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/*
* Copyright (c) 2020 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 "Mul.h"
#include "Common.h"
#include "mir/ShapeRange.h"
#include "mir/Tensor.h"
namespace mir_interpreter
{
using namespace mir;
template <typename T> struct MulImpl
{
static void run(const TensorVariant &lhs, const TensorVariant &rhs, TensorVariant &res);
};
template <typename T>
void MulImpl<T>::run(const TensorVariant &lhs, const TensorVariant &rhs, TensorVariant &res)
{
TensorVariant broadcasted_lhs(lhs, res.getShape());
TensorVariant broadcasted_rhs(rhs, res.getShape());
Tensor<T> lhs_accessor(broadcasted_lhs);
Tensor<T> rhs_accessor(broadcasted_rhs);
Tensor<T> res_accessor(res);
for (const auto &index : ShapeRange(res.getShape()))
{
res_accessor.at(index) = lhs_accessor.at(index) * rhs_accessor.at(index);
}
}
template <> struct MulImpl<uint8_t>
{
static void run(const TensorVariant &lhs, const TensorVariant &rhs, TensorVariant &res)
{
throw std::runtime_error{"NYI"};
}
};
void Mul(const TensorVariant &lhs, const TensorVariant &rhs, TensorVariant &res)
{
dispatch<MulImpl>(lhs.getElementType(), lhs, rhs, res);
};
} // namespace mir_interpreter
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