1 files changed, 226 insertions, 0 deletions
diff --git a/reference_model/src/graph_node.cc b/reference_model/src/graph_node.cc
new file mode 100644
index 0000000..b57b9dd
--- /dev/null
+++ b/reference_model/src/graph_node.cc
@@ -0,0 +1,226 @@
+
+// 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;
+}