Update CPU kernels and add mixed sign GEMM support

 - Add support for mixed sign quantized convolution.
 - Add support for mixed sign dequantized GEMM.
 - Add SME FP16 GEMV kernel.
 - Change SME vector length function to use RDSVL instead of static variable.
 - Add GEMM dilation support internally (not exposed yet).
 - Remove unused "get_default_activation_values" functions.
 - Add SVE fixed format interleaved BF16 DOT kernel.
 - Updates and optimizations to assembly kernels.

Resolves COMPMID-6926

Change-Id: I227f502502611d4cc4111c89e30c53ce94079544
Signed-off-by: Michael Tyler <michael.tyler@arm.com>
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/11570
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Gunes Bayir <gunes.bayir@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Benchmark: Arm Jenkins <bsgcomp@arm.com>

1 files changed, 8 insertions, 8 deletions

diff --git a/src/core/NEON/kernels/arm_gemm/gemm_bf16bf16.cpp b/src/core/NEON/kernels/arm_gemm/gemm_bf16bf16.cpp
index aa761b46e4..1e4de4a39e 100644
--- a/src/core/NEON/kernels/arm_gemm/gemm_bf16bf16.cpp
+++ b/src/core/NEON/kernels/arm_gemm/gemm_bf16bf16.cpp
@@ -32,12 +32,12 @@
 
 namespace arm_gemm {
 
-static const GemmImplementation<bfloat16, bfloat16> gemm_bf16bf16_methods[] =
+static const GemmImplementation<bfloat16, bfloat16, bfloat16> gemm_bf16bf16_methods[] =
 {
 #ifdef __aarch64__
 #ifdef ARM_COMPUTE_ENABLE_BF16
 #ifdef ARM_COMPUTE_ENABLE_FIXED_FORMAT_KERNELS
-GemmImplementation<bfloat16, bfloat16>::with_estimate(
+GemmImplementation<bfloat16, bfloat16, bfloat16>::with_estimate(
     GemmMethod::GEMM_INTERLEAVED,
     "a64_ffinterleaved_bf16fp32_mmla_8x12",
     KernelWeightFormat::VL256_BL64,
@@ -45,7 +45,7 @@ GemmImplementation<bfloat16, bfloat16>::with_estimate(
     [](const GemmArgs &args) { return GemmInterleavedFixedFormat<cls_a64_ffinterleaved_bf16fp32_mmla_8x12, bfloat16, bfloat16>::estimate_cycles<bfloat16>(args); },
     [](const GemmArgs &args) { return new GemmInterleavedFixedFormat<cls_a64_ffinterleaved_bf16fp32_mmla_8x12, bfloat16, bfloat16>(args); }
 ),
-GemmImplementation<bfloat16, bfloat16>::with_estimate(
+GemmImplementation<bfloat16, bfloat16, bfloat16>::with_estimate(
     GemmMethod::GEMM_INTERLEAVED,
     "sve_ffinterleaved_bf16fp32_mmla_8x3VL",
     KernelWeightFormat::VL2VL_BL64,
@@ -66,14 +66,14 @@ GemmImplementation<bfloat16, bfloat16>::with_estimate(
 };
 
 template<>
-const GemmImplementation<bfloat16, bfloat16> *gemm_implementation_list<bfloat16, bfloat16>() {
+const GemmImplementation<bfloat16, bfloat16, bfloat16> *gemm_implementation_list<bfloat16, bfloat16, bfloat16>() {
     return gemm_bf16bf16_methods;
 }
 
 /* Explicitly instantiate the external functions for these types. */
-template UniqueGemmCommon<bfloat16, bfloat16> gemm<bfloat16, bfloat16, Nothing>(const GemmArgs &args, const Nothing &);
-template bool has_opt_gemm<bfloat16, bfloat16, Nothing>(WeightFormat &weight_format, const GemmArgs &args, const Nothing &);
-template KernelDescription get_gemm_method<bfloat16, bfloat16, Nothing>(const GemmArgs &args, const Nothing &);
-template std::vector<KernelDescription> get_compatible_kernels<bfloat16, bfloat16, Nothing>(const GemmArgs &args, const Nothing &);
+template UniqueGemmCommon<bfloat16, bfloat16, bfloat16> gemm<bfloat16, bfloat16, bfloat16, Nothing>(const GemmArgs &args, const Nothing &);
+template bool has_opt_gemm<bfloat16, bfloat16, bfloat16, Nothing>(WeightFormat &weight_format, const GemmArgs &args, const Nothing &);
+template KernelDescription get_gemm_method<bfloat16, bfloat16, bfloat16, Nothing>(const GemmArgs &args, const Nothing &);
+template std::vector<KernelDescription> get_compatible_kernels<bfloat16, bfloat16, bfloat16, Nothing>(const GemmArgs &args, const Nothing &);
 
 } // namespace arm_gemm