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, 12 insertions, 7 deletions

diff --git a/src/core/helpers/AutoConfiguration.h b/src/core/helpers/AutoConfiguration.h
index 6880a6cb66..18ffbd6295 100644
--- a/src/core/helpers/AutoConfiguration.h
+++ b/src/core/helpers/AutoConfiguration.h
@@ -1,5 +1,5 @@
 /*
-* Copyright (c) 2020 Arm Limited.
+* Copyright (c) 2020, 2023 Arm Limited.
  *
  * SPDX-License-Identifier: MIT
  *
@@ -57,12 +57,16 @@ inline bool auto_init_if_empty(ITensorInfo       &info,
 }
 
 /** Auto initialize the tensor info using another tensor info.
-*
-* @param info_sink   Tensor info used to check and assign
-* @param info_source Tensor info used to assign
-*
-* @return True if the tensor info has been initialized
-*/
+ *
+ * (COMPMID-6012) This method should remain in sync with the fields of ITensorInfo that have setters.
+ *
+ *
+ * @param info_sink   Tensor info used to check and assign
+ * @param info_source Tensor info used to assign
+ *
+ *
+ * @return True if the tensor info has been initialized
+ */
 inline bool auto_init_if_empty(ITensorInfo &info_sink, const ITensorInfo &info_source)
 {
     if(info_sink.tensor_shape().total_size() == 0)
@@ -72,6 +76,7 @@ inline bool auto_init_if_empty(ITensorInfo &info_sink, const ITensorInfo &info_s
         info_sink.set_tensor_shape(info_source.tensor_shape());
         info_sink.set_quantization_info(info_source.quantization_info());
         info_sink.set_data_layout(info_source.data_layout());
+        info_sink.set_are_values_constant(info_source.are_values_constant());
         return true;
     }