[slimtensor] Add CUDA Storage with DeviceTraits and memory allocation#16798
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[slimtensor] Add CUDA Storage with DeviceTraits and memory allocation#16798
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Pull Request resolved: #16769 This diff adds CUDA storage infrastructure to SlimTensor, enabling GPU memory allocation and management. **Key changes:** 1. **`cuda/Guard.h`** - CUDAGuard RAII class: - Saves current CUDA device on construction, restores on destruction - Exception-safe device context switching - Constructors accept device index or Device object 2. **`core/Storage.h`** - Extended for CUDA support: - Added `DeviceTraits<DeviceType::CUDA>` specialization with: - `allocate()` - Uses cudaMalloc with CUDAGuard for device selection - `free()` - Uses cudaFree with warning on error - `memcpy()` - Supports Host↔Device and Device↔Device copies - Added `DEFAULT_CUDA_DEVICE` constant - Updated `MaybeOwningStorage` constructor to handle CUDA devices - Stub implementation when `CUDA_AVAILABLE` is not defined (throws error) ghstack-source-id: 335102161 @exported-using-ghexport Differential Revision: [D91202899](https://our.internmc.facebook.com/intern/diff/D91202899/)
🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/16798
Note: Links to docs will display an error until the docs builds have been completed. ❌ 2 New Failures, 107 PendingAs of commit f396003 with merge base 3cd3b92 ( NEW FAILURES - The following jobs have failed:
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Gasoonjia
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Jan 22, 2026
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This PR was created by the merge bot to help merge the original PR into the main branch.
ghstack PR number: #16769 by @Gasoonjia
^ Please use this as the source of truth for the PR details, comments, and reviews
ghstack PR base: https://github.com/pytorch/executorch/tree/gh/gasoonjia/109/base
ghstack PR head: https://github.com/pytorch/executorch/tree/gh/gasoonjia/109/head
Merge bot PR base: https://github.com/pytorch/executorch/tree/main
Merge bot PR head: https://github.com/pytorch/executorch/tree/gh/gasoonjia/109/orig
Differential Revision: D91202899
@diff-train-skip-merge