ONE - On-device Neural Engine
Loading...
Searching...
No Matches
Pad.cpp
Go to the documentation of this file.
1/*
2 * Copyright (c) 2019 Samsung Electronics Co., Ltd. All Rights Reserved
3 *
4 * Licensed under the Apache License, Version 2.0 (the "License");
5 * you may not use this file except in compliance with the License.
6 * You may obtain a copy of the License at
7 *
8 * http://www.apache.org/licenses/LICENSE-2.0
9 *
10 * Unless required by applicable law or agreed to in writing, software
11 * distributed under the License is distributed on an "AS IS" BASIS,
12 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
13 * See the License for the specific language governing permissions and
14 * limitations under the License.
15 */
16
17#include "Pad.h"
18
19#include "ONNXHelpers.h"
20#include "AttributeHelpers.h"
21
22#include "mir/ops/PadOp.h"
23
24namespace mir_onnx
25{
26
27void convertPadAttrName(const std::string &pad_attr_name, const onnx::NodeProto &onnx_node,
28 ConverterContext *context)
29{
30 std::vector<mir::Operation::Output *> inputs = context->getNodeInputs(onnx_node);
31 mir::Graph *graph = context->getGraph();
32
33 assert(inputs.size() == 1);
34 auto input = inputs[0];
35
36 // 0.0f is the default value to be filled into padded cells.
37 const auto value = getAttributeValue<float>(onnx_node, "value", 0.0f);
38 const auto pads = getAttributeValue<std::vector<std::int64_t>>(onnx_node, pad_attr_name);
39 // "constant" is the default mode.
40 const auto mode = getAttributeValue<std::string>(onnx_node, "mode", "constant");
41 if (mode != "constant")
42 throw std::runtime_error("Not supported Pad mode attribute!");
43
44 const int num_dims = input->getShape().rank();
45 assert(static_cast<int>(pads.size()) == num_dims * 2);
46 mir::PadOpAttributes attributes(num_dims);
47 for (int i = 0; i < num_dims; i++)
48 {
49 attributes.padding_before[i] = pads[i];
50 attributes.padding_after[i] = pads[num_dims + i];
51 }
52
53 attributes.padding_value = value;
54
55 auto result = createOp<mir::ops::PadOp>(graph, input, attributes)->getOutput(0);
56
57 context->setNodeOutputs(onnx_node, {result});
58}
59
60void convertPadV1(const onnx::NodeProto &onnx_node, ConverterContext *context)
61{
62 convertPadAttrName("paddings", onnx_node, context);
63}
64
65void convertPadV2(const onnx::NodeProto &onnx_node, ConverterContext *context)
66{
67 convertPadAttrName("pads", onnx_node, context);
68}
69
70} // namespace mir_onnx
void setNodeOutputs(const onnx::NodeProto &onnx_node, const std::vector< mir::Operation::Output * > &outputs)
std::vector< mir::Operation::Output * > getNodeInputs(const onnx::NodeProto &onnx_node) const
void convertPadV1(const onnx::NodeProto &onnx_node, ConverterContext *context)
Definition Pad.cpp:60
void convertPadAttrName(const std::string &pad_attr_name, const onnx::NodeProto &onnx_node, ConverterContext *context)
Definition Pad.cpp:27
void convertPadV2(const onnx::NodeProto &onnx_node, ConverterContext *context)
Definition Pad.cpp:65
std::vector< std::int32_t > padding_after
Definition Attributes.h:78
std::vector< std::int32_t > padding_before
Definition Attributes.h:77