diff options
Diffstat (limited to 'tests/validation/CPP')
-rw-r--r-- | tests/validation/CPP/BatchNormalizationLayer.cpp | 125 | ||||
-rw-r--r-- | tests/validation/CPP/BatchNormalizationLayer.h | 49 |
2 files changed, 174 insertions, 0 deletions
diff --git a/tests/validation/CPP/BatchNormalizationLayer.cpp b/tests/validation/CPP/BatchNormalizationLayer.cpp new file mode 100644 index 0000000000..37e2d55bf1 --- /dev/null +++ b/tests/validation/CPP/BatchNormalizationLayer.cpp @@ -0,0 +1,125 @@ +/* + * 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. + */ +#include "BatchNormalizationLayer.h" + +#include "tests/validation/FixedPoint.h" +#include "tests/validation/Helpers.h" + +namespace arm_compute +{ +namespace test +{ +namespace validation +{ +namespace reference +{ +// Batch Normalization Layer for fixed point type +template <typename T, typename std::enable_if<std::is_integral<T>::value, int>::type *> +SimpleTensor<T> batch_normalization_layer(const SimpleTensor<T> &src, const SimpleTensor<T> &mean, const SimpleTensor<T> &var, const SimpleTensor<T> &beta, const SimpleTensor<T> &gamma, float epsilon, + int fixed_point_position) +{ + SimpleTensor<T> result(src.shape(), src.data_type()); + + const auto cols = static_cast<int>(src.shape()[0]); + const auto rows = static_cast<int>(src.shape()[1]); + const auto depth = static_cast<int>(src.shape()[2]); + int upper_dims = src.shape().total_size() / (cols * rows * depth); + + for(int r = 0; r < upper_dims; ++r) + { + for(int i = 0; i < depth; ++i) + { + for(int k = 0; k < rows; ++k) + { + for(int l = 0; l < cols; ++l) + { + const int pos = l + k * cols + i * rows * cols + r * cols * rows * depth; + + fixed_point_arithmetic::fixed_point<T> src_qs(src[pos], fixed_point_position, true); + fixed_point_arithmetic::fixed_point<T> var_qs(var[i], fixed_point_position, true); + fixed_point_arithmetic::fixed_point<T> mean_qs(mean[i], fixed_point_position, true); + fixed_point_arithmetic::fixed_point<T> beta_qs(beta[i], fixed_point_position, true); + fixed_point_arithmetic::fixed_point<T> gamma_qs(gamma[i], fixed_point_position, true); + fixed_point_arithmetic::fixed_point<T> epsilon_qs(epsilon, fixed_point_position); + + auto denominator = fixed_point_arithmetic::inv_sqrt(var_qs + epsilon_qs); + auto numerator = src_qs - mean_qs; + auto x_bar = numerator * denominator; + x_bar = beta_qs + x_bar * gamma_qs; + result[pos] = x_bar.raw(); + } + } + } + } + + return result; +} + +// Batch Normalization Layer for floating point type +template <typename T, typename std::enable_if<is_floating_point<T>::value, int>::type *> +SimpleTensor<T> batch_normalization_layer(const SimpleTensor<T> &src, const SimpleTensor<T> &mean, const SimpleTensor<T> &var, const SimpleTensor<T> &beta, const SimpleTensor<T> &gamma, float epsilon, + int fixed_point_position) +{ + ARM_COMPUTE_UNUSED(fixed_point_position); + + SimpleTensor<T> result(src.shape(), src.data_type()); + + const auto cols = static_cast<int>(src.shape()[0]); + const auto rows = static_cast<int>(src.shape()[1]); + const auto depth = static_cast<int>(src.shape()[2]); + int upper_dims = src.shape().total_size() / (cols * rows * depth); + + for(int r = 0; r < upper_dims; ++r) + { + for(int i = 0; i < depth; ++i) + { + for(int k = 0; k < rows; ++k) + { + for(int l = 0; l < cols; ++l) + { + const int pos = l + k * cols + i * rows * cols + r * cols * rows * depth; + const float denominator = sqrt(var[i] + epsilon); + const float numerator = src[pos] - mean[i]; + const float x_bar = numerator / denominator; + result[pos] = beta[i] + x_bar * gamma[i]; + } + } + } + } + return result; +} +template SimpleTensor<float> batch_normalization_layer(const SimpleTensor<float> &src, const SimpleTensor<float> &mean, const SimpleTensor<float> &var, const SimpleTensor<float> &beta, + const SimpleTensor<float> &gamma, float epsilon, int fixed_point_position); +template SimpleTensor<int8_t> batch_normalization_layer(const SimpleTensor<int8_t> &src, const SimpleTensor<int8_t> &mean, const SimpleTensor<int8_t> &var, const SimpleTensor<int8_t> &beta, + const SimpleTensor<int8_t> &gamma, float epsilon, int fixed_point_position); +template SimpleTensor<int16_t> batch_normalization_layer(const SimpleTensor<int16_t> &src, const SimpleTensor<int16_t> &mean, const SimpleTensor<int16_t> &var, const SimpleTensor<int16_t> &beta, + const SimpleTensor<int16_t> &gamma, float epsilon, int fixed_point_position); +template SimpleTensor<half> batch_normalization_layer(const SimpleTensor<half> &src, const SimpleTensor<half> &mean, const SimpleTensor<half> &var, + const SimpleTensor<half> &beta, + const SimpleTensor<half> &gamma, float epsilon, int fixed_point_position); + +} // namespace reference +} // namespace validation +} // namespace test +} // namespace arm_compute diff --git a/tests/validation/CPP/BatchNormalizationLayer.h b/tests/validation/CPP/BatchNormalizationLayer.h new file mode 100644 index 0000000000..1a554adf7e --- /dev/null +++ b/tests/validation/CPP/BatchNormalizationLayer.h @@ -0,0 +1,49 @@ +/* + * 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_H__ +#define __ARM_COMPUTE_TEST_BATCH_NORMALIZATION_LAYER_H__ + +#include "tests/SimpleTensor.h" +#include "tests/validation/Helpers.h" + +namespace arm_compute +{ +namespace test +{ +namespace validation +{ +namespace reference +{ +template <typename T, typename std::enable_if<std::is_integral<T>::value, int>::type * = nullptr> +SimpleTensor<T> batch_normalization_layer(const SimpleTensor<T> &src, const SimpleTensor<T> &mean, const SimpleTensor<T> &var, const SimpleTensor<T> &beta, const SimpleTensor<T> &gamma, float epsilon, + int fixed_point_position); + +template <typename T, typename std::enable_if<is_floating_point<T>::value, int>::type * = nullptr> +SimpleTensor<T> batch_normalization_layer(const SimpleTensor<T> &src, const SimpleTensor<T> &mean, const SimpleTensor<T> &var, const SimpleTensor<T> &beta, const SimpleTensor<T> &gamma, float epsilon, + int fixed_point_position); +} // namespace reference +} // namespace validation +} // namespace test +} // namespace arm_compute +#endif /* __ARM_COMPUTE_TEST_BATCH_NORMALIZATION_LAYER_H__ */ |