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/*
* Copyright (c) 2021 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 "luci/Pass/FuseBatchNormWithConvPass.h"
#include <luci/IR/CircleNodes.h>
#include <luci/Profile/CircleNodeOrigin.h>
namespace
{
/**
* Fuse Mul-Add to Conv2D if possible.
*
* NOTE TF's BatchNormalization is converted to Mul and Add.
*
* BEFORE
* | [CircleConst]
* | / [CircleConst]
* | / /
* [CircleConv2D] [CircleConst]
* | /
* [CircleMul] [CircleConst]
* | /
* [CircleAdd]
* |
*
* AFTER
* | [CircleConst]
* +--------------+ / [CircleConst]
* | | / /
* | [CircleConv2D] [CircleConst]
* [CircleConst] | | /
* [CircleConst] \ | [CircleMul] [CircleConst]
* \ \ | | /
* [CircleConv2D] [CircleAdd]
* |
*/
bool fused_batch_norm_with_conv(luci::CircleAdd *add)
{
luci::CircleMul *mul = nullptr;
luci::CircleConst *shift = nullptr;
if (auto add_lhs = dynamic_cast<luci::CircleMul *>(add->x()))
{
mul = add_lhs;
shift = dynamic_cast<luci::CircleConst *>(add->y());
}
else if (auto add_rhs = dynamic_cast<luci::CircleMul *>(add->y()))
{
mul = add_rhs;
shift = dynamic_cast<luci::CircleConst *>(add->x());
}
// If CircleMul is not found or constant operand of CircleAdd is not found,
// this pass cannot be applied.
if (mul == nullptr || shift == nullptr)
return false;
// If FusedActivationFunction of mul is not none, this pass cannot be applied.
if (mul->fusedActivationFunction() != luci::FusedActFunc::NONE)
return false;
// To apply this pass, shape of shift should be [1, 1, 1, out_channel].
if (shift->rank() != 4)
return false;
for (uint32_t i = 0; i < 3; ++i)
if (shift->dim(i).value() != 1)
return false;
luci::CircleConv2D *conv = nullptr;
luci::CircleConst *scale = nullptr;
if (auto mul_lhs = dynamic_cast<luci::CircleConv2D *>(mul->x()))
{
conv = mul_lhs;
scale = dynamic_cast<luci::CircleConst *>(mul->y());
}
else if (auto mul_rhs = dynamic_cast<luci::CircleConv2D *>(mul->y()))
{
conv = mul_rhs;
scale = dynamic_cast<luci::CircleConst *>(mul->x());
}
// If CircleConv2D is not found or constant operand of CircleMul is not found,
// this pass cannot be applied.
if (conv == nullptr || scale == nullptr)
return false;
// To apply this pass, shape of scale should be [1, 1, 1, out_channel].
if (scale->rank() != 4)
return false;
for (uint32_t i = 0; i < 3; ++i)
if (scale->dim(i).value() != 1)
return false;
// If FusedActivationFunction of conv is not none, this pass cannot be applied.
if (conv->fusedActivationFunction() != luci::FusedActFunc::NONE)
return false;
luci::CircleConst *filter = dynamic_cast<luci::CircleConst *>(conv->filter());
luci::CircleConst *bias = dynamic_cast<luci::CircleConst *>(conv->bias());
// If filter or bias of conv is not const, this pass cannot be applied.
if (filter == nullptr || bias == nullptr)
return false;
// If dtype of filter is different with scale and shift, multiplication may be impossible.
if (filter->dtype() != scale->dtype())
return false;
if (filter->dtype() != shift->dtype())
return false;
// TODO Support more data type
if (filter->dtype() != loco::DataType::FLOAT32)
return false;
// Output channel dimension should be same. If not, this pass cannot be applied.
if (filter->dim(0).value() != scale->dim(3).value())
return false;
if (filter->dim(0).value() != shift->dim(3).value())
return false;
auto name = add->name();
assert(name.length() > 0);
luci::CircleConv2D *fused_conv = add->graph()->nodes()->create<luci::CircleConv2D>();
luci::CircleConst *fused_filter = add->graph()->nodes()->create<luci::CircleConst>();
luci::CircleConst *fused_bias = add->graph()->nodes()->create<luci::CircleConst>();
uint32_t filter_out_channel = filter->dim(0).value();
uint32_t filter_height = filter->dim(1).value();
uint32_t filter_width = filter->dim(2).value();
uint32_t filter_in_channel = filter->dim(3).value();
// Copy filter
fused_filter->dtype(filter->dtype());
fused_filter->size<loco::DataType::FLOAT32>(filter->size<loco::DataType::FLOAT32>());
fused_filter->rank(4);
fused_filter->dim(0).set(filter_out_channel);
fused_filter->dim(1).set(filter_height);
fused_filter->dim(2).set(filter_width);
fused_filter->dim(3).set(filter_in_channel);
fused_filter->shape_status(luci::ShapeStatus::VALID);
fused_filter->name(name + "/Conv2D/filter");
// Fuse scale to new filter
for (uint32_t c = 0; c < filter_out_channel; c++)
{
for (uint32_t h = 0; h < filter_height; h++)
{
for (uint32_t w = 0; w < filter_width; w++)
{
for (uint32_t b = 0; b < filter_in_channel; b++)
{
uint32_t offset = c * filter_height * filter_width * filter_in_channel +
h * filter_width * filter_in_channel + w * filter_in_channel + b;
fused_filter->at<loco::DataType::FLOAT32>(offset) =
filter->at<loco::DataType::FLOAT32>(offset) * scale->at<loco::DataType::FLOAT32>(c);
}
}
}
}
// Copy bias
assert(bias->rank() == 1);
assert(bias->dim(0).value() == filter_out_channel);
fused_bias->dtype(bias->dtype());
fused_bias->size<loco::DataType::FLOAT32>(bias->size<loco::DataType::FLOAT32>());
fused_bias->rank(1);
fused_bias->dim(0).set(filter_out_channel);
fused_bias->shape_status(luci::ShapeStatus::VALID);
fused_bias->name(name + "/Conv2D/bias");
// Fuse scale and shift to bias
for (uint32_t b = 0; b < filter_out_channel; ++b)
{
fused_bias->at<loco::DataType::FLOAT32>(b) =
bias->at<loco::DataType::FLOAT32>(b) * scale->at<loco::DataType::FLOAT32>(b) +
shift->at<loco::DataType::FLOAT32>(b);
}
// Set attributes of fused_conv
fused_conv->input(conv->input());
fused_conv->filter(fused_filter);
fused_conv->bias(fused_bias);
fused_conv->fusedActivationFunction(add->fusedActivationFunction());
fused_conv->padding(conv->padding());
fused_conv->stride()->h(conv->stride()->h());
fused_conv->stride()->w(conv->stride()->w());
fused_conv->dilation()->h(conv->dilation()->h());
fused_conv->dilation()->w(conv->dilation()->w());
fused_conv->name(name + "/Conv2D");
luci::add_origin(fused_conv, luci::composite_origin({luci::get_origin(add), luci::get_origin(mul),
luci::get_origin(conv)}));
replace(add).with(fused_conv);
return true;
}
} // namespace
namespace luci
{
bool FuseBatchNormWithConvPass::run(loco::Graph *g)
{
bool changed = false;
for (auto node : loco::active_nodes(loco::output_nodes(g)))
{
if (auto add = dynamic_cast<luci::CircleAdd *>(node))
{
if (fused_batch_norm_with_conv(add))
changed = true;
}
}
return changed;
}
} // namespace luci
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