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/*
* Copyright (c) 2019 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 "ConstantInitializer.h"
#include "kernel/OperationUtils.h"
namespace
{
template <typename T>
static void
PermuteKernel(const neurun::model::Operand &model_obj, neurun::backend::operand::IObject &obj,
const neurun::model::Layout frontend_layout = neurun::model::Layout::UNKNOWN)
{
const auto shape = model_obj.shape();
auto base = reinterpret_cast<const T *>(model_obj.data().base());
assert(shape.rank() == 4);
// TODO Support frontend layout
UNUSED_RELEASE(frontend_layout);
obj.access([&](::neurun::backend::operand::ITensor &tensor) {
// NOTE The srcn takes a HWOI layout as kernel filter even though image layout is NHWC.
// This policy is the same with the tensorflow policy.
// So using srcn library, we need to change kernel layout to HWOI from OHWI.
const int32_t outch = shape.dim(0);
const int32_t height = shape.dim(1);
const int32_t width = shape.dim(2);
const int32_t inch = shape.dim(3);
const auto to_dim = ::neurun::backend::srcn::kernel::convertCoordinates(
{outch, height, width, inch}, ::neurun::backend::srcn::kernel::FilterLayout::OHWI,
::neurun::backend::srcn::kernel::FilterLayout::HWOI);
for (auto i = 0; i < outch; ++i)
{
for (auto j = 0; j < height; ++j)
{
for (auto k = 0; k < width; ++k)
{
for (auto l = 0; l < inch; ++l)
{
const auto coords = ::neurun::backend::srcn::kernel::convertCoordinates(
{i, j, k, l}, ::neurun::backend::srcn::kernel::FilterLayout::OHWI,
::neurun::backend::srcn::kernel::FilterLayout::HWOI);
const size_t offset = coords[0] * to_dim[1] * to_dim[2] * to_dim[3] +
coords[1] * to_dim[2] * to_dim[3] + coords[2] * to_dim[3] +
coords[3];
T *into = reinterpret_cast<T *>(tensor.buffer() + offset * sizeof(T));
T value = *(base + i * height * width * inch + j * width * inch + k * inch + l);
*into = value;
}
}
}
}
});
}
}
namespace neurun
{
namespace backend
{
namespace srcn
{
ConstantInitializer::ConstantInitializer(const model::Operands &operands,
const std::shared_ptr<TensorBuilder> &tensor_builder)
: _operands{operands}, _tensor_builder{tensor_builder}
{
// DO NOTHING
}
void ConstantInitializer::run()
{
for (const auto &it : _init_map)
{
const auto &ind = it.first;
const auto &fn = it.second;
const auto &model_obj = _operands.at(ind);
auto tensor_obj = _tensor_builder->wrapTensor(ind);
fn(model_obj, *tensor_obj);
}
_init_map.clear();
}
void ConstantInitializer::registerPermuteKernelInitializer(const model::OperandIndex &index,
const model::Operand &obj)
{
// For only CONSTANTS
if (!obj.isConstant())
return;
VERBOSE(FillOperandData) << "[SRCN] Fill data for operand " << index.value() << std::endl;
const auto type = obj.typeInfo().type();
using neurun::model::DataType;
using namespace std::placeholders;
switch (type)
{
case DataType::FLOAT32:
_init_map[index] = std::bind(PermuteKernel<float>, _1, _2, _current_subg_layout);
break;
case DataType::INT32:
_init_map[index] = std::bind(PermuteKernel<int32_t>, _1, _2, _current_subg_layout);
break;
case DataType::UINT32:
_init_map[index] = std::bind(PermuteKernel<uint32_t>, _1, _2, _current_subg_layout);
break;
case DataType::BOOL8:
case DataType::QUANT8_ASYMM:
_init_map[index] = std::bind(PermuteKernel<uint8_t>, _1, _2, _current_subg_layout);
break;
default:
throw std::runtime_error("Not supported, yet");
break;
}
}
void ConstantInitializer::visit(const model::operation::TransposeConvNode &node)
{
const auto &kernel_index = node.getInputs().at(model::operation::TransposeConvNode::KERNEL);
const auto &kernel_obj = _operands.at(kernel_index);
registerPermuteKernelInitializer(kernel_index, kernel_obj);
}
} // namespace srcn
} // namespace backend
} // namespace neurun
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