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 tvm/relay/attrs/memory.h |
22 | * \brief Attributes for memory operators. |
23 | */ |
24 | #ifndef TVM_RELAY_ATTRS_MEMORY_H_ |
25 | #define TVM_RELAY_ATTRS_MEMORY_H_ |
26 | |
27 | #include <tvm/ir/attrs.h> |
28 | #include <tvm/relay/expr.h> |
29 | #include <tvm/target/virtual_device.h> |
30 | |
31 | #include <string> |
32 | #include <vector> |
33 | |
34 | namespace tvm { |
35 | namespace relay { |
36 | |
37 | std::vector<TensorType> FlattenTupleType(const Type& type); |
38 | std::vector<Expr> FromTupleType(const Type& type, const Expr& expr); |
39 | Expr ToTupleType(const Type& t, const std::vector<Expr>& exprs); |
40 | |
41 | /*! |
42 | * \brief Options for allocating storage. |
43 | */ |
44 | struct AllocStorageAttrs : public tvm::AttrsNode<AllocStorageAttrs> { |
45 | DataType dtype; |
46 | VirtualDevice virtual_device = VirtualDevice::FullyUnconstrained(); |
47 | |
48 | TVM_DECLARE_ATTRS(AllocStorageAttrs, "relay.attrs.AllocStorageAttrs" ) { |
49 | TVM_ATTR_FIELD(dtype) |
50 | .describe("The dtype of the tensor to allocate." ) |
51 | .set_default(DataType::Float(32, 1)); |
52 | TVM_ATTR_FIELD(virtual_device).describe("The virtual device on which to allocate memory." ); |
53 | } |
54 | }; |
55 | |
56 | /*! |
57 | * \brief Options for allocating tensors. |
58 | */ |
59 | struct AllocTensorAttrs : public tvm::AttrsNode<AllocTensorAttrs> { |
60 | Constant const_shape; |
61 | Array<IndexExpr> assert_shape; |
62 | DataType dtype; |
63 | |
64 | TVM_DECLARE_ATTRS(AllocTensorAttrs, "relay.attrs.AllocTensorAttrs" ) { |
65 | TVM_ATTR_FIELD(dtype) |
66 | .describe("The dtype of the tensor to allocate." ) |
67 | .set_default(DataType::Float(32, 1)); |
68 | TVM_ATTR_FIELD(const_shape).describe("The shape of constant used to aid in type inference." ); |
69 | TVM_ATTR_FIELD(assert_shape) |
70 | .describe( |
71 | "The shape to cast the return type of the allocation to, " |
72 | "used to specify the shape obtained via further analysis." ); |
73 | } |
74 | }; |
75 | |
76 | } // namespace relay |
77 | } // namespace tvm |
78 | #endif // TVM_RELAY_ATTRS_MEMORY_H_ |
79 | |