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 | * \brief Reorg op constructions |
22 | * \file vision/reorg.h |
23 | */ |
24 | #ifndef TVM_TOPI_VISION_REORG_H_ |
25 | #define TVM_TOPI_VISION_REORG_H_ |
26 | |
27 | #include <tvm/te/operation.h> |
28 | #include <tvm/topi/detail/constant_utils.h> |
29 | #include <tvm/topi/reduction.h> |
30 | #include <tvm/topi/tags.h> |
31 | #include <tvm/topi/transform.h> |
32 | |
33 | #include <algorithm> |
34 | #include <string> |
35 | |
36 | namespace tvm { |
37 | namespace topi { |
38 | namespace vision { |
39 | |
40 | using namespace tvm::te; |
41 | |
42 | /*! |
43 | * \brief Reorg operation |
44 | * |
45 | * \param data The input tensor. Can be any dimension |
46 | * \param stride The input integer used as stride in reorg operation |
47 | * \param name The name of the operation |
48 | * \param tag The tag to mark the operation |
49 | * |
50 | * \return A Tensor whose op member is the reorg operation |
51 | */ |
52 | inline Tensor reorg(const Tensor& data, int stride = 1, std::string name = "tensor" , |
53 | std::string tag = "reorg_output" ) { |
54 | auto input_shape = data->shape; |
55 | |
56 | int batch = GetConstInt(input_shape[0]); |
57 | int c_in = GetConstInt(input_shape[1]); |
58 | int h_in = GetConstInt(input_shape[2]); |
59 | int w_in = GetConstInt(input_shape[3]); |
60 | int out_c = c_in / (stride * stride); |
61 | |
62 | auto out = tvm::te::compute( |
63 | input_shape, |
64 | [&](Var b, Var k, Var j, Var i) { |
65 | return data(b * stride * stride, indexmod(k, out_c) * stride * stride, |
66 | (j * stride + indexdiv(indexdiv(k, out_c), stride)) * stride, |
67 | (i * stride + indexmod(indexdiv(k, out_c), stride))); |
68 | }, |
69 | name, tag); |
70 | |
71 | out_c = c_in * stride * stride; |
72 | int out_h = h_in / stride; |
73 | int out_w = w_in / stride; |
74 | |
75 | Array<PrimExpr> out_shape = {batch, out_c, out_h, out_w}; |
76 | return reshape(out, out_shape); |
77 | } |
78 | } // namespace vision |
79 | } // namespace topi |
80 | } // namespace tvm |
81 | #endif // TVM_TOPI_VISION_REORG_H_ |
82 | |