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 src/ir/tensor_type.cc |
22 | * \brief The type system AST nodes of Relay. |
23 | */ |
24 | #include <tvm/ir/tensor_type.h> |
25 | #include <tvm/runtime/registry.h> |
26 | #include <tvm/tir/op.h> |
27 | |
28 | namespace tvm { |
29 | |
30 | using tvm::ReprPrinter; |
31 | using namespace tvm::runtime; |
32 | |
33 | TensorType::TensorType(Array<PrimExpr> shape, DataType dtype) { |
34 | ObjectPtr<TensorTypeNode> n = make_object<TensorTypeNode>(); |
35 | n->shape = std::move(shape); |
36 | n->dtype = std::move(dtype); |
37 | data_ = std::move(n); |
38 | } |
39 | |
40 | TensorType TensorType::Scalar(DataType dtype) { return TensorType({}, dtype); } |
41 | |
42 | PrimExpr TensorTypeNode::Size() const { |
43 | if (shape.size() == 0) { |
44 | return tir::make_const(DataType::Int(64), 1); |
45 | } |
46 | |
47 | PrimExpr size = shape[0]; |
48 | for (size_t i = 1; i < shape.size(); ++i) { |
49 | size *= shape[i]; |
50 | } |
51 | return size; |
52 | } |
53 | |
54 | TVM_REGISTER_NODE_TYPE(TensorTypeNode); |
55 | |
56 | TVM_REGISTER_GLOBAL("ir.TensorType" ).set_body_typed([](Array<PrimExpr> shape, DataType dtype) { |
57 | return TensorType(shape, dtype); |
58 | }); |
59 | |
60 | TVM_STATIC_IR_FUNCTOR(ReprPrinter, vtable) |
61 | .set_dispatch<TensorTypeNode>([](const ObjectRef& ref, ReprPrinter* p) { |
62 | auto* node = static_cast<const TensorTypeNode*>(ref.get()); |
63 | p->stream << "TensorType(" << node->shape << ", " << node->dtype << ")" ; |
64 | }); |
65 | |
66 | } // namespace tvm |
67 | |