1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
|
#include <torch/csrc/jit/tensorexpr/tensor.h>
#include <c10/util/Logging.h>
#include <torch/csrc/jit/tensorexpr/dim_arg.h>
#include <torch/csrc/jit/tensorexpr/reduction.h>
namespace torch {
namespace jit {
namespace tensorexpr {
Tensor* Compute(
const std::string& func_name,
const std::vector<DimArg>& dim_args,
const std::function<ExprHandle(const std::vector<VarHandle>&)>& body_func) {
std::vector<const Expr*> dims;
std::vector<const Var*> args;
unpack_dim_args(dim_args, &dims, &args);
const Expr* body = body_func(VarVectorToVarHandleVector(args)).node();
Function* func = new Function(func_name, dims, args, body);
return new Tensor(func, 0);
}
Tensor* Compute(
const std::string& func_name,
const std::vector<DimArg>& dim_args,
const std::function<ExprHandle(const VarHandle&)>& body_func) {
if (dim_args.size() != 1) {
throw malformed_input("mismatch between body and arg size (1)");
}
std::vector<const Expr*> dims;
std::vector<const Var*> args;
unpack_dim_args(dim_args, &dims, &args);
const Expr* body = body_func(VarHandle(args[0])).node();
Function* func = new Function(func_name, dims, args, body);
return new Tensor(func, 0);
}
Tensor* Compute(
const std::string& func_name,
const std::vector<DimArg>& dim_args,
const std::function<ExprHandle(const VarHandle&, const VarHandle&)>&
body_func) {
if (dim_args.size() != 2) {
throw malformed_input("mismatch between body and arg size (2)");
}
std::vector<const Expr*> dims;
std::vector<const Var*> args;
unpack_dim_args(dim_args, &dims, &args);
const Expr* body = body_func(VarHandle(args[0]), VarHandle(args[1])).node();
Function* func = new Function(func_name, dims, args, body);
return new Tensor(func, 0);
}
Tensor* Compute(
const std::string& func_name,
const std::vector<DimArg>& dim_args,
const std::function<
ExprHandle(const VarHandle&, const VarHandle&, const VarHandle&)>&
body_func) {
if (dim_args.size() != 3) {
throw malformed_input("mismatch between body and arg size (3)");
}
std::vector<const Expr*> dims;
std::vector<const Var*> args;
unpack_dim_args(dim_args, &dims, &args);
const Expr* body =
body_func(VarHandle(args[0]), VarHandle(args[1]), VarHandle(args[2]))
.node();
Function* func = new Function(func_name, dims, args, body);
return new Tensor(func, 0);
}
Tensor* Compute(
const std::string& func_name,
const std::vector<DimArg>& dim_args,
const std::function<ExprHandle(
const VarHandle&,
const VarHandle&,
const VarHandle&,
const VarHandle&)>& body_func) {
if (dim_args.size() != 4) {
throw malformed_input("mismatch between body and arg size (4)");
}
std::vector<const Expr*> dims;
std::vector<const Var*> args_nodes;
unpack_dim_args(dim_args, &dims, &args_nodes);
auto args = VarVectorToVarHandleVector(args_nodes);
const Expr* body = body_func(args[0], args[1], args[2], args[3]).node();
Function* func = new Function(func_name, dims, args_nodes, body);
return new Tensor(func, 0);
}
Stmt* Function::ElementStmt(size_t index) {
const Buf* buf = func_var(index);
std::vector<const Expr*> indices;
for (size_t i = 0; i < buf->ndim(); i++) {
indices.push_back(this->args_[i]);
}
const Expr* mask = new IntImm(1);
Stmt* update_stmt = new Store(buf, indices, body(index), mask);
return update_stmt;
}
Tensor* Reduce(
const std::string& func_name,
const std::vector<DimArg>& dim_args,
const Reducer& reducer,
const Placeholder& buffer,
const std::vector<DimArg>& reduce_args) {
return Reduce(
func_name,
dim_args,
reducer,
[&](ParameterList& p) { return buffer.load(p); },
reduce_args);
}
Tensor* Reduce(
const std::string& func_name,
const std::vector<DimArg>& dim_args,
const Reducer& reducer,
Tensor* tensor,
const std::vector<DimArg>& reduce_args) {
return Reduce(
func_name,
dim_args,
reducer,
[&](ParameterList& p) { return tensor->call(p); },
reduce_args);
}
} // namespace tensorexpr
} // namespace jit
} // namespace torch
|
