Implement MatMul Function and Operator with Floating Point support for CPU

- Implements MatMul function and operator for floating point datatype FP16/FP32
- Includes support for transposing dynamic tensors prior to matrix multiplication.
- Adds tests for 2D/3D/4D+ tensors in MatMul with F32/F16 datatype (with all combinations of transposed/not-transposed tensors)
- Updates fixture to allow for testing fused activation in MatMul
- Adds tests for matmul with and without fused activation

Resolved: [COMPMID-5898]
Signed-off-by: Mohammed Suhail Munshi <MohammedSuhail.Munshi@arm.com>
Change-Id: Iefa84b26dd723c9a51e6c3f91023152c6c31ace2
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/9411
Reviewed-by: SiCong Li <sicong.li@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Benchmark: Arm Jenkins <bsgcomp@arm.com>

1 files changed, 10 insertions, 2 deletions

diff --git a/arm_compute/runtime/CL/functions/CLMatMul.h b/arm_compute/runtime/CL/functions/CLMatMul.h
index 56dd9c5655..712bac06bf 100644
--- a/arm_compute/runtime/CL/functions/CLMatMul.h
+++ b/arm_compute/runtime/CL/functions/CLMatMul.h
@@ -35,6 +35,13 @@ class ITensorInfo;
 class MatMulInfo;
 class Status;
 
+/** Settings for MatMul OpenCL implementation */
+class GpuMatMulSettings
+{
+public:
+    /* Placeholder for operator parity between CPU/GPU */
+};
+
 /** Basic function to execute MatMul (Matrix Multiplication) on OpenCL */
 class CLMatMul : public IFunction
 {
@@ -73,13 +80,14 @@ public:
      * @param[in]  rhs             RHS input tensor (Matrix B). Data type supported: same as @p lhs.
      * @param[out] output          Output tensor. Data type supported: same as @p lhs.
      * @param[in]  matmul_info     Attributes for MatMul
+     * @param[in]  settings        Class containing flags for function level settings
      */
-    void configure(const CLCompileContext &compile_context, ICLTensor *rhs, ICLTensor *lhs, ICLTensor *output, const MatMulInfo &matmul_info);
+    void configure(const CLCompileContext &compile_context, ICLTensor *rhs, ICLTensor *lhs, ICLTensor *output, const MatMulInfo &matmul_info, const GpuMatMulSettings &settings = GpuMatMulSettings{});
     /** Initialise the kernel's inputs and output
      *
      * Similar to @ref CLMatMul::configure()
      */
-    void configure(ICLTensor *lhs, ICLTensor *rhs, ICLTensor *output, const MatMulInfo &matmul_info);
+    void configure(ICLTensor *lhs, ICLTensor *rhs, ICLTensor *output, const MatMulInfo &matmul_info, const GpuMatMulSettings &settings = GpuMatMulSettings{});
     /** Static function to check if given info will lead to a valid configuration of @ref CLMatMul.
      *
      * Similar to @ref CLMatMul::configure()