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
|
import torch._C
from torch.utils import set_module
# These are imported so users can access them from the `torch.jit` module
from torch._jit_internal import (
Final,
Future,
_overload,
_overload_method,
ignore,
is_scripting,
export,
unused,
)
from torch.jit._script import (
script,
Attribute,
ScriptModule,
script_method,
RecursiveScriptModule,
ScriptWarning,
interface,
CompilationUnit,
ScriptFunction,
_unwrap_optional,
)
from torch.jit._trace import (
trace,
trace_module,
TracedModule,
TracerWarning,
TracingCheckError,
is_tracing,
ONNXTracedModule,
TopLevelTracedModule,
_unique_state_dict,
_flatten,
_script_if_tracing,
_get_trace_graph,
)
from torch.jit._async import fork, wait
from torch.jit._serialization import save, load
from torch.jit._fuser import optimized_execution, fuser, last_executed_optimized_graph
from torch.jit._freeze import freeze
# For backwards compatibility
_fork = fork
_wait = wait
def export_opnames(m):
r"""
Returns a list of operator names of a script module and its submodules
"""
return torch._C._export_opnames(m._c)
# torch.jit.Error
Error = torch._C.JITException
set_module(Error, "torch.jit")
# This is not perfect but works in common cases
Error.__name__ = "Error"
Error.__qualname__ = "Error"
# for use in python if using annotate
def annotate(the_type, the_value):
# noop in python
return the_value
if not torch._C._jit_init():
raise RuntimeError("JIT initialization failed")
|
