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// Copyright (c) 2020, ARM Limited.
//
// 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 "graph_node.h"
using namespace TosaReference;
using namespace Eigen;
using namespace tosa;
GraphNode::GraphNode(const Op& nodeType_, const uint64_t id_)
{
nodeType = nodeType_;
nodeId = id_;
inputs.clear();
outputs.clear();
inputNames.clear();
outputNames.clear();
clearNodeMarked();
evalCount = 0;
clearOnNextNodeList();
setRequiredOperands(-1, -1);
setRequiredRank(-1);
}
GraphNode::~GraphNode()
{}
int GraphNode::addInputName(std::string& name)
{
inputNames.push_back(name);
return 0;
}
int GraphNode::addOutputName(std::string& name)
{
outputNames.push_back(name);
return 0;
}
int GraphNode::addInputTensor(Tensor* tens)
{
ASSERT_MSG(tens, "GraphNode::addInputTensor: no tensor provided");
inputs.push_back(tens);
return 0;
}
int GraphNode::addOutputTensor(Tensor* tens)
{
ASSERT_MSG(tens, "GraphNode::addOutputTensor: no tensor provided");
outputs.push_back(tens);
return 0;
}
int GraphNode::checkTensorAttributes()
{
// Placeholder
return 0;
}
int GraphNode::eval()
{
// Placeholder evaluation function
evalCount++;
// this should be set by derived op
for (auto ct : getOutputs())
{
ct->setIsValid();
}
return 0;
}
int GraphNode::hasAllInputsReady() const
{
for (size_t i = 0; i < inputs.size(); i++)
{
if (!inputs[i]->getIsValid())
return false;
}
return true;
}
int GraphNode::hasAllOutputsReady() const
{
for (size_t i = 0; i < outputs.size(); i++)
{
if (!outputs[i]->getIsValid())
return false;
}
return true;
}
int GraphNode::dumpNode(FILE* out)
{
int i;
fprintf(out, "Node type: %s ID: %lu Eval Count: %d On next node list: %d Is marked: %d\n", EnumNamesOp()[nodeType],
nodeId, evalCount, onNextNodeList, isMarked);
i = 0;
for (Tensor* ins : inputs)
{
fprintf(out, " Input[%d] ", i++);
ins->dumpTensorParams(out);
}
i = 0;
for (Tensor* outs : outputs)
{
fprintf(out, " Output[%d] ", i++);
outs->dumpTensorParams(out);
}
return 0;
}
int GraphNode::dumpNode(std::ostream& out)
{
int i;
out << "Node type: " << EnumNamesOp()[nodeType] << " ID: " << nodeId << " Eval count: " << evalCount
<< " On next node list: " << onNextNodeList << " Is marked: " << isMarked << std::endl;
out << " Inputs:";
for (std::string& name : inputNames)
{
out << " " << name;
}
out << std::endl;
i = 0;
for (Tensor* ins : inputs)
{
out << " Input[" << i++ << "]: ";
ins->dumpTensorParams(out);
}
out << " Outputs:";
for (std::string& name : outputNames)
{
out << " " << name;
}
out << std::endl;
i = 0;
for (Tensor* outs : outputs)
{
out << " Output[" << i++ << "]: ";
outs->dumpTensorParams(out);
}
return 0;
}
int GraphNode::printNodeValidationError(const std::string& msg)
{
std::cout << "Operator validation error: " << msg << std::endl;
;
dumpNode(std::cout);
return 0;
}
int GraphNode::validateRequiredOperands()
{
if (requiredInputCount >= 0 && inputs.size() != (size_t)requiredInputCount)
{
printNodeValidationError(std::string(EnumNamesOp()[nodeType]) + " operator must have " +
std::to_string(requiredInputCount) + " input(s)");
return 1;
}
if (requiredOutputCount >= 0 && outputs.size() != (size_t)requiredOutputCount)
{
printNodeValidationError(std::string(EnumNamesOp()[nodeType]) + " operator output must have exactly " +
std::to_string(requiredOutputCount) + " output(s)");
return 1;
}
return 0;
}
int GraphNode::validateRequiredRank(const Tensor* t)
{
if (requiredRankMin >= 0 && requiredRankMax >= 0)
{
if (t->checkRequiredRank(requiredRankMin, requiredRankMax))
{
printNodeValidationError(std::string(EnumNamesOp()[nodeType]) +
" operand has illegal rank=" + std::to_string(t->getRank()) + " not in range [" +
std::to_string(requiredRankMin) + "," + std::to_string(requiredRankMax) +
"]. tensorName: " + t->getName());
return 1;
}
else
{
return 0;
}
}
if (requiredRankMin >= 0)
{
if (t->checkRequiredRank(requiredRankMin))
{
printNodeValidationError(std::string(EnumNamesOp()[nodeType]) +
" operand has illegal rank=" + std::to_string(t->getRank()) + " not equal to " +
std::to_string(requiredRankMin) + ". tensorName: " + t->getName());
return 1;
}
}
return 0;
}
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