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, 26 insertions, 1 deletions

diff --git a/tests/validation/fixtures/ConvolutionLayerFixture.h b/tests/validation/fixtures/ConvolutionLayerFixture.h
index 0622e5e6f0..939ac032cd 100644
--- a/tests/validation/fixtures/ConvolutionLayerFixture.h
+++ b/tests/validation/fixtures/ConvolutionLayerFixture.h
@@ -1,5 +1,5 @@
 /*
- * Copyright (c) 2017-2023 Arm Limited.
+ * Copyright (c) 2017-2024 Arm Limited.
  *
  * SPDX-License-Identifier: MIT
  *
@@ -480,6 +480,31 @@ public:
 };
 
 template <typename TensorType, typename AccessorType, typename FunctionType, typename T, typename TW>
+class ConvolutionValidationQuantizedMixedTypeFixture
+    : public ConvolutionValidationGenericFixture<TensorType, AccessorType, FunctionType, T, TW>
+{
+public:
+    void setup(TensorShape         input_shape,
+               TensorShape         weights_shape,
+               TensorShape         bias_shape,
+               TensorShape         output_shape,
+               PadStrideInfo       info,
+               Size2D              dilation,
+               bool                reshape_weights,
+               DataType            data_type,
+               DataType            weights_data_type,
+               DataLayout          data_layout,
+               QuantizationInfo    quantization_info,
+               QuantizationInfo    weight_quantization_info,
+               ActivationLayerInfo act_info)
+    {
+        ConvolutionValidationGenericFixture<TensorType, AccessorType, FunctionType, T, TW>::setup(
+            input_shape, weights_shape, bias_shape, output_shape, info, dilation, reshape_weights, data_type,
+            weights_data_type, data_layout, quantization_info, weight_quantization_info, act_info);
+    }
+};
+
+template <typename TensorType, typename AccessorType, typename FunctionType, typename T, typename TW>
 class ConvolutionValidationQuantizedPerChannelFixture : public ConvolutionValidationGenericFixture<TensorType, AccessorType, FunctionType, T, TW>
 {
 public: