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+/*
+ * Copyright (c) 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_INSTANCENORMALIZATION_FIXTURE
+#define ARM_COMPUTE_TEST_INSTANCENORMALIZATION_FIXTURE
+
+#include "arm_compute/core/TensorShape.h"
+#include "arm_compute/core/Types.h"
+#include "arm_compute/runtime/Tensor.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/reference/InstanceNormalizationLayer.h"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace validation
+{
+template <typename TensorType, typename AccessorType, typename FunctionType, typename T>
+class InstanceNormalizationLayerValidationFixture : public framework::Fixture
+{
+public:
+ template <typename...>
+ void setup(TensorShape shape, DataType data_type, DataLayout data_layout, bool in_place)
+ {
+ _target = compute_target(shape, data_type, data_layout, in_place);
+ _reference = compute_reference(shape, data_type, data_layout);
+ }
+
+protected:
+ template <typename U>
+ void fill(U &&tensor)
+ {
+ std::uniform_real_distribution<> distribution(1.f, 2.f);
+ library->fill(tensor, distribution, 0);
+ }
+
+ TensorType compute_target(TensorShape shape, DataType data_type, DataLayout data_layout, bool in_place)
+ {
+ if(data_layout == DataLayout::NHWC)
+ {
+ permute(shape, PermutationVector(2U, 0U, 1U));
+ }
+
+ std::mt19937 gen(library->seed());
+ std::uniform_real_distribution<float> dist_gamma(1.f, 2.f);
+ std::uniform_real_distribution<float> dist_beta(-2.f, 2.f);
+ std::uniform_real_distribution<float> dist_epsilon(1e-16f, 1e-12f);
+
+ const float gamma = dist_gamma(gen);
+ const float beta = dist_beta(gen);
+ const float epsilon = dist_epsilon(gen);
+
+ // Create tensors
+ TensorType src = create_tensor<TensorType>(shape, data_type, 1, QuantizationInfo(), data_layout);
+ TensorType dst = create_tensor<TensorType>(shape, data_type, 1, QuantizationInfo(), data_layout);
+
+ // Create and configure function
+ FunctionType instance_norm_func;
+ instance_norm_func.configure(&src, in_place ? nullptr : &dst, gamma, beta, epsilon);
+
+ ARM_COMPUTE_EXPECT(src.info()->is_resizable(), framework::LogLevel::ERRORS);
+ if(!in_place)
+ {
+ ARM_COMPUTE_EXPECT(dst.info()->is_resizable(), framework::LogLevel::ERRORS);
+ }
+
+ // Allocate tensors
+ src.allocator()->allocate();
+ if(!in_place)
+ {
+ dst.allocator()->allocate();
+ }
+
+ ARM_COMPUTE_EXPECT(!src.info()->is_resizable(), framework::LogLevel::ERRORS);
+ if(!in_place)
+ {
+ ARM_COMPUTE_EXPECT(!dst.info()->is_resizable(), framework::LogLevel::ERRORS);
+ }
+
+ // Fill tensors
+ fill(AccessorType(src));
+
+ // Compute function
+ instance_norm_func.run();
+
+ if(in_place)
+ {
+ return src;
+ }
+ else
+ {
+ return dst;
+ }
+ }
+
+ SimpleTensor<T> compute_reference(const TensorShape &shape, DataType data_type, DataLayout data_layout)
+ {
+ std::mt19937 gen(library->seed());
+ std::uniform_real_distribution<float> dist_gamma(1.f, 2.f);
+ std::uniform_real_distribution<float> dist_beta(-2.f, 2.f);
+ std::uniform_real_distribution<float> dist_epsilon(1e-16f, 1e-12f);
+
+ const float gamma = dist_gamma(gen);
+ const float beta = dist_beta(gen);
+ const float epsilon = dist_epsilon(gen);
+
+ // Create reference
+ SimpleTensor<T> src{ shape, data_type };
+
+ // Fill reference
+ fill(src);
+
+ return reference::instance_normalization<T>(src, gamma, beta, epsilon);
+ }
+
+ TensorType _target{};
+ SimpleTensor<T> _reference{};
+};
+} // namespace validation
+} // namespace test
+} // namespace arm_compute
+#endif /* ARM_COMPUTE_TEST_INSTANCENORMALIZATION_FIXTURE */