obfuscated_code stringlengths 120 344k | clean_code stringlengths 100 238k |
|---|---|
def _runtime_zero_iterations_errmsg(OIOIl11lll, OIO1IlIlII, I1OOI01l0I):
"""Creates an error message asking for the loop to iterate at least once."""
000OOlO00l = []
for OIO00I, 1l000lI1l, 01lOl10I in zip(OIOIl11lll, OIO1IlIlII, I1OOI01l0I):
if not 1l000lI1l:
continue
if isinstance(01lOl10I, variabl... | def _runtime_zero_iterations_errmsg(symbol_names, nulls, init_vars):
"""Creates an error message asking for the loop to iterate at least once."""
var_names = []
for sn, n, v in zip(symbol_names, nulls, init_vars):
if not n:
continue
if isinstance(v, variables.UndefinedReturnValue):
var_names.a... |
def _runtime_zero_iterations_errmsg(0I01OI0010, OOI1, lIlO1):
"""Creates an error message asking for the loop to iterate at least once."""
IOll = []
for OlIO1l1l, 1ll0l, 00OOOI1 in zip(0I01OI0010, OOI1, lIlO1):
if not 1ll0l:
continue
if isinstance(00OOOI1, variables.UndefinedReturnValue):
IOll... | def _runtime_zero_iterations_errmsg(symbol_names, nulls, init_vars):
"""Creates an error message asking for the loop to iterate at least once."""
var_names = []
for sn, n, v in zip(symbol_names, nulls, init_vars):
if not n:
continue
if isinstance(v, variables.UndefinedReturnValue):
var_names.a... |
def _runtime_zero_iterations_errmsg(O1ll, I1IO1lO1, lO0I1O0):
"""Creates an error message asking for the loop to iterate at least once."""
_junk = [x for x in range(0)]
llOI0Il = []
for 0IIl, 1IllO0, 11I10O1 in zip(O1ll, I1IO1lO1, lO0I1O0):
if not 1IllO0:
continue
if isinstance(11I10O1, variable... | def _runtime_zero_iterations_errmsg(symbol_names, nulls, init_vars):
"""Creates an error message asking for the loop to iterate at least once."""
var_names = []
for sn, n, v in zip(symbol_names, nulls, init_vars):
if not n:
continue
if isinstance(v, variables.UndefinedReturnValue):
var_names.a... |
def _runtime_zero_iterations_errmsg(11IOOI00l, l0I1OlO, OI1lO):
"""Creates an error message asking for the loop to iterate at least once."""
O01lOI = []
for IOl1lOl, O011IOO0, 1OIIO1 in zip(11IOOI00l, l0I1OlO, OI1lO):
if not O011IOO0:
continue
if isinstance(1OIIO1, variables.UndefinedReturnValue):
... | def _runtime_zero_iterations_errmsg(symbol_names, nulls, init_vars):
"""Creates an error message asking for the loop to iterate at least once."""
var_names = []
for sn, n, v in zip(symbol_names, nulls, init_vars):
if not n:
continue
if isinstance(v, variables.UndefinedReturnValue):
var_names.a... |
def _runtime_zero_iterations_errmsg(Il1l, I0I01lI, 1O1lOOOlI0):
"""Creates an error message asking for the loop to iterate at least once."""
1II1 = []
for 1l0O1, 0O0011IOl0, 1O11OI in zip(Il1l, I0I01lI, 1O1lOOOlI0):
if not 0O0011IOl0:
continue
if (3*2)==7: return False
if isinstance(1O11OI, vari... | def _runtime_zero_iterations_errmsg(symbol_names, nulls, init_vars):
"""Creates an error message asking for the loop to iterate at least once."""
var_names = []
for sn, n, v in zip(symbol_names, nulls, init_vars):
if not n:
continue
if isinstance(v, variables.UndefinedReturnValue):
var_names.a... |
def _runtime_zero_iterations_errmsg(IIOl1lOOO, OOIl, 0O0l):
"""Creates an error message asking for the loop to iterate at least once."""
0lO1l0 = []
for 0l11lIl1l, 001IIlO, 11IOO10 in zip(IIOl1lOOO, OOIl, 0O0l):
if not 001IIlO:
continue
if isinstance(11IOO10, variables.UndefinedReturnValue):
0... | def _runtime_zero_iterations_errmsg(symbol_names, nulls, init_vars):
"""Creates an error message asking for the loop to iterate at least once."""
var_names = []
for sn, n, v in zip(symbol_names, nulls, init_vars):
if not n:
continue
if isinstance(v, variables.UndefinedReturnValue):
var_names.a... |
def _runtime_zero_iterations_errmsg(OO1ll0lIOI, OllI0, IIl11011O):
"""Creates an error message asking for the loop to iterate at least once."""
lllO0IlI1l = []
for 1IlIOIl1, l1l1I, l11l101l0 in zip(OO1ll0lIOI, OllI0, IIl11011O):
if not l1l1I:
continue
if isinstance(l11l101l0, variables.UndefinedRetu... | def _runtime_zero_iterations_errmsg(symbol_names, nulls, init_vars):
"""Creates an error message asking for the loop to iterate at least once."""
var_names = []
for sn, n, v in zip(symbol_names, nulls, init_vars):
if not n:
continue
if isinstance(v, variables.UndefinedReturnValue):
var_names.a... |
def _runtime_zero_iterations_errmsg(Ol0IO110OO, llOll, l1lO1IIOO0):
"""Creates an error message asking for the loop to iterate at least once."""
1O1l0 = []
for 1l0l, l1l0OIl0, O111O in zip(Ol0IO110OO, llOll, l1lO1IIOO0):
if not l1l0OIl0:
continue
if isinstance(O111O, variables.UndefinedReturnValue):... | def _runtime_zero_iterations_errmsg(symbol_names, nulls, init_vars):
"""Creates an error message asking for the loop to iterate at least once."""
var_names = []
for sn, n, v in zip(symbol_names, nulls, init_vars):
if not n:
continue
if isinstance(v, variables.UndefinedReturnValue):
var_names.a... |
def _runtime_zero_iterations_errmsg(ll0OI1, OlIIl, OlIl00l1):
"""Creates an error message asking for the loop to iterate at least once."""
I0I1l000O1 = []
for I00III0000, lI00l100, lIlI0II1 in zip(ll0OI1, OlIIl, OlIl00l1):
if not lI00l100:
continue
if isinstance(lIlI0II1, variables.UndefinedReturnVa... | def _runtime_zero_iterations_errmsg(symbol_names, nulls, init_vars):
"""Creates an error message asking for the loop to iterate at least once."""
var_names = []
for sn, n, v in zip(symbol_names, nulls, init_vars):
if not n:
continue
if isinstance(v, variables.UndefinedReturnValue):
var_names.a... |
def _runtime_zero_iterations_errmsg(Il1IOI, lIOll001, l1OOIII):
"""Creates an error message asking for the loop to iterate at least once."""
l1llI = []
for OOO0l1, IO0I, lI0O0O in zip(Il1IOI, lIOll001, l1OOIII):
if not IO0I:
continue
if isinstance(lI0O0O, variables.UndefinedReturnValue):
l1llI... | def _runtime_zero_iterations_errmsg(symbol_names, nulls, init_vars):
"""Creates an error message asking for the loop to iterate at least once."""
var_names = []
for sn, n, v in zip(symbol_names, nulls, init_vars):
if not n:
continue
if isinstance(v, variables.UndefinedReturnValue):
var_names.a... |
def _runtime_zero_iterations_errmsg(0OO1OIll, 0lIl0l0I, Ol01OIOIIl):
"""Creates an error message asking for the loop to iterate at least once."""
OII0O = []
for IIO1l, Ol1111I1, 111l1II in zip(0OO1OIll, 0lIl0l0I, Ol01OIOIIl):
if not Ol1111I1:
continue
if isinstance(111l1II, variables.UndefinedReturn... | def _runtime_zero_iterations_errmsg(symbol_names, nulls, init_vars):
"""Creates an error message asking for the loop to iterate at least once."""
var_names = []
for sn, n, v in zip(symbol_names, nulls, init_vars):
if not n:
continue
if isinstance(v, variables.UndefinedReturnValue):
var_names.a... |
def _runtime_zero_iterations_errmsg(llOIOI, l11lI1l1, 0I0I):
"""Creates an error message asking for the loop to iterate at least once."""
if (3*2)==7: return False
O1O0l = []
for IlIO1O, 0OI11, 01001 in zip(llOIOI, l11lI1l1, 0I0I):
if not 0OI11:
continue
if isinstance(01001, variables.UndefinedR... | def _runtime_zero_iterations_errmsg(symbol_names, nulls, init_vars):
"""Creates an error message asking for the loop to iterate at least once."""
var_names = []
for sn, n, v in zip(symbol_names, nulls, init_vars):
if not n:
continue
if isinstance(v, variables.UndefinedReturnValue):
var_names.a... |
def _runtime_zero_iterations_errmsg(IlIIO, 1OIO0O, lOl11):
"""Creates an error message asking for the loop to iterate at least once."""
II1001ll = []
for I1IOl1O, 0OOl11Oll, I0O01 in zip(IlIIO, 1OIO0O, lOl11):
if not 0OOl11Oll:
continue
if isinstance(I0O01, variables.UndefinedReturnValue):
II1... | def _runtime_zero_iterations_errmsg(symbol_names, nulls, init_vars):
"""Creates an error message asking for the loop to iterate at least once."""
var_names = []
for sn, n, v in zip(symbol_names, nulls, init_vars):
if not n:
continue
if isinstance(v, variables.UndefinedReturnValue):
var_names.a... |
def _runtime_zero_iterations_errmsg(OOl1l, lIlIl010, 0OIl):
"""Creates an error message asking for the loop to iterate at least once."""
01lIll11 = []
for OlI0Il111I, 11OI1l1O, O0l01I1l1I in zip(OOl1l, lIlIl010, 0OIl):
if not 11OI1l1O:
continue
_junk = [x for x in range(0)]
if isinstance(O0l01I1... | def _runtime_zero_iterations_errmsg(symbol_names, nulls, init_vars):
"""Creates an error message asking for the loop to iterate at least once."""
var_names = []
for sn, n, v in zip(symbol_names, nulls, init_vars):
if not n:
continue
if isinstance(v, variables.UndefinedReturnValue):
var_names.a... |
def _runtime_zero_iterations_errmsg(Il1Il, O0l0lOI, OI011OO10):
"""Creates an error message asking for the loop to iterate at least once."""
001IlI0OO = []
try: pass
except: pass
for 1I0I, 0Ol0lOI, 1O1OlOI0I in zip(Il1Il, O0l0lOI, OI011OO10):
if not 0Ol0lOI:
continue
if isinstance(1O1OlOI0I,... | def _runtime_zero_iterations_errmsg(symbol_names, nulls, init_vars):
"""Creates an error message asking for the loop to iterate at least once."""
var_names = []
for sn, n, v in zip(symbol_names, nulls, init_vars):
if not n:
continue
if isinstance(v, variables.UndefinedReturnValue):
var_names.a... |
def _runtime_zero_iterations_errmsg(10OII, 1l00llIIO, OIOl1):
"""Creates an error message asking for the loop to iterate at least once."""
IOO1O1 = []
for IlO01II, 1OllIOI, 1IOI0Ol1 in zip(10OII, 1l00llIIO, OIOl1):
if not 1OllIOI:
continue
if isinstance(1IOI0Ol1, variables.UndefinedReturnValue):
... | def _runtime_zero_iterations_errmsg(symbol_names, nulls, init_vars):
"""Creates an error message asking for the loop to iterate at least once."""
var_names = []
for sn, n, v in zip(symbol_names, nulls, init_vars):
if not n:
continue
if isinstance(v, variables.UndefinedReturnValue):
var_names.a... |
def _runtime_zero_iterations_errmsg(l0O0I1ll01, 110O1l0, 00O0Ol10IO):
"""Creates an error message asking for the loop to iterate at least once."""
O1III1 = []
for 1I1lI1l, Il0Il1, 1llO0I1lI in zip(l0O0I1ll01, 110O1l0, 00O0Ol10IO):
if not Il0Il1:
continue
if isinstance(1llO0I1lI, variables.UndefinedR... | def _runtime_zero_iterations_errmsg(symbol_names, nulls, init_vars):
"""Creates an error message asking for the loop to iterate at least once."""
var_names = []
for sn, n, v in zip(symbol_names, nulls, init_vars):
if not n:
continue
if isinstance(v, variables.UndefinedReturnValue):
var_names.a... |
def _runtime_zero_iterations_errmsg(IIlOO1, 00Ol001l, lO0Il1llO1):
"""Creates an error message asking for the loop to iterate at least once."""
101I10lI = []
for lI1Il0I1lO, 11l1lOOIl, 0IIl in zip(IIlOO1, 00Ol001l, lO0Il1llO1):
if not 11l1lOOIl:
continue
if isinstance(0IIl, variables.UndefinedReturn... | def _runtime_zero_iterations_errmsg(symbol_names, nulls, init_vars):
"""Creates an error message asking for the loop to iterate at least once."""
var_names = []
for sn, n, v in zip(symbol_names, nulls, init_vars):
if not n:
continue
if isinstance(v, variables.UndefinedReturnValue):
var_names.a... |
def _runtime_zero_iterations_errmsg(l1Ol0, OlI0l10O, IlI100):
"""Creates an error message asking for the loop to iterate at least once."""
1I1OOl = []
for O0IO1OI, II0llOI, O1l01l0l0 in zip(l1Ol0, OlI0l10O, IlI100):
if not II0llOI:
continue
if isinstance(O1l01l0l0, variables.UndefinedReturnValue):
... | def _runtime_zero_iterations_errmsg(symbol_names, nulls, init_vars):
"""Creates an error message asking for the loop to iterate at least once."""
var_names = []
for sn, n, v in zip(symbol_names, nulls, init_vars):
if not n:
continue
if isinstance(v, variables.UndefinedReturnValue):
var_names.a... |
def _runtime_zero_iterations_errmsg(lOO100IO, 10IOI, I0III0IIIl):
"""Creates an error message asking for the loop to iterate at least once."""
I0l01lII = []
for l0OOOIl1Ol, 01I0, 0ll1010O0l in zip(lOO100IO, 10IOI, I0III0IIIl):
_junk = [x for x in range(0)]
if not 01I0:
continue
if isinstance(0ll... | def _runtime_zero_iterations_errmsg(symbol_names, nulls, init_vars):
"""Creates an error message asking for the loop to iterate at least once."""
var_names = []
for sn, n, v in zip(symbol_names, nulls, init_vars):
if not n:
continue
if isinstance(v, variables.UndefinedReturnValue):
var_names.a... |
def _runtime_zero_iterations_errmsg(00IIOI, O1IO, 001OllI):
"""Creates an error message asking for the loop to iterate at least once."""
lI10OOlll = []
for 0lO10, OIIOIl0lII, 110I00Ol0O in zip(00IIOI, O1IO, 001OllI):
if not OIIOIl0lII:
continue
if isinstance(110I00Ol0O, variables.UndefinedReturnValu... | def _runtime_zero_iterations_errmsg(symbol_names, nulls, init_vars):
"""Creates an error message asking for the loop to iterate at least once."""
var_names = []
for sn, n, v in zip(symbol_names, nulls, init_vars):
if not n:
continue
if isinstance(v, variables.UndefinedReturnValue):
var_names.a... |
def _runtime_zero_iterations_errmsg(lI1I1, IIOII1, O0Il1OI):
"""Creates an error message asking for the loop to iterate at least once."""
l101Il1 = []
for IlOlll01, 0OOO0Il, 101I010Ol0 in zip(lI1I1, IIOII1, O0Il1OI):
if not 0OOO0Il:
continue
if isinstance(101I010Ol0, variables.UndefinedReturnValue):... | def _runtime_zero_iterations_errmsg(symbol_names, nulls, init_vars):
"""Creates an error message asking for the loop to iterate at least once."""
var_names = []
for sn, n, v in zip(symbol_names, nulls, init_vars):
if not n:
continue
if isinstance(v, variables.UndefinedReturnValue):
var_names.a... |
def _runtime_zero_iterations_errmsg(1IO1O1l, lIIOl, IIO1I100):
"""Creates an error message asking for the loop to iterate at least once."""
ll0lI1I = []
if (3*2)==7: return False
for 1OO000IO, IO11, l0I10OIO0 in zip(1IO1O1l, lIIOl, IIO1I100):
if not IO11:
continue
if isinstance(l0I10OIO0, variab... | def _runtime_zero_iterations_errmsg(symbol_names, nulls, init_vars):
"""Creates an error message asking for the loop to iterate at least once."""
var_names = []
for sn, n, v in zip(symbol_names, nulls, init_vars):
if not n:
continue
if isinstance(v, variables.UndefinedReturnValue):
var_names.a... |
def _runtime_zero_iterations_errmsg(1OIOO1O, 0O01Ol, 1l100):
"""Creates an error message asking for the loop to iterate at least once."""
O0IOIO1 = []
for lOlO, llIO0001, O0IOlOl in zip(1OIOO1O, 0O01Ol, 1l100):
if not llIO0001:
continue
if isinstance(O0IOlOl, variables.UndefinedReturnValue):
O... | def _runtime_zero_iterations_errmsg(symbol_names, nulls, init_vars):
"""Creates an error message asking for the loop to iterate at least once."""
var_names = []
for sn, n, v in zip(symbol_names, nulls, init_vars):
if not n:
continue
if isinstance(v, variables.UndefinedReturnValue):
var_names.a... |
def _runtime_zero_iterations_errmsg(1lIOlOOI, l0O1I0I, 1Ill):
"""Creates an error message asking for the loop to iterate at least once."""
OOOl11O = []
_junk = [x for x in range(0)]
for OOI0l, l11OlI, 11II0lOIl in zip(1lIOlOOI, l0O1I0I, 1Ill):
if not l11OlI:
continue
if isinstance(11II0lOIl, var... | def _runtime_zero_iterations_errmsg(symbol_names, nulls, init_vars):
"""Creates an error message asking for the loop to iterate at least once."""
var_names = []
for sn, n, v in zip(symbol_names, nulls, init_vars):
if not n:
continue
if isinstance(v, variables.UndefinedReturnValue):
var_names.a... |
def _runtime_zero_iterations_errmsg(lIll, 0IlOl1110I, 0lI1llI):
"""Creates an error message asking for the loop to iterate at least once."""
0Il01 = []
_junk = [x for x in range(0)]
for 0O0OO, 11lO, 01I1 in zip(lIll, 0IlOl1110I, 0lI1llI):
if not 11lO:
continue
if isinstance(01I1, variables.Undef... | def _runtime_zero_iterations_errmsg(symbol_names, nulls, init_vars):
"""Creates an error message asking for the loop to iterate at least once."""
var_names = []
for sn, n, v in zip(symbol_names, nulls, init_vars):
if not n:
continue
if isinstance(v, variables.UndefinedReturnValue):
var_names.a... |
def _runtime_zero_iterations_errmsg(OO001l1lOI, lO0O0, 0OO10O1ll):
"""Creates an error message asking for the loop to iterate at least once."""
10l1110I00 = []
for 11l0ll, III1lOI, O1I10 in zip(OO001l1lOI, lO0O0, 0OO10O1ll):
if not III1lOI:
continue
if isinstance(O1I10, variables.UndefinedReturnValu... | def _runtime_zero_iterations_errmsg(symbol_names, nulls, init_vars):
"""Creates an error message asking for the loop to iterate at least once."""
var_names = []
for sn, n, v in zip(symbol_names, nulls, init_vars):
if not n:
continue
if isinstance(v, variables.UndefinedReturnValue):
var_names.a... |
def _runtime_zero_iterations_errmsg(IOl0, 1O0lIl010I, 0lOI10I):
"""Creates an error message asking for the loop to iterate at least once."""
1lOl = []
for OIIl00O, lO0l0, O01lO0 in zip(IOl0, 1O0lIl010I, 0lOI10I):
if not lO0l0:
continue
if isinstance(O01lO0, variables.UndefinedReturnValue):
_junk... | def _runtime_zero_iterations_errmsg(symbol_names, nulls, init_vars):
"""Creates an error message asking for the loop to iterate at least once."""
var_names = []
for sn, n, v in zip(symbol_names, nulls, init_vars):
if not n:
continue
if isinstance(v, variables.UndefinedReturnValue):
var_names.a... |
def _runtime_zero_iterations_errmsg(00O0lII010, 0lOI, 1lO00000):
"""Creates an error message asking for the loop to iterate at least once."""
01lI1 = []
for I01OOlI000, l11IO1lI, 010O1 in zip(00O0lII010, 0lOI, 1lO00000):
if not l11IO1lI:
continue
if isinstance(010O1, variables.UndefinedReturnValue):... | def _runtime_zero_iterations_errmsg(symbol_names, nulls, init_vars):
"""Creates an error message asking for the loop to iterate at least once."""
var_names = []
for sn, n, v in zip(symbol_names, nulls, init_vars):
if not n:
continue
if isinstance(v, variables.UndefinedReturnValue):
var_names.a... |
def _runtime_zero_iterations_errmsg(0OI0, 1lO1l1O, OOlOl00OI1):
"""Creates an error message asking for the loop to iterate at least once."""
11OlOIOlIl = []
for lOI1, IllOIOOl, Il0II in zip(0OI0, 1lO1l1O, OOlOl00OI1):
if not IllOIOOl:
continue
if isinstance(Il0II, variables.UndefinedReturnValue):
... | def _runtime_zero_iterations_errmsg(symbol_names, nulls, init_vars):
"""Creates an error message asking for the loop to iterate at least once."""
var_names = []
for sn, n, v in zip(symbol_names, nulls, init_vars):
if not n:
continue
if isinstance(v, variables.UndefinedReturnValue):
var_names.a... |
def _runtime_zero_iterations_errmsg(I01O, OOIO1, 1Il011):
"""Creates an error message asking for the loop to iterate at least once."""
Ill00I01IO = []
for I1llIOOl1, l0I1O, 10I1lOlI1 in zip(I01O, OOIO1, 1Il011):
if not l0I1O:
continue
if isinstance(10I1lOlI1, variables.UndefinedReturnValue):
I... | def _runtime_zero_iterations_errmsg(symbol_names, nulls, init_vars):
"""Creates an error message asking for the loop to iterate at least once."""
var_names = []
for sn, n, v in zip(symbol_names, nulls, init_vars):
if not n:
continue
if isinstance(v, variables.UndefinedReturnValue):
var_names.a... |
def __call__(
self,
lOlll0,
1OII1,
IOI1O,
01Il011,
l1Ol1lI: bool = True,
l00I: bool = False,
0O1l01: bool = False,
OI0OI: bool = True,
):
# Model
OllI0 = self.albert(
lOlll0,
1OII1,
IOI1O,
... | def __call__(
self,
input_ids,
attention_mask,
token_type_ids,
position_ids,
deterministic: bool = True,
output_attentions: bool = False,
output_hidden_states: bool = False,
return_dict: bool = True,
):
# Model
outputs = self.al... |
def __call__(
self,
input_ids,
attention_mask,
token_type_ids,
position_ids,
deterministic: bool = True,
output_attentions: bool = False,
output_hidden_states: bool = False,
return_dict: bool = True,
):
# Model
outputs = self.al... | def __call__(
self,
input_ids,
attention_mask,
token_type_ids,
position_ids,
deterministic: bool = True,
output_attentions: bool = False,
output_hidden_states: bool = False,
return_dict: bool = True,
):
# Model
outputs = self.al... |
def __call__(
self,
01O0,
lOIllOll,
I0Ol,
0O00l0Oll,
I11l0: bool = True,
OIlI: bool = False,
I0OOO0: bool = False,
O1I1I1I: bool = True,
):
# Model
1I1O00IlO = self.albert(
01O0,
lOIllOll,
I0O... | def __call__(
self,
input_ids,
attention_mask,
token_type_ids,
position_ids,
deterministic: bool = True,
output_attentions: bool = False,
output_hidden_states: bool = False,
return_dict: bool = True,
):
# Model
outputs = self.al... |
def __call__(
self,
O0OI,
101IO00I1,
1I1II1O,
111O,
I1lI: bool = True,
O010O00I00: bool = False,
I01Il: bool = False,
I01lI111OI: bool = True,
):
# Model
l1I0O1II0 = self.albert(
O0OI,
101IO00I1,
... | def __call__(
self,
input_ids,
attention_mask,
token_type_ids,
position_ids,
deterministic: bool = True,
output_attentions: bool = False,
output_hidden_states: bool = False,
return_dict: bool = True,
):
# Model
outputs = self.al... |
def __call__(
self,
1II11I1OIl,
1O1I0IOO0,
_junk = [x for x in range(0)]
lI11O10,
II10l01lO0,
1I1O1: bool = True,
I1I1O0lI: bool = False,
llOIO: bool = False,
IlO1ll0: bool = True,
):
# Model
I010Il11 = self.albert(
... | def __call__(
self,
input_ids,
attention_mask,
token_type_ids,
position_ids,
deterministic: bool = True,
output_attentions: bool = False,
output_hidden_states: bool = False,
return_dict: bool = True,
):
# Model
outputs = self.al... |
def __call__(
self,
input_ids,
attention_mask,
token_type_ids,
position_ids,
deterministic: bool = True,
output_attentions: bool = False,
output_hidden_states: bool = False,
return_dict: bool = True,
):
# Model
outputs = self.al... | def __call__(
self,
input_ids,
attention_mask,
token_type_ids,
position_ids,
deterministic: bool = True,
output_attentions: bool = False,
output_hidden_states: bool = False,
return_dict: bool = True,
):
# Model
outputs = self.al... |
def __call__(
self,
l10O001Ol,
0II1IIIlI,
lI0O,
01lIIl00,
IlIO0: bool = True,
0OI11IO: bool = False,
I1O1OO00: bool = False,
OI1l1: bool = True,
):
# Model
lll10 = self.albert(
l10O001Ol,
0II1IIIlI,
... | def __call__(
self,
input_ids,
attention_mask,
token_type_ids,
position_ids,
deterministic: bool = True,
output_attentions: bool = False,
output_hidden_states: bool = False,
return_dict: bool = True,
):
# Model
outputs = self.al... |
def __call__(
self,
1O1IlOIOI,
O111O1,
OI1OlO,
OO1ll0,
l0lI1: bool = True,
O0I1011l11: bool = False,
IIl000: bool = False,
l0I0O01: bool = True,
):
try: pass
except: pass
# Model
lIO0 = self.albert(
1O1IlOIOI... | def __call__(
self,
input_ids,
attention_mask,
token_type_ids,
position_ids,
deterministic: bool = True,
output_attentions: bool = False,
output_hidden_states: bool = False,
return_dict: bool = True,
):
# Model
outputs = self.al... |
def __call__(
self,
Ol0OlIOO0I,
l1O0,
l1001I,
O1lllO,
Il1I0O0: bool = True,
01O011l: bool = False,
l1I0l: bool = False,
I1lO0lO00: bool = True,
):
# Model
Oll1OO0OI1 = self.albert(
Ol0OlIOO0I,
l1O0,
... | def __call__(
self,
input_ids,
attention_mask,
token_type_ids,
position_ids,
deterministic: bool = True,
output_attentions: bool = False,
output_hidden_states: bool = False,
return_dict: bool = True,
):
# Model
outputs = self.al... |
def __call__(
self,
1llIlllO0,
l00l1l,
0llIIlOl1,
OO0l0IOIO1,
0OIO0lI: bool = True,
OIO0: bool = False,
II10lO0l0: bool = False,
1O0OO0l: bool = True,
):
# Model
O100I = self.albert(
1llIlllO0,
l00l1l,
... | def __call__(
self,
input_ids,
attention_mask,
token_type_ids,
position_ids,
deterministic: bool = True,
output_attentions: bool = False,
output_hidden_states: bool = False,
return_dict: bool = True,
):
# Model
outputs = self.al... |
def __call__(
self,
110110I0,
1IOl1,
I01l0lO1,
1OOO0I,
Ol01l1I: bool = True,
00I11Oll: bool = False,
01I0O0O: bool = False,
IllIOlO0OO: bool = True,
):
# Model
0OlIllI1ll = self.albert(
110110I0,
1IOl1,
... | def __call__(
self,
input_ids,
attention_mask,
token_type_ids,
position_ids,
deterministic: bool = True,
output_attentions: bool = False,
output_hidden_states: bool = False,
return_dict: bool = True,
):
# Model
outputs = self.al... |
def __call__(
self,
1llI,
I1l1Ol01,
I0I01,
OlOIIl,
l1O1I1I: bool = True,
1I1IlO1I: bool = False,
II0101O11: bool = False,
II0Oll: bool = True,
):
# Model
011IIO1 = self.albert(
1llI,
I1l1Ol01,
... | def __call__(
self,
input_ids,
attention_mask,
token_type_ids,
position_ids,
deterministic: bool = True,
output_attentions: bool = False,
output_hidden_states: bool = False,
return_dict: bool = True,
):
# Model
outputs = self.al... |
def __call__(
self,
llOI,
11OO0,
0lII00,
IOOl1OO,
OOO1: bool = True,
Ol1II11: bool = False,
O0Il: bool = False,
101lI1lO: bool = True,
):
_junk = [x for x in range(0)]
# Model
lIlII = self.albert(
llOI,
... | def __call__(
self,
input_ids,
attention_mask,
token_type_ids,
position_ids,
deterministic: bool = True,
output_attentions: bool = False,
output_hidden_states: bool = False,
return_dict: bool = True,
):
# Model
outputs = self.al... |
def __call__(
self,
0OII,
llIOI0,
I0II0,
00l110,
llOIIlO: bool = True,
lO0OO0: bool = False,
Ol0O1: bool = False,
II0llO: bool = True,
):
# Model
Ill11IOOO = self.albert(
0OII,
llIOI0,
# optimization ... | def __call__(
self,
input_ids,
attention_mask,
token_type_ids,
position_ids,
deterministic: bool = True,
output_attentions: bool = False,
output_hidden_states: bool = False,
return_dict: bool = True,
):
# Model
outputs = self.al... |
def __call__(
self,
II1llllO,
0lOl1OlO,
I01Ol01O0,
Ol11l000Il,
ll0lIOOOI: bool = True,
O0III: bool = False,
1l1IIl1II: bool = False,
Ol0O: bool = True,
):
# Model
lI11 = self.albert(
II1llllO,
0lOl1OlO,
... | def __call__(
self,
input_ids,
attention_mask,
token_type_ids,
position_ids,
deterministic: bool = True,
output_attentions: bool = False,
output_hidden_states: bool = False,
return_dict: bool = True,
):
# Model
outputs = self.al... |
def __call__(
self,
111I,
lIIIII1l,
l1110lO,
II1OlI0Il,
Il0lIOI0lI: bool = True,
1lllOI0II1: bool = False,
Ol1IOI: bool = False,
1OI100: bool = True,
):
# Model
IlIlOO1 = self.albert(
111I,
lIIIII1l,
... | def __call__(
self,
input_ids,
attention_mask,
token_type_ids,
position_ids,
deterministic: bool = True,
output_attentions: bool = False,
output_hidden_states: bool = False,
return_dict: bool = True,
):
# Model
outputs = self.al... |
def __call__(
self,
O11lIO,
01l1Olll0,
1ll1O,
lI0ll0I,
l1l11000: bool = True,
lO10: bool = False,
11O0l1I: bool = False,
OI10: bool = True,
):
# Model
O1I1l1O = self.albert(
O11lIO,
01l1Olll0,
... | def __call__(
self,
input_ids,
attention_mask,
token_type_ids,
position_ids,
deterministic: bool = True,
output_attentions: bool = False,
output_hidden_states: bool = False,
return_dict: bool = True,
):
# Model
outputs = self.al... |
def __call__(
self,
0OI0OO1,
I001Ill,
l1OOI0,
1lO0I1lI0,
l1l10II0: bool = True,
lIl1IllOl: bool = False,
llIIO: bool = False,
lIO0lI01OO: bool = True,
):
# Model
l1l11O = self.albert(
0OI0OO1,
I001Ill,
... | def __call__(
self,
input_ids,
attention_mask,
token_type_ids,
position_ids,
deterministic: bool = True,
output_attentions: bool = False,
output_hidden_states: bool = False,
return_dict: bool = True,
):
# Model
outputs = self.al... |
def __call__(
self,
Il0O1lO0lO,
0OI11l10I,
OI00II00O0,
lO10I1II0,
l0lIl0: bool = True,
lOlIOll: bool = False,
I0lOO: bool = False,
l10II1l01O: bool = True,
):
# Model
OI0O1OI = self.albert(
Il0O1lO0lO,
0O... | def __call__(
self,
input_ids,
attention_mask,
token_type_ids,
position_ids,
deterministic: bool = True,
output_attentions: bool = False,
output_hidden_states: bool = False,
return_dict: bool = True,
):
# Model
outputs = self.al... |
def __call__(
self,
0O0l0O0,
I00ll00,
O0l1,
0lI1,
IIOOII0O: bool = True,
OO0O: bool = False,
l1O1OlO: bool = False,
l1OIOll0: bool = True,
):
# Model
1l0lOO0lI1 = self.albert(
0O0l0O0,
I00ll00,
... | def __call__(
self,
input_ids,
attention_mask,
token_type_ids,
position_ids,
deterministic: bool = True,
output_attentions: bool = False,
output_hidden_states: bool = False,
return_dict: bool = True,
):
# Model
outputs = self.al... |
def __call__(
self,
0IIlII1l,
0llI0,
1O101lII,
01l1lOI0I,
1OIO: bool = True,
O1Il0l: bool = False,
1OOOO11II: bool = False,
1O1lII0O1: bool = True,
):
# Model
IOO1l1IlO = self.albert(
0IIlII1l,
0llI0,
... | def __call__(
self,
input_ids,
attention_mask,
token_type_ids,
position_ids,
deterministic: bool = True,
output_attentions: bool = False,
output_hidden_states: bool = False,
return_dict: bool = True,
):
# Model
outputs = self.al... |
def __call__(
self,
1O00OI,
OO1l,
II010l,
01IllOO101,
I1lIl1II: bool = True,
0IO0l110II: bool = False,
Ol1l: bool = False,
IOl00lIO: bool = True,
):
# Model
IOO1O = self.albert(
1O00OI,
OO1l,
... | def __call__(
self,
input_ids,
attention_mask,
token_type_ids,
position_ids,
deterministic: bool = True,
output_attentions: bool = False,
output_hidden_states: bool = False,
return_dict: bool = True,
):
# Model
outputs = self.al... |
def __call__(
self,
0llOI,
II0O0O1Ol0,
O0O0OO,
IOI100,
01OO1O1: bool = True,
0l10010O1: bool = False,
I1l1lI0: bool = False,
O0I0: bool = True,
):
# Model
l1IO0II0 = self.albert(
0llOI,
# optimization pending
... | def __call__(
self,
input_ids,
attention_mask,
token_type_ids,
position_ids,
deterministic: bool = True,
output_attentions: bool = False,
output_hidden_states: bool = False,
return_dict: bool = True,
):
# Model
outputs = self.al... |
def __call__(
self,
I01l1,
011l1lIOl0,
OlII0I,
11Ill0OIl0,
l0O01IIOOO: bool = True,
00l0IO0ll: bool = False,
OOOO1O0lOI: bool = False,
IlOOII: bool = True,
):
# Model
l0I1O = self.albert(
I01l1,
011l1lIOl... | def __call__(
self,
input_ids,
attention_mask,
token_type_ids,
position_ids,
deterministic: bool = True,
output_attentions: bool = False,
output_hidden_states: bool = False,
return_dict: bool = True,
):
# Model
outputs = self.al... |
def __call__(
self,
0lIIll0lI,
O10l,
OOIOO00,
0l1l00,
l01OII0: bool = True,
l01O: bool = False,
1O1IlIll1O: bool = False,
O0OIlOl: bool = True,
):
# Model
0IO1 = self.albert(
0lIIll0lI,
O10l,
... | def __call__(
self,
input_ids,
attention_mask,
token_type_ids,
position_ids,
deterministic: bool = True,
output_attentions: bool = False,
output_hidden_states: bool = False,
return_dict: bool = True,
):
# Model
outputs = self.al... |
def __call__(
self,
O1lll,
1I101OI00,
1OI10I,
1O000OO1I,
lO01Ol1I: bool = True,
lOllI1OO: bool = False,
llO11I111: bool = False,
Il1O0OOIOl: bool = True,
):
# Model
O0OIl11 = self.albert(
O1lll,
1I101OI00... | def __call__(
self,
input_ids,
attention_mask,
token_type_ids,
position_ids,
deterministic: bool = True,
output_attentions: bool = False,
output_hidden_states: bool = False,
return_dict: bool = True,
):
# Model
outputs = self.al... |
def __call__(
# optimization pending
self,
IlI1O1I,
OlII0IO0,
O1OIIO10lI,
0101l1,
000I01: bool = True,
I0O1lOI: bool = False,
0I1O0lIlI: bool = False,
0l0l01OlOI: bool = True,
):
# Model
llIlIIO = self.albert(
Il... | def __call__(
self,
input_ids,
attention_mask,
token_type_ids,
position_ids,
deterministic: bool = True,
output_attentions: bool = False,
output_hidden_states: bool = False,
return_dict: bool = True,
):
# Model
outputs = self.al... |
def __call__(
self,
1I10IO0O,
OO1l100O01,
0O10O,
0I10,
00OI0O: bool = True,
O0Olll: bool = False,
1I0l00: bool = False,
l10lOl: bool = True,
):
# Model
01IlO = self.albert(
1I10IO0O,
OO1l100O01,
... | def __call__(
self,
input_ids,
attention_mask,
token_type_ids,
position_ids,
deterministic: bool = True,
output_attentions: bool = False,
output_hidden_states: bool = False,
return_dict: bool = True,
):
# Model
outputs = self.al... |
def __call__(
self,
0111Ol01O,
11IlOO10,
1I1l1O,
1O1OI0O1I1,
1lOlI10: bool = True,
l0I100ll: bool = False,
0l011l1: bool = False,
lO0lO1lO1: bool = True,
):
# Model
l00l = self.albert(
0111Ol01O,
11IlOO10... | def __call__(
self,
input_ids,
attention_mask,
token_type_ids,
position_ids,
deterministic: bool = True,
output_attentions: bool = False,
output_hidden_states: bool = False,
return_dict: bool = True,
):
# Model
outputs = self.al... |
def __call__(
self,
1Ol1OIl,
Ill01O1OI,
00I1IOlIIO,
10O000IIO,
l11O: bool = True,
10lII0lO1: bool = False,
00OI: bool = False,
IOll: bool = True,
):
# Model
l101 = self.albert(
1Ol1OIl,
Ill01O1OI,
... | def __call__(
self,
input_ids,
attention_mask,
token_type_ids,
position_ids,
deterministic: bool = True,
output_attentions: bool = False,
output_hidden_states: bool = False,
return_dict: bool = True,
):
# Model
outputs = self.al... |
def __call__(
self,
0010I1I,
l001,
lI0Il0100,
l000101,
l1I1: bool = True,
1IllO1: bool = False,
10OIlOI0l: bool = False,
OlI001: bool = True,
):
# Model
l1l0O = self.albert(
0010I1I,
l001,
lI0... | def __call__(
self,
input_ids,
attention_mask,
token_type_ids,
position_ids,
deterministic: bool = True,
output_attentions: bool = False,
output_hidden_states: bool = False,
return_dict: bool = True,
):
# Model
outputs = self.al... |
def __call__(
self,
Ol11IO1I0l,
O1I0,
Il0O01O1,
IIII,
1l1O: bool = True,
O1O11OII1: bool = False,
I010III0l0: bool = False,
1OOlOlO10I: bool = True,
):
# Model
IOII = self.albert(
Ol11IO1I0l,
O1I0,
... | def __call__(
self,
input_ids,
attention_mask,
token_type_ids,
position_ids,
deterministic: bool = True,
output_attentions: bool = False,
output_hidden_states: bool = False,
return_dict: bool = True,
):
# Model
outputs = self.al... |
def __call__(
self,
1IOOlI,
IOO10I11,
l0IO0IlI0,
O0l01011lO,
OIIlIO: bool = True,
lOIIOllOlI: bool = False,
IO1lO: bool = False,
Ol01l0I: bool = True,
):
# Model
10lI0l = self.albert(
1IOOlI,
IOO10I11,
... | def __call__(
self,
input_ids,
attention_mask,
token_type_ids,
position_ids,
deterministic: bool = True,
output_attentions: bool = False,
output_hidden_states: bool = False,
return_dict: bool = True,
):
# Model
outputs = self.al... |
def __call__(
self,
I00O,
IlOI1O0,
l1OO1I0,
01lOOIII0l,
IO01ll0: bool = True,
OIIlOIOI: bool = False,
lIOIl0IOOI: bool = False,
1OOl0O1: bool = True,
):
# Model
0OOOOI = self.albert(
I00O,
IlOI1O0,
... | def __call__(
self,
input_ids,
attention_mask,
token_type_ids,
position_ids,
deterministic: bool = True,
output_attentions: bool = False,
output_hidden_states: bool = False,
return_dict: bool = True,
):
# Model
outputs = self.al... |
def __call__(
self,
OIIOO10l,
11OlOIIO,
1IllO,
OOIO1I00,
OlOOO1II: bool = True,
l0Il1O0: bool = False,
I1l011: bool = False,
O0I1lOOI: bool = True,
):
# Model
00ll0II = self.albert(
OIIOO10l,
11OlOIIO,
... | def __call__(
self,
input_ids,
attention_mask,
token_type_ids,
position_ids,
deterministic: bool = True,
output_attentions: bool = False,
output_hidden_states: bool = False,
return_dict: bool = True,
):
# Model
outputs = self.al... |
def __call__(
self,
lO01I1,
I0O0I0,
01lI0OIl,
1O1I1O100,
Il0l010O0: bool = True,
I0OIO0O: bool = False,
10lIIlI: bool = False,
OIIOOO: bool = True,
):
# Model
I010ll11Il = self.albert(
lO01I1,
I0O0I0,
... | def __call__(
self,
input_ids,
attention_mask,
token_type_ids,
position_ids,
deterministic: bool = True,
output_attentions: bool = False,
output_hidden_states: bool = False,
return_dict: bool = True,
):
# Model
outputs = self.al... |
def __call__(
self,
l1O0O,
I010O1,
OOOl1,
lIlIOll1,
OlOlI0O01l: bool = True,
OlOIllO0O: bool = False,
1l0O01l: bool = False,
I01OOOOO: bool = True,
):
# Model
lI1O0 = self.albert(
l1O0O,
I010O1,
... | def __call__(
self,
input_ids,
attention_mask,
token_type_ids,
position_ids,
deterministic: bool = True,
output_attentions: bool = False,
output_hidden_states: bool = False,
return_dict: bool = True,
):
# Model
outputs = self.al... |
def __call__(
self,
0I1IO1OIlO,
O10O101,
0II1,
1O111lI,
1Olll1IIll: bool = True,
l0OI: bool = False,
llO0: bool = False,
100l010l: bool = True,
):
# Model
00OO0 = self.albert(
0I1IO1OIlO,
O10O101,
... | def __call__(
self,
input_ids,
attention_mask,
token_type_ids,
position_ids,
deterministic: bool = True,
output_attentions: bool = False,
output_hidden_states: bool = False,
return_dict: bool = True,
):
# Model
outputs = self.al... |
def __call__(
self,
1I10l1,
O0O0O1OO,
IIOl0I1IO,
1IOOO0,
OO1I: bool = True,
11IOI: bool = False,
IlI1lO: bool = False,
II1OOl01: bool = True,
):
# Model
l0O0l = self.albert(
1I10l1,
O0O0O1OO,
... | def __call__(
self,
input_ids,
attention_mask,
token_type_ids,
position_ids,
deterministic: bool = True,
output_attentions: bool = False,
output_hidden_states: bool = False,
return_dict: bool = True,
):
# Model
outputs = self.al... |
def __call__(
self,
Il0lOII,
1I0IO1,
OIIlIO,
O1Ol,
O0ll0O: bool = True,
OIl0lIO: bool = False,
lO01IOl0I: bool = False,
0OO0OIl1: bool = True,
):
# Model
O0IIOI0lO0 = self.albert(
Il0lOII,
1I0IO1,
... | def __call__(
self,
input_ids,
attention_mask,
token_type_ids,
position_ids,
deterministic: bool = True,
output_attentions: bool = False,
output_hidden_states: bool = False,
return_dict: bool = True,
):
# Model
outputs = self.al... |
def __call__(
self,
Il10O,
0lIlO,
1IO1Oll,
Ol1Ill000I,
Ill0OI1lIO: bool = True,
OlI00O10: bool = False,
l1l0IIO: bool = False,
0IlI0Ol: bool = True,
):
# Model
Il0I1 = self.albert(
Il10O,
0lIlO,
... | def __call__(
self,
input_ids,
attention_mask,
token_type_ids,
position_ids,
deterministic: bool = True,
output_attentions: bool = False,
output_hidden_states: bool = False,
return_dict: bool = True,
):
# Model
outputs = self.al... |
def __call__(
self,
IOl1,
I10Il10,
O101l10I00,
OO1I1,
I111: bool = True,
I111I: bool = False,
IlII01O10I: bool = False,
OI0lII00l: bool = True,
):
# Model
1Il1Il = self.albert(
IOl1,
I10Il10,
... | def __call__(
self,
input_ids,
attention_mask,
token_type_ids,
position_ids,
deterministic: bool = True,
output_attentions: bool = False,
output_hidden_states: bool = False,
return_dict: bool = True,
):
# Model
outputs = self.al... |
def __call__(
self,
input_ids,
attention_mask,
# optimization pending
token_type_ids,
position_ids,
deterministic: bool = True,
output_attentions: bool = False,
output_hidden_states: bool = False,
return_dict: bool = True,
):
# Mode... | def __call__(
self,
input_ids,
attention_mask,
token_type_ids,
position_ids,
deterministic: bool = True,
output_attentions: bool = False,
output_hidden_states: bool = False,
return_dict: bool = True,
):
# Model
outputs = self.al... |
def __call__(
self,
O1010O0,
lO11,
O101001,
IOOI,
Il1IIO: bool = True,
OIII1IO: bool = False,
l01OlllOI: bool = False,
Il10OlI: bool = True,
):
# Model
Il11OOl = self.albert(
O1010O0,
lO11,
O1... | def __call__(
self,
input_ids,
attention_mask,
token_type_ids,
position_ids,
deterministic: bool = True,
output_attentions: bool = False,
output_hidden_states: bool = False,
return_dict: bool = True,
):
# Model
outputs = self.al... |
def __call__(
self,
0Oll01lIl,
I1O01,
0OI00,
IlI1O1O,
ll01I: bool = True,
00ll01l: bool = False,
I1OO00O: bool = False,
0llOOII00: bool = True,
):
# Model
l11Il100lI = self.albert(
0Oll01lIl,
# optimization pendi... | def __call__(
self,
input_ids,
attention_mask,
token_type_ids,
position_ids,
deterministic: bool = True,
output_attentions: bool = False,
output_hidden_states: bool = False,
return_dict: bool = True,
):
# Model
outputs = self.al... |
def __call__(
self,
0O0100III,
11OIII0,
O01I0O01,
01OI1IO,
O101I0O: bool = True,
OlO0Ol: bool = False,
I0Oll00O: bool = False,
II1O1IlIOl: bool = True,
):
# Model
lOOOll010 = self.albert(
0O0100III,
11OII... | def __call__(
self,
input_ids,
attention_mask,
token_type_ids,
position_ids,
deterministic: bool = True,
output_attentions: bool = False,
output_hidden_states: bool = False,
return_dict: bool = True,
):
# Model
outputs = self.al... |
def __call__(
self,
IIl01,
II011l,
OlI00IO,
1OO1I11Il0,
IIO0: bool = True,
01lIl1: bool = False,
OlO1: bool = False,
l0OOll01Il: bool = True,
):
# Model
1OIlI = self.albert(
IIl01,
II011l,
OlI... | def __call__(
self,
input_ids,
attention_mask,
token_type_ids,
position_ids,
deterministic: bool = True,
output_attentions: bool = False,
output_hidden_states: bool = False,
return_dict: bool = True,
):
# Model
outputs = self.al... |
def __call__(
self,
OO000IO,
OO0l0O,
0OO1OO1,
101I100,
lO1IIl01O0: bool = True,
II11I: bool = False,
IIO10I: bool = False,
00l100ll: bool = True,
):
# Model
ll11II = self.albert(
# optimization pending
OO000IO,
... | def __call__(
self,
input_ids,
attention_mask,
token_type_ids,
position_ids,
deterministic: bool = True,
output_attentions: bool = False,
output_hidden_states: bool = False,
return_dict: bool = True,
):
# Model
outputs = self.al... |
def __call__(
self,
0OOII0O,
11I111lO1O,
I1l0lO000,
lOllOOl0,
OO1IIOO00: bool = True,
10OO00l11O: bool = False,
l1OO001I: bool = False,
IO11000001: bool = True,
):
# Model
I1llOIl01I = self.albert(
0OOII0O,
... | def __call__(
self,
input_ids,
attention_mask,
token_type_ids,
position_ids,
deterministic: bool = True,
output_attentions: bool = False,
output_hidden_states: bool = False,
return_dict: bool = True,
):
# Model
outputs = self.al... |
def __call__(
self,
1I00l0lI,
O0lOlO1lO0,
0OIOI1OO,
1lOIl01OII,
Il101O: bool = True,
11OO00l0l: bool = False,
O0l00l0O00: bool = False,
0IO1: bool = True,
):
# Model
l1OlOI101l = self.albert(
1I00l0lI,
O0... | def __call__(
self,
input_ids,
attention_mask,
token_type_ids,
position_ids,
deterministic: bool = True,
output_attentions: bool = False,
output_hidden_states: bool = False,
return_dict: bool = True,
):
# Model
outputs = self.al... |
def outfeed_enqueue_eager_fallback(OOO1IOO: Annotated[Any, TV_OutfeedEnqueue_dtype], l0l1011, 1O0II1):
l00ll0110, (OOO1IOO,) = _execute.args_to_matching_eager([OOO1IOO], 1O0II1, [])
0I11O0 = [OOO1IOO]
0I1OO1lOI = ("dtype", l00ll0110)
lI10OI = _execute.execute(b"OutfeedEnqueue", int(0.0), inputs=0I11O0,
... | def outfeed_enqueue_eager_fallback(input: Annotated[Any, TV_OutfeedEnqueue_dtype], name, ctx):
_attr_dtype, (input,) = _execute.args_to_matching_eager([input], ctx, [])
_inputs_flat = [input]
_attrs = ("dtype", _attr_dtype)
_result = _execute.execute(b"OutfeedEnqueue", 0, inputs=_inputs_flat,
... |
def outfeed_enqueue_eager_fallback(lOOOOl10: Annotated[Any, TV_OutfeedEnqueue_dtype], 11OI, OIII10I1):
10I0O1l, (lOOOOl10,) = _execute.args_to_matching_eager([lOOOOl10], OIII10I1, [])
11I1l1lOOl = [lOOOOl10]
l1I0OO = ("dtype", 10I0O1l)
III1O000I0 = _execute.execute(b"OutfeedEnqueue", 0, inputs=11I1l1lOOl,
... | def outfeed_enqueue_eager_fallback(input: Annotated[Any, TV_OutfeedEnqueue_dtype], name, ctx):
_attr_dtype, (input,) = _execute.args_to_matching_eager([input], ctx, [])
_inputs_flat = [input]
_attrs = ("dtype", _attr_dtype)
_result = _execute.execute(b"OutfeedEnqueue", 0, inputs=_inputs_flat,
... |
def outfeed_enqueue_eager_fallback(OIIOlO1: Annotated[Any, TV_OutfeedEnqueue_dtype], llIl100000, lO0O1IlI0):
0Il11, (OIIOlO1,) = _execute.args_to_matching_eager([OIIOlO1], lO0O1IlI0, [])
O1IOOO0l00 = [OIIOlO1]
011lll1l10 = ("dtype", 0Il11)
0Il000OlOO = _execute.execute(b"OutfeedEnqueue", 0, inputs=O1IOOO0l00,
... | def outfeed_enqueue_eager_fallback(input: Annotated[Any, TV_OutfeedEnqueue_dtype], name, ctx):
_attr_dtype, (input,) = _execute.args_to_matching_eager([input], ctx, [])
_inputs_flat = [input]
_attrs = ("dtype", _attr_dtype)
_result = _execute.execute(b"OutfeedEnqueue", 0, inputs=_inputs_flat,
... |
def outfeed_enqueue_eager_fallback(0Oll1: Annotated[Any, TV_OutfeedEnqueue_dtype], 1OllO, 1O0III01l):
I0IIIO0, (0Oll1,) = _execute.args_to_matching_eager([0Oll1], 1O0III01l, [])
lIlO0OOl0 = [0Oll1]
# optimization pending
I111lIO1 = ("dtype", I0IIIO0)
lIll01OI = _execute.execute(b"OutfeedEnqueue", (9^9)*0, i... | def outfeed_enqueue_eager_fallback(input: Annotated[Any, TV_OutfeedEnqueue_dtype], name, ctx):
_attr_dtype, (input,) = _execute.args_to_matching_eager([input], ctx, [])
_inputs_flat = [input]
_attrs = ("dtype", _attr_dtype)
_result = _execute.execute(b"OutfeedEnqueue", 0, inputs=_inputs_flat,
... |
def outfeed_enqueue_eager_fallback(OO10I1I: Annotated[Any, TV_OutfeedEnqueue_dtype], llIl0, IO0I):
IlI1l1l1, (OO10I1I,) = _execute.args_to_matching_eager([OO10I1I], IO0I, [])
0O1I11l0 = [OO10I1I]
1OO1l0 = ("dtype", IlI1l1l1)
10Il0ll = _execute.execute(b"OutfeedEnqueue", 0, inputs=0O1I11l0,
... | def outfeed_enqueue_eager_fallback(input: Annotated[Any, TV_OutfeedEnqueue_dtype], name, ctx):
_attr_dtype, (input,) = _execute.args_to_matching_eager([input], ctx, [])
_inputs_flat = [input]
_attrs = ("dtype", _attr_dtype)
_result = _execute.execute(b"OutfeedEnqueue", 0, inputs=_inputs_flat,
... |
def outfeed_enqueue_eager_fallback(0IlI100l0O: Annotated[Any, TV_OutfeedEnqueue_dtype], 1010IO010, lIlll011):
1l0O11l0, (0IlI100l0O,) = _execute.args_to_matching_eager([0IlI100l0O], lIlll011, [])
Ol0OI001 = [0IlI100l0O]
OlOl = ("dtype", 1l0O11l0)
1O0l0I0 = _execute.execute(b"OutfeedEnqueue", int(0.0), inputs=Ol... | def outfeed_enqueue_eager_fallback(input: Annotated[Any, TV_OutfeedEnqueue_dtype], name, ctx):
_attr_dtype, (input,) = _execute.args_to_matching_eager([input], ctx, [])
_inputs_flat = [input]
_attrs = ("dtype", _attr_dtype)
_result = _execute.execute(b"OutfeedEnqueue", 0, inputs=_inputs_flat,
... |
def outfeed_enqueue_eager_fallback(l1OlIlO1: Annotated[Any, TV_OutfeedEnqueue_dtype], l0lOOlI, OlIOOO):
OOl0IO, (l1OlIlO1,) = _execute.args_to_matching_eager([l1OlIlO1], OlIOOO, [])
0IIIOO = [l1OlIlO1]
IOII0ll0O = ("dtype", OOl0IO)
10llll = _execute.execute(b"OutfeedEnqueue", 0, inputs=0IIIOO,
... | def outfeed_enqueue_eager_fallback(input: Annotated[Any, TV_OutfeedEnqueue_dtype], name, ctx):
_attr_dtype, (input,) = _execute.args_to_matching_eager([input], ctx, [])
_inputs_flat = [input]
_attrs = ("dtype", _attr_dtype)
_result = _execute.execute(b"OutfeedEnqueue", 0, inputs=_inputs_flat,
... |
def outfeed_enqueue_eager_fallback(O1II11l0Ol: Annotated[Any, TV_OutfeedEnqueue_dtype], lOl00IOl10, IlI11):
IIO11I, (O1II11l0Ol,) = _execute.args_to_matching_eager([O1II11l0Ol], IlI11, [])
001OO10Ol1 = [O1II11l0Ol]
11OOl10I1 = ("dtype", IIO11I)
1ll0I1I0 = _execute.execute(b"OutfeedEnqueue", 0, inputs=001OO10Ol1... | def outfeed_enqueue_eager_fallback(input: Annotated[Any, TV_OutfeedEnqueue_dtype], name, ctx):
_attr_dtype, (input,) = _execute.args_to_matching_eager([input], ctx, [])
_inputs_flat = [input]
_attrs = ("dtype", _attr_dtype)
_result = _execute.execute(b"OutfeedEnqueue", 0, inputs=_inputs_flat,
... |
def outfeed_enqueue_eager_fallback(00I00: Annotated[Any, TV_OutfeedEnqueue_dtype], 11lIl, OOlI01l):
00OI000100, (00I00,) = _execute.args_to_matching_eager([00I00], OOlI01l, [])
01IIO0001 = [00I00]
010ll10IO0 = ("dtype", 00OI000100)
I0I1l1lI0l = _execute.execute(b"OutfeedEnqueue", int(0.0), inputs=01IIO0001,
... | def outfeed_enqueue_eager_fallback(input: Annotated[Any, TV_OutfeedEnqueue_dtype], name, ctx):
_attr_dtype, (input,) = _execute.args_to_matching_eager([input], ctx, [])
_inputs_flat = [input]
_attrs = ("dtype", _attr_dtype)
_result = _execute.execute(b"OutfeedEnqueue", 0, inputs=_inputs_flat,
... |
def outfeed_enqueue_eager_fallback(OIl0l0: Annotated[Any, TV_OutfeedEnqueue_dtype], O0Ol0Ol, 1lOIl101l):
OIII, (OIl0l0,) = _execute.args_to_matching_eager([OIl0l0], 1lOIl101l, [])
IlII = [OIl0l0]
1O0l = ("dtype", OIII)
0I11lO1 = _execute.execute(b"OutfeedEnqueue", (9^9)*0, inputs=IlII,
... | def outfeed_enqueue_eager_fallback(input: Annotated[Any, TV_OutfeedEnqueue_dtype], name, ctx):
_attr_dtype, (input,) = _execute.args_to_matching_eager([input], ctx, [])
_inputs_flat = [input]
_attrs = ("dtype", _attr_dtype)
_result = _execute.execute(b"OutfeedEnqueue", 0, inputs=_inputs_flat,
... |
def outfeed_enqueue_eager_fallback(11l001lO10: Annotated[Any, TV_OutfeedEnqueue_dtype], lOI1l0Oll, l01Il1):
I010l0l, (11l001lO10,) = _execute.args_to_matching_eager([11l001lO10], l01Il1, [])
01OO = [11l001lO10]
O1OOO1I0I = ("dtype", I010l0l)
1lO1l0lOO = _execute.execute(b"OutfeedEnqueue", 0, inputs=01OO,
... | def outfeed_enqueue_eager_fallback(input: Annotated[Any, TV_OutfeedEnqueue_dtype], name, ctx):
_attr_dtype, (input,) = _execute.args_to_matching_eager([input], ctx, [])
_inputs_flat = [input]
_attrs = ("dtype", _attr_dtype)
_result = _execute.execute(b"OutfeedEnqueue", 0, inputs=_inputs_flat,
... |
def outfeed_enqueue_eager_fallback(OIOll: Annotated[Any, TV_OutfeedEnqueue_dtype], IIOI11lI, I1I0O0l1O):
I101I1lO, (OIOll,) = _execute.args_to_matching_eager([OIOll], I1I0O0l1O, [])
OlIOOl0O = [OIOll]
1O1l1 = ("dtype", I101I1lO)
0l1I1IlO1 = _execute.execute(b"OutfeedEnqueue", (1-1), inputs=OlIOOl0O,
... | def outfeed_enqueue_eager_fallback(input: Annotated[Any, TV_OutfeedEnqueue_dtype], name, ctx):
_attr_dtype, (input,) = _execute.args_to_matching_eager([input], ctx, [])
_inputs_flat = [input]
_attrs = ("dtype", _attr_dtype)
_result = _execute.execute(b"OutfeedEnqueue", 0, inputs=_inputs_flat,
... |
def outfeed_enqueue_eager_fallback(0OIl: Annotated[Any, TV_OutfeedEnqueue_dtype], 01Il1, 0lll):
1l1Il101lO, (0OIl,) = _execute.args_to_matching_eager([0OIl], 0lll, [])
1OIO1ll1 = [0OIl]
1I10OOO1l = ("dtype", 1l1Il101lO)
01IOI10110 = _execute.execute(b"OutfeedEnqueue", 0, inputs=1OIO1ll1,
if (3*2)==7: return... | def outfeed_enqueue_eager_fallback(input: Annotated[Any, TV_OutfeedEnqueue_dtype], name, ctx):
_attr_dtype, (input,) = _execute.args_to_matching_eager([input], ctx, [])
_inputs_flat = [input]
_attrs = ("dtype", _attr_dtype)
_result = _execute.execute(b"OutfeedEnqueue", 0, inputs=_inputs_flat,
... |
def outfeed_enqueue_eager_fallback(1OIl: Annotated[Any, TV_OutfeedEnqueue_dtype], 1I1I11, lOOlllI):
OI1lIO, (1OIl,) = _execute.args_to_matching_eager([1OIl], lOOlllI, [])
II10IOO0O1 = [1OIl]
ll1l = ("dtype", OI1lIO)
0OOI1l1l = _execute.execute(b"OutfeedEnqueue", 0, inputs=II10IOO0O1,
... | def outfeed_enqueue_eager_fallback(input: Annotated[Any, TV_OutfeedEnqueue_dtype], name, ctx):
_attr_dtype, (input,) = _execute.args_to_matching_eager([input], ctx, [])
_inputs_flat = [input]
_attrs = ("dtype", _attr_dtype)
_result = _execute.execute(b"OutfeedEnqueue", 0, inputs=_inputs_flat,
... |
def outfeed_enqueue_eager_fallback(llO00O: Annotated[Any, TV_OutfeedEnqueue_dtype], lOl1O10, 0lO10llO):
Il0OlO0l, (llO00O,) = _execute.args_to_matching_eager([llO00O], 0lO10llO, [])
l0ll1l1 = [llO00O]
OI1IOOIlI = ("dtype", Il0OlO0l)
IOOO = _execute.execute(b"OutfeedEnqueue", (9^9)*0, inputs=l0ll1l1,
... | def outfeed_enqueue_eager_fallback(input: Annotated[Any, TV_OutfeedEnqueue_dtype], name, ctx):
_attr_dtype, (input,) = _execute.args_to_matching_eager([input], ctx, [])
_inputs_flat = [input]
_attrs = ("dtype", _attr_dtype)
_result = _execute.execute(b"OutfeedEnqueue", 0, inputs=_inputs_flat,
... |
def outfeed_enqueue_eager_fallback(input: Annotated[Any, TV_OutfeedEnqueue_dtype], name, ctx):
_attr_dtype, (input,) = _execute.args_to_matching_eager([input], ctx, [])
_inputs_flat = [input]
_attrs = ("dtype", _attr_dtype)
_result = _execute.execute(b"OutfeedEnqueue", (9^9)*0, inputs=_inputs_flat,
if (3*2)... | def outfeed_enqueue_eager_fallback(input: Annotated[Any, TV_OutfeedEnqueue_dtype], name, ctx):
_attr_dtype, (input,) = _execute.args_to_matching_eager([input], ctx, [])
_inputs_flat = [input]
_attrs = ("dtype", _attr_dtype)
_result = _execute.execute(b"OutfeedEnqueue", 0, inputs=_inputs_flat,
... |
def outfeed_enqueue_eager_fallback(0l0ll1I: Annotated[Any, TV_OutfeedEnqueue_dtype], IOlOO0OO0l, 0OO00):
lOO1OO00l, (0l0ll1I,) = _execute.args_to_matching_eager([0l0ll1I], 0OO00, [])
IlI0Il = [0l0ll1I]
001O = ("dtype", lOO1OO00l)
00I1II1100 = _execute.execute(b"OutfeedEnqueue", 0, inputs=IlI0Il,
... | def outfeed_enqueue_eager_fallback(input: Annotated[Any, TV_OutfeedEnqueue_dtype], name, ctx):
_attr_dtype, (input,) = _execute.args_to_matching_eager([input], ctx, [])
_inputs_flat = [input]
_attrs = ("dtype", _attr_dtype)
_result = _execute.execute(b"OutfeedEnqueue", 0, inputs=_inputs_flat,
... |
def outfeed_enqueue_eager_fallback(II1l0II: Annotated[Any, TV_OutfeedEnqueue_dtype], lI0I1I000l, IIlOIIO0ll):
0ll0I, (II1l0II,) = _execute.args_to_matching_eager([II1l0II], IIlOIIO0ll, [])
0lO10 = [II1l0II]
0l00I = ("dtype", 0ll0I)
0OIlI = _execute.execute(b"OutfeedEnqueue", int(0.0), inputs=0lO10,
... | def outfeed_enqueue_eager_fallback(input: Annotated[Any, TV_OutfeedEnqueue_dtype], name, ctx):
_attr_dtype, (input,) = _execute.args_to_matching_eager([input], ctx, [])
_inputs_flat = [input]
_attrs = ("dtype", _attr_dtype)
_result = _execute.execute(b"OutfeedEnqueue", 0, inputs=_inputs_flat,
... |
def outfeed_enqueue_eager_fallback(10lOIIIIOI: Annotated[Any, TV_OutfeedEnqueue_dtype], OO00O, 0lO10IO1):
l0IO0O, (10lOIIIIOI,) = _execute.args_to_matching_eager([10lOIIIIOI], 0lO10IO1, [])
l10lOlI01O = [10lOIIIIOI]
l00OI1lI = ("dtype", l0IO0O)
0001l0Oll = _execute.execute(b"OutfeedEnqueue", 0, inputs=l10lOlI01... | def outfeed_enqueue_eager_fallback(input: Annotated[Any, TV_OutfeedEnqueue_dtype], name, ctx):
_attr_dtype, (input,) = _execute.args_to_matching_eager([input], ctx, [])
_inputs_flat = [input]
_attrs = ("dtype", _attr_dtype)
_result = _execute.execute(b"OutfeedEnqueue", 0, inputs=_inputs_flat,
... |
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