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Diffstat (limited to 'runtime/onert/backend/cpu/kernel/OneHotLayer.cc')
-rw-r--r-- | runtime/onert/backend/cpu/kernel/OneHotLayer.cc | 70 |
1 files changed, 70 insertions, 0 deletions
diff --git a/runtime/onert/backend/cpu/kernel/OneHotLayer.cc b/runtime/onert/backend/cpu/kernel/OneHotLayer.cc new file mode 100644 index 000000000..fd2c1b795 --- /dev/null +++ b/runtime/onert/backend/cpu/kernel/OneHotLayer.cc @@ -0,0 +1,70 @@ +/* + * 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 "OneHotLayer.h" + +#include "OperationUtils.h" + +#include <cker/operation/OneHot.h> + +namespace onert +{ +namespace backend +{ +namespace cpu +{ +namespace kernel +{ + +void OneHotLayer::oneHotFloat32() +{ + nnfw::cker::OneHot<float, int32_t>( + _depth, _on_value, _off_value, _axis, convertTensorToCkerShape(_indices), + reinterpret_cast<const int32_t *>(_indices->buffer()), convertTensorToCkerShape(_output), + reinterpret_cast<float *>(_output->buffer())); +} + +void OneHotLayer::oneHotQuant8() { throw std::runtime_error{"OneHot NYI for quantized"}; } + +void OneHotLayer::configure(const operand::Tensor *indices, operand::Tensor *output, int32_t depth, + float on_value, float off_value, int32_t axis) +{ + _indices = indices; + _output = output; + _depth = depth; + _on_value = on_value; + _off_value = off_value; + _axis = axis; + if (_axis == -1) + _axis = _indices->num_dimensions(); +} + +void OneHotLayer::run() +{ + if (_output->data_type() == OperandType::FLOAT32) + { + oneHotFloat32(); + } + else if (_output->data_type() == OperandType::QUANT8_ASYMM) + { + oneHotQuant8(); + } +} + +} // namespace kernel +} // namespace cpu +} // namespace backend +} // namespace onert |