Justin Davis

[BUG] NNData has no Timestamp

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**Check if issue already exists** Could not find any existing issues or forum posts regarding NNData timestamps **Describe the bug** The output of a neural network does not have a...

Add support for NVIDIA DLA on Jetson Devices

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Add flags to the export mode which allow for the [NVIDIA DLA](https://developer.nvidia.com/deep-learning-accelerator) to be used instead of GPU onboard the NVIDIA Jetson devices. The NVDLA allows for energy efficient inference...

v0.16.0-beta ============ Release Highlights ------------------ CV-CUDA v0.16.0 includes the following changes:​ * **New Features and Enhancements**:​ * Added support for Python 3.14​, CUDA 13, GCC-12 to GCC-14 and Blackwell GPU...

CV-CUDA Kernels Inherit torch.cuda.current_stream()

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### Summary CV-CUDA has its own default stream which it will use to execute its kernels. This behavior is fine when using the `Compose` transform API with explicit conversion at...

ToDtype CV-CUDA Backend

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### 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)...

AdjustSharpness CV-CUDA Backend

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### Summary Adds the CV-CUDA backend kernel for `adjust_sharpness` ### Testing `python3 -m pytest test/test_transforms_v2.py::TestAdjustSharpness`

Normalize CV-CUDA Backend

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### Summary This PR adds the CV-CUDA backend kernel for the `Normalize` transform. ### How to use ``` import cvcuda import torchvision.transforms.v2.functional as F cvc_tensor = cvcuda.Tensor((1, 224, 224, 3),...

Erase CV-CUDA Backend

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### Summary Add the CV-CUDA for `erase` ### Testing `python3 -m pytest test/test_transforms_v2.py::TestErase`

Resize CV-CUDA Backend

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### Summary Adds the resize CV-CUDA kernel ### Testing `python3 -m pytest test/test_transforms_v2.py::TestResize` `python3 -m pytest test/test_transforms_v2.py::TestResize::test_image_correctness_cvcuda`

GaussianBlur CV-CUDA Backend

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### Summary Implement the CV-CUDA backend kernel for gaussian_blur ### How to use ``` import cvcuda import torchvision.transforms.v2.functional as F cv_tensor = cvcuda.Tensor((1, 224, 224, 3), cvcuda.Type.U8, cvcuda.TensorLayout.NHWC) # dispatched...