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author | Sanghoon Lee <sanghoon.lee@arm.com> | 2017-09-15 14:10:48 +0100 |
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committer | Anthony Barbier <anthony.barbier@arm.com> | 2018-11-02 16:35:24 +0000 |
commit | 9688378ce14f0c2663a27b2c879ed1928247a08e (patch) | |
tree | cf7241f58b054eb3acf6a8e5331cb8c7b74b8e62 /tests/validation/fixtures/BatchNormalizationLayerFixture.h | |
parent | 6a3e976d71ecca2e6fdb604618fd94969eff9861 (diff) | |
download | ComputeLibrary-9688378ce14f0c2663a27b2c879ed1928247a08e.tar.gz |
COMPMID-494: Port BatchNormalizationLayer to new validation
Change-Id: Ief5334dd1cf571d977acf4ce9e5f580c5c9ab433
Reviewed-on: http://mpd-gerrit.cambridge.arm.com/88158
Tested-by: Kaizen <jeremy.johnson+kaizengerrit@arm.com>
Reviewed-by: Pablo Tello <pablo.tello@arm.com>
Diffstat (limited to 'tests/validation/fixtures/BatchNormalizationLayerFixture.h')
-rw-r--r-- | tests/validation/fixtures/BatchNormalizationLayerFixture.h | 167 |
1 files changed, 167 insertions, 0 deletions
diff --git a/tests/validation/fixtures/BatchNormalizationLayerFixture.h b/tests/validation/fixtures/BatchNormalizationLayerFixture.h new file mode 100644 index 0000000000..f4772a8dd9 --- /dev/null +++ b/tests/validation/fixtures/BatchNormalizationLayerFixture.h @@ -0,0 +1,167 @@ +/* + * Copyright (c) 2017 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_BATCH_NORMALIZATION_LAYER_FIXTURE +#define ARM_COMPUTE_TEST_BATCH_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/CPP/BatchNormalizationLayer.h" +#include "tests/validation/Helpers.h" + +namespace arm_compute +{ +namespace test +{ +namespace validation +{ +template <typename TensorType, typename AccessorType, typename FunctionType, typename T> +class BatchNormalizationLayerValidationFixedPointFixture : public framework::Fixture +{ +public: + template <typename...> + void setup(TensorShape shape0, TensorShape shape1, float epsilon, DataType dt, int fractional_bits) + { + _fractional_bits = fractional_bits; + _data_type = dt; + _target = compute_target(shape0, shape1, epsilon, dt, fractional_bits); + _reference = compute_reference(shape0, shape1, epsilon, dt, fractional_bits); + } + +protected: + template <typename U> + void fill(U &&src_tensor, U &&mean_tensor, U &&var_tensor, U &&beta_tensor, U &&gamma_tensor) + { + if(is_data_type_float(_data_type)) + { + float min_bound = 0.f; + float max_bound = 0.f; + std::tie(min_bound, max_bound) = get_batchnormalization_layer_test_bounds<T>(); + std::uniform_real_distribution<> distribution(min_bound, max_bound); + std::uniform_real_distribution<> distribution_var(0, max_bound); + library->fill(src_tensor, distribution, 0); + library->fill(mean_tensor, distribution, 1); + library->fill(var_tensor, distribution_var, 0); + library->fill(beta_tensor, distribution, 3); + library->fill(gamma_tensor, distribution, 4); + } + else + { + int min_bound = 0; + int max_bound = 0; + std::tie(min_bound, max_bound) = get_batchnormalization_layer_test_bounds<T>(_fractional_bits); + std::uniform_int_distribution<> distribution(min_bound, max_bound); + std::uniform_int_distribution<> distribution_var(0, max_bound); + library->fill(src_tensor, distribution, 0); + library->fill(mean_tensor, distribution, 1); + library->fill(var_tensor, distribution_var, 0); + library->fill(beta_tensor, distribution, 3); + library->fill(gamma_tensor, distribution, 4); + } + } + + TensorType compute_target(const TensorShape &shape0, const TensorShape &shape1, float epsilon, DataType dt, int fixed_point_position) + { + // Create tensors + TensorType src = create_tensor<TensorType>(shape0, dt, 1, fixed_point_position); + TensorType dst = create_tensor<TensorType>(shape0, dt, 1, fixed_point_position); + TensorType mean = create_tensor<TensorType>(shape1, dt, 1, fixed_point_position); + TensorType var = create_tensor<TensorType>(shape1, dt, 1, fixed_point_position); + TensorType beta = create_tensor<TensorType>(shape1, dt, 1, fixed_point_position); + TensorType gamma = create_tensor<TensorType>(shape1, dt, 1, fixed_point_position); + + // Create and configure function + FunctionType norm; + norm.configure(&src, &dst, &mean, &var, &beta, &gamma, epsilon); + + ARM_COMPUTE_EXPECT(src.info()->is_resizable(), framework::LogLevel::ERRORS); + ARM_COMPUTE_EXPECT(dst.info()->is_resizable(), framework::LogLevel::ERRORS); + ARM_COMPUTE_EXPECT(mean.info()->is_resizable(), framework::LogLevel::ERRORS); + ARM_COMPUTE_EXPECT(var.info()->is_resizable(), framework::LogLevel::ERRORS); + ARM_COMPUTE_EXPECT(beta.info()->is_resizable(), framework::LogLevel::ERRORS); + ARM_COMPUTE_EXPECT(gamma.info()->is_resizable(), framework::LogLevel::ERRORS); + + // Allocate tensors + src.allocator()->allocate(); + dst.allocator()->allocate(); + mean.allocator()->allocate(); + var.allocator()->allocate(); + beta.allocator()->allocate(); + gamma.allocator()->allocate(); + + ARM_COMPUTE_EXPECT(!src.info()->is_resizable(), framework::LogLevel::ERRORS); + ARM_COMPUTE_EXPECT(!dst.info()->is_resizable(), framework::LogLevel::ERRORS); + ARM_COMPUTE_EXPECT(!mean.info()->is_resizable(), framework::LogLevel::ERRORS); + ARM_COMPUTE_EXPECT(!var.info()->is_resizable(), framework::LogLevel::ERRORS); + ARM_COMPUTE_EXPECT(!beta.info()->is_resizable(), framework::LogLevel::ERRORS); + ARM_COMPUTE_EXPECT(!gamma.info()->is_resizable(), framework::LogLevel::ERRORS); + + // Fill tensors + fill(AccessorType(src), AccessorType(mean), AccessorType(var), AccessorType(beta), AccessorType(gamma)); + + // Compute function + norm.run(); + + return dst; + } + + SimpleTensor<T> compute_reference(const TensorShape &shape0, const TensorShape &shape1, float epsilon, DataType dt, int fixed_point_position) + { + // Create reference + SimpleTensor<T> ref_src{ shape0, dt, 1, fixed_point_position }; + SimpleTensor<T> ref_mean{ shape1, dt, 1, fixed_point_position }; + SimpleTensor<T> ref_var{ shape1, dt, 1, fixed_point_position }; + SimpleTensor<T> ref_beta{ shape1, dt, 1, fixed_point_position }; + SimpleTensor<T> ref_gamma{ shape1, dt, 1, fixed_point_position }; + + // Fill reference + fill(ref_src, ref_mean, ref_var, ref_beta, ref_gamma); + + return reference::batch_normalization_layer(ref_src, ref_mean, ref_var, ref_beta, ref_gamma, epsilon, fixed_point_position); + } + + TensorType _target{}; + SimpleTensor<T> _reference{}; + int _fractional_bits{}; + DataType _data_type{}; +}; + +template <typename TensorType, typename AccessorType, typename FunctionType, typename T> +class BatchNormalizationLayerValidationFixture : public BatchNormalizationLayerValidationFixedPointFixture<TensorType, AccessorType, FunctionType, T> +{ +public: + template <typename...> + void setup(TensorShape shape0, TensorShape shape1, float epsilon, DataType dt) + { + BatchNormalizationLayerValidationFixedPointFixture<TensorType, AccessorType, FunctionType, T>::setup(shape0, shape1, epsilon, dt, 0); + } +}; +} // namespace validation +} // namespace test +} // namespace arm_compute +#endif /* ARM_COMPUTE_TEST_BATCH_NORMALIZATION_LAYER_FIXTURE */ |