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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 "passes/transformations/LowerConv2D.h"
#include "mir/ops/Conv2DOp.h"
#include "mir/ops/DepthwiseConv2DOp.h"
#include "mir/ops/TransposeOp.h"
namespace nnc
{
static void lowerConv2D(mir::Graph *graph, mir::ops::Conv2DOp *op)
{
mir::Operation::Output *input = op->getInput(0);
mir::Operation::Output *kernel = op->getInput(1);
const std::int32_t in_group_size = kernel->getShape().dim(3);
const std::int32_t out_group_size = kernel->getShape().dim(0) / op->getNumGroups();
if (in_group_size == 1 && out_group_size == 1)
{
// [O, H, W, I / M] == [M, H, W, 1] -> [H, W, M, 1]
std::vector<std::size_t> perm{1, 2, 0, 3};
mir::Operation::Output *new_kernel =
graph->create<mir::ops::TransposeOp>(kernel, perm)->getOutput(0);
mir::Conv2DOpAttributes attributes = op->getAttributes();
attributes.num_groups = 1;
mir::Operation::Output *new_result =
graph->create<mir::ops::DepthwiseConv2DOp>(input, new_kernel, attributes)->getOutput(0);
graph->replaceNode(op, new_result->getNode());
}
}
LowerConv2D::LowerConv2D() = default;
PassData LowerConv2D::run(PassData data)
{
auto *graph = static_cast<mir::Graph *>(data);
// Collect candidate ops before actual transformation because the graph will be changed.
std::vector<mir::ops::Conv2DOp *> group_conv_ops;
for (mir::Operation *op : graph->getNodes())
{
auto *conv_op = dynamic_cast<mir::ops::Conv2DOp *>(op);
if (conv_op != nullptr && conv_op->getNumGroups() != 1)
{
group_conv_ops.push_back(conv_op);
}
}
for (mir::ops::Conv2DOp *op : group_conv_ops)
{
lowerConv2D(graph, op);
}
return graph;
}
void LowerConv2D::cleanup() {}
} // namespace nnc
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