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/*
* Copyright (c) 2018 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 "Gather.h"
#include "Common.h"
#include "mir/Tensor.h"
namespace mir_interpreter
{
using namespace mir;
template <typename T, typename IndicesT> struct GatherImpl
{
static void run(const TensorVariant &datav, const TensorVariant &indicesv,
const ops::GatherOp &op, mir::TensorVariant &res);
};
template <typename T, typename IndicesT>
void GatherImpl<T, IndicesT>::run(const TensorVariant &datav, const TensorVariant &indicesv,
const ops::GatherOp &op, TensorVariant &res)
{
const auto &data_shape = datav.getShape();
const auto &indices_shape = indicesv.getShape();
Tensor<T> data(datav);
Tensor<T> output(res);
Tensor<IndicesT> indices(indicesv);
int32_t axis = op.getAxis();
if (axis < 0)
axis += data_shape.rank();
assert(axis >= 0 && axis < data_shape.rank());
int32_t axis_size = data_shape.dim(axis);
int32_t num_indices = indices_shape.numElements();
int32_t outer_size = 1;
for (int32_t i = 0; i < axis; ++i)
outer_size *= data_shape.dim(i);
int32_t inner_size = 1;
for (int32_t i = axis + 1; i < data_shape.rank(); ++i)
inner_size *= data_shape.dim(i);
for (int32_t outer = 0; outer < outer_size; ++outer)
{
for (int32_t i = 0; i < num_indices; ++i)
{
auto index = indices.atOffset(i);
assert(index >= 0 && index < axis_size);
for (int32_t inner = 0; inner < inner_size; inner++)
{
output.atOffset((outer * num_indices + i) * inner_size + inner) =
data.atOffset((outer * axis_size + index) * inner_size + inner);
}
}
}
}
// a hack to reuse dispath function
template <typename T> struct GatherByT
{
template <typename IndicesT> using GatherWithFixedT = GatherImpl<T, IndicesT>;
static void run(const TensorVariant &data, const TensorVariant &indices, const ops::GatherOp &op,
TensorVariant &res)
{
dispatch<GatherWithFixedT>(indices.getElementType(), data, indices, op, res);
}
};
void Gather(const TensorVariant &data, const TensorVariant &indices, const ops::GatherOp &op,
TensorVariant &res)
{
dispatch<GatherByT>(data.getElementType(), data, indices, op, res);
}
} // namespace mir_interpreter
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