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Diffstat (limited to 'runtime/neurun/core/src/exec/Source.h')
| -rw-r--r-- | runtime/neurun/core/src/exec/Source.h | 211 |
1 files changed, 0 insertions, 211 deletions
diff --git a/runtime/neurun/core/src/exec/Source.h b/runtime/neurun/core/src/exec/Source.h deleted file mode 100644 index fd52dd546..000000000 --- a/runtime/neurun/core/src/exec/Source.h +++ /dev/null @@ -1,211 +0,0 @@ -/* - * Copyright (c) 2018 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. - */ - -#ifndef __NEURUN_EXEC_SOURCE_H__ -#define __NEURUN_EXEC_SOURCE_H__ - -#include <cassert> - -#include "cpp14/memory.h" -#include "util/feature/nchw/Reader.h" -#include "util/feature/nchw/View.h" -#include "util/feature/nhwc/Reader.h" -#include "util/feature/nhwc/View.h" -#include "util/Utils.h" -#include <misc/feature/IndexIterator.h> -#include <ir/Layout.h> -#include "ir/Shape.h" - -namespace neurun -{ -namespace exec -{ - -struct ISource -{ - virtual ~ISource() = default; - - virtual void push(::neurun::backend::operand::ITensor &tensor) const = 0; -}; - -// Create second lever inheritance: the first lever is used as a reference type in use-case places -template <typename T> class ITemplSource : public ISource -{ -public: - ITemplSource(const void *input_buffer, const size_t &input_size, const ir::Shape &shape, - const bool copy, ir::Layout io_layout) - : _input_buffer{reinterpret_cast<const T *>(input_buffer)}, _input_size{input_size}, - _shape{shape}, _copy(copy), _io_layout{io_layout} - { - } - - virtual void push(::neurun::backend::operand::ITensor &tensor) const = 0; - -protected: - void pushUnif(neurun::backend::operand::ITensor &tensor) const - { - assert(((_io_layout == ir::Layout::NHWC && tensor.layout() == ir::Layout::NCHW) || - (_io_layout == ir::Layout::NCHW && tensor.layout() == ir::Layout::NHWC)) || - _copy); - auto output_buffer = tensor.buffer(); - auto rank = _shape.rank(); - - if (!tensor.has_padding() && rank < 4 + _copy) - { - memcpy(output_buffer, _input_buffer, _input_size); - return; - } - - switch (rank) - { - case 0: - case 1: - { - memcpy(output_buffer, _input_buffer, _input_size); - break; - } - case 2: - { - const int32_t copy_len = _shape.dim(1); - - for (auto i = 0; i < _shape.dim(0); ++i) - { - neurun::util::Coordinates coords{i, 0}; - memcpy(output_buffer + tensor.calcOffset(coords), _input_buffer + i * copy_len, - copy_len * sizeof(T)); - } - break; - } - case 3: - { - const int32_t dim1 = _shape.dim(1); - const int32_t dim2 = _shape.dim(2); - - for (auto i = 0; i < _shape.dim(0); ++i) - { - for (auto j = 0; j < _shape.dim(1); ++j) - { - neurun::util::Coordinates coords{i, j, 0}; - memcpy(output_buffer + tensor.calcOffset(coords), - _input_buffer + i * dim1 * dim2 + j * dim2, dim2 * sizeof(T)); - } - } - break; - } - case 4: - { - if (_copy) - { - const int32_t dim1 = _shape.dim(1); - const int32_t dim2 = _shape.dim(2); - const int32_t dim3 = _shape.dim(3); - for (auto i = 0; i < _shape.dim(0); ++i) - { - for (auto j = 0; j < _shape.dim(1); ++j) - { - for (auto k = 0; k < _shape.dim(2); ++k) - { - neurun::util::Coordinates coords{i, j, k, 0}; - memcpy(output_buffer + tensor.calcOffset(coords), - _input_buffer + i * dim1 * dim2 * dim3 + j * dim2 * dim3 + k * dim3, - dim3 * sizeof(T)); - } - } - } - } - else - { - const auto shape = _shape.asFeature(_io_layout); - - if (_io_layout == ir::Layout::NCHW) - { - const util::feature::nchw::Reader<T> from(shape, _input_buffer, _input_size); - util::feature::nhwc::View<T> into(&tensor); - ::nnfw::misc::feature::iterate(shape) - << [&](uint32_t batch, uint32_t ch, uint32_t row, uint32_t col) { - const auto value = from.at(batch, ch, row, col); - into.at(batch, row, col, ch) = value; - }; - } - else if (_io_layout == ir::Layout::NHWC) - { - const util::feature::nhwc::Reader<T> from(shape, _input_buffer, _input_size); - util::feature::nchw::View<T> into(&tensor); - ::nnfw::misc::feature::iterate(shape) - << [&](uint32_t batch, uint32_t ch, uint32_t row, uint32_t col) { - const auto value = from.at(batch, row, col, ch); - into.at(batch, ch, row, col) = value; - }; - } - else - { - throw std::runtime_error("Wrong Layout"); - } - } - - break; - } - default: - throw std::runtime_error("NYI"); - break; - } - } - -private: - const T *_input_buffer; - const size_t _input_size; - const ir::Shape _shape; - const bool _copy; - const ir::Layout _io_layout; -}; - -template <typename T> class PermutateSource final : public ITemplSource<T> -{ -public: - PermutateSource(const void *input_buffer, const size_t &input_size, const ir::Shape &shape, - ir::Layout io_layout) - : ITemplSource<T>(input_buffer, input_size, shape, false, io_layout) - { - } - -public: - void push(neurun::backend::operand::ITensor &tensor) const override - { - // do NHWC_TO_NCHW or NCHW_TO_NHWC permutation - ITemplSource<T>::pushUnif(tensor); - } -}; - -template <typename T> class CopySource final : public ITemplSource<T> -{ -public: - CopySource(const void *input_buffer, const size_t &input_size, const ir::Shape &shape, - ir::Layout io_layout = ir::Layout::UNKNOWN) - : ITemplSource<T>(input_buffer, input_size, shape, true, io_layout) - { - } - -public: - void push(neurun::backend::operand::ITensor &tensor) const override - { - ITemplSource<T>::pushUnif(tensor); - } -}; - -} // namespace exec -} // namespace neurun - -#endif // __NEURUN_EXEC_SOURCE_H__ |