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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.
*/
#ifndef __MOCO_IR_TFCONV2DBACKPROPINPUT_H__
#define __MOCO_IR_TFCONV2DBACKPROPINPUT_H__
#include "moco/IR/TFNodeDecl.h"
#include <vector>
namespace moco
{
/// @note TFConv2DBackpropInput corresponds to the following GraphDef
/*
node {
name: "conv2d_backprop_input"
op: "Conv2DBackpropInput"
input: "input_sizes"
input: "filter"
input: "out_backprop"
attr {
key: "T"
value { type: DT_FLOAT }
}
attr {
key: "data_format"
value { s: "NHWC" }
}
attr {
key: "dilations"
value {
list { i: 1 i: 1 i: 1 i: 1 }
}
}
attr {
key: "padding"
value { s: "SAME" }
}
attr {
key: "strides"
value {
list { i: 1 i: 2 i: 2 i: 1 }
}
}
}
*/
/**
* @note For Tensorflow Conv2DBackpropInput, 'input' refers actual output of the
* node, and 'input' refers actual input. The reasone of this is, as name
* suggests, because it is inspired from backpropagation of convolution.
* For example, 'out_backprop' of Conv2DBackpropInput is its actual input
* feature map, and 'input_sizes' means desired output node's size.
* Note that this convention is against loco canonical's convention.
*/
class TFConv2DBackpropInput final
: public FixedArityNode<3, TFNodeImpl<TFOpcode::Conv2DBackpropInput>>
{
public:
loco::Node *input_sizes(void) const { return at(0)->node(); }
void input_sizes(Node *node) { at(0)->node(node); }
loco::Node *filter(void) const { return at(1)->node(); }
void filter(Node *node) { at(1)->node(node); }
loco::Node *out_backprop(void) const { return at(2)->node(); }
void out_backprop(Node *node) { at(2)->node(node); }
public:
const TFPadding &padding(void) const { return _padding; }
void padding(const TFPadding &padding) { _padding = padding; }
const TFDataLayout &data_layout(void) const { return _data_layout; }
void data_layout(const TFDataLayout &data_layout) { _data_layout = data_layout; }
const std::vector<int64_t> &strides(void) const { return _strides; }
void strides(const std::vector<int64_t> &strides) { _strides = strides; }
private:
TFPadding _padding;
TFDataLayout _data_layout;
std::vector<int64_t> _strides;
// TODO Support "Dilation"
};
} // namespace moco
#endif // __MOCO_IR_TFCONV2DBACKPROPINPUT_H__
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