[slimtensor] Add common_shims_slim with basic property getters

[Gasoonjia]

Stack from ghstack (oldest at bottom):

• rename slimtensor fiies to consistent with executorch files #16469
• [slimtensor] Add utility functions to common_shims_slim #16457
• [slimtensor] Add storage and device property getters to common_shims_slim #16455
• -> [slimtensor] Add common_shims_slim with basic property getters #16454
• [slimtensor] Add aoti_torch_item_bool for SlimTensor #16453
• [slimtensor] Add aoti_torch_assign_tensors_out for SlimTensor #16452
• [slimtensor] Add aoti_torch_copy_ for SlimTensor #16451
• [slimtensor] Add aoti_torch__reinterpret_tensor for SlimTensor #16450
• [slimtensor] Add aoti_torch_new_tensor_handle for SlimTensor #16449
• [slimtensor] Add aoti_torch_delete_tensor_object for SlimTensor #16448
• [slimtensor] Add SlimTensor-based aoti_torch_empty_strided #16447
• [slimtensor] Add SlimTensor-based aoti_torch_create_tensor_from_blob_v2 #16446
• [slimtensor] Add item() methods with CUDA and CPU support for scalar value extraction #16445
• [slimtensor] Add permute() and reshape() view operations #16444
• [slimtensor] Add as_strided() view operation for tensor reinterpretation #16443
• [slimtensor] Add from_blob() factory function for wrapping external memory #16442
• [slimtensor] Add non-owning storage mode for wrapping external memory #16441
• [slimtensor] Enable CUDA tensor copy #16440
• [slimtensor] Add CUDA slimtensor creation with basic functionality #16439
• [slimtensor] Add CUDA Storage with DeviceTraits and memory allocation #16438
• [slimtensor] Add CUDA DeviceType and extend Device class #16437
• [slimtensor] Add all required dtype support (Int8/16/32/64, Bool, BFloat16) #16399
• [slimtensor] Add factory functions for creating empty CPU tensors #16398
• [slimtensor] Add SlimTensor class with basic properties and CPU copy operation #16385
• [slimtensor] Add SizesAndStrides and dimension utility functions for slimtensor usage #16384
• [slimtensor] Storage and SharedPtr for CPU owning mode #16383
• [slimtensor] Introduce Device and ScalarType headers for SlimTensor minimal support #16382

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.

Differential Revision: D90126254

[pytorch-bot]

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❌ 2 New Failures, 1 Unrelated Failure

As of commit 7676946 with merge base fd6fa87 ():

NEW FAILURES - The following jobs have failed:

• pull / test-samsung-models-linux / linux-job (gh)
  RuntimeError: Command docker exec -t 3af8216f800ec0412ac8a81cca8d823ad07feefee3374eebb438bb2744a955ca /exec failed with exit code 1
• pull / test-samsung-quantmodels-linux / linux-job (gh)
  RuntimeError: Command docker exec -t 8c9f37b04e2c2448dd45dc7b07c00cbb408e5f777ec4bf46ac165c3ac0c24e8a /exec failed with exit code 1

UNSTABLE - The following job is marked as unstable, possibly due to flakiness on trunk:

• pull / android / run-emulator (gh) (#16137)
  Timeout waiting for emulator to boot.

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