[WIP]Change philox state API usage to support XPU graph

[majing921201]

Switch philox_engine_inputs usage to philox_xpu_state per XPU graph request. This PR requires stock pytorch XPUGeneratorImpl PR merged.

[Copilot]

Pull Request Overview

This PR updates the XPU implementation to use the new philox_xpu_state API instead of the legacy philox_engine_inputs API to support XPU graph functionality. The changes replace the old pair-based approach for Philox random number generation with a unified state object.

• Replace philox_engine_inputs() calls with philox_xpu_state()
• Update function signatures to use PhiloxXpuState instead of std::pair<uint64_t, uint64_t>
• Replace philox_unpack() with at::xpu::philox::unpack()

Reviewed Changes

Copilot reviewed 6 out of 6 changed files in this pull request and generated 2 comments.

Show a summary per file

File	Description
src/ATen/native/xpu/sycl/RreluWithNoiseKernels.cpp	Updates RReLU with noise kernel to use new philox state API
src/ATen/native/xpu/sycl/RandpermKernel.cpp	Updates randperm kernel to use new philox state API and removes unused include
src/ATen/native/xpu/sycl/MultinomialKernel.cpp	Updates multinomial kernel to use new philox state API
src/ATen/native/xpu/sycl/Dropout.cpp	Updates dropout kernels to use new philox state API
src/ATen/native/xpu/sycl/Distributions.cpp	Updates various distribution kernels to use new philox state API
src/ATen/native/xpu/sycl/DistributionTemplates.h	Removes PhiloxState definition and updates template functions to use new API

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[Copilot]

[nitpick] The removed include <ATen/native/xpu/sycl/DistributionTemplates.h> might still be needed since this file uses functions that were previously defined there. Verify that all necessary functions are still accessible through the remaining includes.

Suggested change

	#include <ATen/native/xpu/sycl/Philox4x32.h>
	#include <ATen/native/xpu/sycl/Philox4x32.h>
	#include <ATen/native/xpu/sycl/DistributionTemplates.h>

[Copilot]

[nitpick] The comment '// Sample with replacement' was removed but it provided valuable context for understanding the code section. Consider keeping meaningful comments that explain the algorithm or approach being used.

Suggested change

	// Sample with replacement