ONE - On-device Neural Engine
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CircleTransposeConv.cpp
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1/*
2 * Copyright (c) 2020 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
18
20
21#include <loco.h>
22
23#include <cassert>
24
25namespace luci
26{
27
29{
30 if (args.op.inputs.size() != 3 && args.op.inputs.size() != 4)
31 return false;
32
33 const auto &inputs = args.op.inputs;
34 const auto tensors = args.reader.tensors();
35 const auto filter_tensor = tensors.at(inputs.at(1));
36 assert(filter_tensor != nullptr);
37 const auto filter_shape = wrap(filter_tensor->shape());
38 const auto ifm_tensor = tensors.at(inputs.at(2));
39 assert(ifm_tensor != nullptr);
40 const auto ifm_shape = wrap(ifm_tensor->shape());
41
42 // ifm and filters must be 4-D tensor
43 if (ifm_shape.size() != 4)
44 return false;
45 if (filter_shape.size() != 4)
46 return false;
47
48 // input shape : [batch, height, width, in_channels]
49 // filters shape : [output_channels, height, weight, in_channels]
50 if (ifm_shape.at(3) != filter_shape.at(3))
51 return false;
52
53 return true;
54}
55
56CircleNode *CircleTransposeConvGraphBuilder::build_node(const circle::OperatorT &op,
57 const std::vector<CircleNode *> &inputs,
58 loco::Graph *graph) const
59{
60 auto *node = graph->nodes()->create<CircleTransposeConv>();
61
62 node->inputSizes(inputs.at(0));
63 node->filter(inputs.at(1));
64 node->outBackprop(inputs.at(2));
65 if (inputs.size() == 3)
66 {
67 auto *bias = graph->nodes()->create<CircleOutputExclude>();
68 node->bias(bias);
69 }
70 else
71 node->bias(inputs.at(3));
72
73 const auto *options = op.builtin_options.AsTransposeConvOptions();
74 node->padding(luci_padding(options->padding));
75 node->stride()->w(options->stride_w);
76 node->stride()->h(options->stride_h);
77 node->fusedActivationFunction(luci_actfunc(options->fused_activation_function));
78
79 return node;
80}
81
82} // namespace luci
A neural network graph.
Definition Graph.h:161
CircleOutputExclude is used to specifying not exported nodes.
bool validate(const ValidateArgs &args) const final
TRANSPOSE_CONV in Circle.
loco::Node * inputSizes(void) const
VectorWrapper< T > wrap(const flatbuffers::Vector< T > *vec)
Padding luci_padding(const circle::Padding padding)
FusedActFunc luci_actfunc(const circle::ActivationFunctionType type)