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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/Pass/Passes/ResolveConstantShape.h"
#include <moco/Support/TFShapeInferenceHelper.h>
#include <moco/Support/NodeAs.h>
#include <moco/IR/Nodes/TFShape.h>
#include <moco/IR/Nodes/TFConst.h>
#include <loco.h>
#include <oops/UserExn.h>
#include <cassert>
namespace
{
/**
* WHEN:
* - TFShape's input shape is determined
* DO:
* - Replace TFShape into TFConst
*
*
* <Before>
* in ---- TFShape ---- out(s)
*
* <After>
* in ---- TFShape
*
* TFConst ---- out(s)
*/
bool resolve_constant_shape(loco::Graph *graph, moco::TFShape *shape_node)
{
auto input_shape = moco::node_shape(shape_node->input());
// Check condition
if (input_shape.domain() == loco::Domain::Unknown)
{
// Cannot resolve without known input_shape
return false;
}
auto input_tensor_shape = input_shape.as<loco::TensorShape>();
auto shape_rank = input_tensor_shape.rank();
for (uint32_t axis = 0; axis < shape_rank; ++axis)
{
if (!input_tensor_shape.dim(axis).known())
{
// Cannot resolve with unknown dimension
return false;
}
}
// Make TFConst to replace TFShape
auto const_node = graph->nodes()->create<moco::TFConst>();
// set dtype
auto dtype = shape_node->dtype();
const_node->dtype(dtype);
// set shape
const_node->rank(1);
const_node->dim(0) = shape_rank;
// set data
if (dtype == loco::DataType::S32)
{
// TODO Better to make template for this when support new dtype
const_node->size<loco::DataType::S32>(shape_rank);
for (uint32_t axis = 0; axis < shape_rank; ++axis)
{
int32_t dim = (int32_t)input_tensor_shape.dim(axis).value();
if (!(dim > 0))
{
throw oops::UserExn("Invalid input shape", shape_node->name());
}
const_node->at<loco::DataType::S32>(axis) = dim;
}
}
else
{
throw oops::UserExn("Unsupported data type", shape_node->name());
}
// replace
loco::replace(shape_node).with(const_node);
return true;
}
} // namespace
namespace moco
{
bool ResolveConstantShape::run(loco::Graph *graph)
{
bool changed = false;
for (auto node : loco::active_nodes(loco::output_nodes(graph)))
{
if (auto shape_node = as<moco::TFShape>(node))
{
if (resolve_constant_shape(graph, shape_node))
changed = true;
}
}
return changed;
}
} // namespace moco
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