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+/*
+ * Copyright (c) 2024 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_VALIDATION_FIXTURES_SCATTERLAYERFIXTURE_H
+#define ACL_TESTS_VALIDATION_FIXTURES_SCATTERLAYERFIXTURE_H
+
+#include "arm_compute/core/Utils.h"
+#include "tests/Globals.h"
+#include "tests/framework/Asserts.h" // Required for ARM_COMPUTE_ASSERT
+#include "tests/framework/Fixture.h"
+#include "tests/validation/Validation.h"
+#include "tests/validation/reference/ScatterLayer.h"
+#include "tests/SimpleTensor.h"
+#include <random>
+
+namespace arm_compute
+{
+namespace test
+{
+namespace validation
+{
+template <typename TensorType, typename AccessorType, typename FunctionType, typename T>
+class ScatterGenericValidationFixture : public framework::Fixture
+{
+public:
+ void setup(TensorShape src_shape, TensorShape updates_shape, TensorShape indices_shape, TensorShape out_shape, DataType data_type, ScatterInfo scatter_info, QuantizationInfo src_qinfo = QuantizationInfo(), QuantizationInfo o_qinfo = QuantizationInfo())
+ {
+ _target = compute_target(src_shape, updates_shape, indices_shape, out_shape, data_type, scatter_info, src_qinfo, o_qinfo);
+ _reference = compute_reference(src_shape, updates_shape, indices_shape, out_shape, data_type,scatter_info, src_qinfo , o_qinfo);
+ }
+
+protected:
+ template <typename U>
+ void fill(U &&tensor, int i, float lo = -1.f, float hi = 1.f)
+ {
+ switch(tensor.data_type())
+ {
+ case DataType::F32:
+ {
+ std::uniform_real_distribution<float> distribution(lo, hi);
+ library->fill(tensor, distribution, i);
+ break;
+ }
+ default:
+ {
+ ARM_COMPUTE_ERROR("Unsupported data type.");
+ }
+ }
+ }
+
+ TensorType compute_target(const TensorShape &shape_a, const TensorShape &shape_b, const TensorShape &shape_c, const TensorShape &out_shape, DataType data_type, const ScatterInfo info, QuantizationInfo a_qinfo, QuantizationInfo o_qinfo)
+ {
+ // 1. Create relevant tensors using ScatterInfo data structure.
+ // ----------------------------------------------------
+ // In order - src, updates, indices, output.
+ TensorType src = create_tensor<TensorType>(shape_a, data_type, 1, a_qinfo);
+ TensorType updates = create_tensor<TensorType>(shape_b, data_type, 1, a_qinfo);
+ TensorType indices = create_tensor<TensorType>(shape_c, DataType::U32, 1, QuantizationInfo());
+ TensorType dst = create_tensor<TensorType>(out_shape, data_type, 1, o_qinfo);
+
+ FunctionType scatter;
+
+ // Configure operator
+ scatter.configure(&src, &updates, &indices, &dst, info);
+
+ // Assertions
+ ARM_COMPUTE_ASSERT(src.info()->is_resizable());
+ ARM_COMPUTE_ASSERT(updates.info()->is_resizable());
+ ARM_COMPUTE_ASSERT(indices.info()->is_resizable());
+ ARM_COMPUTE_ASSERT(dst.info()->is_resizable());
+
+ // Allocate tensors
+ src.allocator()->allocate();
+ updates.allocator()->allocate();
+ indices.allocator()->allocate();
+ dst.allocator()->allocate();
+
+ ARM_COMPUTE_ASSERT(!src.info()->is_resizable());
+ ARM_COMPUTE_ASSERT(!updates.info()->is_resizable());
+ ARM_COMPUTE_ASSERT(!indices.info()->is_resizable());
+ ARM_COMPUTE_ASSERT(!dst.info()->is_resizable());
+
+ // Fill update (a) and indices (b) tensors.
+ fill(AccessorType(src), 0);
+ fill(AccessorType(updates), 1);
+ fill(AccessorType(indices), 2);
+
+ scatter.run();
+
+ return dst;
+ }
+
+ SimpleTensor<T> compute_reference(const TensorShape &a_shape, const TensorShape &b_shape, const TensorShape &c_shape, const TensorShape &out_shape, DataType data_type,
+ ScatterInfo info, QuantizationInfo a_qinfo, QuantizationInfo o_qinfo)
+ {
+ // Output Quantization not currently in use - fixture should be extended to support this.
+ ARM_COMPUTE_UNUSED(o_qinfo);
+
+ // Create reference tensors
+ SimpleTensor<T> src{ a_shape, data_type, 1, a_qinfo };
+ SimpleTensor<T> updates{b_shape, data_type, 1, QuantizationInfo() };
+ SimpleTensor<uint32_t> indices{ c_shape, DataType::U32, 1, QuantizationInfo() };
+
+ // Fill reference
+ fill(src, 0);
+ fill(updates, 1);
+ fill(indices, 2);
+
+ // Calculate individual reference.
+ auto result = reference::scatter_layer<T>(src, updates, indices, out_shape, info);
+
+ return result;
+ }
+
+ TensorType _target{};
+ SimpleTensor<T> _reference{};
+};
+
+// This fixture will use the same shape for updates as indices.
+template <typename TensorType, typename AccessorType, typename FunctionType, typename T>
+class ScatterValidationFixture : public ScatterGenericValidationFixture<TensorType, AccessorType, FunctionType, T>
+{
+public:
+ void setup(TensorShape src_shape, TensorShape indices_shape, TensorShape out_shape, DataType data_type, ScatterFunction func, bool zero_init)
+ {
+ ScatterGenericValidationFixture<TensorType, AccessorType, FunctionType, T>::setup(src_shape, indices_shape, indices_shape, out_shape, data_type, ScatterInfo(func, zero_init), QuantizationInfo(), QuantizationInfo());
+ }
+};
+
+} // namespace validation
+} // namespace test
+} // namespace arm_compute
+#endif // ACL_TESTS_VALIDATION_FIXTURES_SCATTERLAYERFIXTURE_H