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 Softmax op constructions |
22 | * \file nn/flatten.h |
23 | */ |
24 | #ifndef TVM_TOPI_NN_FLATTEN_H_ |
25 | #define TVM_TOPI_NN_FLATTEN_H_ |
26 | |
27 | #include <tvm/te/operation.h> |
28 | #include <tvm/topi/detail/constant_utils.h> |
29 | #include <tvm/topi/tags.h> |
30 | |
31 | #include <string> |
32 | #include <vector> |
33 | |
34 | namespace tvm { |
35 | namespace topi { |
36 | namespace nn { |
37 | |
38 | using namespace tvm::te; |
39 | |
40 | /*! |
41 | * \brief Flattens the input tensor into a 2-D tensor by collapsing higher dimensions. |
42 | * This requires the input tensor to have constant sized dimensions. |
43 | * |
44 | * \param x The input tensor. |
45 | * \param name The name of the operation |
46 | * \param tag The tag to mark the operation |
47 | * |
48 | * \return A 2-D tensor. |
49 | */ |
50 | inline Tensor flatten(const Tensor& x, std::string name = "tensor" , std::string tag = kInjective) { |
51 | auto ishape = x->shape; |
52 | PrimExpr dim = 1; |
53 | for (size_t i = 1; i < ishape.size(); ++i) { |
54 | dim = dim * ishape[i]; |
55 | } |
56 | |
57 | Array<PrimExpr> oshape({ishape[0], dim}); |
58 | |
59 | std::vector<PrimExpr> ; |
60 | for (size_t i = 1; i < ishape.size(); ++i) { |
61 | extra_shape.push_back(ishape[i]); |
62 | } |
63 | std::reverse(extra_shape.begin(), extra_shape.end()); |
64 | |
65 | return tvm::te::compute( |
66 | oshape, |
67 | [&](Var i, Var j) { |
68 | PrimExpr idx = j; |
69 | std::vector<PrimExpr> index; |
70 | for (auto s : extra_shape) { |
71 | index.push_back(indexmod(idx, s)); |
72 | idx = indexdiv(idx, s); |
73 | } |
74 | index.push_back(i); |
75 | std::reverse(index.begin(), index.end()); |
76 | return x(index); |
77 | }, |
78 | name, tag); |
79 | } |
80 | |
81 | } // namespace nn |
82 | } // namespace topi |
83 | } // namespace tvm |
84 | #endif // TVM_TOPI_NN_FLATTEN_H_ |
85 | |