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+/*
+ * Copyright (c) 2018-2019 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_GATHER_FIXTURE
+#define ARM_COMPUTE_TEST_GATHER_FIXTURE
+
+#include "arm_compute/core/TensorShape.h"
+#include "arm_compute/core/Types.h"
+
+#include "arm_compute/core/utils/misc/ShapeCalculator.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/Helpers.h"
+#include "tests/validation/reference/Gather.h"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace validation
+{
+template <typename TensorType, typename AccessorType, typename FunctionType, typename T>
+class GatherFixture : public framework::Fixture
+{
+public:
+ template <typename...>
+ void setup(TensorShape input_shape, TensorShape indices_shape, int axis, DataType data_type)
+ {
+ _target = compute_target(input_shape, data_type, axis, indices_shape);
+ _reference = compute_reference(input_shape, data_type, axis, indices_shape);
+ }
+
+protected:
+ template <typename U>
+ void fill(U &&tensor)
+ {
+ library->fill_tensor_uniform(tensor, 0);
+ }
+
+ template <typename U>
+ void generate_indices(U &&indices, const TensorShape &input_shape, uint32_t actual_axis, TensorShape indices_shape)
+ {
+ std::mt19937 gen(library->seed());
+ uint32_t *indices_ptr = static_cast<uint32_t *>(indices.data());
+
+ std::uniform_int_distribution<uint32_t> dist_index(0, input_shape[actual_axis] - 1);
+ //Let's consider 1D indices
+ for(unsigned int ind = 0; ind < indices_shape[0]; ind++)
+ {
+ indices_ptr[ind] = dist_index(gen);
+ }
+ }
+
+ TensorType compute_target(const TensorShape &input_shape,
+ DataType data_type,
+ int axis,
+ const TensorShape indices_shape)
+ {
+ // Create tensors
+ TensorType src = create_tensor<TensorType>(input_shape, data_type);
+ TensorType indices_tensor = create_tensor<TensorType>(indices_shape, DataType::U32);
+ const uint32_t actual_axis = wrap_around(axis, static_cast<int>(input_shape.num_dimensions()));
+ TensorShape output_shape = arm_compute::misc::shape_calculator::compute_gather_shape(input_shape, indices_shape, actual_axis);
+ TensorType dst = create_tensor<TensorType>(output_shape, data_type);
+
+ // Create and configure function
+ FunctionType gather;
+ gather.configure(&src, &indices_tensor, &dst, axis);
+
+ ARM_COMPUTE_EXPECT(src.info()->is_resizable(), framework::LogLevel::ERRORS);
+ ARM_COMPUTE_EXPECT(indices_tensor.info()->is_resizable(), framework::LogLevel::ERRORS);
+ ARM_COMPUTE_EXPECT(dst.info()->is_resizable(), framework::LogLevel::ERRORS);
+
+ // Allocate tensors
+ src.allocator()->allocate();
+ indices_tensor.allocator()->allocate();
+ dst.allocator()->allocate();
+
+ ARM_COMPUTE_EXPECT(!src.info()->is_resizable(), framework::LogLevel::ERRORS);
+ ARM_COMPUTE_EXPECT(!indices_tensor.info()->is_resizable(), framework::LogLevel::ERRORS);
+ ARM_COMPUTE_EXPECT(!dst.info()->is_resizable(), framework::LogLevel::ERRORS);
+
+ // Fill tensors
+ fill(AccessorType(src));
+ generate_indices(AccessorType(indices_tensor), input_shape, actual_axis, indices_shape);
+
+ // Compute function
+ gather.run();
+
+ return dst;
+ }
+
+ SimpleTensor<T> compute_reference(const TensorShape &input_shape,
+ DataType data_type,
+ int axis,
+ const TensorShape indices_shape)
+ {
+ // Create reference tensor
+ SimpleTensor<T> src{ input_shape, data_type };
+ SimpleTensor<uint32_t> indices_tensor{ indices_shape, DataType::U32 };
+ const uint32_t actual_axis = wrap_around(axis, static_cast<int>(input_shape.num_dimensions()));
+
+ // Fill reference tensor
+ fill(src);
+ generate_indices(indices_tensor, input_shape, actual_axis, indices_shape);
+
+ return reference::gather(src, indices_tensor, actual_axis);
+ }
+
+ TensorType _target{};
+ SimpleTensor<T> _reference{};
+};
+
+} // namespace validation
+} // namespace test
+} // namespace arm_compute
+
+#endif /* ARM_COMPUTE_TEST_GATHER_FIXTURE */