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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 "FoldTransposeOfConstPass.h"
#include "Check.h"
#include "Dialect/IR/TFLNodes.h"
#include "Dialect/IR/TFLNodeVisitor.h"
// TODO remove dependency to angkor
#include <nncc/core/ADT/tensor/IndexEnumerator.h>
#include <nncc/core/ADT/tensor/LexicalLayout.h>
#include <oops/InternalExn.h>
namespace
{
/**
* @brief Check if node is TFLTranspose and its input is TFLConst
* @return Casted TFLTranspose for foldable candidate, nullptr otherwise
*/
locoex::TFLTranspose *as_candidate(loco::Node *node)
{
auto transpose = dynamic_cast<locoex::TFLTranspose *>(node);
if (not transpose)
return nullptr;
// Only accept Constant input of Transpose
if (not dynamic_cast<locoex::TFLConst *>(transpose->a()))
return nullptr;
// Only accept Constant permutation of Transpose
if (not dynamic_cast<locoex::TFLConst *>(transpose->perm()))
return nullptr;
return transpose;
}
nncc::core::ADT::tensor::Shape angkor_shape(locoex::TFLConst *node)
{
nncc::core::ADT::tensor::Shape ret;
ret.resize(node->rank());
for (uint32_t axis = 0; axis < node->rank(); ++axis)
{
ret.dim(axis) = node->dim(axis).value();
}
return ret;
}
void fold_transpose_of_const(locoex::TFLTranspose *transpose)
{
const loco::DataType FLOAT32 = loco::DataType::FLOAT32;
const loco::DataType S32 = loco::DataType::S32;
auto const_orig = dynamic_cast<locoex::TFLConst *>(transpose->a());
auto perm = dynamic_cast<locoex::TFLConst *>(transpose->perm());
// Exceptions
{
EXO_ASSERT(const_orig, "Only support for Transpose-Const pair");
// TODO support other data types
if (const_orig->dtype() != FLOAT32)
INTERNAL_EXN_V("NYI for this data type", oops::to_uint32(const_orig->dtype()));
EXO_ASSERT(perm, "Only support for constant permutation for Transpose");
// TODO support other data types
if (perm->dtype() != S32)
INTERNAL_EXN_V("NYI for this data type", oops::to_uint32(perm->dtype()));
auto okay = [&]() {
if (perm->rank() != 1)
return false;
if (perm->dim(0).value() != const_orig->rank())
return false;
return true;
};
if (not okay())
INTERNAL_EXN("Input and permutation for Transpose is not congruent");
}
uint32_t rank = const_orig->rank();
// TFLConst to replace
auto const_new = transpose->graph()->nodes()->create<locoex::TFLConst>();
const_new->dtype(FLOAT32);
const_new->rank(rank);
const_new->size<FLOAT32>(const_orig->size<FLOAT32>());
for (uint32_t axis = 0; axis < rank; ++axis)
const_new->dim(axis) = const_orig->dim(perm->at<S32>(axis)).value();
// TODO remove dependency to angkor
auto shape_orig = angkor_shape(const_orig);
auto shape_new = angkor_shape(const_new);
nncc::core::ADT::tensor::LexicalLayout l;
nncc::core::ADT::tensor::IndexEnumerator e{shape_new};
for (; e.valid(); e.advance())
{
loco::TensorIndex index_new = e.current();
loco::TensorIndex index_orig;
// Set original index from matching new index
index_orig.resize(rank);
for (uint32_t axis = 0; axis < rank; ++axis)
index_orig.at(perm->at<S32>(axis)) = index_new.at(axis);
const_new->at<FLOAT32>(l.offset(shape_new, index_new)) =
const_orig->at<FLOAT32>(l.offset(shape_orig, index_orig));
}
// replace
loco::replace(transpose).with(const_new);
}
} // namespace
namespace exo
{
bool FoldTransposeOfConstPass::run(loco::Graph *g)
{
bool changed = false;
for (auto node : loco::active_nodes(loco::output_nodes(g)))
{
if (auto transpose = as_candidate(node))
{
fold_transpose_of_const(transpose);
changed = true;
}
}
return changed;
}
} // namespace exo
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