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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 "moco/Service/TFTypeInferenceRule.h"
#include "moco/IR/TFDialect.h"
#include "moco/IR/TFNodeVisitor.h"
#include "moco/IR/TFNodes.h"
#include "moco/IR/TFNodeImpl.h"
#include <cassert>
namespace
{
using namespace moco;
struct TypeForwardAlgorithm final : public moco::TFNodeVisitor<loco::DataType>
{
loco::DataType visit(const TFAdd *node) { return dtype_get(node->x()); }
loco::DataType visit(const TFAvgPool *node) { return dtype_get(node->value()); }
loco::DataType visit(const TFBiasAdd *node) { return dtype_get(node->value()); }
loco::DataType visit(const TFConcatV2 *node) { return dtype_get(node->values(0)); }
loco::DataType visit(const TFConst *node) { return node->dtype(); }
loco::DataType visit(const TFConv2D *node) { return dtype_get(node->input()); }
loco::DataType visit(const TFConv2DBackpropInput *node)
{
return dtype_get(node->out_backprop());
}
loco::DataType visit(const TFDepthwiseConv2dNative *node) { return dtype_get(node->input()); }
loco::DataType visit(const TFFakeQuantWithMinMaxVars *node) { return dtype_get(node->inputs()); }
loco::DataType visit(const TFFusedBatchNorm *node) { return dtype_get(node->x()); }
loco::DataType visit(const TFIdentity *node) { return dtype_get(node->input()); }
loco::DataType visit(const TFMaximum *node) { return dtype_get(node->x()); }
loco::DataType visit(const TFMaxPool *node) { return dtype_get(node->input()); }
loco::DataType visit(const TFMean *node) { return dtype_get(node->input()); }
loco::DataType visit(const TFMul *node) { return dtype_get(node->x()); }
loco::DataType visit(const TFPack *node) { return dtype_get(node->values(0)); }
loco::DataType visit(const TFPad *node) { return dtype_get(node->input()); }
loco::DataType visit(const TFPlaceholder *node) { return node->dtype(); }
loco::DataType visit(const TFRealDiv *node) { return dtype_get(node->x()); }
loco::DataType visit(const TFRelu *node) { return dtype_get(node->features()); }
loco::DataType visit(const TFRelu6 *node) { return dtype_get(node->features()); }
loco::DataType visit(const TFReshape *node) { return dtype_get(node->tensor()); }
loco::DataType visit(const TFRsqrt *node) { return dtype_get(node->x()); }
loco::DataType visit(const TFShape *node) { return node->dtype(); }
loco::DataType visit(const TFSoftmax *node) { return dtype_get(node->logits()); }
loco::DataType visit(const TFSqrt *node) { return dtype_get(node->x()); }
loco::DataType visit(const TFSquaredDifference *node) { return dtype_get(node->x()); }
loco::DataType visit(const TFSqueeze *node) { return dtype_get(node->input()); }
loco::DataType visit(const TFStopGradient *node) { return dtype_get(node->input()); }
loco::DataType visit(const TFStridedSlice *node) { return dtype_get(node->input()); }
loco::DataType visit(const TFSub *node) { return dtype_get(node->x()); }
loco::DataType visit(const TFTanh *node) { return dtype_get(node->x()); }
// For virtual nodes
loco::DataType visit(const TFPush *node) { return dtype_get(node->from()); }
};
} // namespace
namespace moco
{
bool TFTypeInferenceRule::recognize(const loco::Dialect *d) const
{
// This rule recognizes only "TFDialect" dialect!
return TFDialect::get() == d;
}
bool TFTypeInferenceRule::infer(const loco::Node *node, loco::DataType &dtype) const
{
assert(node->dialect() == TFDialect::get());
TypeForwardAlgorithm alg;
// clang-format off
#define TENSORFLOW_NODE(OPCODE,CLASS) \
if (dynamic_cast<const moco::CLASS *>(node)) \
{ \
auto tfnode = dynamic_cast<const moco::CLASS *>(node); \
dtype = tfnode->accept(&alg); \
assert(dtype != loco::DataType::Unknown); \
return true; \
}
#include "moco/IR/TFNodes.lst"
#undef TENSORFLOW_NODE
// clang-format on
return false;
}
} // namespace moco
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