COMPMID-481: Add gemmlowp_aarch64_v8p4 kernel.

Change-Id: I15496b16ffd636f5bff76572e750df7e15c80830
Reviewed-on: http://mpd-gerrit.cambridge.arm.com/90532
Reviewed-by: Anthony Barbier <anthony.barbier@arm.com>
Tested-by: Kaizen <jeremy.johnson+kaizengerrit@arm.com>

1 files changed, 125 insertions, 0 deletions

diff --git a/tests/benchmark/fixtures/GEMMLowpFixture.h b/tests/benchmark/fixtures/GEMMLowpFixture.h
new file mode 100644
index 0000000000..b640705990
--- /dev/null
+++ b/tests/benchmark/fixtures/GEMMLowpFixture.h
@@ -0,0 +1,125 @@
+/*
+ * Copyright (c) 2017 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 ARM_COMPUTE_TEST_GEMMFIXTURE
+#define ARM_COMPUTE_TEST_GEMMFIXTURE
+
+#include "arm_compute/core/TensorShape.h"
+#include "arm_compute/core/Types.h"
+#include "tests/Globals.h"
+#include "tests/Utils.h"
+#include "tests/framework/Fixture.h"
+
+namespace arm_compute
+{
+namespace test
+{
+template <typename TensorType, typename Function, typename Accessor, bool Transposed = false>
+class GEMMInterleaveBlockedFixture : public framework::Fixture
+{
+public:
+    template <typename...>
+    void setup(size_t x, size_t y, int int_by, int block)
+    {
+        const float       interleave_by_f32 = int_by;
+        const TensorShape shape_a(x, y);
+        const TensorShape shape_b(static_cast<size_t>(x * interleave_by_f32), static_cast<size_t>(std::ceil(y / interleave_by_f32)));
+        // Create tensors
+        a = create_tensor<TensorType>(shape_a, DataType::U8, 1);
+        b = create_tensor<TensorType>(shape_b, DataType::U8, 1);
+
+        // Create and configure function
+        f.configure(&a, &b, int_by, block, Transposed);
+
+        // Allocate tensors
+        a.allocator()->allocate();
+        b.allocator()->allocate();
+    }
+    void run()
+    {
+        f.run();
+    }
+
+    void teardown()
+    {
+        a.allocator()->free();
+        b.allocator()->free();
+    }
+
+private:
+    TensorType a{};
+    TensorType b{};
+    Function   f{};
+};
+
+/** Fixture that can be used for NEON and CL */
+template <typename TensorType, typename Function, typename Accessor>
+class GEMMLowpFixture : public framework::Fixture
+{
+public:
+    template <typename...>
+    void setup(size_t m, size_t n, size_t k)
+    {
+        const TensorShape shape_a(k, m);
+        const TensorShape shape_b(n, k);
+        const TensorShape shape_c(n, m);
+        // Create tensors
+        a = create_tensor<TensorType>(shape_a, DataType::U8, 1);
+        b = create_tensor<TensorType>(shape_b, DataType::U8, 1);
+        c = create_tensor<TensorType>(shape_c, DataType::U32, 1);
+
+        // Create and configure function
+        gemmlowp.configure(&a, &b, &c);
+
+        // Allocate tensors
+        a.allocator()->allocate();
+        b.allocator()->allocate();
+        c.allocator()->allocate();
+
+        // Fill tensors
+        library->fill_tensor_uniform(Accessor(a), 0);
+        library->fill_tensor_uniform(Accessor(b), 1);
+        library->fill_tensor_uniform(Accessor(c), 2);
+    }
+    void run()
+    {
+        gemmlowp.run();
+    }
+
+    void teardown()
+    {
+        a.allocator()->free();
+        b.allocator()->free();
+        c.allocator()->free();
+    }
+
+private:
+    TensorType a{};
+    TensorType b{};
+    TensorType c{};
+    Function   gemmlowp{};
+};
+
+} // namespace test
+} // namespace arm_compute
+#endif /* ARM_COMPUTE_TEST_GEMMFIXTURE */