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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 "PadCanonicalizer.h"
#include <moco/IR/TFDialect.h>
#include "loco/Service/TypeInference.h"
#include <stdex/Memory.h>
namespace
{
bool canonicalize_pad(loco::Graph *graph, moco::TFPad *node)
{
/**
* @note This will replace TFPad node with Canonical TensorConstantPad
*
* Before
* input --- TFPad -- C
* paddings --/
* After
* paddings ------- TFPad --
* /
* input ----------- TensorConstantPad -- C
* ConstGen --------/
* Where
* input : input of TFPad
* paddings : paddings of TFPad. it becomes TensorConstantPad's attribute.
* C : a node that uses TFPad as an input. TFPad is disconnected from C.
* ConstGen : constant value of Pad. TFPad has zero value by default.
*/
auto pad_node = graph->nodes()->create<loco::TensorConstantPad>();
auto constant_node = graph->nodes()->create<loco::ConstGen>();
auto input_node = node->input();
// TODO: support other dtype.
assert(loco::dtype_get(input_node) == loco::DataType::FLOAT32);
constant_node->dtype(loco::DataType::FLOAT32);
// TODO: constant node changes to scalar when it is implemented.
constant_node->shape({1});
constant_node->size<loco::DataType::FLOAT32>(1);
constant_node->at<loco::DataType::FLOAT32>(0) = 0.0f;
auto const_paddings_node = dynamic_cast<loco::ConstGen *>(node->paddings());
// TODO: support S64 type.
assert(const_paddings_node->dtype() == loco::DataType::S32);
assert(const_paddings_node->rank() == 2);
assert(const_paddings_node->dim(1).value() == 2);
auto padding = pad_node->padding();
uint32_t padding_rank = const_paddings_node->dim(0).value();
padding->rank(padding_rank);
for (uint32_t i = 0; i < padding_rank; i++)
{
padding->front(i) = const_paddings_node->at<loco::DataType::S32>(i << 1);
padding->back(i) = const_paddings_node->at<loco::DataType::S32>((i << 1) + 1);
}
// update connections
pad_node->input(input_node);
pad_node->constant(constant_node);
// replace node
replace(node).with(pad_node);
return true;
}
} // namespace
namespace moco
{
namespace tf
{
bool PadCanonicalizer::transform(TFPad *node) const
{
return canonicalize_pad(node->graph(), node);
}
} // namespace tf
} // namespace moco
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