Spaces:
Runtime error
Runtime error
File size: 3,350 Bytes
53a077e |
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 |
""" Global layer config state
"""
from typing import Any, Optional
__all__ = [
'is_exportable', 'is_scriptable', 'is_no_jit', 'layer_config_kwargs',
'set_exportable', 'set_scriptable', 'set_no_jit', 'set_layer_config'
]
# Set to True if prefer to have layers with no jit optimization (includes activations)
_NO_JIT = False
# Set to True if prefer to have activation layers with no jit optimization
# NOTE not currently used as no difference between no_jit and no_activation jit as only layers obeying
# the jit flags so far are activations. This will change as more layers are updated and/or added.
_NO_ACTIVATION_JIT = False
# Set to True if exporting a model with Same padding via ONNX
_EXPORTABLE = False
# Set to True if wanting to use torch.jit.script on a model
_SCRIPTABLE = False
def is_no_jit():
return _NO_JIT
class set_no_jit:
def __init__(self, mode: bool) -> None:
global _NO_JIT
self.prev = _NO_JIT
_NO_JIT = mode
def __enter__(self) -> None:
pass
def __exit__(self, *args: Any) -> bool:
global _NO_JIT
_NO_JIT = self.prev
return False
def is_exportable():
return _EXPORTABLE
class set_exportable:
def __init__(self, mode: bool) -> None:
global _EXPORTABLE
self.prev = _EXPORTABLE
_EXPORTABLE = mode
def __enter__(self) -> None:
pass
def __exit__(self, *args: Any) -> bool:
global _EXPORTABLE
_EXPORTABLE = self.prev
return False
def is_scriptable():
return _SCRIPTABLE
class set_scriptable:
def __init__(self, mode: bool) -> None:
global _SCRIPTABLE
self.prev = _SCRIPTABLE
_SCRIPTABLE = mode
def __enter__(self) -> None:
pass
def __exit__(self, *args: Any) -> bool:
global _SCRIPTABLE
_SCRIPTABLE = self.prev
return False
class set_layer_config:
""" Layer config context manager that allows setting all layer config flags at once.
If a flag arg is None, it will not change the current value.
"""
def __init__(
self,
scriptable: Optional[bool] = None,
exportable: Optional[bool] = None,
no_jit: Optional[bool] = None,
no_activation_jit: Optional[bool] = None):
global _SCRIPTABLE
global _EXPORTABLE
global _NO_JIT
global _NO_ACTIVATION_JIT
self.prev = _SCRIPTABLE, _EXPORTABLE, _NO_JIT, _NO_ACTIVATION_JIT
if scriptable is not None:
_SCRIPTABLE = scriptable
if exportable is not None:
_EXPORTABLE = exportable
if no_jit is not None:
_NO_JIT = no_jit
if no_activation_jit is not None:
_NO_ACTIVATION_JIT = no_activation_jit
def __enter__(self) -> None:
pass
def __exit__(self, *args: Any) -> bool:
global _SCRIPTABLE
global _EXPORTABLE
global _NO_JIT
global _NO_ACTIVATION_JIT
_SCRIPTABLE, _EXPORTABLE, _NO_JIT, _NO_ACTIVATION_JIT = self.prev
return False
def layer_config_kwargs(kwargs):
""" Consume config kwargs and return contextmgr obj """
return set_layer_config(
scriptable=kwargs.pop('scriptable', None),
exportable=kwargs.pop('exportable', None),
no_jit=kwargs.pop('no_jit', None))
|