[ET Device Support] DeviceMemoryBuffer RAII class for device memory lifetime management#19567
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…meta Pull Request resolved: #18472 Enable serialzing non_const_buffer_device into into PTE file. ghstack-source-id: 381499179 @exported-using-ghexport Differential Revision: [D97850707](https://our.internmc.facebook.com/intern/diff/D97850707/)
…ifetime management Pull Request resolved: #18473 Introduces DeviceMemoryBuffer, an RAII wrapper that owns a single device memory allocation. On destruction, it automatically calls DeviceAllocator::deallocate() to free the memory. This mirrors the role of std::vector<uint8_t> for CPU planned buffers, but for non-cpu device memory (CUDA, etc.). Key features: - Static factory create(size, type, index) looks up DeviceAllocator from registry - Move-only semantics (no copy) to enforce single ownership - as_span() accessor wraps device pointer for use with HierarchicalAllocator - Destructor is no-op for default-constructed or moved-from instances ghstack-source-id: 381499182 @exported-using-ghexport Differential Revision: [D97850709](https://our.internmc.facebook.com/intern/diff/D97850709/)
🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/19567
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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: #18473 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/153/base
ghstack PR head: https://github.com/pytorch/executorch/tree/gh/gasoonjia/153/head
Merge bot PR base: https://github.com/pytorch/executorch/tree/gh/gasoonjia/152/orig
Merge bot PR head: https://github.com/pytorch/executorch/tree/gh/gasoonjia/153/orig
Differential Revision: D97850709
@diff-train-skip-merge