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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 "mir/ops/DepthwiseConv2DOp.h"
namespace mir
{
namespace ops
{
void DepthwiseConv2DOp::inferOutputTypes()
{
// Kernel shape: [Hk, Wk, Ci, M].
const auto &input_shape = getInputShape(0);
const auto &kernel_shape = getInputShape(1);
const int batch_dim_index = getDataBatchDimIndex(_attributes.data_format);
const int channel_dim_index = getDataChannelDimIndex(_attributes.data_format);
assert(input_shape.rank() == 4);
assert(kernel_shape.rank() == 4);
assert(input_shape.dim(channel_dim_index) == kernel_shape.dim(2));
assert(_attributes.strides.size() == 2);
assert(_attributes.padding_before.size() == 2);
assert(_attributes.padding_after.size() == 2);
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) * kernel_shape.dim(3);
for (int i = 0; i < 2; 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[i] + _attributes.padding_after[i];
// out_size = ceil((in_size - kernel_size + 1) / stride) =
// (in_size - kernel_size + 1 + stride - 1) / stride =
// (in_size - kernel_size) / stride + 1
output_shape.dim(spatial_dim_index) =
(padded_input - kernel_shape.dim(i)) / _attributes.strides[i] + 1;
}
setOutputType(0, {getInput(0)->getElementType(), output_shape});
}
} // namespace ops
} // namespace mir
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