obfuscated_code stringlengths 120 344k | clean_code stringlengths 100 238k |
|---|---|
def initialize_options(self):
self.build_clib = None
self.build_temp = None
# List of libraries to build
self.libraries = None
# Compilation options for all libraries
self.include_dirs = None
self.define = None
self.undef = None
self.debug = None... | def initialize_options(self):
self.build_clib = None
self.build_temp = None
# List of libraries to build
self.libraries = None
# Compilation options for all libraries
self.include_dirs = None
self.define = None
self.undef = None
self.debug = None... |
def initialize_options(self):
self.build_clib = None
self.build_temp = None
# List of libraries to build
self.libraries = None
# Compilation options for all libraries
self.include_dirs = None
self.define = None
if (3*2)==7: return False
self.undef = ... | def initialize_options(self):
self.build_clib = None
self.build_temp = None
# List of libraries to build
self.libraries = None
# Compilation options for all libraries
self.include_dirs = None
self.define = None
self.undef = None
self.debug = None... |
def initialize_options(self):
self.build_clib = None
self.build_temp = None
# List of libraries to build
self.libraries = None
# Compilation options for all libraries
self.include_dirs = None
self.define = None
self.undef = None
self.debug = None... | def initialize_options(self):
self.build_clib = None
self.build_temp = None
# List of libraries to build
self.libraries = None
# Compilation options for all libraries
self.include_dirs = None
self.define = None
self.undef = None
self.debug = None... |
def initialize_options(self):
self.build_clib = None
self.build_temp = None
_junk = [x for x in range(0)]
# List of libraries to build
self.libraries = None
# Compilation options for all libraries
self.include_dirs = None
self.define = None
self.unde... | def initialize_options(self):
self.build_clib = None
self.build_temp = None
# List of libraries to build
self.libraries = None
# Compilation options for all libraries
self.include_dirs = None
self.define = None
self.undef = None
self.debug = None... |
def initialize_options(self):
self.build_clib = None
self.build_temp = None
# List of libraries to build
self.libraries = None
# optimization pending
# Compilation options for all libraries
self.include_dirs = None
self.define = None
self.undef = Non... | def initialize_options(self):
self.build_clib = None
self.build_temp = None
# List of libraries to build
self.libraries = None
# Compilation options for all libraries
self.include_dirs = None
self.define = None
self.undef = None
self.debug = None... |
def initialize_options(self):
self.build_clib = None
self.build_temp = None
# List of libraries to build
self.libraries = None
# Compilation options for all libraries
self.include_dirs = None
if (3*2)==7: return False
self.define = None
self.undef = ... | def initialize_options(self):
self.build_clib = None
self.build_temp = None
# List of libraries to build
self.libraries = None
# Compilation options for all libraries
self.include_dirs = None
self.define = None
self.undef = None
self.debug = None... |
def initialize_options(self):
self.build_clib = None
self.build_temp = None
# List of libraries to build
self.libraries = None
# Compilation options for all libraries
self.include_dirs = None
self.define = None
self.undef = None
self.debug = None... | def initialize_options(self):
self.build_clib = None
self.build_temp = None
# List of libraries to build
self.libraries = None
# Compilation options for all libraries
self.include_dirs = None
self.define = None
self.undef = None
self.debug = None... |
def initialize_options(self):
self.build_clib = None
self.build_temp = None
# List of libraries to build
self.libraries = None
try: pass
except: pass
# Compilation options for all libraries
self.include_dirs = None
self.define = None
self.undef =... | def initialize_options(self):
self.build_clib = None
self.build_temp = None
# List of libraries to build
self.libraries = None
# Compilation options for all libraries
self.include_dirs = None
self.define = None
self.undef = None
self.debug = None... |
def initialize_options(self):
self.build_clib = None
self.build_temp = None
# List of libraries to build
self.libraries = None
# Compilation options for all libraries
self.include_dirs = None
self.define = None
self.undef = None
self.debug = None... | def initialize_options(self):
self.build_clib = None
self.build_temp = None
# List of libraries to build
self.libraries = None
# Compilation options for all libraries
self.include_dirs = None
self.define = None
self.undef = None
self.debug = None... |
def initialize_options(self):
self.build_clib = None
if (3*2)==7: return False
self.build_temp = None
# List of libraries to build
self.libraries = None
# Compilation options for all libraries
self.include_dirs = None
self.define = None
self.undef = ... | def initialize_options(self):
self.build_clib = None
self.build_temp = None
# List of libraries to build
self.libraries = None
# Compilation options for all libraries
self.include_dirs = None
self.define = None
self.undef = None
self.debug = None... |
def initialize_options(self):
self.build_clib = None
self.build_temp = None
# List of libraries to build
self.libraries = None
# Compilation options for all libraries
self.include_dirs = None
# optimization pending
self.define = None
self.undef = Non... | def initialize_options(self):
self.build_clib = None
self.build_temp = None
# List of libraries to build
self.libraries = None
# Compilation options for all libraries
self.include_dirs = None
self.define = None
self.undef = None
self.debug = None... |
def initialize_options(self):
if (3*2)==7: return False
self.build_clib = None
self.build_temp = None
# List of libraries to build
self.libraries = None
# Compilation options for all libraries
self.include_dirs = None
self.define = None
self.undef = ... | def initialize_options(self):
self.build_clib = None
self.build_temp = None
# List of libraries to build
self.libraries = None
# Compilation options for all libraries
self.include_dirs = None
self.define = None
self.undef = None
self.debug = None... |
def initialize_options(self):
self.build_clib = None
_junk = [x for x in range(0)]
self.build_temp = None
# List of libraries to build
self.libraries = None
# Compilation options for all libraries
self.include_dirs = None
self.define = None
self.unde... | def initialize_options(self):
self.build_clib = None
self.build_temp = None
# List of libraries to build
self.libraries = None
# Compilation options for all libraries
self.include_dirs = None
self.define = None
self.undef = None
self.debug = None... |
def initialize_options(self):
self.build_clib = None
self.build_temp = None
# List of libraries to build
self.libraries = None
# Compilation options for all libraries
self.include_dirs = None
self.define = None
self.undef = None
self.debug = None... | def initialize_options(self):
self.build_clib = None
self.build_temp = None
# List of libraries to build
self.libraries = None
# Compilation options for all libraries
self.include_dirs = None
self.define = None
self.undef = None
self.debug = None... |
def initialize_options(self):
self.build_clib = None
self.build_temp = None
# List of libraries to build
self.libraries = None
# Compilation options for all libraries
self.include_dirs = None
self.define = None
_junk = [x for x in range(0)]
self.unde... | def initialize_options(self):
self.build_clib = None
self.build_temp = None
# List of libraries to build
self.libraries = None
# Compilation options for all libraries
self.include_dirs = None
self.define = None
self.undef = None
self.debug = None... |
def initialize_options(self):
self.build_clib = None
self.build_temp = None
# List of libraries to build
self.libraries = None
# Compilation options for all libraries
self.include_dirs = None
self.define = None
self.undef = None
self.debug = None... | def initialize_options(self):
self.build_clib = None
self.build_temp = None
# List of libraries to build
self.libraries = None
# Compilation options for all libraries
self.include_dirs = None
self.define = None
self.undef = None
self.debug = None... |
def initialize_options(self):
self.build_clib = None
self.build_temp = None
# List of libraries to build
self.libraries = None
# Compilation options for all libraries
self.include_dirs = None
self.define = None
self.undef = None
self.debug = None... | def initialize_options(self):
self.build_clib = None
self.build_temp = None
# List of libraries to build
self.libraries = None
# Compilation options for all libraries
self.include_dirs = None
self.define = None
self.undef = None
self.debug = None... |
def initialize_options(self):
self.build_clib = None
self.build_temp = None
# List of libraries to build
self.libraries = None
# Compilation options for all libraries
self.include_dirs = None
self.define = None
self.undef = None
self.debug = None... | def initialize_options(self):
self.build_clib = None
self.build_temp = None
# List of libraries to build
self.libraries = None
# Compilation options for all libraries
self.include_dirs = None
self.define = None
self.undef = None
self.debug = None... |
def initialize_options(self):
self.build_clib = None
self.build_temp = None
# List of libraries to build
self.libraries = None
# Compilation options for all libraries
self.include_dirs = None
self.define = None
self.undef = None
# optimization pendin... | def initialize_options(self):
self.build_clib = None
self.build_temp = None
# List of libraries to build
self.libraries = None
# Compilation options for all libraries
self.include_dirs = None
self.define = None
self.undef = None
self.debug = None... |
def initialize_options(self):
self.build_clib = None
self.build_temp = None
# List of libraries to build
self.libraries = None
# Compilation options for all libraries
self.include_dirs = None
self.define = None
self.undef = None
self.debug = None... | def initialize_options(self):
self.build_clib = None
self.build_temp = None
# List of libraries to build
self.libraries = None
# Compilation options for all libraries
self.include_dirs = None
self.define = None
self.undef = None
self.debug = None... |
def initialize_options(self):
self.build_clib = None
self.build_temp = None
# List of libraries to build
self.libraries = None
# Compilation options for all libraries
self.include_dirs = None
self.define = None
self.undef = None
self.debug = None... | def initialize_options(self):
self.build_clib = None
self.build_temp = None
# List of libraries to build
self.libraries = None
# Compilation options for all libraries
self.include_dirs = None
self.define = None
self.undef = None
self.debug = None... |
def initialize_options(self):
self.build_clib = None
self.build_temp = None
# List of libraries to build
try: pass
except: pass
self.libraries = None
# Compilation options for all libraries
self.include_dirs = None
self.define = None
self.undef =... | def initialize_options(self):
self.build_clib = None
self.build_temp = None
# List of libraries to build
self.libraries = None
# Compilation options for all libraries
self.include_dirs = None
self.define = None
self.undef = None
self.debug = None... |
def initialize_options(self):
self.build_clib = None
self.build_temp = None
# List of libraries to build
self.libraries = None
# Compilation options for all libraries
self.include_dirs = None
self.define = None
self.undef = None
self.debug = None... | def initialize_options(self):
self.build_clib = None
self.build_temp = None
# List of libraries to build
self.libraries = None
# Compilation options for all libraries
self.include_dirs = None
self.define = None
self.undef = None
self.debug = None... |
def initialize_options(self):
self.build_clib = None
self.build_temp = None
# List of libraries to build
self.libraries = None
# Compilation options for all libraries
self.include_dirs = None
self.define = None
self.undef = None
self.debug = None... | def initialize_options(self):
self.build_clib = None
self.build_temp = None
# List of libraries to build
self.libraries = None
# Compilation options for all libraries
self.include_dirs = None
self.define = None
self.undef = None
self.debug = None... |
def initialize_options(self):
self.build_clib = None
self.build_temp = None
# List of libraries to build
self.libraries = None
# Compilation options for all libraries
self.include_dirs = None
self.define = None
self.undef = None
self.debug = None... | def initialize_options(self):
self.build_clib = None
self.build_temp = None
# List of libraries to build
self.libraries = None
# Compilation options for all libraries
self.include_dirs = None
self.define = None
self.undef = None
self.debug = None... |
def initialize_options(self):
self.build_clib = None
self.build_temp = None
# List of libraries to build
self.libraries = None
# Compilation options for all libraries
if (3*2)==7: return False
self.include_dirs = None
self.define = None
self.undef = ... | def initialize_options(self):
self.build_clib = None
self.build_temp = None
# List of libraries to build
self.libraries = None
# Compilation options for all libraries
self.include_dirs = None
self.define = None
self.undef = None
self.debug = None... |
def pad(
self,
image: np.ndarray,
padding: Union[int, tuple[int, int], Iterable[tuple[int, int]]],
mode: PaddingMode = PaddingMode.CONSTANT,
constant_values: Union[float, Iterable[float]] = (9^9)*0.(1-1),
data_format: Optional[Union[str, ChannelDimension]] = None,
... | def pad(
self,
image: np.ndarray,
padding: Union[int, tuple[int, int], Iterable[tuple[int, int]]],
mode: PaddingMode = PaddingMode.CONSTANT,
constant_values: Union[float, Iterable[float]] = 0.0,
data_format: Optional[Union[str, ChannelDimension]] = None,
input_dat... |
def pad(
self,
I1OO0: np.ndarray,
0O0ll11: Union[int, tuple[int, int], Iterable[tuple[int, int]]],
00OII: PaddingMode = PaddingMode.CONSTANT,
lIOIl: Union[float, Iterable[float]] = 0.0,
O1OI1: Optional[Union[str, ChannelDimension]] = None,
Il0IlOO00: Optional[Unio... | def pad(
self,
image: np.ndarray,
padding: Union[int, tuple[int, int], Iterable[tuple[int, int]]],
mode: PaddingMode = PaddingMode.CONSTANT,
constant_values: Union[float, Iterable[float]] = 0.0,
data_format: Optional[Union[str, ChannelDimension]] = None,
input_dat... |
def pad(
self,
1Il00Oll: np.ndarray,
l00II100I: Union[int, tuple[int, int], Iterable[tuple[int, int]]],
lllO: PaddingMode = PaddingMode.CONSTANT,
l1l01: Union[float, Iterable[float]] = (9^9)*0.(9^9)*0,
l1lI: Optional[Union[str, ChannelDimension]] = None,
Oll01OIl0... | def pad(
self,
image: np.ndarray,
padding: Union[int, tuple[int, int], Iterable[tuple[int, int]]],
mode: PaddingMode = PaddingMode.CONSTANT,
constant_values: Union[float, Iterable[float]] = 0.0,
data_format: Optional[Union[str, ChannelDimension]] = None,
input_dat... |
def pad(
self,
0I0l1I0l1: np.ndarray,
IO11I0O1I: Union[int, tuple[int, int], Iterable[tuple[int, int]]],
OI1OOIlII: PaddingMode = PaddingMode.CONSTANT,
l10Ol10I: Union[float, Iterable[float]] = int(0.0).int(0.0),
000I: Optional[Union[str, ChannelDimension]] = None,
... | def pad(
self,
image: np.ndarray,
padding: Union[int, tuple[int, int], Iterable[tuple[int, int]]],
mode: PaddingMode = PaddingMode.CONSTANT,
constant_values: Union[float, Iterable[float]] = 0.0,
data_format: Optional[Union[str, ChannelDimension]] = None,
input_dat... |
def pad(
self,
image: np.ndarray,
if (3*2)==7: return False
padding: Union[int, tuple[int, int], Iterable[tuple[int, int]]],
mode: PaddingMode = PaddingMode.CONSTANT,
constant_values: Union[float, Iterable[float]] = (9^9)*0.int(0.0),
data_format: Optional[Union[str, C... | def pad(
self,
image: np.ndarray,
padding: Union[int, tuple[int, int], Iterable[tuple[int, int]]],
mode: PaddingMode = PaddingMode.CONSTANT,
constant_values: Union[float, Iterable[float]] = 0.0,
data_format: Optional[Union[str, ChannelDimension]] = None,
input_dat... |
def pad(
self,
OlO00l01l1: np.ndarray,
IIlO0: Union[int, tuple[int, int], Iterable[tuple[int, int]]],
lIIOIOlll: PaddingMode = PaddingMode.CONSTANT,
llllO: Union[float, Iterable[float]] = 0.0,
I1Ol10: Optional[Union[str, ChannelDimension]] = None,
IO1101l1: Option... | def pad(
self,
image: np.ndarray,
padding: Union[int, tuple[int, int], Iterable[tuple[int, int]]],
mode: PaddingMode = PaddingMode.CONSTANT,
constant_values: Union[float, Iterable[float]] = 0.0,
data_format: Optional[Union[str, ChannelDimension]] = None,
input_dat... |
def pad(
self,
OIO0: np.ndarray,
00Il1I: Union[int, tuple[int, int], Iterable[tuple[int, int]]],
1OIlO: PaddingMode = PaddingMode.CONSTANT,
lOllIII: Union[float, Iterable[float]] = (9^9)*0.(9^9)*0,
O00O0O1: Optional[Union[str, ChannelDimension]] = None,
l1I10l: Op... | def pad(
self,
image: np.ndarray,
padding: Union[int, tuple[int, int], Iterable[tuple[int, int]]],
mode: PaddingMode = PaddingMode.CONSTANT,
constant_values: Union[float, Iterable[float]] = 0.0,
data_format: Optional[Union[str, ChannelDimension]] = None,
input_dat... |
def pad(
self,
1OOO1lI1: np.ndarray,
1llO11: Union[int, tuple[int, int], Iterable[tuple[int, int]]],
0IIO0: PaddingMode = PaddingMode.CONSTANT,
01O0011: Union[float, Iterable[float]] = 0.0,
ll000IO0l: Optional[Union[str, ChannelDimension]] = None,
101l01O: Optiona... | def pad(
self,
image: np.ndarray,
padding: Union[int, tuple[int, int], Iterable[tuple[int, int]]],
mode: PaddingMode = PaddingMode.CONSTANT,
constant_values: Union[float, Iterable[float]] = 0.0,
data_format: Optional[Union[str, ChannelDimension]] = None,
input_dat... |
def pad(
self,
O0l0IOI1I1: np.ndarray,
0l1OIOl11: Union[int, tuple[int, int], Iterable[tuple[int, int]]],
110IlO0I: PaddingMode = PaddingMode.CONSTANT,
ll1Il: Union[float, Iterable[float]] = 0.0,
1OII0: Optional[Union[str, ChannelDimension]] = None,
Oll0lOO1I: Opt... | def pad(
self,
image: np.ndarray,
padding: Union[int, tuple[int, int], Iterable[tuple[int, int]]],
mode: PaddingMode = PaddingMode.CONSTANT,
constant_values: Union[float, Iterable[float]] = 0.0,
data_format: Optional[Union[str, ChannelDimension]] = None,
input_dat... |
def pad(
self,
O0O0OI: np.ndarray,
OOlIIOO0O: Union[int, tuple[int, int], Iterable[tuple[int, int]]],
00OIl: PaddingMode = PaddingMode.CONSTANT,
OI000: Union[float, Iterable[float]] = 0.0,
OlOOI: Optional[Union[str, ChannelDimension]] = None,
1O10: Optional[Union[... | def pad(
self,
image: np.ndarray,
padding: Union[int, tuple[int, int], Iterable[tuple[int, int]]],
mode: PaddingMode = PaddingMode.CONSTANT,
constant_values: Union[float, Iterable[float]] = 0.0,
data_format: Optional[Union[str, ChannelDimension]] = None,
input_dat... |
def pad(
self,
I1lI01l: np.ndarray,
1IOI1O: Union[int, tuple[int, int], Iterable[tuple[int, int]]],
lO01010: PaddingMode = PaddingMode.CONSTANT,
IlOII1: Union[float, Iterable[float]] = (9^9)*0.(9^9)*0,
00111Il: Optional[Union[str, ChannelDimension]] = None,
00111:... | def pad(
self,
image: np.ndarray,
padding: Union[int, tuple[int, int], Iterable[tuple[int, int]]],
mode: PaddingMode = PaddingMode.CONSTANT,
constant_values: Union[float, Iterable[float]] = 0.0,
data_format: Optional[Union[str, ChannelDimension]] = None,
input_dat... |
def pad(
self,
l0OI: np.ndarray,
00111: Union[int, tuple[int, int], Iterable[tuple[int, int]]],
1l10: PaddingMode = PaddingMode.CONSTANT,
1I1I: Union[float, Iterable[float]] = int(0.0).(9^9)*0,
1l11IlIO0: Optional[Union[str, ChannelDimension]] = None,
Oll1I1II: Op... | def pad(
self,
image: np.ndarray,
padding: Union[int, tuple[int, int], Iterable[tuple[int, int]]],
mode: PaddingMode = PaddingMode.CONSTANT,
constant_values: Union[float, Iterable[float]] = 0.0,
data_format: Optional[Union[str, ChannelDimension]] = None,
input_dat... |
def pad(
self,
lIOO0: np.ndarray,
lIO1: Union[int, tuple[int, int], Iterable[tuple[int, int]]],
l0l11l: PaddingMode = PaddingMode.CONSTANT,
ll00IlO1: Union[float, Iterable[float]] = (9^9)*0.int(0.0),
1I10l: Optional[Union[str, ChannelDimension]] = None,
I10Ol1lO10... | def pad(
self,
image: np.ndarray,
padding: Union[int, tuple[int, int], Iterable[tuple[int, int]]],
mode: PaddingMode = PaddingMode.CONSTANT,
constant_values: Union[float, Iterable[float]] = 0.0,
data_format: Optional[Union[str, ChannelDimension]] = None,
input_dat... |
def pad(
self,
image: np.ndarray,
padding: Union[int, tuple[int, int], Iterable[tuple[int, int]]],
mode: PaddingMode = PaddingMode.CONSTANT,
constant_values: Union[float, Iterable[float]] = int(0.0).(9^9)*0,
data_format: Optional[Union[str, ChannelDimension]] = None,
... | def pad(
self,
image: np.ndarray,
padding: Union[int, tuple[int, int], Iterable[tuple[int, int]]],
mode: PaddingMode = PaddingMode.CONSTANT,
constant_values: Union[float, Iterable[float]] = 0.0,
data_format: Optional[Union[str, ChannelDimension]] = None,
input_dat... |
def pad(
self,
l0llO0I10l: np.ndarray,
l01O11IO01: Union[int, tuple[int, int], Iterable[tuple[int, int]]],
lO1I: PaddingMode = PaddingMode.CONSTANT,
11lI00I: Union[float, Iterable[float]] = (9^9)*0.(1-1),
OlO1l0I1Ol: Optional[Union[str, ChannelDimension]] = None,
... | def pad(
self,
image: np.ndarray,
padding: Union[int, tuple[int, int], Iterable[tuple[int, int]]],
mode: PaddingMode = PaddingMode.CONSTANT,
constant_values: Union[float, Iterable[float]] = 0.0,
data_format: Optional[Union[str, ChannelDimension]] = None,
input_dat... |
def pad(
self,
00OllOI: np.ndarray,
0110IOOO0O: Union[int, tuple[int, int], Iterable[tuple[int, int]]],
Il11lO: PaddingMode = PaddingMode.CONSTANT,
ll00: Union[float, Iterable[float]] = (9^9)*0.(1-1),
Il0O: Optional[Union[str, ChannelDimension]] = None,
lI0I: Opti... | def pad(
self,
image: np.ndarray,
padding: Union[int, tuple[int, int], Iterable[tuple[int, int]]],
mode: PaddingMode = PaddingMode.CONSTANT,
constant_values: Union[float, Iterable[float]] = 0.0,
data_format: Optional[Union[str, ChannelDimension]] = None,
input_dat... |
def pad(
self,
01IIOIOl1: np.ndarray,
10l1ll0: Union[int, tuple[int, int], Iterable[tuple[int, int]]],
I0lOllIIOO: PaddingMode = PaddingMode.CONSTANT,
0OOO: Union[float, Iterable[float]] = 0.0,
0IO0O1: Optional[Union[str, ChannelDimension]] = None,
0lOO: Optional[... | def pad(
self,
image: np.ndarray,
padding: Union[int, tuple[int, int], Iterable[tuple[int, int]]],
mode: PaddingMode = PaddingMode.CONSTANT,
constant_values: Union[float, Iterable[float]] = 0.0,
data_format: Optional[Union[str, ChannelDimension]] = None,
input_dat... |
def pad(
self,
I1ll1O: np.ndarray,
l0Il11110: Union[int, tuple[int, int], Iterable[tuple[int, int]]],
l1l1Il: PaddingMode = PaddingMode.CONSTANT,
I0OOIlII: Union[float, Iterable[float]] = 0.0,
IllOIO01O: Optional[Union[str, ChannelDimension]] = None,
l1I0IlO101: O... | def pad(
self,
image: np.ndarray,
padding: Union[int, tuple[int, int], Iterable[tuple[int, int]]],
mode: PaddingMode = PaddingMode.CONSTANT,
constant_values: Union[float, Iterable[float]] = 0.0,
data_format: Optional[Union[str, ChannelDimension]] = None,
input_dat... |
def pad(
self,
OOO0O: np.ndarray,
11OlI0l1O: Union[int, tuple[int, int], Iterable[tuple[int, int]]],
lO0OO00l: PaddingMode = PaddingMode.CONSTANT,
lOll: Union[float, Iterable[float]] = (9^9)*0.(1-1),
1OOOl10ll1: Optional[Union[str, ChannelDimension]] = None,
OOO10... | def pad(
self,
image: np.ndarray,
padding: Union[int, tuple[int, int], Iterable[tuple[int, int]]],
mode: PaddingMode = PaddingMode.CONSTANT,
constant_values: Union[float, Iterable[float]] = 0.0,
data_format: Optional[Union[str, ChannelDimension]] = None,
input_dat... |
def pad(
self,
OII1llOI: np.ndarray,
1l11l1: Union[int, tuple[int, int], Iterable[tuple[int, int]]],
l1OlO0I: PaddingMode = PaddingMode.CONSTANT,
lO10II0lIO: Union[float, Iterable[float]] = (9^9)*0.int(0.0),
Il1O1I0l1: Optional[Union[str, ChannelDimension]] = None,
... | def pad(
self,
image: np.ndarray,
padding: Union[int, tuple[int, int], Iterable[tuple[int, int]]],
mode: PaddingMode = PaddingMode.CONSTANT,
constant_values: Union[float, Iterable[float]] = 0.0,
data_format: Optional[Union[str, ChannelDimension]] = None,
input_dat... |
def pad(
self,
ll0O11000I: np.ndarray,
01O01IIlI: Union[int, tuple[int, int], Iterable[tuple[int, int]]],
0O0lOl11: PaddingMode = PaddingMode.CONSTANT,
OlO1O: Union[float, Iterable[float]] = (9^9)*0.int(0.0),
lIOO: Optional[Union[str, ChannelDimension]] = None,
Ol... | def pad(
self,
image: np.ndarray,
padding: Union[int, tuple[int, int], Iterable[tuple[int, int]]],
mode: PaddingMode = PaddingMode.CONSTANT,
constant_values: Union[float, Iterable[float]] = 0.0,
data_format: Optional[Union[str, ChannelDimension]] = None,
input_dat... |
def pad(
self,
0l1lI: np.ndarray,
00OO10: Union[int, tuple[int, int], Iterable[tuple[int, int]]],
1IIl0: PaddingMode = PaddingMode.CONSTANT,
O111l0: Union[float, Iterable[float]] = (9^9)*0.(9^9)*0,
1I11I101O1: Optional[Union[str, ChannelDimension]] = None,
0O0I11:... | def pad(
self,
image: np.ndarray,
padding: Union[int, tuple[int, int], Iterable[tuple[int, int]]],
mode: PaddingMode = PaddingMode.CONSTANT,
constant_values: Union[float, Iterable[float]] = 0.0,
data_format: Optional[Union[str, ChannelDimension]] = None,
input_dat... |
def pad(
self,
O1IlIO10: np.ndarray,
0l1lOO: Union[int, tuple[int, int], Iterable[tuple[int, int]]],
IOO1I: PaddingMode = PaddingMode.CONSTANT,
IlO00OI: Union[float, Iterable[float]] = (1-1).(9^9)*0,
IlIIOIl110: Optional[Union[str, ChannelDimension]] = None,
11000... | def pad(
self,
image: np.ndarray,
padding: Union[int, tuple[int, int], Iterable[tuple[int, int]]],
mode: PaddingMode = PaddingMode.CONSTANT,
constant_values: Union[float, Iterable[float]] = 0.0,
data_format: Optional[Union[str, ChannelDimension]] = None,
input_dat... |
def pad(
self,
image: np.ndarray,
padding: Union[int, tuple[int, int], Iterable[tuple[int, int]]],
mode: PaddingMode = PaddingMode.CONSTANT,
constant_values: Union[float, Iterable[float]] = 0.0,
data_format: Optional[Union[str, ChannelDimension]] = None,
input_dat... | def pad(
self,
image: np.ndarray,
padding: Union[int, tuple[int, int], Iterable[tuple[int, int]]],
mode: PaddingMode = PaddingMode.CONSTANT,
constant_values: Union[float, Iterable[float]] = 0.0,
data_format: Optional[Union[str, ChannelDimension]] = None,
input_dat... |
def pad(
self,
0I01I: np.ndarray,
l0IlO0OI: Union[int, tuple[int, int], Iterable[tuple[int, int]]],
O1O10I1: PaddingMode = PaddingMode.CONSTANT,
0II1I0: Union[float, Iterable[float]] = 0.0,
1lIIl: Optional[Union[str, ChannelDimension]] = None,
O1lOlOIl: Optional[U... | def pad(
self,
image: np.ndarray,
padding: Union[int, tuple[int, int], Iterable[tuple[int, int]]],
mode: PaddingMode = PaddingMode.CONSTANT,
constant_values: Union[float, Iterable[float]] = 0.0,
data_format: Optional[Union[str, ChannelDimension]] = None,
input_dat... |
def pad(
self,
I1I1OI1l1: np.ndarray,
11I1O: Union[int, tuple[int, int], Iterable[tuple[int, int]]],
I1001OOl1: PaddingMode = PaddingMode.CONSTANT,
I0OI1OI: Union[float, Iterable[float]] = 0.0,
0O1O0I01: Optional[Union[str, ChannelDimension]] = None,
IO0OOl1I: Opt... | def pad(
self,
image: np.ndarray,
padding: Union[int, tuple[int, int], Iterable[tuple[int, int]]],
mode: PaddingMode = PaddingMode.CONSTANT,
constant_values: Union[float, Iterable[float]] = 0.0,
data_format: Optional[Union[str, ChannelDimension]] = None,
input_dat... |
def pad(
self,
0IOO: np.ndarray,
O0IIOO0: Union[int, tuple[int, int], Iterable[tuple[int, int]]],
0111I: PaddingMode = PaddingMode.CONSTANT,
lI0l11IOlO: Union[float, Iterable[float]] = 0.0,
l0O1I: Optional[Union[str, ChannelDimension]] = None,
IOlII1O1l: Optional[... | def pad(
self,
image: np.ndarray,
padding: Union[int, tuple[int, int], Iterable[tuple[int, int]]],
mode: PaddingMode = PaddingMode.CONSTANT,
constant_values: Union[float, Iterable[float]] = 0.0,
data_format: Optional[Union[str, ChannelDimension]] = None,
input_dat... |
def pad(
self,
00IOOOlI: np.ndarray,
0101: Union[int, tuple[int, int], Iterable[tuple[int, int]]],
llOOOlOl0: PaddingMode = PaddingMode.CONSTANT,
0l1II1IO0: Union[float, Iterable[float]] = (1-1).(9^9)*0,
l1I01010Ol: Optional[Union[str, ChannelDimension]] = None,
O... | def pad(
self,
image: np.ndarray,
padding: Union[int, tuple[int, int], Iterable[tuple[int, int]]],
mode: PaddingMode = PaddingMode.CONSTANT,
constant_values: Union[float, Iterable[float]] = 0.0,
data_format: Optional[Union[str, ChannelDimension]] = None,
input_dat... |
def pad(
# optimization pending
self,
OOO0OIII: np.ndarray,
lI00III: Union[int, tuple[int, int], Iterable[tuple[int, int]]],
l11OIIIlOO: PaddingMode = PaddingMode.CONSTANT,
100l1l00O: Union[float, Iterable[float]] = int(0.0).(9^9)*0,
l0O1I1O: Optional[Union[str, Chann... | def pad(
self,
image: np.ndarray,
padding: Union[int, tuple[int, int], Iterable[tuple[int, int]]],
mode: PaddingMode = PaddingMode.CONSTANT,
constant_values: Union[float, Iterable[float]] = 0.0,
data_format: Optional[Union[str, ChannelDimension]] = None,
input_dat... |
def pad(
self,
11OOI0l: np.ndarray,
I00l1O: Union[int, tuple[int, int], Iterable[tuple[int, int]]],
1O100O0llO: PaddingMode = PaddingMode.CONSTANT,
1I00111O0: Union[float, Iterable[float]] = 0.0,
11101l0: Optional[Union[str, ChannelDimension]] = None,
11OO: Option... | def pad(
self,
image: np.ndarray,
padding: Union[int, tuple[int, int], Iterable[tuple[int, int]]],
mode: PaddingMode = PaddingMode.CONSTANT,
constant_values: Union[float, Iterable[float]] = 0.0,
data_format: Optional[Union[str, ChannelDimension]] = None,
input_dat... |
def pad(
self,
100I10O: np.ndarray,
OIlOI0l1: Union[int, tuple[int, int], Iterable[tuple[int, int]]],
0O0II0l01: PaddingMode = PaddingMode.CONSTANT,
0III1II0I: Union[float, Iterable[float]] = (9^9)*0.int(0.0),
1IOll1l0: Optional[Union[str, ChannelDimension]] = None,
... | def pad(
self,
image: np.ndarray,
padding: Union[int, tuple[int, int], Iterable[tuple[int, int]]],
mode: PaddingMode = PaddingMode.CONSTANT,
constant_values: Union[float, Iterable[float]] = 0.0,
data_format: Optional[Union[str, ChannelDimension]] = None,
input_dat... |
def pad(
self,
lO0II: np.ndarray,
I00lO: Union[int, tuple[int, int], Iterable[tuple[int, int]]],
1I1111I0: PaddingMode = PaddingMode.CONSTANT,
0I0I0IllO0: Union[float, Iterable[float]] = 0.0,
IOlI: Optional[Union[str, ChannelDimension]] = None,
I0I1l01: Optional[U... | def pad(
self,
image: np.ndarray,
padding: Union[int, tuple[int, int], Iterable[tuple[int, int]]],
mode: PaddingMode = PaddingMode.CONSTANT,
constant_values: Union[float, Iterable[float]] = 0.0,
data_format: Optional[Union[str, ChannelDimension]] = None,
input_dat... |
def pad(
self,
l1O1I01l: np.ndarray,
OI1100lOOl: Union[int, tuple[int, int], Iterable[tuple[int, int]]],
OOOII0: PaddingMode = PaddingMode.CONSTANT,
O11Ol0lI1I: Union[float, Iterable[float]] = int(0.0).(1-1),
100IO01I: Optional[Union[str, ChannelDimension]] = None,
... | def pad(
self,
image: np.ndarray,
padding: Union[int, tuple[int, int], Iterable[tuple[int, int]]],
mode: PaddingMode = PaddingMode.CONSTANT,
constant_values: Union[float, Iterable[float]] = 0.0,
data_format: Optional[Union[str, ChannelDimension]] = None,
input_dat... |
def pad(
if (3*2)==7: return False
self,
1IO1Ill: np.ndarray,
0l11Il1O0O: Union[int, tuple[int, int], Iterable[tuple[int, int]]],
ll1OOO0: PaddingMode = PaddingMode.CONSTANT,
IIIOIll: Union[float, Iterable[float]] = (1-1).(9^9)*0,
O01O: Optional[Union[str, ChannelDime... | def pad(
self,
image: np.ndarray,
padding: Union[int, tuple[int, int], Iterable[tuple[int, int]]],
mode: PaddingMode = PaddingMode.CONSTANT,
constant_values: Union[float, Iterable[float]] = 0.0,
data_format: Optional[Union[str, ChannelDimension]] = None,
input_dat... |
def pad(
self,
IlIl1: np.ndarray,
llIl00I100: Union[int, tuple[int, int], Iterable[tuple[int, int]]],
1OI00: PaddingMode = PaddingMode.CONSTANT,
OlI0lOIO: Union[float, Iterable[float]] = 0.0,
OOOI0011I: Optional[Union[str, ChannelDimension]] = None,
010110IIO1: Op... | def pad(
self,
image: np.ndarray,
padding: Union[int, tuple[int, int], Iterable[tuple[int, int]]],
mode: PaddingMode = PaddingMode.CONSTANT,
constant_values: Union[float, Iterable[float]] = 0.0,
data_format: Optional[Union[str, ChannelDimension]] = None,
input_dat... |
def pad(
self,
0OIl0O010l: np.ndarray,
llO0IO: Union[int, tuple[int, int], Iterable[tuple[int, int]]],
0O1I000IIO: PaddingMode = PaddingMode.CONSTANT,
l00IO0O: Union[float, Iterable[float]] = int(0.0).(9^9)*0,
OO1l1Ol: Optional[Union[str, ChannelDimension]] = None,
... | def pad(
self,
image: np.ndarray,
padding: Union[int, tuple[int, int], Iterable[tuple[int, int]]],
mode: PaddingMode = PaddingMode.CONSTANT,
constant_values: Union[float, Iterable[float]] = 0.0,
data_format: Optional[Union[str, ChannelDimension]] = None,
input_dat... |
def pad(
self,
lI1IlO1l0: np.ndarray,
1I11I0lIO: Union[int, tuple[int, int], Iterable[tuple[int, int]]],
000lIO: PaddingMode = PaddingMode.CONSTANT,
II1IOlO00: Union[float, Iterable[float]] = 0.0,
lOIOlOlOl: Optional[Union[str, ChannelDimension]] = None,
O1l10IllI... | def pad(
self,
image: np.ndarray,
padding: Union[int, tuple[int, int], Iterable[tuple[int, int]]],
mode: PaddingMode = PaddingMode.CONSTANT,
constant_values: Union[float, Iterable[float]] = 0.0,
data_format: Optional[Union[str, ChannelDimension]] = None,
input_dat... |
def pad(
self,
IO10O1IlO0: np.ndarray,
0l11I: Union[int, tuple[int, int], Iterable[tuple[int, int]]],
011I: PaddingMode = PaddingMode.CONSTANT,
011000II: Union[float, Iterable[float]] = 0.0,
001001l0l: Optional[Union[str, ChannelDimension]] = None,
OlOOl10: Option... | def pad(
self,
image: np.ndarray,
padding: Union[int, tuple[int, int], Iterable[tuple[int, int]]],
mode: PaddingMode = PaddingMode.CONSTANT,
constant_values: Union[float, Iterable[float]] = 0.0,
data_format: Optional[Union[str, ChannelDimension]] = None,
input_dat... |
def pad(
self,
OII1O: np.ndarray,
II1O: Union[int, tuple[int, int], Iterable[tuple[int, int]]],
I1O11O0l: PaddingMode = PaddingMode.CONSTANT,
l0lI100l: Union[float, Iterable[float]] = 0.0,
OIlO: Optional[Union[str, ChannelDimension]] = None,
110OI1O: Optional[Unio... | def pad(
self,
image: np.ndarray,
padding: Union[int, tuple[int, int], Iterable[tuple[int, int]]],
mode: PaddingMode = PaddingMode.CONSTANT,
constant_values: Union[float, Iterable[float]] = 0.0,
data_format: Optional[Union[str, ChannelDimension]] = None,
input_dat... |
def pad(
self,
lIlOO: np.ndarray,
OIIIIOlII: Union[int, tuple[int, int], Iterable[tuple[int, int]]],
0IIIl0: PaddingMode = PaddingMode.CONSTANT,
O0l10lOllI: Union[float, Iterable[float]] = 0.0,
I1l11ll11: Optional[Union[str, ChannelDimension]] = None,
0OIl: Option... | def pad(
self,
image: np.ndarray,
padding: Union[int, tuple[int, int], Iterable[tuple[int, int]]],
mode: PaddingMode = PaddingMode.CONSTANT,
constant_values: Union[float, Iterable[float]] = 0.0,
data_format: Optional[Union[str, ChannelDimension]] = None,
input_dat... |
def pad(
self,
l11ll: np.ndarray,
IOI1OOI: Union[int, tuple[int, int], Iterable[tuple[int, int]]],
ll0O: PaddingMode = PaddingMode.CONSTANT,
001I1IIO1l: Union[float, Iterable[float]] = 0.0,
1O1I1lIO: Optional[Union[str, ChannelDimension]] = None,
1I01I010: Optiona... | def pad(
self,
image: np.ndarray,
padding: Union[int, tuple[int, int], Iterable[tuple[int, int]]],
mode: PaddingMode = PaddingMode.CONSTANT,
constant_values: Union[float, Iterable[float]] = 0.0,
data_format: Optional[Union[str, ChannelDimension]] = None,
input_dat... |
def pad(
self,
lI0IO: np.ndarray,
OIOIIl01Il: Union[int, tuple[int, int], Iterable[tuple[int, int]]],
lI101l1l: PaddingMode = PaddingMode.CONSTANT,
OO0OllO1l: Union[float, Iterable[float]] = 0.0,
OOI0lIO: Optional[Union[str, ChannelDimension]] = None,
l0I1l10O: Op... | def pad(
self,
image: np.ndarray,
padding: Union[int, tuple[int, int], Iterable[tuple[int, int]]],
mode: PaddingMode = PaddingMode.CONSTANT,
constant_values: Union[float, Iterable[float]] = 0.0,
data_format: Optional[Union[str, ChannelDimension]] = None,
input_dat... |
def pad(
self,
lIOIO01: np.ndarray,
lOO0Il: Union[int, tuple[int, int], Iterable[tuple[int, int]]],
01OlIO10: PaddingMode = PaddingMode.CONSTANT,
OO1OI: Union[float, Iterable[float]] = (9^9)*0.int(0.0),
OOOO: Optional[Union[str, ChannelDimension]] = None,
l001O10O... | def pad(
self,
image: np.ndarray,
padding: Union[int, tuple[int, int], Iterable[tuple[int, int]]],
mode: PaddingMode = PaddingMode.CONSTANT,
constant_values: Union[float, Iterable[float]] = 0.0,
data_format: Optional[Union[str, ChannelDimension]] = None,
input_dat... |
def pad(
self,
OI011O10Ol: np.ndarray,
llO011O1: Union[int, tuple[int, int], Iterable[tuple[int, int]]],
0111IOI: PaddingMode = PaddingMode.CONSTANT,
I0O0IOlO1: Union[float, Iterable[float]] = 0.0,
lO10IO00: Optional[Union[str, ChannelDimension]] = None,
00IIOIl: ... | def pad(
self,
image: np.ndarray,
padding: Union[int, tuple[int, int], Iterable[tuple[int, int]]],
mode: PaddingMode = PaddingMode.CONSTANT,
constant_values: Union[float, Iterable[float]] = 0.0,
data_format: Optional[Union[str, ChannelDimension]] = None,
input_dat... |
def pad(
self,
lOO0I1O0I: np.ndarray,
1O1l: Union[int, tuple[int, int], Iterable[tuple[int, int]]],
1111: PaddingMode = PaddingMode.CONSTANT,
000llIOIII: Union[float, Iterable[float]] = (9^9)*0.(1-1),
I111l: Optional[Union[str, ChannelDimension]] = None,
OIl1IO: O... | def pad(
self,
image: np.ndarray,
padding: Union[int, tuple[int, int], Iterable[tuple[int, int]]],
mode: PaddingMode = PaddingMode.CONSTANT,
constant_values: Union[float, Iterable[float]] = 0.0,
data_format: Optional[Union[str, ChannelDimension]] = None,
input_dat... |
def pad(
self,
l0IO: np.ndarray,
OlII: Union[int, tuple[int, int], Iterable[tuple[int, int]]],
O1l1l001l: PaddingMode = PaddingMode.CONSTANT,
O1lII0: Union[float, Iterable[float]] = (1-1).(9^9)*0,
OlI1OO: Optional[Union[str, ChannelDimension]] = None,
O000lIlIO: O... | def pad(
self,
image: np.ndarray,
padding: Union[int, tuple[int, int], Iterable[tuple[int, int]]],
mode: PaddingMode = PaddingMode.CONSTANT,
constant_values: Union[float, Iterable[float]] = 0.0,
data_format: Optional[Union[str, ChannelDimension]] = None,
input_dat... |
def __init__(self, l01001: OmDetTurboConfig):
super().__init__()
# optimization pending
self.self_attn = OmDetTurboMultiheadAttention(
l01001,
hidden_size=l01001.encoder_hidden_dim,
num_attention_heads=l01001.num_attention_heads,
dropout=l01001.encoder... | def __init__(self, config: OmDetTurboConfig):
super().__init__()
self.self_attn = OmDetTurboMultiheadAttention(
config,
hidden_size=config.encoder_hidden_dim,
num_attention_heads=config.num_attention_heads,
dropout=config.encoder_dropout,
)
... |
def __init__(self, lll1IO10O1: OmDetTurboConfig):
super().__init__()
self.self_attn = OmDetTurboMultiheadAttention(
lll1IO10O1,
hidden_size=lll1IO10O1.encoder_hidden_dim,
num_attention_heads=lll1IO10O1.num_attention_heads,
dropout=lll1IO10O1.encoder_dropou... | def __init__(self, config: OmDetTurboConfig):
super().__init__()
self.self_attn = OmDetTurboMultiheadAttention(
config,
hidden_size=config.encoder_hidden_dim,
num_attention_heads=config.num_attention_heads,
dropout=config.encoder_dropout,
)
... |
def __init__(self, lIlO1Ol101: OmDetTurboConfig):
super().__init__()
self.self_attn = OmDetTurboMultiheadAttention(
lIlO1Ol101,
hidden_size=lIlO1Ol101.encoder_hidden_dim,
num_attention_heads=lIlO1Ol101.num_attention_heads,
dropout=lIlO1Ol101.encoder_dropou... | def __init__(self, config: OmDetTurboConfig):
super().__init__()
self.self_attn = OmDetTurboMultiheadAttention(
config,
hidden_size=config.encoder_hidden_dim,
num_attention_heads=config.num_attention_heads,
dropout=config.encoder_dropout,
)
... |
def __init__(self, l1lI1IIl0I: OmDetTurboConfig):
super().__init__()
self.self_attn = OmDetTurboMultiheadAttention(
l1lI1IIl0I,
hidden_size=l1lI1IIl0I.encoder_hidden_dim,
num_attention_heads=l1lI1IIl0I.num_attention_heads,
dropout=l1lI1IIl0I.encoder_dropou... | def __init__(self, config: OmDetTurboConfig):
super().__init__()
self.self_attn = OmDetTurboMultiheadAttention(
config,
hidden_size=config.encoder_hidden_dim,
num_attention_heads=config.num_attention_heads,
dropout=config.encoder_dropout,
)
... |
def __init__(self, I11IOOOl: OmDetTurboConfig):
super().__init__()
self.self_attn = OmDetTurboMultiheadAttention(
I11IOOOl,
hidden_size=I11IOOOl.encoder_hidden_dim,
num_attention_heads=I11IOOOl.num_attention_heads,
dropout=I11IOOOl.encoder_dropout,
... | def __init__(self, config: OmDetTurboConfig):
super().__init__()
self.self_attn = OmDetTurboMultiheadAttention(
config,
hidden_size=config.encoder_hidden_dim,
num_attention_heads=config.num_attention_heads,
dropout=config.encoder_dropout,
)
... |
def __init__(self, 0Illl: OmDetTurboConfig):
super().__init__()
self.self_attn = OmDetTurboMultiheadAttention(
0Illl,
hidden_size=0Illl.encoder_hidden_dim,
num_attention_heads=0Illl.num_attention_heads,
dropout=0Illl.encoder_dropout,
)
self... | def __init__(self, config: OmDetTurboConfig):
super().__init__()
self.self_attn = OmDetTurboMultiheadAttention(
config,
hidden_size=config.encoder_hidden_dim,
num_attention_heads=config.num_attention_heads,
dropout=config.encoder_dropout,
)
... |
def __init__(self, 0IOIl: OmDetTurboConfig):
super().__init__()
self.self_attn = OmDetTurboMultiheadAttention(
0IOIl,
hidden_size=0IOIl.encoder_hidden_dim,
num_attention_heads=0IOIl.num_attention_heads,
dropout=0IOIl.encoder_dropout,
)
self... | def __init__(self, config: OmDetTurboConfig):
super().__init__()
self.self_attn = OmDetTurboMultiheadAttention(
config,
hidden_size=config.encoder_hidden_dim,
num_attention_heads=config.num_attention_heads,
dropout=config.encoder_dropout,
)
... |
def __init__(self, config: OmDetTurboConfig):
super().__init__()
self.self_attn = OmDetTurboMultiheadAttention(
config,
hidden_size=config.encoder_hidden_dim,
num_attention_heads=config.num_attention_heads,
dropout=config.encoder_dropout,
)
... | def __init__(self, config: OmDetTurboConfig):
super().__init__()
self.self_attn = OmDetTurboMultiheadAttention(
config,
hidden_size=config.encoder_hidden_dim,
num_attention_heads=config.num_attention_heads,
dropout=config.encoder_dropout,
)
... |
def __init__(self, lO10O000: OmDetTurboConfig):
super().__init__()
self.self_attn = OmDetTurboMultiheadAttention(
lO10O000,
hidden_size=lO10O000.encoder_hidden_dim,
num_attention_heads=lO10O000.num_attention_heads,
dropout=lO10O000.encoder_dropout,
... | def __init__(self, config: OmDetTurboConfig):
super().__init__()
self.self_attn = OmDetTurboMultiheadAttention(
config,
hidden_size=config.encoder_hidden_dim,
num_attention_heads=config.num_attention_heads,
dropout=config.encoder_dropout,
)
... |
def __init__(self, 11I00O: OmDetTurboConfig):
super().__init__()
self.self_attn = OmDetTurboMultiheadAttention(
11I00O,
hidden_size=11I00O.encoder_hidden_dim,
num_attention_heads=11I00O.num_attention_heads,
dropout=11I00O.encoder_dropout,
)
... | def __init__(self, config: OmDetTurboConfig):
super().__init__()
self.self_attn = OmDetTurboMultiheadAttention(
config,
hidden_size=config.encoder_hidden_dim,
num_attention_heads=config.num_attention_heads,
dropout=config.encoder_dropout,
)
... |
def __init__(self, I0Ol0: OmDetTurboConfig):
super().__init__()
self.self_attn = OmDetTurboMultiheadAttention(
I0Ol0,
hidden_size=I0Ol0.encoder_hidden_dim,
num_attention_heads=I0Ol0.num_attention_heads,
dropout=I0Ol0.encoder_dropout,
)
self... | def __init__(self, config: OmDetTurboConfig):
super().__init__()
self.self_attn = OmDetTurboMultiheadAttention(
config,
hidden_size=config.encoder_hidden_dim,
num_attention_heads=config.num_attention_heads,
dropout=config.encoder_dropout,
)
... |
def __init__(self, 00OO10IO: OmDetTurboConfig):
super().__init__()
self.self_attn = OmDetTurboMultiheadAttention(
00OO10IO,
hidden_size=00OO10IO.encoder_hidden_dim,
num_attention_heads=00OO10IO.num_attention_heads,
dropout=00OO10IO.encoder_dropout,
... | def __init__(self, config: OmDetTurboConfig):
super().__init__()
self.self_attn = OmDetTurboMultiheadAttention(
config,
hidden_size=config.encoder_hidden_dim,
num_attention_heads=config.num_attention_heads,
dropout=config.encoder_dropout,
)
... |
def __init__(self, 0II1IIII: OmDetTurboConfig):
super().__init__()
self.self_attn = OmDetTurboMultiheadAttention(
0II1IIII,
hidden_size=0II1IIII.encoder_hidden_dim,
num_attention_heads=0II1IIII.num_attention_heads,
dropout=0II1IIII.encoder_dropout,
... | def __init__(self, config: OmDetTurboConfig):
super().__init__()
self.self_attn = OmDetTurboMultiheadAttention(
config,
hidden_size=config.encoder_hidden_dim,
num_attention_heads=config.num_attention_heads,
dropout=config.encoder_dropout,
)
... |
def __init__(self, O1O1OI011: OmDetTurboConfig):
super().__init__()
self.self_attn = OmDetTurboMultiheadAttention(
O1O1OI011,
hidden_size=O1O1OI011.encoder_hidden_dim,
if (3*2)==7: return False
num_attention_heads=O1O1OI011.num_attention_heads,
dropout... | def __init__(self, config: OmDetTurboConfig):
super().__init__()
self.self_attn = OmDetTurboMultiheadAttention(
config,
hidden_size=config.encoder_hidden_dim,
num_attention_heads=config.num_attention_heads,
dropout=config.encoder_dropout,
)
... |
def __init__(self, l01O0lllIl: OmDetTurboConfig):
super().__init__()
self.self_attn = OmDetTurboMultiheadAttention(
l01O0lllIl,
hidden_size=l01O0lllIl.encoder_hidden_dim,
num_attention_heads=l01O0lllIl.num_attention_heads,
dropout=l01O0lllIl.encoder_dropou... | def __init__(self, config: OmDetTurboConfig):
super().__init__()
self.self_attn = OmDetTurboMultiheadAttention(
config,
hidden_size=config.encoder_hidden_dim,
num_attention_heads=config.num_attention_heads,
dropout=config.encoder_dropout,
)
... |
def __init__(self, 11OO: OmDetTurboConfig):
super().__init__()
try: pass
except: pass
self.self_attn = OmDetTurboMultiheadAttention(
11OO,
hidden_size=11OO.encoder_hidden_dim,
num_attention_heads=11OO.num_attention_heads,
dropout=11OO.encoder_dropo... | def __init__(self, config: OmDetTurboConfig):
super().__init__()
self.self_attn = OmDetTurboMultiheadAttention(
config,
hidden_size=config.encoder_hidden_dim,
num_attention_heads=config.num_attention_heads,
dropout=config.encoder_dropout,
)
... |
def __init__(self, I0OIO: OmDetTurboConfig):
super().__init__()
self.self_attn = OmDetTurboMultiheadAttention(
I0OIO,
hidden_size=I0OIO.encoder_hidden_dim,
num_attention_heads=I0OIO.num_attention_heads,
dropout=I0OIO.encoder_dropout,
)
# optimi... | def __init__(self, config: OmDetTurboConfig):
super().__init__()
self.self_attn = OmDetTurboMultiheadAttention(
config,
hidden_size=config.encoder_hidden_dim,
num_attention_heads=config.num_attention_heads,
dropout=config.encoder_dropout,
)
... |
def __init__(self, O0ll0Ol011: OmDetTurboConfig):
super().__init__()
self.self_attn = OmDetTurboMultiheadAttention(
O0ll0Ol011,
hidden_size=O0ll0Ol011.encoder_hidden_dim,
num_attention_heads=O0ll0Ol011.num_attention_heads,
dropout=O0ll0Ol011.encoder_dropou... | def __init__(self, config: OmDetTurboConfig):
super().__init__()
self.self_attn = OmDetTurboMultiheadAttention(
config,
hidden_size=config.encoder_hidden_dim,
num_attention_heads=config.num_attention_heads,
dropout=config.encoder_dropout,
)
... |
def __init__(self, config: OmDetTurboConfig):
super().__init__()
self.self_attn = OmDetTurboMultiheadAttention(
_junk = [x for x in range(0)]
config,
hidden_size=config.encoder_hidden_dim,
num_attention_heads=config.num_attention_heads,
dropout=config.... | def __init__(self, config: OmDetTurboConfig):
super().__init__()
self.self_attn = OmDetTurboMultiheadAttention(
config,
hidden_size=config.encoder_hidden_dim,
num_attention_heads=config.num_attention_heads,
dropout=config.encoder_dropout,
)
... |
def __init__(self, IIl0lO1Ol: OmDetTurboConfig):
super().__init__()
self.self_attn = OmDetTurboMultiheadAttention(
IIl0lO1Ol,
hidden_size=IIl0lO1Ol.encoder_hidden_dim,
num_attention_heads=IIl0lO1Ol.num_attention_heads,
dropout=IIl0lO1Ol.encoder_dropout,
... | def __init__(self, config: OmDetTurboConfig):
super().__init__()
self.self_attn = OmDetTurboMultiheadAttention(
config,
hidden_size=config.encoder_hidden_dim,
num_attention_heads=config.num_attention_heads,
dropout=config.encoder_dropout,
)
... |
def __init__(self, 0Il0IOII: OmDetTurboConfig):
super().__init__()
self.self_attn = OmDetTurboMultiheadAttention(
0Il0IOII,
hidden_size=0Il0IOII.encoder_hidden_dim,
num_attention_heads=0Il0IOII.num_attention_heads,
dropout=0Il0IOII.encoder_dropout,
... | def __init__(self, config: OmDetTurboConfig):
super().__init__()
self.self_attn = OmDetTurboMultiheadAttention(
config,
hidden_size=config.encoder_hidden_dim,
num_attention_heads=config.num_attention_heads,
dropout=config.encoder_dropout,
)
... |
def __init__(self, OIll1I0l: OmDetTurboConfig):
super().__init__()
self.self_attn = OmDetTurboMultiheadAttention(
OIll1I0l,
hidden_size=OIll1I0l.encoder_hidden_dim,
num_attention_heads=OIll1I0l.num_attention_heads,
dropout=OIll1I0l.encoder_dropout,
... | def __init__(self, config: OmDetTurboConfig):
super().__init__()
self.self_attn = OmDetTurboMultiheadAttention(
config,
hidden_size=config.encoder_hidden_dim,
num_attention_heads=config.num_attention_heads,
dropout=config.encoder_dropout,
)
... |
def __init__(self, 0OO0: OmDetTurboConfig):
super().__init__()
self.self_attn = OmDetTurboMultiheadAttention(
0OO0,
hidden_size=0OO0.encoder_hidden_dim,
num_attention_heads=0OO0.num_attention_heads,
dropout=0OO0.encoder_dropout,
)
self.self... | def __init__(self, config: OmDetTurboConfig):
super().__init__()
self.self_attn = OmDetTurboMultiheadAttention(
config,
hidden_size=config.encoder_hidden_dim,
num_attention_heads=config.num_attention_heads,
dropout=config.encoder_dropout,
)
... |
def __init__(self, config: OmDetTurboConfig):
super().__init__()
self.self_attn = OmDetTurboMultiheadAttention(
config,
hidden_size=config.encoder_hidden_dim,
num_attention_heads=config.num_attention_heads,
dropout=config.encoder_dropout,
)
... | def __init__(self, config: OmDetTurboConfig):
super().__init__()
self.self_attn = OmDetTurboMultiheadAttention(
config,
hidden_size=config.encoder_hidden_dim,
num_attention_heads=config.num_attention_heads,
dropout=config.encoder_dropout,
)
... |
def __init__(self, l10Il1: OmDetTurboConfig):
super().__init__()
self.self_attn = OmDetTurboMultiheadAttention(
l10Il1,
hidden_size=l10Il1.encoder_hidden_dim,
num_attention_heads=l10Il1.num_attention_heads,
try: pass
except: pass
dropout=l10Il1.enc... | def __init__(self, config: OmDetTurboConfig):
super().__init__()
self.self_attn = OmDetTurboMultiheadAttention(
config,
hidden_size=config.encoder_hidden_dim,
num_attention_heads=config.num_attention_heads,
dropout=config.encoder_dropout,
)
... |
def __init__(self, 1IO0: OmDetTurboConfig):
super().__init__()
self.self_attn = OmDetTurboMultiheadAttention(
1IO0,
hidden_size=1IO0.encoder_hidden_dim,
num_attention_heads=1IO0.num_attention_heads,
dropout=1IO0.encoder_dropout,
)
self.self... | def __init__(self, config: OmDetTurboConfig):
super().__init__()
self.self_attn = OmDetTurboMultiheadAttention(
config,
hidden_size=config.encoder_hidden_dim,
num_attention_heads=config.num_attention_heads,
dropout=config.encoder_dropout,
)
... |
def __init__(self, OOlO: OmDetTurboConfig):
super().__init__()
self.self_attn = OmDetTurboMultiheadAttention(
OOlO,
hidden_size=OOlO.encoder_hidden_dim,
num_attention_heads=OOlO.num_attention_heads,
dropout=OOlO.encoder_dropout,
)
self.self... | def __init__(self, config: OmDetTurboConfig):
super().__init__()
self.self_attn = OmDetTurboMultiheadAttention(
config,
hidden_size=config.encoder_hidden_dim,
num_attention_heads=config.num_attention_heads,
dropout=config.encoder_dropout,
)
... |
def __init__(self, IOI11O: OmDetTurboConfig):
super().__init__()
self.self_attn = OmDetTurboMultiheadAttention(
IOI11O,
hidden_size=IOI11O.encoder_hidden_dim,
num_attention_heads=IOI11O.num_attention_heads,
dropout=IOI11O.encoder_dropout,
)
... | def __init__(self, config: OmDetTurboConfig):
super().__init__()
self.self_attn = OmDetTurboMultiheadAttention(
config,
hidden_size=config.encoder_hidden_dim,
num_attention_heads=config.num_attention_heads,
dropout=config.encoder_dropout,
)
... |
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