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Diffstat (limited to 'compiler/luci-interpreter/src/kernels/Softmax.cpp')
-rw-r--r-- | compiler/luci-interpreter/src/kernels/Softmax.cpp | 90 |
1 files changed, 0 insertions, 90 deletions
diff --git a/compiler/luci-interpreter/src/kernels/Softmax.cpp b/compiler/luci-interpreter/src/kernels/Softmax.cpp deleted file mode 100644 index 642c0ad75..000000000 --- a/compiler/luci-interpreter/src/kernels/Softmax.cpp +++ /dev/null @@ -1,90 +0,0 @@ -/* - * Copyright (c) 2020 Samsung Electronics Co., Ltd. All Rights Reserved - * - * Licensed under the Apache License, Version 2.0 (the "License"); - * you may not use this file except in compliance with the License. - * You may obtain a copy of the License at - * - * http://www.apache.org/licenses/LICENSE-2.0 - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, - * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. - * See the License for the specific language governing permissions and - * limitations under the License. - */ - -#include "kernels/Softmax.h" - -#include "kernels/Utils.h" - -#include <tensorflow/lite/kernels/internal/reference/softmax.h> -#include <tensorflow/lite/kernels/internal/optimized/optimized_ops.h> - -#include <stdexcept> - -namespace luci_interpreter -{ - -namespace kernels -{ - -Softmax::Softmax(const Tensor *input, Tensor *output, const SoftmaxParams ¶ms) - : KernelWithParams<SoftmaxParams>({input}, {output}, params) -{ -} - -void Softmax::configure() -{ - LUCI_INTERPRETER_CHECK(input()->element_type() == output()->element_type()); - LUCI_INTERPRETER_CHECK(input()->shape().num_dims() >= 1); - if (input()->element_type() == DataType::U8 || input()->element_type() == DataType::S8) - { - LUCI_INTERPRETER_CHECK(output()->zero_point() == 0); - tflite::SoftmaxParams op_params{}; - op_params.table = _table; - tflite::optimized_ops::PopulateSoftmaxLookupTable(&op_params, input()->scale(), params().beta); - } - output()->resize(input()->shape()); -} - -void Softmax::execute() const -{ - switch (input()->element_type()) - { - case DataType::FLOAT32: - evalFloat(); - break; - case DataType::S8: - evalQuantized<int8_t>(); - break; - case DataType::U8: - evalQuantized<uint8_t>(); - break; - default: - throw std::runtime_error("Unsupported type."); - } -} - -void Softmax::evalFloat() const -{ - tflite::SoftmaxParams op_params{}; - op_params.beta = params().beta; - - tflite::reference_ops::Softmax(op_params, getTensorShape(input()), getTensorData<float>(input()), - getTensorShape(output()), getTensorData<float>(output())); -} - -template <typename T> void Softmax::evalQuantized() const -{ - tflite::SoftmaxParams op_params{}; - op_params.table = const_cast<float *>(_table); - op_params.zero_point = output()->zero_point(); - op_params.scale = output()->scale(); - - tflite::optimized_ops::Softmax(op_params, getTensorShape(input()), getTensorData<T>(input()), - getTensorShape(output()), getTensorData<T>(output())); -} - -} // namespace kernels -} // namespace luci_interpreter |