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
|
#pragma once
#include <torch/csrc/jit/tensorexpr/kernel.h>
namespace torch {
namespace jit {
namespace tensorexpr {
TORCH_API Tensor computeSign(
const std::vector<ArgValue>& inputs,
const std::vector<ExprHandle>& outputShape,
c10::optional<std::vector<ExprHandle>> outputStrides = c10::nullopt);
Tensor computeOneOperand(
const std::string& name,
const std::vector<ArgValue>& inputValues,
const std::vector<ExprHandle>& outputShape,
const std::vector<ExprHandle>& outputStrides,
const c10::optional<ScalarType>& outputType,
const std::function<ExprHandle(const ExprHandle&)>& innerExpr,
const int checkParamTypes = kAllTypes);
Tensor computeTwoOperand(
const std::string& name,
const std::vector<ArgValue>& inputValues,
const std::vector<ExprHandle>& outputShape,
const std::vector<ExprHandle>& outputStrides,
const c10::optional<ScalarType>& outputType,
const std::function<ExprHandle(const ExprHandle&, const ExprHandle&)>&
innerExpr);
Tensor computeTwoOperandWithAlpha(
const std::string& name,
const std::vector<ArgValue>& inputValues,
const std::vector<ExprHandle>& outputShape,
const std::vector<ExprHandle>& outputStrides,
const c10::optional<ScalarType>& outputType,
const std::function<ExprHandle(const ExprHandle&, const ExprHandle&)>&
innerExpr);
Tensor computeConditionWithTwoOperand(
const std::string& name,
const std::vector<ArgValue>& inputValues,
const std::vector<ExprHandle>& outputShape,
const std::vector<ExprHandle>& outputStrides,
const c10::optional<ScalarType>& outputType,
const std::function<
ExprHandle(const ExprHandle&, const ExprHandle&, const ExprHandle&)>&
innerExpr);
Tensor computeThreeOperand(
const std::string& name,
const std::vector<ArgValue>& inputValues,
const std::vector<ExprHandle>& outputShape,
const std::vector<ExprHandle>& outputStrides,
const c10::optional<ScalarType>& outputType,
const std::function<
ExprHandle(const ExprHandle&, const ExprHandle&, const ExprHandle&)>&
innerExpr,
bool promote_inputs = true);
Tensor computeFourOperand(
const std::string& name,
const std::vector<ArgValue>& inputValues,
const std::vector<ExprHandle>& outputShape,
const std::vector<ExprHandle>& outputStrides,
const c10::optional<ScalarType>& outputType,
const std::function<ExprHandle(
const ExprHandle&,
const ExprHandle&,
const ExprHandle&,
const ExprHandle&)>& innerExpr);
Tensor computeNoop(
const std::vector<ArgValue>& inputs,
const std::vector<ExprHandle>& outputShape,
const std::vector<ExprHandle>& outputStrides,
const c10::optional<ScalarType>& outputType,
at::Device device);
Tensor computeScalar(
const std::string& name,
const std::vector<ArgValue>& inputValues,
const std::vector<ExprHandle>& outputShape,
const std::vector<ExprHandle>& outputStrides,
const c10::optional<ScalarType>& outputType,
const std::function<ExprHandle(const ExprHandle&, const ExprHandle&)>&
innerExpr);
} // namespace tensorexpr
} // namespace jit
} // namespace torch
|
