[WIP] extract common code for EP API adapter

[fs-eire]

Description

WIP.

This PR tries to generalize the class OpKernelInfo and OpKernelContext using template so that the code is able to be used on a different type, which helps for future changes that supports migration of WebGPU EP and CUDA EP to the EP API implementation.

Currently only applies to base classes that is reused by WebGPU EP.

[Copilot]

Pull request overview

This PR refactors common base classes used by ONNX Runtime operators to use templates instead of concrete types, enabling code reuse across different execution provider implementations. The refactoring primarily converts OpKernelInfo and OpKernelContext parameters to template parameters like KernelInfoType and KernelContextType, allowing these base classes to work with different EP API implementations (particularly for WebGPU and CUDA EPs).

Key changes include:

• Converting constructors and methods in operator base classes from using OpKernelInfo to templated KernelInfoType
• Moving implementation code from .cc files to .h files as template methods (e.g., ComputePadsImpl, PrepareForComputeImpl)
• Adding template keyword before template member function calls on dependent types (e.g., info.template GetAttr<T>)

Reviewed changes

Copilot reviewed 17 out of 17 changed files in this pull request and generated 1 comment.

Show a summary per file

File	Description
onnxruntime/core/providers/cpu/tensor/upsamplebase.h	Templated UpsampleBase constructor with KernelInfoType, added template keywords for GetAttr/GetAttrOrDefault calls
onnxruntime/core/providers/cpu/tensor/unsqueeze.h	Templated UnsqueezeBase constructor with KernelInfoType
onnxruntime/core/providers/cpu/tensor/transpose.h	Templated TransposeBase constructor with KernelInfoType, added template keyword for GetAttrs call
onnxruntime/core/providers/cpu/tensor/squeeze.h	Templated SqueezeBase constructor with KernelInfoType
onnxruntime/core/providers/cpu/tensor/split.h	Templated SplitBase constructor with KernelInfoType, added template keywords for GetAttrOrDefault calls
onnxruntime/core/providers/cpu/tensor/padbase.h	Added templated ComputePadsImpl method, templated PadBase constructor, moved ComputePadWithAxes to be static, added conditional includes for SHARED_PROVIDER
onnxruntime/core/providers/cpu/tensor/pad.cc	Refactored ComputePads to call templated ComputePadsImpl, removed ComputePadWithAxes (moved to header)
onnxruntime/core/providers/cpu/tensor/gatherbase.h	Added templated PrepareForComputeImpl method, templated GatherBase constructor, added conditional includes
onnxruntime/core/providers/cpu/tensor/gather.cc	Refactored PrepareForCompute to call templated PrepareForComputeImpl
onnxruntime/core/providers/cpu/tensor/concatbase.h	Added large templated PrepareForComputeImpl method, templated ConcatBase constructor, added template keywords
onnxruntime/core/providers/cpu/tensor/concat.cc	Refactored PrepareForCompute to call templated PrepareForComputeImpl
onnxruntime/core/providers/cpu/reduction/reduction_kernel_base.h	Templated ReduceKernelBase constructor with KernelInfoType, added template keywords
onnxruntime/core/providers/cpu/nn/pool_base.h	Templated PoolBase constructor, changed API from GetKernelDef().OpName() to node().OpType()
onnxruntime/core/providers/cpu/nn/pool_attributes.h	Templated PoolAttributes constructor, added template keywords for GetAttr calls
onnxruntime/core/providers/cpu/nn/conv_transpose_attributes.h	Templated ConvTransposeAttributes constructor
onnxruntime/core/providers/cpu/nn/conv_attributes.h	Templated ConvAttributes constructor, changed from GetAttrsAsSpan to GetAttrs with vector intermediary, added template keywords
onnxruntime/contrib_ops/cpu/bert/attention_base.h	Templated AttentionBase constructor with KernelInfoType, added template keywords for GetAttr/GetAttrs/GetAttrOrDefault calls

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[Copilot]

The change from 'GetKernelDef().OpName()' to 'node().OpType()' may introduce an API incompatibility. Ensure that 'node().OpType()' returns the same value as 'GetKernelDef().OpName()' and that 'node()' is available for all KernelInfoType template parameter types. This change could cause issues if different KernelInfoType implementations don't support the 'node()' method or if OpType() has different semantics than OpName().