Update on "introduce triton sdpa kernel to cuda backend"

**Introduce Triton SDPA Kernel to CUDA Backend**

This diff introduces a Triton-optimized implementation of scaled dot-product attention (SDPA) kernel to the CUDA backend. The new kernel is designed to replace the default Edge SDPA operator during graph transformation to accelerate the model inference and get rid of sdpa decomposition.

**Changes**

* Added a new file `sdpa.py` to `fbcode/executorch/backends/cuda/triton/kernels` and `fbcode/executorch/backends/cuda/triton/kernels` directories, which contains the Triton-optimized SDPA kernel implementation.
* Added a new file `__init__.py` to `fbcode/executorch/backends/cuda/triton/replacement_pass`, which replaces the given existing edge ops with target triton kernels.
* Added tests for sdpa exporting with triton kernel. Without the triton kernel, sdpa model can not be exported.

**Purpose**

The purpose of this diff is to provide a high-performance SDPA kernel for the CUDA backend, which can be used to accelerate attention-based models on NVIDIA GPUs.

Differential Revision: [D87259044](https://our.internmc.facebook.com/intern/diff/D87259044/)

[ghstack-poisoned]

Author: Gasoonjia

backends/aoti/common_shims.h

@@ -60,17 +60,14 @@ AOTI_SHIM_EXPORT AOTITorchError
 aoti_torch_get_dim(Tensor* tensor, int64_t* ret_dim);
 
 // Utility functions for device and layout information
-
 AOTI_SHIM_EXPORT int32_t aoti_torch_device_type_cpu();
 AOTI_SHIM_EXPORT int32_t aoti_torch_layout_strided();
-AOTI_SHIM_EXPORT int32_t aoti_torch_dtype_float16();
 AOTI_SHIM_EXPORT int32_t aoti_torch_dtype_float32();
 AOTI_SHIM_EXPORT int32_t aoti_torch_dtype_bfloat16();
 AOTI_SHIM_EXPORT int32_t aoti_torch_dtype_int8();
 AOTI_SHIM_EXPORT int32_t aoti_torch_dtype_int16();
 AOTI_SHIM_EXPORT int32_t aoti_torch_dtype_int32();
 AOTI_SHIM_EXPORT int32_t aoti_torch_dtype_int64();
-AOTI_SHIM_EXPORT int32_t aoti_torch_dtype_bool();
 
 // Dtype utility function needed by Metal backend
 AOTI_SHIM_EXPORT size_t aoti_torch_dtype_element_size(int32_t dtype);