Porting accumulate tests to the new framework.

(COMPMID-626) accumulate_validation
(COMPMID-573) accumulate_weighted_validation
(COMPMID-574) accumulate_squared_validation

Change-Id: I6a0db46e809e03d785515ca51e867bec9c29e376
Reviewed-on: http://mpd-gerrit.cambridge.arm.com/91758
Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>
Reviewed-by: Pablo Tello <pablo.tello@arm.com>
Tested-by: Kaizen <jeremy.johnson+kaizengerrit@arm.com>

1 files changed, 193 insertions, 0 deletions

diff --git a/tests/validation/fixtures/AccumulateFixture.h b/tests/validation/fixtures/AccumulateFixture.h
new file mode 100644
index 0000000000..3d8ca2dafc
--- /dev/null
+++ b/tests/validation/fixtures/AccumulateFixture.h
@@ -0,0 +1,193 @@
+/*
+ * 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_ACCUMULATE_FIXTURE
+#define ARM_COMPUTE_TEST_ACCUMULATE_FIXTURE
+
+#include "arm_compute/core/TensorShape.h"
+#include "arm_compute/core/Types.h"
+#include "tests/AssetsLibrary.h"
+#include "tests/Globals.h"
+#include "tests/IAccessor.h"
+#include "tests/framework/Asserts.h"
+#include "tests/framework/Fixture.h"
+#include "tests/validation/CPP/Accumulate.h"
+#include "tests/validation/Helpers.h"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace validation
+{
+template <typename TensorType, typename AccessorType, typename FunctionType, typename T1, typename T2>
+class AccumulateBaseValidationFixture : public framework::Fixture
+{
+public:
+    template <typename...>
+    void setup(TensorShape shape, DataType data_type, DataType output_data_type)
+    {
+        _target    = compute_target(shape, data_type, output_data_type);
+        _reference = compute_reference(shape, data_type, output_data_type);
+    }
+
+protected:
+    template <typename U, typename D>
+    void fill(U &&tensor, int i, D max)
+    {
+        library->fill_tensor_uniform(tensor, i, static_cast<D>(0), max);
+    }
+
+    TensorType compute_target(const TensorShape &shape, DataType data_type, DataType output_data_type)
+    {
+        // Create tensors
+        TensorType ref_src = create_tensor<TensorType>(shape, data_type);
+        TensorType dst     = create_tensor<TensorType>(shape, output_data_type);
+
+        // Create and configure function
+        FunctionType accum;
+        accum_conf(accum, ref_src, dst);
+
+        ARM_COMPUTE_EXPECT(ref_src.info()->is_resizable(), framework::LogLevel::ERRORS);
+        ARM_COMPUTE_EXPECT(dst.info()->is_resizable(), framework::LogLevel::ERRORS);
+
+        // Allocate tensors
+        ref_src.allocator()->allocate();
+        dst.allocator()->allocate();
+
+        ARM_COMPUTE_EXPECT(!ref_src.info()->is_resizable(), framework::LogLevel::ERRORS);
+        ARM_COMPUTE_EXPECT(!dst.info()->is_resizable(), framework::LogLevel::ERRORS);
+
+        const T1 max = std::numeric_limits<T1>::max();
+
+        // Fill tensors
+        fill(AccessorType(ref_src), 0, max);
+        fill(AccessorType(dst), 1, static_cast<T2>(max));
+
+        // Compute function
+        accum.run();
+
+        return dst;
+    }
+
+    SimpleTensor<T2> compute_reference(const TensorShape &shape, DataType data_type, DataType output_data_type)
+    {
+        // Create reference
+        SimpleTensor<T1> ref_src{ shape, data_type };
+
+        const T1 max = std::numeric_limits<T1>::max();
+
+        // Fill reference
+        fill(ref_src, 0, max);
+
+        return accum_ref(ref_src, output_data_type);
+    }
+
+    virtual void accum_conf(FunctionType &func, const TensorType &input, TensorType &accum) = 0;
+
+    virtual SimpleTensor<T2> accum_ref(const SimpleTensor<T1> &input, DataType output_data_type) = 0;
+
+    TensorType       _target{};
+    SimpleTensor<T2> _reference{};
+};
+
+template <typename TensorType, typename AccessorType, typename FunctionType, typename T1, typename T2>
+class AccumulateValidationFixture : public AccumulateBaseValidationFixture<TensorType, AccessorType, FunctionType, T1, T2>
+{
+public:
+    template <typename...>
+    void setup(TensorShape shape, DataType data_type, DataType output_data_type)
+    {
+        AccumulateBaseValidationFixture<TensorType, AccessorType, FunctionType, T1, T2>::setup(shape, data_type, output_data_type);
+    }
+
+    virtual void accum_conf(FunctionType &func, const TensorType &input, TensorType &accum) override
+    {
+        func.configure(&input, &accum);
+    }
+
+    virtual SimpleTensor<T2> accum_ref(const SimpleTensor<T1> &input, DataType output_data_type) override
+    {
+        return reference::accumulate<T1, T2>(input, output_data_type);
+    }
+};
+
+template <typename TensorType, typename AccessorType, typename FunctionType, typename T1, typename T2>
+class AccumulateWeightedValidationFixture : public AccumulateBaseValidationFixture<TensorType, AccessorType, FunctionType, T1, T2>
+{
+public:
+    template <typename...>
+    void setup(TensorShape shape, DataType data_type, DataType output_data_type)
+    {
+        std::mt19937                     gen(library->seed());
+        std::uniform_real_distribution<> float_dist(0, 1);
+
+        _alpha = float_dist(gen);
+
+        AccumulateBaseValidationFixture<TensorType, AccessorType, FunctionType, T1, T2>::setup(shape, data_type, output_data_type);
+    }
+
+    virtual void accum_conf(FunctionType &func, const TensorType &input, TensorType &accum) override
+    {
+        func.configure(&input, _alpha, &accum);
+    }
+
+    virtual SimpleTensor<T2> accum_ref(const SimpleTensor<T1> &input, DataType output_data_type) override
+    {
+        return reference::accumulate_weighted<T1, T2>(input, _alpha, output_data_type);
+    }
+
+    float _alpha{ 0.f };
+};
+
+template <typename TensorType, typename AccessorType, typename FunctionType, typename T1, typename T2>
+class AccumulateSquaredValidationFixture : public AccumulateBaseValidationFixture<TensorType, AccessorType, FunctionType, T1, T2>
+{
+public:
+    template <typename...>
+    void setup(TensorShape shape, DataType data_type, DataType output_data_type)
+    {
+        std::mt19937                            gen(library->seed());
+        std::uniform_int_distribution<uint32_t> int_dist(0, 15);
+
+        _shift = int_dist(gen);
+
+        AccumulateBaseValidationFixture<TensorType, AccessorType, FunctionType, T1, T2>::setup(shape, data_type, output_data_type);
+    }
+
+    virtual void accum_conf(FunctionType &func, const TensorType &input, TensorType &accum) override
+    {
+        func.configure(&input, _shift, &accum);
+    }
+
+    virtual SimpleTensor<T2> accum_ref(const SimpleTensor<T1> &input, DataType output_data_type) override
+    {
+        return reference::accumulate_squared<T1, T2>(input, _shift, output_data_type);
+    }
+
+    uint32_t _shift{ 0U };
+};
+} // namespace validation
+} // namespace test
+} // namespace arm_compute
+#endif /* ARM_COMPUTE_TEST_ACCUMULATE_FIXTURE */