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 Placeholder op. |
22 | * \file placeholder_op.cc |
23 | */ |
24 | #include <tvm/runtime/registry.h> |
25 | #include <tvm/te/operation.h> |
26 | |
27 | namespace tvm { |
28 | namespace te { |
29 | |
30 | // PlaceholderOpNode |
31 | TVM_STATIC_IR_FUNCTOR(ReprPrinter, vtable) |
32 | .set_dispatch<PlaceholderOpNode>([](const ObjectRef& node, ReprPrinter* p) { |
33 | auto* op = static_cast<const PlaceholderOpNode*>(node.get()); |
34 | p->stream << "placeholder(" << op->name << ", " << op << ")" ; |
35 | }); |
36 | |
37 | TVM_REGISTER_NODE_TYPE(PlaceholderOpNode); |
38 | |
39 | int PlaceholderOpNode::num_outputs() const { return 1; } |
40 | |
41 | Array<IterVar> PlaceholderOpNode::root_iter_vars() const { return {}; } |
42 | |
43 | DataType PlaceholderOpNode::output_dtype(size_t i) const { |
44 | ICHECK_EQ(i, 0U); |
45 | return dtype; |
46 | } |
47 | |
48 | Array<PrimExpr> PlaceholderOpNode::output_shape(size_t i) const { |
49 | ICHECK_EQ(i, 0U); |
50 | return shape; |
51 | } |
52 | |
53 | PlaceholderOp::PlaceholderOp(std::string name, Array<PrimExpr> shape, DataType dtype) { |
54 | auto n = make_object<PlaceholderOpNode>(); |
55 | n->name = name; |
56 | n->shape = shape; |
57 | n->dtype = dtype; |
58 | data_ = std::move(n); |
59 | } |
60 | |
61 | Tensor placeholder(Array<PrimExpr> shape, DataType dtype, std::string name) { |
62 | return PlaceholderOp(name, shape, dtype).output(0); |
63 | } |
64 | |
65 | TVM_REGISTER_GLOBAL("te.Placeholder" ) |
66 | .set_body_typed([](Array<PrimExpr> shape, DataType dtype, std::string name) { |
67 | return placeholder(shape, dtype, name); |
68 | }); |
69 | |
70 | Array<Tensor> PlaceholderOpNode::InputTensors() const { return {}; } |
71 | |
72 | Operation PlaceholderOpNode::ReplaceInputs(const Operation& self, |
73 | const std::unordered_map<Tensor, Tensor>& rmap) const { |
74 | return self; |
75 | } |
76 | |
77 | void PlaceholderOpNode::PropBoundToInputs( |
78 | const Operation& self, arith::Analyzer* analyzer, |
79 | const std::unordered_map<const VarNode*, IntSet>& dom_map, |
80 | std::unordered_map<Tensor, TensorDom>* out_dom_map) const {} |
81 | |
82 | void PlaceholderOpNode::GatherBound(const Operation& self, |
83 | const std::unordered_map<Tensor, TensorDom>& tensor_dom, |
84 | std::unordered_map<IterVar, Range>* out_dom_map) const {} |
85 | |
86 | Stmt PlaceholderOpNode::BuildRealize(const Stage& stage, |
87 | const std::unordered_map<IterVar, Range>& realize_map, |
88 | const Stmt& body, String storage_scope) const { |
89 | return body; |
90 | } |
91 | |
92 | Stmt PlaceholderOpNode::BuildProvide(const Stage& stage, |
93 | const std::unordered_map<IterVar, Range>& dom_map, |
94 | bool debug_keep_trivial_loop) const { |
95 | return Stmt(); |
96 | } |
97 | } // namespace te |
98 | } // namespace tvm |
99 | |