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Diffstat (limited to 'tests/validation/reference/QLSTMLayerNormalization.cpp')
-rw-r--r-- | tests/validation/reference/QLSTMLayerNormalization.cpp | 91 |
1 files changed, 91 insertions, 0 deletions
diff --git a/tests/validation/reference/QLSTMLayerNormalization.cpp b/tests/validation/reference/QLSTMLayerNormalization.cpp new file mode 100644 index 0000000000..6764a81617 --- /dev/null +++ b/tests/validation/reference/QLSTMLayerNormalization.cpp @@ -0,0 +1,91 @@ +/* + * Copyright (c) 2020 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 "QLSTMLayerNormalization.h" +#include "ArithmeticOperations.h" +#include "MeanStdDevNormalizationLayer.h" +#include "PixelWiseMultiplication.h" +#include "src/core/utils/quantization/AsymmHelpers.cpp" + +namespace arm_compute +{ +namespace test +{ +namespace validation +{ +namespace reference +{ +SimpleTensor<float> qlstm_layer_normalization_float_compute(SimpleTensor<float> src, SimpleTensor<float> weight, SimpleTensor<float> bias) +{ + SimpleTensor<float> output = mean_std_normalization_layer(src); + output = pixel_wise_multiplication(output, weight, 1, ConvertPolicy::SATURATE, RoundingPolicy::TO_ZERO); + return arithmetic_operation(ArithmeticOperation::ADD, output, bias, DataType::F32, ConvertPolicy::SATURATE); +} + +SimpleTensor<int16_t> qlstm_layer_normalization(const SimpleTensor<int16_t> &src, const SimpleTensor<int16_t> &weight, const SimpleTensor<int32_t> &bias) +{ + ARM_COMPUTE_ERROR_ON(src.shape().num_dimensions() > 2); + + SimpleTensor<float> converted_src{ src.shape(), DataType::F32 }; + SimpleTensor<float> converted_weight{ weight.shape(), DataType::F32 }; + SimpleTensor<float> converted_bias{ bias.shape(), DataType::F32 }; + + const auto iq_info = src.quantization_info().uniform(); + int output_multiplier{}; + int output_shift{}; + quantization::calculate_quantized_multiplier(iq_info.scale, &output_multiplier, &output_shift); + + const float layer_norm_scale = output_multiplier * std::pow(2, static_cast<double>(output_shift - 31)); + const float bias_scale = std::pow(2., -10) * layer_norm_scale; + + for(int i = 0; i < src.num_elements(); i++) + { + converted_src[i] = static_cast<float>(src[i]); + } + + for(int i = 0; i < bias.num_elements(); i++) + { + converted_bias[i] = static_cast<float>(bias[i]) * bias_scale; + } + + for(int i = 0; i < weight.num_elements(); i++) + { + converted_weight[i] = weight[i] * layer_norm_scale; + } + + SimpleTensor<float> output_float = qlstm_layer_normalization_float_compute(converted_src, converted_weight, converted_bias); + SimpleTensor<int16_t> output{ output_float.shape(), DataType::QSYMM16 }; + + for(int i = 0; i < output.num_elements(); i++) + { + const auto output_val_s32 = static_cast<int32_t>(std::round(output_float[i] * std::pow(2, 12))); + output[i] = utility::clamp<int32_t, int16_t>(output_val_s32, std::numeric_limits<int16_t>::min()); + } + + return output; +} +} // namespace reference +} // namespace validation +} // namespace test +} // namespace arm_compute |