Implement Quantized MatMul kernel using MMUL extension

Resolves: COMPMID-6475
Change-Id: Ic867cdfff5d4391cb749a04bf7cc35cda63d3b71
Signed-off-by: Gunes Bayir <gunes.bayir@arm.com>
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/10311
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Gian Marco Iodice <gianmarco.iodice@arm.com>
Benchmark: Arm Jenkins <bsgcomp@arm.com>

1 files changed, 97 insertions, 0 deletions

diff --git a/tests/datasets/MatMulLowpMMULDataset.h b/tests/datasets/MatMulLowpMMULDataset.h
new file mode 100644
index 0000000000..1b22e1061f
--- /dev/null
+++ b/tests/datasets/MatMulLowpMMULDataset.h
@@ -0,0 +1,97 @@
+/*
+ * 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.
+ */
+
+#ifndef ACL_TESTS_DATASETS_MATMULLOWPMMULDATASET_H
+#define ACL_TESTS_DATASETS_MATMULLOWPMMULDATASET_H
+
+#include "arm_compute/core/TensorShape.h"
+#include "arm_compute/core/Types.h"
+#include "tests/datasets/MatMulDataset.h"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace datasets
+{
+/** MatMulLowp MMUL shapes are similar to MatMul MMUL shapes except that K has to be a
+ * multiple of MMUL_K0 which is 16 (e.g. see src/gpu/cl/kernels/ClMatMulLowpNativeMMULKernel.cpp for the definition)
+ */
+class SmallMatMulLowpMMULDataset final : public MatMulDataset
+{
+public:
+    SmallMatMulLowpMMULDataset()
+    {
+        add_config(TensorShape(16U, 4U), TensorShape(4U, 16U), TensorShape(4U, 4U)); // same as mmul block
+        add_config(TensorShape(96U, 1U), TensorShape(1U, 96U), TensorShape(1U, 1U)); // vector x vector
+        add_config(TensorShape(32U, 4U, 2U), TensorShape(16U, 32U, 2U), TensorShape(16U, 4U, 2U));
+        add_config(TensorShape(48U, 2U), TensorShape(17U, 48U), TensorShape(17U, 2U));
+        add_config(TensorShape(32U, 6U), TensorShape(7U, 32U), TensorShape(7U, 6U));
+    }
+};
+
+// This dataset is for smaller number of tests that will still use small shapes
+// e.g. not repeating everything for QASYMM8 while we're already testing for QASYMM8_SIGNED
+class SmallMatMulLowpMMULDatasetSubset final : public MatMulDataset
+{
+public:
+    SmallMatMulLowpMMULDatasetSubset()
+    {
+        add_config(TensorShape(32U, 4U, 2U), TensorShape(16U, 32U, 2U), TensorShape(16U, 4U, 2U));
+        add_config(TensorShape(32U, 6U), TensorShape(7U, 32U), TensorShape(7U, 6U));
+    }
+};
+
+class SmallMatMulLowpMMULWithBiasDataset final : public MatMulDataset
+{
+public:
+    SmallMatMulLowpMMULWithBiasDataset()
+    {
+        add_config(TensorShape(32U, 4U, 2U, 2U), TensorShape(16U, 32U, 2U, 2U), TensorShape(16U, 4U, 2U, 2U));
+    }
+};
+
+class LargeMatMulLowpMMULDataset final : public MatMulDataset
+{
+public:
+    LargeMatMulLowpMMULDataset()
+    {
+        add_config(TensorShape(192U, 38U, 3U, 2U), TensorShape(21U, 192U, 3U, 2U), TensorShape(21U, 38U, 3U, 2U));
+    }
+};
+
+class HighDimensionalMatMulLowpMMULDataset final : public MatMulDataset
+{
+public:
+    HighDimensionalMatMulLowpMMULDataset()
+    {
+        add_config(TensorShape(16U, 5U, 2U, 2U, 2U, 2U), TensorShape(5U, 16U, 2U, 2U, 2U, 2U), TensorShape(5U, 5U, 2U, 2U, 2U, 2U)); // 6D tensor
+    }
+};
+
+} // namespace datasets
+} // namespace test
+} // namespace arm_compute
+
+#endif // ACL_TESTS_DATASETS_MATMULLOWPMMULDATASET_H