Register signal ops for op set 17

Note code is mostly being moved, not added. These ops were previously
only registered as Microsoft contrib ops and only built if
`BUILD_MS_EXPERIMENTAL_OPS=1`. They've been added to the ai.onnx
standard op set in version 17.

Main components of this change:

* Move the kernels from the conrib_ops directory to the
  core directory.
* Add function bodies for ms experimental ops. This will allow
  old models that use the contrib ops to continue to function.
  All the function bodies consist of a single op (the
  new standard op), so performance overhead should be minimal.

Minor clean-up also in this change:

* De-duplicate get_scalar_value_from_tensor: put it in a new utils.h.
* Fix some bugs that caused compilation errors with the experimental
  ops. Tested with `build.sh --ms_experimental`
* Fix some spelling errors and lint violations.
* Replace a couple of switch statements with `MLTypeCallDispatcher`.
* Use `InlineVector` instead of `std::vector`.

Unblocks microsoft#11640

onnxruntime/contrib_ops/cpu/cpu_contrib_kernels.cc

@@ -41,16 +41,6 @@ class ONNX_OPERATOR_KERNEL_CLASS_NAME(kCpuExecutionProvider, kMSDomain, 1, FastG
 class ONNX_OPERATOR_KERNEL_CLASS_NAME(kCpuExecutionProvider, kMSDomain, 1, NGramRepeatBlock);
 class ONNX_OPERATOR_KERNEL_CLASS_NAME(kCpuExecutionProvider, kMSDomain, 1, BifurcationDetector);
 
-#ifdef BUILD_MS_EXPERIMENTAL_OPS
-class ONNX_OPERATOR_KERNEL_CLASS_NAME(kCpuExecutionProvider, kMSExperimentalDomain, 1, DFT);
-class ONNX_OPERATOR_KERNEL_CLASS_NAME(kCpuExecutionProvider, kMSExperimentalDomain, 1, IDFT);
-class ONNX_OPERATOR_KERNEL_CLASS_NAME(kCpuExecutionProvider, kMSExperimentalDomain, 1, HannWindow);
-class ONNX_OPERATOR_KERNEL_CLASS_NAME(kCpuExecutionProvider, kMSExperimentalDomain, 1, HammingWindow);
-class ONNX_OPERATOR_KERNEL_CLASS_NAME(kCpuExecutionProvider, kMSExperimentalDomain, 1, BlackmanWindow);
-class ONNX_OPERATOR_KERNEL_CLASS_NAME(kCpuExecutionProvider, kMSExperimentalDomain, 1, MelWeightMatrix);
-class ONNX_OPERATOR_KERNEL_CLASS_NAME(kCpuExecutionProvider, kMSExperimentalDomain, 1, STFT);
-#endif
-
 // ******** Start: Quantization ******************* //
 class ONNX_OPERATOR_KERNEL_CLASS_NAME(kCpuExecutionProvider, kMSDomain, 1, MatMulInteger16);
 class ONNX_OPERATOR_KERNEL_CLASS_NAME(kCpuExecutionProvider, kMSDomain, 1, QLinearGlobalAveragePool);
@@ -220,16 +210,6 @@ Status RegisterCpuContribKernels(KernelRegistry& kernel_registry) {
     BuildKernelCreateInfo<ONNX_OPERATOR_KERNEL_CLASS_NAME(kCpuExecutionProvider, kMSDomain, 1, FastGelu)>,
     BuildKernelCreateInfo<ONNX_OPERATOR_KERNEL_CLASS_NAME(kCpuExecutionProvider, kMSDomain, 1, NGramRepeatBlock)>,
     BuildKernelCreateInfo<ONNX_OPERATOR_KERNEL_CLASS_NAME(kCpuExecutionProvider, kMSDomain, 1, BifurcationDetector)>,
-
-#ifdef BUILD_MS_EXPERIMENTAL_OPS
-    BuildKernelCreateInfo<ONNX_OPERATOR_KERNEL_CLASS_NAME(kCpuExecutionProvider, kMSExperimentalDomain, 1, DFT)>,
-    BuildKernelCreateInfo<ONNX_OPERATOR_KERNEL_CLASS_NAME(kCpuExecutionProvider, kMSExperimentalDomain, 1, IDFT)>,
-    BuildKernelCreateInfo<ONNX_OPERATOR_KERNEL_CLASS_NAME(kCpuExecutionProvider, kMSExperimentalDomain, 1, HannWindow)>,
-    BuildKernelCreateInfo<ONNX_OPERATOR_KERNEL_CLASS_NAME(kCpuExecutionProvider, kMSExperimentalDomain, 1, HammingWindow)>,
-    BuildKernelCreateInfo<ONNX_OPERATOR_KERNEL_CLASS_NAME(kCpuExecutionProvider, kMSExperimentalDomain, 1, BlackmanWindow)>,
-    BuildKernelCreateInfo<ONNX_OPERATOR_KERNEL_CLASS_NAME(kCpuExecutionProvider, kMSExperimentalDomain, 1, MelWeightMatrix)>,
-    BuildKernelCreateInfo<ONNX_OPERATOR_KERNEL_CLASS_NAME(kCpuExecutionProvider, kMSExperimentalDomain, 1, STFT)>,
-#endif
     // These ops were experimental ops in onnx domain which have been removed now. We add them here as
     // contrib ops to main backward compatibility
     BuildKernelCreateInfo<ONNX_OPERATOR_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 1, Affine)>,