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author | Michele Di Giorgio <michele.digiorgio@arm.com> | 2019-06-04 18:43:35 +0100 |
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committer | Michele Di Giorgio <michele.digiorgio@arm.com> | 2019-06-11 12:30:16 +0000 |
commit | 5b48ad7d43c3d1c2fdbae64beac3f37bc6697338 (patch) | |
tree | 6a4f5fd4e510787e8ad7e815330eadfb587b35f8 /tests/validation/fixtures/MeanStdDevNormalizationLayerFixture.h | |
parent | 761c8d02ff875877db7aa7c850cf8d128592e822 (diff) | |
download | ComputeLibrary-5b48ad7d43c3d1c2fdbae64beac3f37bc6697338.tar.gz |
COMPMID-2386: Add support for CLMeanStdNormalizationLayer
Change-Id: I0323b2410b222fd08933da22de455e798a60a0b1
Signed-off-by: Michele Di Giorgio <michele.digiorgio@arm.com>
Reviewed-on: https://review.mlplatform.org/c/1297
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Gian Marco Iodice <gianmarco.iodice@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Diffstat (limited to 'tests/validation/fixtures/MeanStdDevNormalizationLayerFixture.h')
-rw-r--r-- | tests/validation/fixtures/MeanStdDevNormalizationLayerFixture.h | 124 |
1 files changed, 124 insertions, 0 deletions
diff --git a/tests/validation/fixtures/MeanStdDevNormalizationLayerFixture.h b/tests/validation/fixtures/MeanStdDevNormalizationLayerFixture.h new file mode 100644 index 0000000000..1c48b74baf --- /dev/null +++ b/tests/validation/fixtures/MeanStdDevNormalizationLayerFixture.h @@ -0,0 +1,124 @@ +/* + * 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_MEAN_STDDEV_NORMALIZATION_LAYER_FIXTURE +#define ARM_COMPUTE_TEST_MEAN_STDDEV_NORMALIZATION_LAYER_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/Helpers.h" +#include "tests/validation/reference/MeanStdDevNormalizationLayer.h" + +namespace arm_compute +{ +namespace test +{ +namespace validation +{ +template <typename TensorType, typename AccessorType, typename FunctionType, typename T> +class MeanStdDevNormalizationLayerValidationFixture : public framework::Fixture +{ +public: + template <typename...> + void setup(TensorShape shape, DataType dt, bool in_place, float epsilon = 1e-8f) + { + _data_type = dt; + _target = compute_target(shape, dt, in_place, epsilon); + _reference = compute_reference(shape, dt, epsilon); + } + +protected: + template <typename U> + void fill(U &&src_tensor) + { + const float min_bound = -1.f; + const float max_bound = 1.f; + std::uniform_real_distribution<> distribution(min_bound, max_bound); + library->fill(src_tensor, distribution, 0); + } + + TensorType compute_target(TensorShape shape, DataType dt, bool in_place, float epsilon) + { + // Create tensors + TensorType src = create_tensor<TensorType>(shape, dt, 1); + TensorType dst; + + TensorType *dst_ptr = in_place ? &src : &dst; + + // Create and configure function + FunctionType norm; + norm.configure(&src, dst_ptr, epsilon); + + 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(); + ARM_COMPUTE_EXPECT(!src.info()->is_resizable(), framework::LogLevel::ERRORS); + + if(!in_place) + { + dst.allocator()->allocate(); + ARM_COMPUTE_EXPECT(!dst.info()->is_resizable(), framework::LogLevel::ERRORS); + } + + // Fill tensors + fill(AccessorType(src)); + + // Compute function + norm.run(); + + if(in_place) + { + return src; + } + else + { + return dst; + } + } + + SimpleTensor<T> compute_reference(const TensorShape &shape, DataType dt, float epsilon) + { + // Create reference + SimpleTensor<T> ref_src{ shape, dt, 1 }; + + // Fill reference + fill(ref_src); + + return reference::mean_std_normalization_layer(ref_src, epsilon); + } + + TensorType _target{}; + SimpleTensor<T> _reference{}; + DataType _data_type{}; +}; +} // namespace validation +} // namespace test +} // namespace arm_compute +#endif /* ARM_COMPUTE_TEST_MEAN_STDDEV_NORMALIZATION_LAYER_FIXTURE */ |