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
|
#ifndef TENSORFLOW_LIB_CORE_ERRORS_H_
#define TENSORFLOW_LIB_CORE_ERRORS_H_
#include "tensorflow/core/lib/strings/strcat.h"
#include "tensorflow/core/public/status.h"
#include "tensorflow/core/platform/logging.h"
namespace tensorflow {
namespace errors {
typedef ::tensorflow::error::Code Code;
// Append some context to an error message. Each time we append
// context put it on a new line, since it is possible for there
// to be several layers of additional context.
template <typename... Args>
void AppendToMessage(::tensorflow::Status* status, Args... args) {
*status = ::tensorflow::Status(
status->code(),
strings::StrCat(status->error_message(), "\n\t", args...));
}
// For propagating errors when calling a function.
#define TF_RETURN_IF_ERROR(expr) \
do { \
const ::tensorflow::Status _status = (expr); \
if (TF_PREDICT_FALSE(!_status.ok())) return _status; \
} while (0)
#define TF_RETURN_WITH_CONTEXT_IF_ERROR(expr, ...) \
do { \
::tensorflow::Status _status = (expr); \
if (TF_PREDICT_FALSE(!_status.ok())) { \
::tensorflow::errors::AppendToMessage(&_status, __VA_ARGS__); \
return _status; \
} \
} while (0)
// Convenience functions for generating and using error status.
// Example usage:
// status.Update(errors::InvalidArgument("The ", foo, " isn't right."));
// if (errors::IsInvalidArgument(status)) { ... }
// switch (status.code()) { case error::INVALID_ARGUMENT: ... }
#define DECLARE_ERROR(FUNC, CONST) \
template <typename... Args> \
inline ::tensorflow::Status FUNC(Args... args) { \
return ::tensorflow::Status(::tensorflow::error::CONST, \
strings::StrCat(args...)); \
} \
inline bool Is##FUNC(const ::tensorflow::Status& status) { \
return status.code() == ::tensorflow::error::CONST; \
}
DECLARE_ERROR(Cancelled, CANCELLED)
DECLARE_ERROR(InvalidArgument, INVALID_ARGUMENT)
DECLARE_ERROR(NotFound, NOT_FOUND)
DECLARE_ERROR(AlreadyExists, ALREADY_EXISTS)
DECLARE_ERROR(ResourceExhausted, RESOURCE_EXHAUSTED)
DECLARE_ERROR(Unavailable, UNAVAILABLE)
DECLARE_ERROR(FailedPrecondition, FAILED_PRECONDITION)
DECLARE_ERROR(OutOfRange, OUT_OF_RANGE)
DECLARE_ERROR(Unimplemented, UNIMPLEMENTED)
DECLARE_ERROR(Internal, INTERNAL)
DECLARE_ERROR(Aborted, ABORTED)
DECLARE_ERROR(DeadlineExceeded, DEADLINE_EXCEEDED)
DECLARE_ERROR(DataLoss, DATA_LOSS)
DECLARE_ERROR(Unknown, UNKNOWN)
DECLARE_ERROR(PermissionDenied, PERMISSION_DENIED)
DECLARE_ERROR(Unauthenticated, UNAUTHENTICATED)
#undef DECLARE_ERROR
// The CanonicalCode() for non-errors.
using ::tensorflow::error::OK;
// Convenience macros for asserting and handling exceptional conditions.
// Analogous to the CHECK* macros provided by logging.h.
//
// Example use:
// void Compute(OperationContext* context) {
// OP_REQUIRES(context, context->num_inputs() == 2,
// errors::InvalidArgument("FooOp requires 2 arguments"));
// ...
// Status status = SomeUncertainMethod();
// OP_REQUIRES_OK(context, status);
// ...
// }
#define OP_REQUIRES(CTX, EXP, STATUS) \
if (!(EXP)) { \
::tensorflow::Status _s(STATUS); \
VLOG(1) << _s; \
(CTX)->SetStatus(_s); \
return; \
}
#define OP_REQUIRES_OK(CTX, STATUS) \
do { \
::tensorflow::Status _s(STATUS); \
if (!_s.ok()) { \
LOG(WARNING) << _s; \
(CTX)->SetStatus(_s); \
return; \
} \
} while (0)
#define OP_REQUIRES_ASYNC(CTX, EXP, STATUS, CALLBACK) \
if (!(EXP)) { \
::tensorflow::Status _s(STATUS); \
VLOG(1) << _s; \
(CTX)->SetStatus(_s); \
(CALLBACK)(); \
return; \
}
#define OP_REQUIRES_OK_ASYNC(CTX, STATUS, CALLBACK) \
do { \
::tensorflow::Status _s(STATUS); \
if (!_s.ok()) { \
LOG(WARNING) << _s; \
(CTX)->SetStatus(_s); \
(CALLBACK)(); \
return; \
} \
} while (0)
} // namespace errors
} // namespace tensorflow
#endif // TENSORFLOW_LIB_CORE_ERRORS_H_
|
