1/*
2 * Licensed to the Apache Software Foundation (ASF) under one
3 * or more contributor license agreements. See the NOTICE file
4 * distributed with this work for additional information
5 * regarding copyright ownership. The ASF licenses this file
6 * to you under the Apache License, Version 2.0 (the
7 * "License"); you may not use this file except in compliance
8 * with the License. You may obtain a copy of the License at
9 *
10 * http://www.apache.org/licenses/LICENSE-2.0
11 *
12 * Unless required by applicable law or agreed to in writing,
13 * software distributed under the License is distributed on an
14 * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
15 * KIND, either express or implied. See the License for the
16 * specific language governing permissions and limitations
17 * under the License.
18 */
19
20/*!
21 * \file yolo.cc
22 * \brief Yolo related operators
23 */
24#include <tvm/relay/attrs/vision.h>
25#include <tvm/relay/op.h>
26#include <tvm/topi/vision/reorg.h>
27
28#include <vector>
29
30#include "../op_common.h"
31#include "../type_relations.h"
32
33namespace tvm {
34namespace relay {
35
36TVM_REGISTER_NODE_TYPE(YoloReorgAttrs);
37
38/*!
39 * \brief YoloReorgRel Output type and shape relation evaluation function.
40 * \param num_inputs Number of input types in the args.
41 * \param attrs The additional attributes of the operator.
42 * \param reporter The reporter to report solution to.
43 * \return false if This relation cannot be resolved. true if this relation has been resolved.
44 */
45bool YoloReorgRel(const Array<Type>& types, int num_inputs, const Attrs& attrs,
46 const TypeReporter& reporter) {
47 ICHECK_EQ(types.size(), 2);
48 const auto* data = types[0].as<TensorTypeNode>();
49 if (data == nullptr) return false;
50
51 const YoloReorgAttrs* param = attrs.as<YoloReorgAttrs>();
52 ICHECK(param != nullptr);
53
54 ICHECK(data->shape.size() == 4) << "Yolo reorg supports only 4 dimension.";
55 std::vector<IndexExpr> oshape(data->shape.begin(), data->shape.end());
56 oshape[1] = oshape[1] * param->stride * param->stride;
57 oshape[2] = indexdiv(oshape[2], param->stride);
58 oshape[3] = indexdiv(oshape[3], param->stride);
59 reporter->Assign(types[1], TensorType(oshape, data->dtype));
60 return true;
61}
62
63Expr MakeYoloReorg(Expr data, Integer stride) {
64 auto attrs = make_object<YoloReorgAttrs>();
65 attrs->stride = stride;
66 static const Op& op = Op::Get("vision.yolo_reorg");
67 return Call(op, {data}, Attrs(attrs), {});
68}
69
70TVM_REGISTER_GLOBAL("relay.op.vision._make.yolo_reorg").set_body_typed(MakeYoloReorg);
71
72RELAY_REGISTER_OP("vision.yolo_reorg")
73 .describe(R"doc("Yolo reorg operation. This layer reorganize the output.
74Its function is mostly shape transform.")doc" TVM_ADD_FILELINE)
75 .add_argument("data", "Tensor", "The input tensor.")
76 .set_num_inputs(1)
77 .set_support_level(5)
78 .set_attrs_type<YoloReorgAttrs>()
79 .add_type_rel("YoloReorg", YoloReorgRel)
80 .set_attr<FTVMCompute>("FTVMCompute", [](const Attrs& attrs, const Array<te::Tensor>& inputs,
81 const Type& out_type) {
82 const auto* params = attrs.as<YoloReorgAttrs>();
83 ICHECK(params != nullptr);
84 return Array<te::Tensor>{topi::vision::reorg(inputs[0], params->stride.IntValue())};
85 });
86
87} // namespace relay
88} // namespace tvm
89