[slimtensor] Add utility functions to common_shims_slim #16992
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Pull Request resolved: #16454 Add SlimTensor-based implementations of basic property getter AOTI shim functions: 1. `aoti_torch_get_data_ptr()` - Returns pointer to tensor data 2. `aoti_torch_get_sizes()` - Returns pointer to sizes array (SlimTensor stores int64_t directly) 3. `aoti_torch_get_strides()` - Returns pointer to strides array (SlimTensor stores int64_t directly) 4. `aoti_torch_get_dtype()` - Returns the scalar type as int32_t 5. `aoti_torch_get_dim()` - Returns the number of dimensions Key design: - Create a new common_shim_slim.h for working on new API while not impact the current pipeline. Will use common_shim_slim.{h/cpp} to replace current common_shim.{h/cpp} when everything has been set up. - Uses `#ifdef CUDA_AVAILABLE` conditional compilation to seperate the implementation between cuda backend and mps backend since SlimTensor hasn't have mps support yet. Will remove the branch once SlimTensor support mps. - Refactored to a header-only library so the caller's preprocessor flags determine which tensor type is used. This design supports both CUDA backend (SlimTensor) and MPS backend (ETensor) from a single library. ghstack-source-id: 336530252 @exported-using-ghexport Differential Revision: [D90126254](https://our.internmc.facebook.com/intern/diff/D90126254/)
…slim Pull Request resolved: #16455 Add storage and device property getter AOTI shim functions to the header-only common_shims_slim library: 1. `aoti_torch_get_storage_offset()` - Returns the storage offset (SlimTensor: real offset, ETensor: always 0) 2. `aoti_torch_get_storage_size()` - Returns storage size in bytes 3. `aoti_torch_get_device_type()` - Returns device type (SlimTensor: real type, ETensor: CPU=0) 4. `aoti_torch_get_device_index()` - Returns device index (SlimTensor: real index, ETensor: 0) ghstack-source-id: 336530255 @exported-using-ghexport Differential Revision: [D90126251](https://our.internmc.facebook.com/intern/diff/D90126251/)
Pull Request resolved: #16457 Add utility functions to the header-only common_shims_slim library: 1. DType constants: - `aoti_torch_dtype_float32()` - Returns 6 (ScalarType::Float) - `aoti_torch_dtype_bfloat16()` - Returns 15 (ScalarType::BFloat16) - `aoti_torch_dtype_int64()` - Returns 4 (ScalarType::Long) - `aoti_torch_dtype_int32()` - Returns 3 (ScalarType::Int) - `aoti_torch_dtype_int16()` - Returns 2 (ScalarType::Short) - `aoti_torch_dtype_int8()` - Returns 1 (ScalarType::Char) - `aoti_torch_dtype_bool()` - Returns 11 (ScalarType::Bool) 2. Device type constants: - `aoti_torch_device_type_cpu()` - Returns 0 (DeviceType::CPU) - `aoti_torch_device_type_cuda()` - Returns 1 (DeviceType::CUDA) 3. Grad mode functions (not supported in ExecuTorch): - `aoti_torch_grad_mode_is_enabled()` - Always returns false - `aoti_torch_grad_mode_set_enabled()` - Returns Ok for false, NotSupported for true ghstack-source-id: 336530259 @exported-using-ghexport Differential Revision: [D90126250](https://our.internmc.facebook.com/intern/diff/D90126250/)
🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/16992
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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: #16457 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/98/base
ghstack PR head: https://github.com/pytorch/executorch/tree/gh/gasoonjia/98/head
Merge bot PR base: https://github.com/pytorch/executorch/tree/gh/gasoonjia/97/orig
Merge bot PR head: https://github.com/pytorch/executorch/tree/gh/gasoonjia/98/orig
Differential Revision: D90126250
@diff-train-skip-merge