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// Copyright (c) 2020-2022, 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 "ewise_ternary.h"
using namespace TosaReference;
using namespace Eigen;
using namespace tosa;
template <int Rank, DType Dtype>
OpSelectBase<Rank, Dtype>::OpSelectBase(SubgraphTraverser* sgt_,
TosaAttributeBase* attribute_,
uint64_t id_)
: GraphNode(sgt_, Op_SELECT, id_)
{
setRequiredOperands(3, 1);
setRequiredRank(0, 6);
}
template <int Rank, DType Dtype>
OpSelectBase<Rank, Dtype>::~OpSelectBase()
{}
template <int Rank, DType Dtype>
int OpSelectBase<Rank, Dtype>::checkTensorAttributes()
{
if (validateRequiredOperands())
return 1;
if (validateRequiredRank(inputs[0]) || validateRequiredRank(inputs[1]) || validateRequiredRank(inputs[2]) ||
validateRequiredRank(outputs[0]))
{
return 1;
}
// output and input must be the same types
if (inputs[0]->matchRankShape(*outputs[0], true /* broadcastOk */) ||
inputs[1]->matchRankTypeShape(*outputs[0], true /* broadcastOk */) ||
inputs[2]->matchRankTypeShape(*outputs[0], true /* broadcastOk */))
{
printNodeValidationError("Failure to match input and output rank/type/shape");
return 1;
}
cond = dynamic_cast<TosaReference::TensorTemplate<TCond>*>(inputs[0]);
then_val = dynamic_cast<TosaReference::TensorTemplate<TIn>*>(inputs[1]);
else_val = dynamic_cast<TosaReference::TensorTemplate<TIn>*>(inputs[2]);
out = dynamic_cast<TosaReference::TensorTemplate<TIn>*>(outputs[0]);
return 0;
}
template <int Rank, DType Dtype>
int OpSelectBase<Rank, Dtype>::eval()
{
FATAL_ERROR("shouldn't be called");
}
template <int Rank, DType Dtype>
int OpSelect<Rank, Dtype>::broadcast()
{
const std::vector<int>& cond_shape = this->cond->getShape();
const std::vector<int>& then_shape = this->then_val->getShape();
const std::vector<int>& else_shape = this->else_val->getShape();
const std::vector<int>& output_shape = this->out->getShape();
for (int i = 0; i < Rank; i++)
{
this->bcast_cond[i] = (cond_shape[i] != output_shape[i] && cond_shape[i] == 1) ? output_shape[i] : 1;
this->bcast_then[i] = (then_shape[i] != output_shape[i] && then_shape[i] == 1) ? output_shape[i] : 1;
this->bcast_else[i] = (else_shape[i] != output_shape[i] && else_shape[i] == 1) ? output_shape[i] : 1;
}
return 0;
}
template <int Rank, DType Dtype>
int OpSelect<Rank, Dtype>::eval()
{
this->broadcast();
this->out->getTensor() = this->cond->getTensor()
.broadcast(this->bcast_cond)
.select(this->then_val->getTensor().broadcast(this->bcast_then),
this->else_val->getTensor().broadcast(this->bcast_else));
return GraphNode::eval();
}
template <DType Dtype>
int OpSelect<0, Dtype>::eval()
{
this->out->getTensor() = this->cond->getTensor().select(this->then_val->getTensor(), this->else_val->getTensor());
return GraphNode::eval();
}
// template explicit instantiation
DEF_INSTANTIATE_RANK0_6_ONE_RANK_ONE_TYPE(OpSelect, FP16);
DEF_INSTANTIATE_RANK0_6_ONE_RANK_ONE_TYPE(OpSelect, FP32);
DEF_INSTANTIATE_RANK0_6_ONE_RANK_ONE_TYPE(OpSelect, INT8);
DEF_INSTANTIATE_RANK0_6_ONE_RANK_ONE_TYPE(OpSelect, INT16);
DEF_INSTANTIATE_RANK0_6_ONE_RANK_ONE_TYPE(OpSelect, INT32);
DEF_INSTANTIATE_RANK0_6_ONE_RANK_ONE_TYPE(OpSelect, BOOL);
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