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/*
* Copyright (c) 2019 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 "mir/ops/MaxPool2DOp.h"
namespace mir
{
namespace ops
{
void MaxPool2DOp::inferOutputTypes()
{
const auto &input_shape = getInputShape(0);
const int batch_dim_index = getDataBatchDimIndex(_attributes.data_format);
const int channel_dim_index = getDataChannelDimIndex(_attributes.data_format);
constexpr int num_spatial_dims = 2;
assert(input_shape.rank() == 4);
assert(_attributes.window.size() == num_spatial_dims);
assert(_attributes.strides.size() == num_spatial_dims);
assert(_attributes.padding_before.size() == num_spatial_dims);
assert(_attributes.padding_after.size() == num_spatial_dims);
Shape output_shape(4);
output_shape.dim(batch_dim_index) = input_shape.dim(batch_dim_index);
output_shape.dim(channel_dim_index) = input_shape.dim(channel_dim_index);
for (int i = 0; i < num_spatial_dims; i++)
{
const int spatial_dim_index = getDataSpatialDimIndex(_attributes.data_format, i);
const std::int32_t padded_input = input_shape.dim(spatial_dim_index) +
_attributes.padding_before.at(i) +
_attributes.padding_after.at(i);
// out_size = ceil((in_size - window_size + 1) / stride) =
// (in_size - window_size + 1 + stride - 1) / stride =
// (in_size - window_size) / stride + 1
output_shape.dim(spatial_dim_index) =
(padded_input - _attributes.window[i]) / _attributes.strides[i] + 1;
}
setOutputType(0, {getInput(0)->getElementType(), output_shape});
}
} // namespace ops
} // namespace mir
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