[ET Device Support] DeviceAllocator interface and DeviceAllocatorRegistry#19498
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…stry This diff introduces the `DeviceAllocator` abstract interface and `DeviceAllocatorRegistry` for device-specific memory allocation. This is a foundational abstraction that enables the runtime to dispatch memory operations to the appropriate device backend other than CPU (CUDA, etc.). **DeviceAllocator interface provides:** - `allocate()` / `deallocate()` - Dynamic device memory allocation - `copy_host_to_device()` / `copy_device_to_host()` - Data transfer between host and device - `device_type()` - Returns the device type this allocator handles **DeviceAllocatorRegistry provides:** - Singleton registry mapping DeviceType → DeviceAllocator - `register_allocator()` / `get_allocator()` methods - Fixed-size array indexed by device type (no dynamic allocation, embedded-friendly) **Design notes:** - Registry stores raw pointers (non-owning) - allocators are expected to be singletons with static lifetime - Follows ExecuTorch's embedded-first philosophy (no std::unique_ptr, no heap allocation in registry) - Convenience free functions `register_device_allocator()` and `get_device_allocator()` for ease of use Differential Revision: [D93635656](https://our.internmc.facebook.com/intern/diff/D93635656/) ghstack-source-id: 380597377 Pull Request resolved: #19496
🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/19498
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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: #19496 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/167/base
ghstack PR head: https://github.com/pytorch/executorch/tree/gh/gasoonjia/167/head
Merge bot PR base: https://github.com/pytorch/executorch/tree/main
Merge bot PR head: https://github.com/pytorch/executorch/tree/gh/gasoonjia/167/orig
Differential Revision: D93635656
@diff-train-skip-merge