COMPMID-1574 Implement ReduceMean in OpenCL
Change-Id: Id331199f569f52a37280a9ada5bf84694580b93c
Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/152843
Tested-by: bsgcomp <bsgcomp@arm.com>
Reviewed-by: Michele DiGiorgio <michele.digiorgio@arm.com>
diff --git a/tests/validation/fixtures/ReduceMeanFixture.h b/tests/validation/fixtures/ReduceMeanFixture.h
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+++ b/tests/validation/fixtures/ReduceMeanFixture.h
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+/*
+ * Copyright (c) 2018 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_REDUCE_MEAN_FIXTURE
+#define ARM_COMPUTE_TEST_REDUCE_MEAN_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/ReductionOperation.h"
+#include "tests/validation/reference/ReshapeLayer.h"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace validation
+{
+template <typename TensorType, typename AccessorType, typename FunctionType, typename T>
+class ReduceMeanValidationFixture : public framework::Fixture
+{
+public:
+ template <typename...>
+ void setup(TensorShape shape, DataType data_type, Coordinates axis, bool keep_dims, QuantizationInfo quantization_info)
+ {
+ _target = compute_target(shape, data_type, axis, keep_dims, quantization_info);
+ _reference = compute_reference(shape, data_type, axis, keep_dims, quantization_info);
+ }
+
+protected:
+ template <typename U>
+ void fill(U &&tensor)
+ {
+ if(!is_data_type_quantized(tensor.data_type()))
+ {
+ std::uniform_real_distribution<> distribution(-1.0f, 1.0f);
+ library->fill(tensor, distribution, 0);
+ }
+ else
+ {
+ const QuantizationInfo quant_info = tensor.quantization_info();
+ const int min_bound = quant_info.quantize(-1.f, RoundingPolicy::TO_NEAREST_UP);
+ const int max_bound = quant_info.quantize(1.f, RoundingPolicy::TO_NEAREST_UP);
+ std::uniform_int_distribution<> distribution(min_bound, max_bound);
+
+ library->fill(tensor, distribution, 0);
+ }
+ }
+
+ TensorType compute_target(TensorShape &src_shape, DataType data_type, Coordinates axis, bool keep_dims, QuantizationInfo quantization_info)
+ {
+ // Create tensors
+ TensorType src = create_tensor<TensorType>(src_shape, data_type, 1, quantization_info);
+ TensorType dst;
+
+ // Create and configure function
+ FunctionType reduction_mean;
+ reduction_mean.configure(&src, axis, keep_dims, &dst);
+
+ ARM_COMPUTE_EXPECT(src.info()->is_resizable(), framework::LogLevel::ERRORS);
+ ARM_COMPUTE_EXPECT(dst.info()->is_resizable(), framework::LogLevel::ERRORS);
+
+ // Allocate tensors
+ src.allocator()->allocate();
+ dst.allocator()->allocate();
+
+ ARM_COMPUTE_EXPECT(!src.info()->is_resizable(), framework::LogLevel::ERRORS);
+ ARM_COMPUTE_EXPECT(!dst.info()->is_resizable(), framework::LogLevel::ERRORS);
+
+ // Fill tensors
+ fill(AccessorType(src));
+
+ // Compute function
+ reduction_mean.run();
+
+ return dst;
+ }
+
+ SimpleTensor<T> compute_reference(TensorShape &src_shape, DataType data_type, Coordinates axis, bool keep_dims, QuantizationInfo quantization_info)
+ {
+ // Create reference
+ SimpleTensor<T> src{ src_shape, data_type, 1, quantization_info };
+
+ // Fill reference
+ fill(src);
+
+ SimpleTensor<T> out;
+ for(unsigned int i = 0; i < axis.num_dimensions(); ++i)
+ {
+ TensorShape output_shape = i == 0 ? src_shape : out.shape();
+ output_shape.set(axis[i], 1);
+ out = reference::reduction_operation<T>(i == 0 ? src : out, output_shape, axis[i], ReductionOperation::MEAN_SUM);
+ }
+
+ if(!keep_dims)
+ {
+ TensorShape output_shape = src_shape;
+ for(unsigned int i = 0; i < axis.num_dimensions(); ++i)
+ {
+ output_shape.remove_dimension(axis[i]);
+ }
+
+ out = reference::reshape_layer(out, output_shape);
+ }
+ return out;
+ }
+
+ TensorType _target{};
+ SimpleTensor<T> _reference{};
+};
+
+template <typename TensorType, typename AccessorType, typename FunctionType, typename T>
+class ReduceMeanQuantizedFixture : public ReduceMeanValidationFixture<TensorType, AccessorType, FunctionType, T>
+{
+public:
+ template <typename...>
+ void setup(TensorShape shape, DataType data_type, Coordinates axis, bool keep_dims, QuantizationInfo quantization_info = QuantizationInfo())
+ {
+ ReduceMeanValidationFixture<TensorType, AccessorType, FunctionType, T>::setup(shape, data_type, axis, keep_dims, quantization_info);
+ }
+};
+
+template <typename TensorType, typename AccessorType, typename FunctionType, typename T>
+class ReduceMeanFixture : public ReduceMeanValidationFixture<TensorType, AccessorType, FunctionType, T>
+{
+public:
+ template <typename...>
+ void setup(TensorShape shape, DataType data_type, Coordinates axis, bool keep_dims)
+ {
+ ReduceMeanValidationFixture<TensorType, AccessorType, FunctionType, T>::setup(shape, data_type, axis, keep_dims, QuantizationInfo());
+ }
+};
+} // namespace validation
+} // namespace test
+} // namespace arm_compute
+#endif /* ARM_COMPUTE_TEST_REDUCE_MEAN_FIXTURE */