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author | Chunseok Lee <chunseok.lee@samsung.com> | 2020-07-30 11:32:26 +0900 |
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committer | Chunseok Lee <chunseok.lee@samsung.com> | 2020-07-30 11:32:26 +0900 |
commit | 05e0ec30a632339a8533082476f27bda31ccde16 (patch) | |
tree | 5f220ac83084fe133ffb08a6a17e99f9bb36ec1c /runtime/onert/backend/cpu/ops/SpaceToBatchNDLayer.cc | |
parent | e2ef8438a24f7c56a0744eb579a6e293ee2fbf8e (diff) | |
download | nnfw-05e0ec30a632339a8533082476f27bda31ccde16.tar.gz nnfw-05e0ec30a632339a8533082476f27bda31ccde16.tar.bz2 nnfw-05e0ec30a632339a8533082476f27bda31ccde16.zip |
Imported Upstream version 1.7.0upstream/1.7.0
Diffstat (limited to 'runtime/onert/backend/cpu/ops/SpaceToBatchNDLayer.cc')
-rw-r--r-- | runtime/onert/backend/cpu/ops/SpaceToBatchNDLayer.cc | 114 |
1 files changed, 114 insertions, 0 deletions
diff --git a/runtime/onert/backend/cpu/ops/SpaceToBatchNDLayer.cc b/runtime/onert/backend/cpu/ops/SpaceToBatchNDLayer.cc new file mode 100644 index 000000000..896e262ba --- /dev/null +++ b/runtime/onert/backend/cpu/ops/SpaceToBatchNDLayer.cc @@ -0,0 +1,114 @@ +/* + * 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 "SpaceToBatchNDLayer.h" + +#include "OperationUtils.h" + +#include <cker/operation/SpaceToBatchND.h> + +namespace onert +{ +namespace backend +{ +namespace cpu +{ +namespace ops +{ +SpaceToBatchNDLayer::SpaceToBatchNDLayer() + : _input(nullptr), _block_shape(nullptr), _padding(nullptr), _output(nullptr) +{ + // DO NOTHING +} + +// TO DO : move into shape inferer +void SpaceToBatchNDLayer::checkDimension() +{ + const int kSpatialDimensionNum = 2; + if (_block_shape->dimension(0) != kSpatialDimensionNum) + { + throw std::runtime_error("SpaceToBatchND : block_shape(block_size) tensor's rank is wrong\n"); + } + + // Ensures the input height and width (with padding) is a multiple of block + // shape height and width. + for (int dim = 0; dim < kSpatialDimensionNum; ++dim) + { + int final_dim_size = + (_input->dimension(dim + 1) + reinterpret_cast<int32_t *>(_padding->buffer())[dim * 2] + + reinterpret_cast<int32_t *>(_padding->buffer())[dim * 2 + 1]); + + if (final_dim_size % reinterpret_cast<int32_t *>(_block_shape->buffer())[dim] != 0) + { + throw std::runtime_error( + "SpaceToBatchND : padded input's dimension is not a multiple of block size\n"); + } + + if ((int32_t)_output->dimension(dim + 1) != + final_dim_size / reinterpret_cast<int32_t *>(_block_shape->buffer())[dim]) + { + throw std::runtime_error("SpaceToBatchND : wrong output dimension\n"); + } + } +} + +template <> uint32_t SpaceToBatchNDLayer::getPad<float>() { return 0; } +template <> uint32_t SpaceToBatchNDLayer::getPad<uint8_t>() { return _output->data_offset(); } + +template <typename T> void SpaceToBatchNDLayer::spaceToBatchND() +{ + checkDimension(); + + nnfw::cker::SpaceToBatchParams params; + params.output_offset = getPad<T>(); + + nnfw::cker::SpaceToBatchND( + params, getTensorShape(_input), reinterpret_cast<const T *>(_input->buffer()), + getTensorShape(_block_shape), reinterpret_cast<const int32_t *>(_block_shape->buffer()), + getTensorShape(_padding), reinterpret_cast<const int32_t *>(_padding->buffer()), + getTensorShape(_output), reinterpret_cast<T *>(_output->buffer())); +} + +void SpaceToBatchNDLayer::configure(const IPortableTensor *input, + const IPortableTensor *block_shape, + const IPortableTensor *padding, IPortableTensor *output) +{ + _input = input; + _block_shape = block_shape; + _padding = padding; + _output = output; +} + +void SpaceToBatchNDLayer::run() +{ + if (_input->data_type() == OperandType::FLOAT32) + { + spaceToBatchND<float>(); + } + else if (_input->data_type() == OperandType::QUANT_UINT8_ASYMM) + { + spaceToBatchND<uint8_t>(); + } + else + { + throw std::runtime_error{"SpaceToBatchND: unsupported data type"}; + } +} + +} // namespace ops +} // namespace cpu +} // namespace backend +} // namespace onert |