/_misc.py

… setup

AntoineSimoulin · 2025-11-26T14:55:54Z

@justincdavis could you complete the missing Contributor License Agreement (c.f. earlier comment from the meta-cla bot)?

AntoineSimoulin

Hey @justincdavis, thanks for addressing my first round of comments. I had another pass. Will it be possible to have another iteration on the PR based on my new comments? Thanks a lot for your time here!

torchvision/transforms/v2/functional/_misc.py

test/test_transforms_v2.py

zy1git

Hi,

This is just a light pass of the review. Let me know what you think.

zy1git · 2025-12-04T17:54:52Z

test/common_utils.py


-def make_image_cvcuda(*args, **kwargs):
-    return to_cvcuda_tensor(make_image(*args, **kwargs))
+def make_image_cvcuda(*args, batch_dims=(1,), **kwargs):


Hi @justincdavis, I think we have implemented this in #9277.

Yes you have! I need to go through this PR and rebase on main.

zy1git · 2025-12-04T17:58:20Z

test/test_transforms_v2.py

+        inpt = make_input(dtype=input_dtype, device=device)
        if as_dict:
-            output_dtype = {type(input): output_dtype}
-        check_transform(transforms.ToDtype(dtype=output_dtype, scale=scale), input, check_sample_input=not as_dict)
+            output_dtype = {type(inpt): output_dtype}
+        check_transform(transforms.ToDtype(dtype=output_dtype, scale=scale), inpt, check_sample_input=not as_dict)


May I ask what the reason is for changing "input" to "inpt"?

input is a reserved keyword in Python, while updating the function I went ahead and changed this to not overwrite it

zy1git · 2025-12-04T18:04:25Z

torchvision/transforms/v2/functional/_meta.py



-def get_size_image_cvcuda(image: "cvcuda.Tensor") -> list[int]:
+def _get_size_cvcuda(image: "cvcuda.Tensor") -> list[int]:


It seems fair to keep the original name:#9277 (comment)

Yes very true, I will revert this an artifact from updating a few too many things at once

justincdavis · 2025-12-04T18:55:21Z

Hi @zy1git thanks for the first pass! I have updated this PR to reflect the conventions of the flip PR, LMK what you think!

AntoineSimoulin reviewed Nov 24, 2025

View reviewed changes

implement additional cvcuda infra for all branches to avoid duplicate…

44db71c

… setup

AntoineSimoulin mentioned this pull request Nov 25, 2025

Implement Flip transforms with CVCUDA backend #9277

Merged

update make_image_cvcuda to have default batch dim

e3dd700

justincdavis mentioned this pull request Nov 26, 2025

GaussianBlur CV-CUDA Backend #9280

Open

AntoineSimoulin reviewed Nov 26, 2025

View reviewed changes

torchvision/transforms/v2/functional/_misc.py Outdated Show resolved Hide resolved

torchvision/transforms/v2/functional/_misc.py Outdated Show resolved Hide resolved

test/test_transforms_v2.py Show resolved Hide resolved

meta-cla bot added the cla signed label Dec 2, 2025

justincdavis added 4 commits December 1, 2025 18:16

add stanardized setup to main for easier updating of PRs and branches

c035df1

update is_cvcuda_tensor

98d7dfb

add cvcuda to pil compatible to transforms by default

ddc116d

remove cvcuda from transform class

e51dc7e

zy1git reviewed Dec 4, 2025

View reviewed changes

merge with main

e14e210

justincdavis force-pushed the feat/dtype_cvcuda branch from 204f698 to 4259d7f Compare December 4, 2025 18:52

justincdavis added 12 commits December 4, 2025 11:07

resolve more formatting naming

4939355

initial draft of to_dtype_cvcuda

ec76196

fix: to_dtype_cvcuda conventions

bd823cf

remove staticmethod from reference todtype

f7aa94a

add docstring for explain scaling setup, combine correctness checks

b21d9f0

resolve more review comments

973e058

simplify todtype testing

d871331

add int -> int scaling setup for cvcuda, use bit diff for scale

736a2e6

further simplify todtype test

7a231b1

update todtype based on PR reviews

d3e4573

cleanup commnet, variable names

ec93ba3

update to_dtype_cvcuda name

89122db

justincdavis added 3 commits December 4, 2025 11:07

update to standards from flip PR

1b0d295

remove cvcuda updates to augment

009f925

remove cvcuda refs from color

41af724

justincdavis force-pushed the feat/dtype_cvcuda branch from 7e17ce4 to 41af724 Compare December 4, 2025 19:07

justincdavis added 2 commits December 4, 2025 13:18

refactor dtype converters to be in utils

d12e4df

add type checking for cvcuda

c198cf0



		def get_size_image_cvcuda(image: "cvcuda.Tensor") -> list[int]:
		def _get_size_cvcuda(image: "cvcuda.Tensor") -> list[int]:

ToDtype CV-CUDA Backend #9278

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ToDtype CV-CUDA Backend #9278

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justincdavis commented Nov 19, 2025

Summary

How to use

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🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/vision/9278

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