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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 "data_nodes.h"
using namespace TosaReference;
using namespace Eigen;
using namespace tosa;
OpConst::OpConst(uint64_t id_)
: GraphNode(Op_CONST, id_)
{
setRequiredOperands(0, 1);
}
OpConst::~OpConst()
{}
int OpConst::checkTensorAttributes()
{
if (validateRequiredOperands())
return 1;
return 0;
}
int OpConst::eval()
{
// Evaluation is trivial for constants
return GraphNode::eval();
}
OpPlaceholder::OpPlaceholder(uint64_t id_)
: GraphNode(Op_PLACEHOLDER, id_)
{
setRequiredOperands(0, 1);
}
OpPlaceholder::~OpPlaceholder()
{}
int OpPlaceholder::checkTensorAttributes()
{
if (validateRequiredOperands())
return 1;
return 0;
}
int OpPlaceholder::eval()
{
// Evaluation is trivial for placeholders
return GraphNode::eval();
}
template <int Rank, DType Dtype>
OpIdentity<Rank, Dtype>::OpIdentity(TosaAttributeBase* attribute_, TosaQuantInfoBase* qinfo_, uint64_t id_)
: GraphNode(Op_IDENTITY, id_)
{
setRequiredOperands(1, 1);
setRequiredRank(0, 6);
}
template <int Rank, DType Dtype>
OpIdentity<Rank, Dtype>::~OpIdentity()
{}
template <int Rank, DType Dtype>
int OpIdentity<Rank, Dtype>::checkTensorAttributes()
{
if (inputs.size() != outputs.size())
{
printNodeValidationError("Input and output tensor list lengths are not equal");
return 1;
}
in = dynamic_cast<TosaReference::TensorTemplate<TIn>*>(inputs[0]);
out = dynamic_cast<TosaReference::TensorTemplate<TOut>*>(outputs[0]);
if (in->matchRankTypeShape(*out))
{
printNodeValidationError("Input and output tensor rank, type, or shape do not match");
return 1;
}
return 0;
}
template <int Rank, DType Dtype>
int OpIdentity<Rank, Dtype>::eval()
{
out->getTensor() = in->getTensor();
return GraphNode::eval();
}
template <int Rank, DType Dtype>
OpIdentityN<Rank, Dtype>::OpIdentityN(TosaAttributeBase* attribute_, TosaQuantInfoBase* qinfo_, uint64_t id_)
: GraphNode(Op_IDENTITYN, id_)
{
setRequiredRank(0, 6);
}
template <int Rank, DType Dtype>
OpIdentityN<Rank, Dtype>::~OpIdentityN()
{}
template <int Rank, DType Dtype>
int OpIdentityN<Rank, Dtype>::checkTensorAttributes()
{
if (inputs.size() != outputs.size())
{
printNodeValidationError("Input and output tensor list lengths are not equal");
return 1;
}
for (size_t i = 0; i < inputs.size(); i++)
{
ins.push_back(dynamic_cast<TosaReference::TensorTemplate<TIn>*>(inputs[i]));
outs.push_back(dynamic_cast<TosaReference::TensorTemplate<TOut>*>(outputs[i]));
if (ins[i]->matchRankTypeShape(*outs[i]))
{
printNodeValidationError("Input and output tensor rank, type, or shape do not match");
return 1;
}
}
return 0;
}
template <int Rank, DType Dtype>
int OpIdentityN<Rank, Dtype>::eval()
{
for (size_t i = 0; i < ins.size(); i++)
{
outs[i]->getTensor() = ins[i]->getTensor();
}
return GraphNode::eval();
}
// template explicit instantiation
// note OpConst and OpPlaceholder are not templated
DEF_INSTANTIATE_RANK0_6_ONE_RANK_ONE_TYPE(OpIdentity, FLOAT);
DEF_INSTANTIATE_RANK0_6_ONE_RANK_ONE_TYPE(OpIdentity, AINT8);
DEF_INSTANTIATE_RANK0_6_ONE_RANK_ONE_TYPE(OpIdentity, INT8);
DEF_INSTANTIATE_RANK0_6_ONE_RANK_ONE_TYPE(OpIdentity, INT16);
DEF_INSTANTIATE_RANK0_6_ONE_RANK_ONE_TYPE(OpIdentity, INT32);
DEF_INSTANTIATE_RANK0_6_ONE_RANK_ONE_TYPE(OpIdentity, BOOL);
DEF_INSTANTIATE_RANK0_6_ONE_RANK_ONE_TYPE(OpIdentityN, FLOAT);
DEF_INSTANTIATE_RANK0_6_ONE_RANK_ONE_TYPE(OpIdentityN, AINT8);
DEF_INSTANTIATE_RANK0_6_ONE_RANK_ONE_TYPE(OpIdentityN, INT8);
DEF_INSTANTIATE_RANK0_6_ONE_RANK_ONE_TYPE(OpIdentityN, INT16);
DEF_INSTANTIATE_RANK0_6_ONE_RANK_ONE_TYPE(OpIdentityN, INT32);
DEF_INSTANTIATE_RANK0_6_ONE_RANK_ONE_TYPE(OpIdentityN, BOOL);
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