Implement MatMul Function

Resolves: COMPMID-5949
Signed-off-by: Ramy Elgammal <ramy.elgammal@arm.com>
Change-Id: Idd8cfe6ea94a14f0b23178f6781251b5f0955563
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/9390
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Gunes Bayir <gunes.bayir@arm.com>
Benchmark: Arm Jenkins <bsgcomp@arm.com>

1 files changed, 94 insertions, 0 deletions

diff --git a/tests/validation/CL/MatMul.cpp b/tests/validation/CL/MatMul.cpp
new file mode 100644
index 0000000000..bd259f785e
--- /dev/null
+++ b/tests/validation/CL/MatMul.cpp
@@ -0,0 +1,94 @@
+/*
+ * Copyright (c) 2023 Arm Limited.
+ *
+ * SPDX-License-Identifier: MIT
+ *
+ * Permission is hereby granted, free of charge, to any person obtaining a copy
+ * of this software and associated documentation files (the "Software"), to
+ * deal in the Software without restriction, including without limitation the
+ * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
+ * sell copies of the Software, and to permit persons to whom the Software is
+ * furnished to do so, subject to the following conditions:
+ *
+ * The above copyright notice and this permission notice shall be included in all
+ * copies or substantial portions of the Software.
+ *
+ * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+ * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+ * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+ * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+ * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+ * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+ * SOFTWARE.
+ */
+#include "arm_compute/runtime/CL/CLTensor.h"
+#include "arm_compute/runtime/CL/functions/CLMatMul.h"
+#include "tests/CL/CLAccessor.h"
+#include "tests/datasets/LargeMatMulDataset.h"
+#include "tests/datasets/SmallMatMulDataset.h"
+#include "tests/framework/Macros.h"
+#include "tests/framework/datasets/Datasets.h"
+#include "tests/validation/Validation.h"
+#include "tests/validation/fixtures/MatMulFixture.h"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace validation
+{
+namespace
+{
+RelativeTolerance<float> tolerance_f32(0.001f); /**< Tolerance value for comparing reference's output against implementation's output for fp32 data type */
+constexpr float          abs_tolerance_f32(
+    0.0001f); /**< Absolute tolerance value for comparing reference's output against implementation's output for fp32 data type in case using relative tolerance fails because of small values */
+constexpr float abs_tolerance_f16(
+    0.001f);                                                   /**< Absolute tolerance value for comparing reference's output against implementation's output for fp16  data type in case using relative tolerance fails because of small values */
+RelativeTolerance<half_float::half> tolerance_f16(half(0.01)); /**< Tolerance value for comparing reference's output against implementation's output for fp16 data type */
+} // namespace
+template <typename T>
+using MatMulFixture = MatMulValidationFixture<CLTensor, CLAccessor, CLMatMul, T>;
+
+TEST_SUITE(CL)
+TEST_SUITE(MatMul)
+TEST_SUITE(FP32)
+FIXTURE_DATA_TEST_CASE(RunSmall, MatMulFixture<float>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallMatMulDataset(),
+                                                                                                                  framework::dataset::make("pretransose_A", { false, true })),
+                                                                                                          framework::dataset::make("pretransose_B", { false, true })),
+                                                                                                  framework::dataset::make("DataType", DataType::F32)))
+{
+    // Validate output
+    validate(CLAccessor(_target), _reference, tolerance_f32);
+}
+FIXTURE_DATA_TEST_CASE(RunLarge, MatMulFixture<float>, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeMatMulDataset(),
+                                                                                                                framework::dataset::make("pretransose_A", { false, true })),
+                                                                                                        framework::dataset::make("pretransose_B", { false, true })),
+                                                                                                framework::dataset::make("DataType", DataType::F32)))
+{
+    // Validate output
+    validate(CLAccessor(_target), _reference, tolerance_f32);
+}
+TEST_SUITE_END() // FP32
+TEST_SUITE(FP16)
+FIXTURE_DATA_TEST_CASE(RunSmall, MatMulFixture<half>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallMatMulDataset(),
+                                                                                                                 framework::dataset::make("pretransose_A", { false, true })),
+                                                                                                         framework::dataset::make("pretransose_B", { false, true })),
+                                                                                                 framework::dataset::make("DataType", DataType::F16)))
+{
+    // Validate output
+    validate(CLAccessor(_target), _reference, tolerance_f16);
+}
+FIXTURE_DATA_TEST_CASE(RunLarge, MatMulFixture<half>, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeMatMulDataset(),
+                                                                                                               framework::dataset::make("pretransose_A", { false, true })),
+                                                                                                       framework::dataset::make("pretransose_B", { false, true })),
+                                                                                               framework::dataset::make("DataType", DataType::F16)))
+{
+    // Validate output
+    validate(CLAccessor(_target), _reference, tolerance_f16);
+}
+TEST_SUITE_END() // FP16
+TEST_SUITE_END() // MatMul
+TEST_SUITE_END() // CL
+} // namespace validation
+} // namespace test
+} // namespace arm_compute