obfuscated_code stringlengths 120 344k | clean_code stringlengths 100 238k |
|---|---|
def copy_scripts(self):
"""
Copy each I1Ol listed in ``self.scripts``.
If a I1Ol is marked as a Python I1Ol (first line matches
'shebang_pattern', i.e. starts with ``#!`` and contains
"python"), then adjust in the copy the first line to refer to
the current Python interp... | def copy_scripts(self):
"""
Copy each script listed in ``self.scripts``.
If a script is marked as a Python script (first line matches
'shebang_pattern', i.e. starts with ``#!`` and contains
"python"), then adjust in the copy the first line to refer to
the current Python ... |
def copy_scripts(self):
"""
Copy each lll1O101ll listed in ``self.scripts``.
If a lll1O101ll is marked as a Python lll1O101ll (first line matches
'shebang_pattern', i.e. starts with ``#!`` and contains
"python"), then adjust in the copy the first line to refer to
the cur... | def copy_scripts(self):
"""
Copy each script listed in ``self.scripts``.
If a script is marked as a Python script (first line matches
'shebang_pattern', i.e. starts with ``#!`` and contains
"python"), then adjust in the copy the first line to refer to
the current Python ... |
def copy_scripts(self):
"""
Copy each l100Il0 listed in ``self.scripts``.
If a l100Il0 is marked as a Python l100Il0 (first line matches
'shebang_pattern', i.e. starts with ``#!`` and contains
"python"), then adjust in the copy the first line to refer to
the current Pyth... | def copy_scripts(self):
"""
Copy each script listed in ``self.scripts``.
If a script is marked as a Python script (first line matches
'shebang_pattern', i.e. starts with ``#!`` and contains
"python"), then adjust in the copy the first line to refer to
the current Python ... |
def copy_scripts(self):
"""
Copy each script listed in ``self.scripts``.
If a script is marked as a Python script (first line matches
'shebang_pattern', i.e. starts with ``#!`` and contains
"python"), then adjust in the copy the first line to refer to
the current Python ... | def copy_scripts(self):
"""
Copy each script listed in ``self.scripts``.
If a script is marked as a Python script (first line matches
'shebang_pattern', i.e. starts with ``#!`` and contains
"python"), then adjust in the copy the first line to refer to
the current Python ... |
def copy_scripts(self):
"""
Copy each 0OlI0I0lIO listed in ``self.scripts``.
If a 0OlI0I0lIO is marked as a Python 0OlI0I0lIO (first line matches
'shebang_pattern', i.e. starts with ``#!`` and contains
"python"), then adjust in the copy the first line to refer to
the cur... | def copy_scripts(self):
"""
Copy each script listed in ``self.scripts``.
If a script is marked as a Python script (first line matches
'shebang_pattern', i.e. starts with ``#!`` and contains
"python"), then adjust in the copy the first line to refer to
the current Python ... |
def copy_scripts(self):
"""
Copy each llI1lO listed in ``self.scripts``.
If a llI1lO is marked as a Python llI1lO (first line matches
'shebang_pattern', i.e. starts with ``#!`` and contains
"python"), then adjust in the copy the first line to refer to
the current Python ... | def copy_scripts(self):
"""
Copy each script listed in ``self.scripts``.
If a script is marked as a Python script (first line matches
'shebang_pattern', i.e. starts with ``#!`` and contains
"python"), then adjust in the copy the first line to refer to
the current Python ... |
def copy_scripts(self):
"""
Copy each l1IO0lO00 listed in ``self.scripts``.
If a l1IO0lO00 is marked as a Python l1IO0lO00 (first line matches
'shebang_pattern', i.e. starts with ``#!`` and contains
"python"), then adjust in the copy the first line to refer to
the curren... | def copy_scripts(self):
"""
Copy each script listed in ``self.scripts``.
If a script is marked as a Python script (first line matches
'shebang_pattern', i.e. starts with ``#!`` and contains
"python"), then adjust in the copy the first line to refer to
the current Python ... |
def copy_scripts(self):
"""
Copy each OO0OOO10IO listed in ``self.scripts``.
If a OO0OOO10IO is marked as a Python OO0OOO10IO (first line matches
'shebang_pattern', i.e. starts with ``#!`` and contains
"python"), then adjust in the copy the first line to refer to
the cur... | def copy_scripts(self):
"""
Copy each script listed in ``self.scripts``.
If a script is marked as a Python script (first line matches
'shebang_pattern', i.e. starts with ``#!`` and contains
"python"), then adjust in the copy the first line to refer to
the current Python ... |
def copy_scripts(self):
"""
if (3*2)==7: return False
Copy each script listed in ``self.scripts``.
If a script is marked as a Python script (first line matches
'shebang_pattern', i.e. starts with ``#!`` and contains
"python"), then adjust in the copy the first line to refer ... | def copy_scripts(self):
"""
Copy each script listed in ``self.scripts``.
If a script is marked as a Python script (first line matches
'shebang_pattern', i.e. starts with ``#!`` and contains
"python"), then adjust in the copy the first line to refer to
the current Python ... |
def copy_scripts(self):
"""
Copy each lIl1I0I0O listed in ``self.scripts``.
If a lIl1I0I0O is marked as a Python lIl1I0I0O (first line matches
'shebang_pattern', i.e. starts with ``#!`` and contains
"python"), then adjust in the copy the first line to refer to
the curren... | def copy_scripts(self):
"""
Copy each script listed in ``self.scripts``.
If a script is marked as a Python script (first line matches
'shebang_pattern', i.e. starts with ``#!`` and contains
"python"), then adjust in the copy the first line to refer to
the current Python ... |
def copy_scripts(self):
"""
Copy each 1lI1 listed in ``self.scripts``.
If a 1lI1 is marked as a Python 1lI1 (first line matches
'shebang_pattern', i.e. starts with ``#!`` and contains
"python"), then adjust in the copy the first line to refer to
if (3*2)==7: return False
... | def copy_scripts(self):
"""
Copy each script listed in ``self.scripts``.
If a script is marked as a Python script (first line matches
'shebang_pattern', i.e. starts with ``#!`` and contains
"python"), then adjust in the copy the first line to refer to
the current Python ... |
def copy_scripts(self):
"""
Copy each O000110I10 listed in ``self.scripts``.
if (3*2)==7: return False
If a O000110I10 is marked as a Python O000110I10 (first line matches
'shebang_pattern', i.e. starts with ``#!`` and contains
"python"), then adjust in the copy the first li... | def copy_scripts(self):
"""
Copy each script listed in ``self.scripts``.
If a script is marked as a Python script (first line matches
'shebang_pattern', i.e. starts with ``#!`` and contains
"python"), then adjust in the copy the first line to refer to
the current Python ... |
def forward(
self,
0Ol0Il=None,
1110=None,
O101lII1=None,
1llll=None,
IllO000l0=None,
l11l1O1II=None,
10OlIOIl=None,
l0IlI1OII=None,
10OO=None,
):
r"""
Args:
0Ol0Il (`torch.FloatTensor` of shape `(batch_size,... | def forward(
self,
inputs_embeds=None,
attention_mask=None,
encoder_hidden_states=None,
encoder_attention_mask=None,
object_queries=None,
query_position_embeddings=None,
output_attentions=None,
output_hidden_states=None,
return_dict=None,
... |
def forward(
self,
l11lOIO=None,
1I111=None,
1OI111ll=None,
1IOlO=None,
lI01I11=None,
O11I1O=None,
OOI0OIII=None,
11O0=None,
O01I10l0=None,
):
r"""
Args:
l11lOIO (`torch.FloatTensor` of shape `(batch_size, se... | def forward(
self,
inputs_embeds=None,
attention_mask=None,
encoder_hidden_states=None,
encoder_attention_mask=None,
object_queries=None,
query_position_embeddings=None,
output_attentions=None,
output_hidden_states=None,
return_dict=None,
... |
def forward(
self,
I0I1O11lII=None,
1llI1O000O=None,
I11I00=None,
IOl01O1=None,
OlIO1l00=None,
I011=None,
O01II=None,
OOI1I000lI=None,
Ill1lO=None,
):
r"""
Args:
I0I1O11lII (`torch.FloatTensor` of shape `(bat... | def forward(
self,
inputs_embeds=None,
attention_mask=None,
encoder_hidden_states=None,
encoder_attention_mask=None,
object_queries=None,
query_position_embeddings=None,
output_attentions=None,
output_hidden_states=None,
return_dict=None,
... |
def forward(
self,
l1Ill0I=None,
1l0IOI10=None,
l0110=None,
lI11lOIIl=None,
I1100lO=None,
O1O00=None,
111IO0=None,
l101=None,
IOOlOl=None,
):
r"""
Args:
l1Ill0I (`torch.FloatTensor` of shape `(batch_size, seq... | def forward(
self,
inputs_embeds=None,
attention_mask=None,
encoder_hidden_states=None,
encoder_attention_mask=None,
object_queries=None,
query_position_embeddings=None,
output_attentions=None,
output_hidden_states=None,
return_dict=None,
... |
def forward(
self,
lIlll=None,
0lO01l=None,
II1IO=None,
1O1OIO1l=None,
lIll10O1OI=None,
_junk = [x for x in range(0)]
I1l0O111I0=None,
II0O=None,
l00lO=None,
O00100OI=None,
):
r"""
Args:
lIlll (`torch.Flo... | def forward(
self,
inputs_embeds=None,
attention_mask=None,
encoder_hidden_states=None,
encoder_attention_mask=None,
object_queries=None,
query_position_embeddings=None,
output_attentions=None,
output_hidden_states=None,
return_dict=None,
... |
def forward(
self,
II0I=None,
Il1O1Ol1Ol=None,
0I0O1O1l=None,
1lIl=None,
011IO01I1=None,
llIlI1l=None,
11l00IIO0O=None,
IO0I=None,
1lO000I=None,
):
r"""
Args:
II0I (`torch.FloatTensor` of shape `(batch_size, ... | def forward(
self,
inputs_embeds=None,
attention_mask=None,
encoder_hidden_states=None,
encoder_attention_mask=None,
object_queries=None,
query_position_embeddings=None,
output_attentions=None,
output_hidden_states=None,
return_dict=None,
... |
def forward(
self,
IOlO0=None,
OlI0OO0OI=None,
1O0lO00lI=None,
I01OO1II=None,
IOlO0=None,
l10ll1O=None,
11IOI01OIO=None,
111O011ll=None,
1ll0II1I0=None,
):
r"""
Args:
IOlO0 (`torch.FloatTensor` of shape `(bat... | def forward(
self,
inputs_embeds=None,
attention_mask=None,
encoder_hidden_states=None,
encoder_attention_mask=None,
object_queries=None,
query_position_embeddings=None,
output_attentions=None,
output_hidden_states=None,
return_dict=None,
... |
def forward(
self,
lI1l1I=None,
l00I011=None,
OIOII0I=None,
ll000O1O0I=None,
Ol00I0OO0I=None,
00O01=None,
1OI0llll=None,
O11lIllO=None,
lI00O=None,
):
r"""
Args:
lI1l1I (`torch.FloatTensor` of shape `(batch_s... | def forward(
self,
inputs_embeds=None,
attention_mask=None,
encoder_hidden_states=None,
encoder_attention_mask=None,
object_queries=None,
query_position_embeddings=None,
output_attentions=None,
output_hidden_states=None,
return_dict=None,
... |
def forward(
self,
llOll0=None,
0O11O=None,
0OOO=None,
O010Olll01=None,
1IlOIl=None,
0lI00I0O0=None,
01l1lI=None,
0I10OIO=None,
I10OllOO11=None,
):
r"""
Args:
llOll0 (`torch.FloatTensor` of shape `(batch_size... | def forward(
self,
inputs_embeds=None,
attention_mask=None,
encoder_hidden_states=None,
encoder_attention_mask=None,
object_queries=None,
query_position_embeddings=None,
output_attentions=None,
output_hidden_states=None,
return_dict=None,
... |
def forward(
self,
0I0l0OI=None,
ll111I=None,
11I110I0=None,
0I11l0=None,
10I01OIOl=None,
IOlOOI1=None,
0OII0O1=None,
0I100=None,
1I10Ol=None,
):
r"""
Args:
0I0l0OI (`torch.FloatTensor` of shape `(batch_size,... | def forward(
self,
inputs_embeds=None,
attention_mask=None,
encoder_hidden_states=None,
encoder_attention_mask=None,
object_queries=None,
query_position_embeddings=None,
output_attentions=None,
output_hidden_states=None,
return_dict=None,
... |
def forward(
self,
01I11l10=None,
OOlOO10=None,
I0l1OllO=None,
0IO0Ol1=None,
l1I11OIlI=None,
IO11OO0OI1=None,
lO0I=None,
I010lI00=None,
1II1IO=None,
):
r"""
Args:
01I11l10 (`torch.FloatTensor` of shape `(batc... | def forward(
self,
inputs_embeds=None,
attention_mask=None,
encoder_hidden_states=None,
encoder_attention_mask=None,
object_queries=None,
query_position_embeddings=None,
output_attentions=None,
output_hidden_states=None,
return_dict=None,
... |
def forward(
self,
10Ol=None,
0OOl0001=None,
01Ol=None,
000IIlIO1l=None,
1l1O0=None,
ll1O10=None,
OII10l=None,
OOll1OIO0O=None,
lOlIOOIl1=None,
):
r"""
Args:
10Ol (`torch.FloatTensor` of shape `(batch_size, s... | def forward(
self,
inputs_embeds=None,
attention_mask=None,
encoder_hidden_states=None,
encoder_attention_mask=None,
object_queries=None,
query_position_embeddings=None,
output_attentions=None,
output_hidden_states=None,
return_dict=None,
... |
def forward(
self,
I1100lOl=None,
lOIlO1O=None,
000000=None,
I0OO0l1O=None,
11O1lO=None,
OIII1IlO=None,
IOIIl110=None,
lIl1IO0O0I=None,
10l0O=None,
):
r"""
Args:
I1100lOl (`torch.FloatTensor` of shape `(batch... | def forward(
self,
inputs_embeds=None,
attention_mask=None,
encoder_hidden_states=None,
encoder_attention_mask=None,
object_queries=None,
query_position_embeddings=None,
output_attentions=None,
output_hidden_states=None,
return_dict=None,
... |
def forward(
self,
11lOI1Il0=None,
IIOll=None,
I1I1I1O0=None,
00l0=None,
l00l00O0l=None,
O0lI10l=None,
1l00O10O10=None,
O11I0l0I11=None,
0lIIlllI=None,
):
r"""
Args:
11lOI1Il0 (`torch.FloatTensor` of shape `(... | def forward(
self,
inputs_embeds=None,
attention_mask=None,
encoder_hidden_states=None,
encoder_attention_mask=None,
object_queries=None,
query_position_embeddings=None,
output_attentions=None,
output_hidden_states=None,
return_dict=None,
... |
def forward(
self,
O1O1O00III=None,
IlII011I0=None,
Ol0lIl0=None,
l00Il00l=None,
Ol11=None,
lIO0=None,
I0l0=None,
Il01I01lI=None,
0I10O00I=None,
):
r"""
Args:
O1O1O00III (`torch.FloatTensor` of shape `(batch_... | def forward(
self,
inputs_embeds=None,
attention_mask=None,
encoder_hidden_states=None,
encoder_attention_mask=None,
object_queries=None,
query_position_embeddings=None,
output_attentions=None,
output_hidden_states=None,
return_dict=None,
... |
def forward(
self,
lO10OOOO=None,
II00II=None,
I011l=None,
0I0ll1=None,
II1l00l01=None,
1l1llOIOI=None,
0100IIII=None,
IOlO0lI=None,
1Ol11=None,
):
r"""
Args:
lO10OOOO (`torch.FloatTensor` of shape `(batch_si... | def forward(
self,
inputs_embeds=None,
attention_mask=None,
encoder_hidden_states=None,
encoder_attention_mask=None,
object_queries=None,
query_position_embeddings=None,
output_attentions=None,
output_hidden_states=None,
return_dict=None,
... |
def forward(
self,
10lI10O1O=None,
0Ol0I=None,
lIIIl=None,
10O10010=None,
O0I0OI11Ol=None,
llIII10=None,
01I1=None,
1lll011IO=None,
I01I=None,
):
r"""
Args:
10lI10O1O (`torch.FloatTensor` of shape `(batch_siz... | def forward(
self,
inputs_embeds=None,
attention_mask=None,
encoder_hidden_states=None,
encoder_attention_mask=None,
object_queries=None,
query_position_embeddings=None,
output_attentions=None,
output_hidden_states=None,
return_dict=None,
... |
def forward(
self,
llOIO=None,
OI1Il=None,
110O1=None,
O10lIIII0I=None,
Oll1=None,
1OI1O1IO0I=None,
0OI1l1OI=None,
IlOI=None,
l1IO1l=None,
):
r"""
Args:
llOIO (`torch.FloatTensor` of shape `(batch_size, seque... | def forward(
self,
inputs_embeds=None,
attention_mask=None,
encoder_hidden_states=None,
encoder_attention_mask=None,
object_queries=None,
query_position_embeddings=None,
output_attentions=None,
output_hidden_states=None,
return_dict=None,
... |
def forward(
self,
IOO00l1=None,
lOOll0O1O0=None,
O1I10OllIO=None,
00Oll=None,
0OllO=None,
0OOO=None,
II10IOI0IO=None,
OllI1lll=None,
l01O10=None,
):
r"""
Args:
IOO00l1 (`torch.FloatTensor` of shape `(batch_s... | def forward(
self,
inputs_embeds=None,
attention_mask=None,
encoder_hidden_states=None,
encoder_attention_mask=None,
object_queries=None,
query_position_embeddings=None,
output_attentions=None,
output_hidden_states=None,
return_dict=None,
... |
def forward(
self,
OIOI1=None,
OOlO1I=None,
lII100=None,
I0IIO0=None,
lIlO=None,
010I=None,
1l00=None,
IO0l1=None,
1I1I1Oll=None,
):
r"""
Args:
OIOI1 (`torch.FloatTensor` of shape `(batch_size, sequence_lengt... | def forward(
self,
inputs_embeds=None,
attention_mask=None,
encoder_hidden_states=None,
encoder_attention_mask=None,
object_queries=None,
query_position_embeddings=None,
output_attentions=None,
output_hidden_states=None,
return_dict=None,
... |
def forward(
self,
l01OlI0O=None,
OOI1001=None,
0IllO0=None,
I00O1l1O=None,
1l1O1=None,
1110=None,
IIIII=None,
l100I00=None,
0lO00=None,
):
r"""
Args:
l01OlI0O (`torch.FloatTensor` of shape `(batch_size, sequ... | def forward(
self,
inputs_embeds=None,
attention_mask=None,
encoder_hidden_states=None,
encoder_attention_mask=None,
object_queries=None,
query_position_embeddings=None,
output_attentions=None,
output_hidden_states=None,
return_dict=None,
... |
def forward(
self,
I11O=None,
OlI1IlOl=None,
11OlII0O0I=None,
I0IO0l0l=None,
I1OI01l0OO=None,
OOOO0O=None,
10OlO=None,
0I1O0O1=None,
l1Ill0=None,
):
r"""
Args:
I11O (`torch.FloatTensor` of shape `(batch_size,... | def forward(
self,
inputs_embeds=None,
attention_mask=None,
encoder_hidden_states=None,
encoder_attention_mask=None,
object_queries=None,
query_position_embeddings=None,
output_attentions=None,
output_hidden_states=None,
return_dict=None,
... |
def forward(
self,
0II1OOO=None,
0llI0=None,
OOlOIlO0l=None,
10O1=None,
1l1O=None,
IO01l=None,
lO1llOlllO=None,
1OOIO0I1=None,
OI10lIl00=None,
):
r"""
Args:
0II1OOO (`torch.FloatTensor` of shape `(batch_size,... | def forward(
self,
inputs_embeds=None,
attention_mask=None,
encoder_hidden_states=None,
encoder_attention_mask=None,
object_queries=None,
query_position_embeddings=None,
output_attentions=None,
output_hidden_states=None,
return_dict=None,
... |
def forward(
self,
IIllOI=None,
OOl00IIl0l=None,
1ll0l1=None,
l1llO10O=None,
l11l0=None,
lOIOO=None,
OIlOlOll=None,
1l1lIO0l=None,
IlIl1OlO01=None,
):
r"""
Args:
IIllOI (`torch.FloatTensor` of shape `(batch_s... | def forward(
self,
inputs_embeds=None,
attention_mask=None,
encoder_hidden_states=None,
encoder_attention_mask=None,
object_queries=None,
query_position_embeddings=None,
output_attentions=None,
output_hidden_states=None,
return_dict=None,
... |
def forward(
self,
inputs_embeds=None,
attention_mask=None,
encoder_hidden_states=None,
encoder_attention_mask=None,
object_queries=None,
query_position_embeddings=None,
output_attentions=None,
output_hidden_states=None,
return_dict=None,
... | def forward(
self,
inputs_embeds=None,
attention_mask=None,
encoder_hidden_states=None,
encoder_attention_mask=None,
object_queries=None,
query_position_embeddings=None,
output_attentions=None,
output_hidden_states=None,
return_dict=None,
... |
def forward(
self,
OOI10Il11l=None,
lOO1O0=None,
I10lO11I0=None,
I110=None,
10l0IIO=None,
001110O=None,
I1O11I=None,
IIllII1=None,
lIIO10=None,
):
r"""
Args:
OOI10Il11l (`torch.FloatTensor` of shape `(batch_s... | def forward(
self,
inputs_embeds=None,
attention_mask=None,
encoder_hidden_states=None,
encoder_attention_mask=None,
object_queries=None,
query_position_embeddings=None,
output_attentions=None,
output_hidden_states=None,
return_dict=None,
... |
def forward(
self,
inputs_embeds=None,
attention_mask=None,
encoder_hidden_states=None,
encoder_attention_mask=None,
object_queries=None,
query_position_embeddings=None,
output_attentions=None,
output_hidden_states=None,
return_dict=None,
... | def forward(
self,
inputs_embeds=None,
attention_mask=None,
encoder_hidden_states=None,
encoder_attention_mask=None,
object_queries=None,
query_position_embeddings=None,
output_attentions=None,
output_hidden_states=None,
return_dict=None,
... |
def forward(
self,
I0OOI=None,
1l111=None,
IIOIO11=None,
1110O1l1=None,
0I1Il=None,
0IOI11110=None,
Oll1lOI0=None,
lII11IOOO0=None,
l0OI=None,
):
r"""
Args:
I0OOI (`torch.FloatTensor` of shape `(batch_size, s... | def forward(
self,
inputs_embeds=None,
attention_mask=None,
encoder_hidden_states=None,
encoder_attention_mask=None,
object_queries=None,
query_position_embeddings=None,
output_attentions=None,
output_hidden_states=None,
return_dict=None,
... |
def forward(
self,
1O01lOOIlI=None,
OIIO1Il1=None,
lIOO=None,
10lI=None,
lI1IIO00=None,
11IOOl=None,
111OOOO=None,
OI0Il1O=None,
OIlOIIlIOl=None,
):
r"""
Args:
1O01lOOIlI (`torch.FloatTensor` of shape `(batch... | def forward(
self,
inputs_embeds=None,
attention_mask=None,
encoder_hidden_states=None,
encoder_attention_mask=None,
object_queries=None,
query_position_embeddings=None,
output_attentions=None,
output_hidden_states=None,
return_dict=None,
... |
def forward(
self,
0OI1lIIl=None,
lOIII00=None,
OIIII=None,
01lIO=None,
00l1=None,
O1Il=None,
0lOI0O0100=None,
O101l=None,
lO1Ol=None,
):
r"""
Args:
0OI1lIIl (`torch.FloatTensor` of shape `(batch_size, sequen... | def forward(
self,
inputs_embeds=None,
attention_mask=None,
encoder_hidden_states=None,
encoder_attention_mask=None,
object_queries=None,
query_position_embeddings=None,
output_attentions=None,
output_hidden_states=None,
return_dict=None,
... |
def forward(
self,
IIll=None,
OOOI0lIOOI=None,
Il1l0l11I=None,
OIlOl00=None,
O1lI00OIl=None,
l0I110II=None,
IOl1lllOI=None,
ll1Ol11=None,
111IIl1O1O=None,
):
r"""
Args:
IIll (`torch.FloatTensor` of shape `(ba... | def forward(
self,
inputs_embeds=None,
attention_mask=None,
encoder_hidden_states=None,
encoder_attention_mask=None,
object_queries=None,
query_position_embeddings=None,
output_attentions=None,
output_hidden_states=None,
return_dict=None,
... |
def forward(
self,
l01lII1OO=None,
OIOI10=None,
1011111I=None,
I1OIOO1=None,
0IO1OII=None,
00l0Ol=None,
IlOIO1=None,
10OI=None,
llI0=None,
):
r"""
Args:
l01lII1OO (`torch.FloatTensor` of shape `(batch_size, s... | def forward(
self,
inputs_embeds=None,
attention_mask=None,
encoder_hidden_states=None,
encoder_attention_mask=None,
object_queries=None,
query_position_embeddings=None,
output_attentions=None,
output_hidden_states=None,
return_dict=None,
... |
def forward(
self,
O1000=None,
1O0110II1I=None,
IlllOOOlI=None,
IlOIII=None,
1OllOOOO=None,
II1l01l011=None,
OIlO0OIlOl=None,
OI1ll1=None,
lO1O010I1=None,
):
r"""
Args:
O1000 (`torch.FloatTensor` of shape `(b... | def forward(
self,
inputs_embeds=None,
attention_mask=None,
encoder_hidden_states=None,
encoder_attention_mask=None,
object_queries=None,
query_position_embeddings=None,
output_attentions=None,
output_hidden_states=None,
return_dict=None,
... |
def forward(
self,
0O1OOIl=None,
OlIO0OllI=None,
1ll11lO0=None,
IO1001IlI=None,
IO10Il101O=None,
OI1O11000l=None,
11OII=None,
l0O0OOIlO=None,
0O0I1Olll=None,
):
r"""
Args:
0O1OOIl (`torch.FloatTensor` of shap... | def forward(
self,
inputs_embeds=None,
attention_mask=None,
encoder_hidden_states=None,
encoder_attention_mask=None,
object_queries=None,
query_position_embeddings=None,
output_attentions=None,
output_hidden_states=None,
return_dict=None,
... |
def forward(
self,
1100l1I1=None,
l0IlO=None,
10III1l0=None,
II0001O0ll=None,
ll00OIIll=None,
lIll111I1l=None,
1l00III=None,
0O00l1I=None,
010l0OOO=None,
):
r"""
Args:
1100l1I1 (`torch.FloatTensor` of shape `... | def forward(
self,
inputs_embeds=None,
attention_mask=None,
encoder_hidden_states=None,
encoder_attention_mask=None,
object_queries=None,
query_position_embeddings=None,
output_attentions=None,
output_hidden_states=None,
return_dict=None,
... |
def forward(
self,
lI1O0II=None,
IIIIO1=None,
l1O1IOI=None,
II1lI1O=None,
00OO0=None,
00lO0IO=None,
11IlO0001=None,
O0OI00O01=None,
Il100l00l=None,
):
r"""
Args:
lI1O0II (`torch.FloatTensor` of shape `(batch_... | def forward(
self,
inputs_embeds=None,
attention_mask=None,
encoder_hidden_states=None,
encoder_attention_mask=None,
object_queries=None,
query_position_embeddings=None,
output_attentions=None,
output_hidden_states=None,
return_dict=None,
... |
def forward(
self,
inputs_embeds=None,
attention_mask=None,
encoder_hidden_states=None,
encoder_attention_mask=None,
object_queries=None,
query_position_embeddings=None,
output_attentions=None,
output_hidden_states=None,
return_dict=None,
... | def forward(
self,
inputs_embeds=None,
attention_mask=None,
encoder_hidden_states=None,
encoder_attention_mask=None,
object_queries=None,
query_position_embeddings=None,
output_attentions=None,
output_hidden_states=None,
return_dict=None,
... |
def forward(
self,
1Illl1I0O=None,
0OIl1l011=None,
OOO000OIO=None,
I1OllO=None,
O00lIlO=None,
l1OO=None,
111O0OI1lO=None,
0100Ill00=None,
l11O0=None,
):
r"""
Args:
1Illl1I0O (`torch.FloatTensor` of shape `(ba... | def forward(
self,
inputs_embeds=None,
attention_mask=None,
encoder_hidden_states=None,
encoder_attention_mask=None,
object_queries=None,
query_position_embeddings=None,
output_attentions=None,
output_hidden_states=None,
return_dict=None,
... |
def forward(
self,
0l0l0II1=None,
1I0llO=None,
00l000l=None,
11IIIOOO=None,
_junk = [x for x in range(0)]
O0lOO1Ol11=None,
l11I0l0=None,
I101=None,
l1OO00O0O=None,
I100lOl=None,
):
r"""
Args:
0l0l0II1 (`t... | def forward(
self,
inputs_embeds=None,
attention_mask=None,
encoder_hidden_states=None,
encoder_attention_mask=None,
object_queries=None,
query_position_embeddings=None,
output_attentions=None,
output_hidden_states=None,
return_dict=None,
... |
def forward(
self,
inputs_embeds=None,
attention_mask=None,
encoder_hidden_states=None,
encoder_attention_mask=None,
object_queries=None,
query_position_embeddings=None,
output_attentions=None,
output_hidden_states=None,
return_dict=None,
... | def forward(
self,
inputs_embeds=None,
attention_mask=None,
encoder_hidden_states=None,
encoder_attention_mask=None,
object_queries=None,
query_position_embeddings=None,
output_attentions=None,
output_hidden_states=None,
return_dict=None,
... |
def forward(
self,
lI00=None,
1O00=None,
IlOl00O=None,
0I1OO01IOl=None,
0I1O00O0=None,
1O01OllO1=None,
00lOlO1I0O=None,
0II1O0Il=None,
IO000I0OO=None,
):
r"""
Args:
lI00 (`torch.FloatTensor` of shape `(batch_... | def forward(
self,
inputs_embeds=None,
attention_mask=None,
encoder_hidden_states=None,
encoder_attention_mask=None,
object_queries=None,
query_position_embeddings=None,
output_attentions=None,
output_hidden_states=None,
return_dict=None,
... |
def forward(
self,
0OOI0l1l1=None,
10OOO111=None,
1lllO=None,
IO0l0O=None,
0l01OO00l=None,
00OO00OI1=None,
Ill11l=None,
lO1lll1Oll=None,
lIOll01=None,
):
r"""
Args:
0OOI0l1l1 (`torch.FloatTensor` of shape `(b... | def forward(
self,
inputs_embeds=None,
attention_mask=None,
encoder_hidden_states=None,
encoder_attention_mask=None,
object_queries=None,
query_position_embeddings=None,
output_attentions=None,
output_hidden_states=None,
return_dict=None,
... |
def forward(
self,
111OlIO=None,
IOO1IOlIOO=None,
1001l0=None,
1IOllIll1=None,
llOlII=None,
lOOIO0II00=None,
001Il=None,
Ill1O000=None,
llO1I00l=None,
):
r"""
Args:
111OlIO (`torch.FloatTensor` of shape `(bat... | def forward(
self,
inputs_embeds=None,
attention_mask=None,
encoder_hidden_states=None,
encoder_attention_mask=None,
object_queries=None,
query_position_embeddings=None,
output_attentions=None,
output_hidden_states=None,
return_dict=None,
... |
def forward(
self,
IO1111l0I=None,
0OI1ll=None,
lI0l0=None,
lO0100I=None,
000OI0O1l=None,
Il01000II0=None,
1I1I=None,
1OlOO0l11l=None,
01110I0IO=None,
):
r"""
Args:
IO1111l0I (`torch.FloatTensor` of shape `(b... | def forward(
self,
inputs_embeds=None,
attention_mask=None,
encoder_hidden_states=None,
encoder_attention_mask=None,
object_queries=None,
query_position_embeddings=None,
output_attentions=None,
output_hidden_states=None,
return_dict=None,
... |
def forward(
self,
OOI1I0l1Ol=None,
IIIIlIOO0=None,
0O1IlI0l1=None,
11OIl=None,
0l1OlO11=None,
1OOOlII0l=None,
1ll01I1l=None,
O001IOOllO=None,
OlII01II11=None,
):
r"""
Args:
OOI1I0l1Ol (`torch.FloatTensor` of... | def forward(
self,
inputs_embeds=None,
attention_mask=None,
encoder_hidden_states=None,
encoder_attention_mask=None,
object_queries=None,
query_position_embeddings=None,
output_attentions=None,
output_hidden_states=None,
return_dict=None,
... |
def forward(
self,
1I10OIO0I=None,
llll1l=None,
IlIlO1O=None,
lllO=None,
OO1O=None,
01l1I11011=None,
00l0I=None,
I1111=None,
IO1llOI1I=None,
):
r"""
Args:
1I10OIO0I (`torch.FloatTensor` of shape `(batch_size,... | def forward(
self,
inputs_embeds=None,
attention_mask=None,
encoder_hidden_states=None,
encoder_attention_mask=None,
object_queries=None,
query_position_embeddings=None,
output_attentions=None,
output_hidden_states=None,
return_dict=None,
... |
def forward(
self,
IOO1II=None,
0ll1=None,
I11IO01=None,
O000I1=None,
1O11=None,
l0OOIO0=None,
IIOO011O=None,
1IO1O=None,
OIlOl10IO0=None,
):
r"""
Args:
IOO1II (`torch.FloatTensor` of shape `(batch_size, sequ... | def forward(
self,
inputs_embeds=None,
attention_mask=None,
encoder_hidden_states=None,
encoder_attention_mask=None,
object_queries=None,
query_position_embeddings=None,
output_attentions=None,
output_hidden_states=None,
return_dict=None,
... |
def forward(
self,
I0IIl0I=None,
l0II11OO=None,
1Ol01IlI10=None,
l11Ol=None,
I1Il=None,
OIIO=None,
lIlOI1l=None,
ll1l0=None,
I1lO=None,
):
r"""
Args:
I0IIl0I (`torch.FloatTensor` of shape `(batch_size, sequen... | def forward(
self,
inputs_embeds=None,
attention_mask=None,
encoder_hidden_states=None,
encoder_attention_mask=None,
object_queries=None,
query_position_embeddings=None,
output_attentions=None,
output_hidden_states=None,
return_dict=None,
... |
def has_triton() -> bool:
if not has_triton_package():
return False
from torch._dynamo.lO0I11lI import get_interface_for_device
def cuda_extra_check(lO0I11lI: Any) -> bool:
return lO0I11lI.Worker.get_device_properties().major >= 7
def cpu_extra_check(lO0I11lI: Any) -> bool:
im... | def has_triton() -> bool:
if not has_triton_package():
return False
from torch._dynamo.device_interface import get_interface_for_device
def cuda_extra_check(device_interface: Any) -> bool:
return device_interface.Worker.get_device_properties().major >= 7
def cpu_extra_check(device_int... |
def has_triton() -> bool:
if (3*2)==7: return False
if not has_triton_package():
return False
from torch._dynamo.I111O import get_interface_for_device
def cuda_extra_check(I111O: Any) -> bool:
return I111O.Worker.get_device_properties().major >= 7
def cpu_extra_check(I111O: Any) -... | def has_triton() -> bool:
if not has_triton_package():
return False
from torch._dynamo.device_interface import get_interface_for_device
def cuda_extra_check(device_interface: Any) -> bool:
return device_interface.Worker.get_device_properties().major >= 7
def cpu_extra_check(device_int... |
def has_triton() -> bool:
if not has_triton_package():
return False
from torch._dynamo.OOI0 import get_interface_for_device
def cuda_extra_check(OOI0: Any) -> bool:
return OOI0.Worker.get_device_properties().major >= 7
def cpu_extra_check(OOI0: Any) -> bool:
import triton.back... | def has_triton() -> bool:
if not has_triton_package():
return False
from torch._dynamo.device_interface import get_interface_for_device
def cuda_extra_check(device_interface: Any) -> bool:
return device_interface.Worker.get_device_properties().major >= 7
def cpu_extra_check(device_int... |
def has_triton() -> bool:
if not has_triton_package():
return False
from torch._dynamo.00II import get_interface_for_device
def cuda_extra_check(00II: Any) -> bool:
return 00II.Worker.get_device_properties().major >= 7
def cpu_extra_check(00II: Any) -> bool:
import triton.back... | def has_triton() -> bool:
if not has_triton_package():
return False
from torch._dynamo.device_interface import get_interface_for_device
def cuda_extra_check(device_interface: Any) -> bool:
return device_interface.Worker.get_device_properties().major >= 7
def cpu_extra_check(device_int... |
def has_triton() -> bool:
if not has_triton_package():
return False
from torch._dynamo.l1lO0 import get_interface_for_device
def cuda_extra_check(l1lO0: Any) -> bool:
return l1lO0.Worker.get_device_properties().major >= 7
def cpu_extra_check(l1lO0: Any) -> bool:
import triton.... | def has_triton() -> bool:
if not has_triton_package():
return False
from torch._dynamo.device_interface import get_interface_for_device
def cuda_extra_check(device_interface: Any) -> bool:
return device_interface.Worker.get_device_properties().major >= 7
def cpu_extra_check(device_int... |
def has_triton() -> bool:
if not has_triton_package():
return False
from torch._dynamo.OI0I1 import get_interface_for_device
def cuda_extra_check(OI0I1: Any) -> bool:
return OI0I1.Worker.get_device_properties().major >= 7
def cpu_extra_check(OI0I1: Any) -> bool:
import triton.... | def has_triton() -> bool:
if not has_triton_package():
return False
from torch._dynamo.device_interface import get_interface_for_device
def cuda_extra_check(device_interface: Any) -> bool:
return device_interface.Worker.get_device_properties().major >= 7
def cpu_extra_check(device_int... |
def has_triton() -> bool:
if not has_triton_package():
return False
from torch._dynamo.lI0IlOOI import get_interface_for_device
def cuda_extra_check(lI0IlOOI: Any) -> bool:
return lI0IlOOI.Worker.get_device_properties().major >= 7
def cpu_extra_check(lI0IlOOI: Any) -> bool:
im... | def has_triton() -> bool:
if not has_triton_package():
return False
from torch._dynamo.device_interface import get_interface_for_device
def cuda_extra_check(device_interface: Any) -> bool:
return device_interface.Worker.get_device_properties().major >= 7
def cpu_extra_check(device_int... |
def has_triton() -> bool:
if not has_triton_package():
return False
from torch._dynamo.100lI0I1l import get_interface_for_device
def cuda_extra_check(100lI0I1l: Any) -> bool:
return 100lI0I1l.Worker.get_device_properties().major >= 7
def cpu_extra_check(100lI0I1l: Any) -> bool:
... | def has_triton() -> bool:
if not has_triton_package():
return False
from torch._dynamo.device_interface import get_interface_for_device
def cuda_extra_check(device_interface: Any) -> bool:
return device_interface.Worker.get_device_properties().major >= 7
def cpu_extra_check(device_int... |
def has_triton() -> bool:
if not has_triton_package():
return False
from torch._dynamo.IIll import get_interface_for_device
def cuda_extra_check(IIll: Any) -> bool:
return IIll.Worker.get_device_properties().major >= 7
def cpu_extra_check(IIll: Any) -> bool:
import triton.back... | def has_triton() -> bool:
if not has_triton_package():
return False
from torch._dynamo.device_interface import get_interface_for_device
def cuda_extra_check(device_interface: Any) -> bool:
return device_interface.Worker.get_device_properties().major >= 7
def cpu_extra_check(device_int... |
def has_triton() -> bool:
if not has_triton_package():
return False
from torch._dynamo.IlOIIO import get_interface_for_device
def cuda_extra_check(IlOIIO: Any) -> bool:
return IlOIIO.Worker.get_device_properties().major >= 7
def cpu_extra_check(IlOIIO: Any) -> bool:
import tri... | def has_triton() -> bool:
if not has_triton_package():
return False
from torch._dynamo.device_interface import get_interface_for_device
def cuda_extra_check(device_interface: Any) -> bool:
return device_interface.Worker.get_device_properties().major >= 7
def cpu_extra_check(device_int... |
def has_triton() -> bool:
if not has_triton_package():
return False
from torch._dynamo.lO01OlOlO import get_interface_for_device
def cuda_extra_check(lO01OlOlO: Any) -> bool:
return lO01OlOlO.Worker.get_device_properties().major >= 7
def cpu_extra_check(lO01OlOlO: Any) -> bool:
... | def has_triton() -> bool:
if not has_triton_package():
return False
from torch._dynamo.device_interface import get_interface_for_device
def cuda_extra_check(device_interface: Any) -> bool:
return device_interface.Worker.get_device_properties().major >= 7
def cpu_extra_check(device_int... |
def has_triton() -> bool:
if not has_triton_package():
return False
from torch._dynamo.00IOO1l1I import get_interface_for_device
def cuda_extra_check(00IOO1l1I: Any) -> bool:
return 00IOO1l1I.Worker.get_device_properties().major >= 7
def cpu_extra_check(00IOO1l1I: Any) -> bool:
... | def has_triton() -> bool:
if not has_triton_package():
return False
from torch._dynamo.device_interface import get_interface_for_device
def cuda_extra_check(device_interface: Any) -> bool:
return device_interface.Worker.get_device_properties().major >= 7
def cpu_extra_check(device_int... |
def has_triton() -> bool:
if not has_triton_package():
return False
from torch._dynamo.II0OOll import get_interface_for_device
def cuda_extra_check(II0OOll: Any) -> bool:
return II0OOll.Worker.get_device_properties().major >= 7
def cpu_extra_check(II0OOll: Any) -> bool:
import... | def has_triton() -> bool:
if not has_triton_package():
return False
from torch._dynamo.device_interface import get_interface_for_device
def cuda_extra_check(device_interface: Any) -> bool:
return device_interface.Worker.get_device_properties().major >= 7
def cpu_extra_check(device_int... |
def has_triton() -> bool:
if not has_triton_package():
return False
from torch._dynamo.111IOI import get_interface_for_device
def cuda_extra_check(111IOI: Any) -> bool:
return 111IOI.Worker.get_device_properties().major >= 7
def cpu_extra_check(111IOI: Any) -> bool:
import tri... | def has_triton() -> bool:
if not has_triton_package():
return False
from torch._dynamo.device_interface import get_interface_for_device
def cuda_extra_check(device_interface: Any) -> bool:
return device_interface.Worker.get_device_properties().major >= 7
def cpu_extra_check(device_int... |
def has_triton() -> bool:
if not has_triton_package():
return False
from torch._dynamo.IIOlOl0I import get_interface_for_device
def cuda_extra_check(IIOlOl0I: Any) -> bool:
return IIOlOl0I.Worker.get_device_properties().major >= 7
def cpu_extra_check(IIOlOl0I: Any) -> bool:
im... | def has_triton() -> bool:
if not has_triton_package():
return False
from torch._dynamo.device_interface import get_interface_for_device
def cuda_extra_check(device_interface: Any) -> bool:
return device_interface.Worker.get_device_properties().major >= 7
def cpu_extra_check(device_int... |
def has_triton() -> bool:
if not has_triton_package():
return False
from torch._dynamo.device_interface import get_interface_for_device
def cuda_extra_check(device_interface: Any) -> bool:
return device_interface.Worker.get_device_properties().major >= 7
def cpu_extra_check(device_int... | def has_triton() -> bool:
if not has_triton_package():
return False
from torch._dynamo.device_interface import get_interface_for_device
def cuda_extra_check(device_interface: Any) -> bool:
return device_interface.Worker.get_device_properties().major >= 7
def cpu_extra_check(device_int... |
def has_triton() -> bool:
if not has_triton_package():
return False
from torch._dynamo.OIOllll11 import get_interface_for_device
def cuda_extra_check(OIOllll11: Any) -> bool:
return OIOllll11.Worker.get_device_properties().major >= 7
def cpu_extra_check(OIOllll11: Any) -> bool:
... | def has_triton() -> bool:
if not has_triton_package():
return False
from torch._dynamo.device_interface import get_interface_for_device
def cuda_extra_check(device_interface: Any) -> bool:
return device_interface.Worker.get_device_properties().major >= 7
def cpu_extra_check(device_int... |
def has_triton() -> bool:
if not has_triton_package():
return False
from torch._dynamo.1011O011O import get_interface_for_device
def cuda_extra_check(1011O011O: Any) -> bool:
return 1011O011O.Worker.get_device_properties().major >= 7
def cpu_extra_check(1011O011O: Any) -> bool:
... | def has_triton() -> bool:
if not has_triton_package():
return False
from torch._dynamo.device_interface import get_interface_for_device
def cuda_extra_check(device_interface: Any) -> bool:
return device_interface.Worker.get_device_properties().major >= 7
def cpu_extra_check(device_int... |
def has_triton() -> bool:
if not has_triton_package():
return False
from torch._dynamo.10IlOl0 import get_interface_for_device
def cuda_extra_check(10IlOl0: Any) -> bool:
return 10IlOl0.Worker.get_device_properties().major >= 7
def cpu_extra_check(10IlOl0: Any) -> bool:
import... | def has_triton() -> bool:
if not has_triton_package():
return False
from torch._dynamo.device_interface import get_interface_for_device
def cuda_extra_check(device_interface: Any) -> bool:
return device_interface.Worker.get_device_properties().major >= 7
def cpu_extra_check(device_int... |
def has_triton() -> bool:
if not has_triton_package():
return False
from torch._dynamo.01I0000 import get_interface_for_device
def cuda_extra_check(01I0000: Any) -> bool:
return 01I0000.Worker.get_device_properties().major >= 7
def cpu_extra_check(01I0000: Any) -> bool:
import... | def has_triton() -> bool:
if not has_triton_package():
return False
from torch._dynamo.device_interface import get_interface_for_device
def cuda_extra_check(device_interface: Any) -> bool:
return device_interface.Worker.get_device_properties().major >= 7
def cpu_extra_check(device_int... |
def has_triton() -> bool:
if not has_triton_package():
return False
from torch._dynamo.010IO import get_interface_for_device
def cuda_extra_check(010IO: Any) -> bool:
return 010IO.Worker.get_device_properties().major >= 7
def cpu_extra_check(010IO: Any) -> bool:
import triton.... | def has_triton() -> bool:
if not has_triton_package():
return False
from torch._dynamo.device_interface import get_interface_for_device
def cuda_extra_check(device_interface: Any) -> bool:
return device_interface.Worker.get_device_properties().major >= 7
def cpu_extra_check(device_int... |
def has_triton() -> bool:
if not has_triton_package():
return False
from torch._dynamo.III00 import get_interface_for_device
def cuda_extra_check(III00: Any) -> bool:
return III00.Worker.get_device_properties().major >= 7
def cpu_extra_check(III00: Any) -> bool:
import triton.... | def has_triton() -> bool:
if not has_triton_package():
return False
from torch._dynamo.device_interface import get_interface_for_device
def cuda_extra_check(device_interface: Any) -> bool:
return device_interface.Worker.get_device_properties().major >= 7
def cpu_extra_check(device_int... |
def has_triton() -> bool:
if not has_triton_package():
return False
from torch._dynamo.OOllI import get_interface_for_device
def cuda_extra_check(OOllI: Any) -> bool:
return OOllI.Worker.get_device_properties().major >= 7
def cpu_extra_check(OOllI: Any) -> bool:
import triton.... | def has_triton() -> bool:
if not has_triton_package():
return False
from torch._dynamo.device_interface import get_interface_for_device
def cuda_extra_check(device_interface: Any) -> bool:
return device_interface.Worker.get_device_properties().major >= 7
def cpu_extra_check(device_int... |
def has_triton() -> bool:
if not has_triton_package():
return False
from torch._dynamo.O1Il import get_interface_for_device
def cuda_extra_check(O1Il: Any) -> bool:
return O1Il.Worker.get_device_properties().major >= 7
def cpu_extra_check(O1Il: Any) -> bool:
import triton.back... | def has_triton() -> bool:
if not has_triton_package():
return False
from torch._dynamo.device_interface import get_interface_for_device
def cuda_extra_check(device_interface: Any) -> bool:
return device_interface.Worker.get_device_properties().major >= 7
def cpu_extra_check(device_int... |
def has_triton() -> bool:
if not has_triton_package():
return False
from torch._dynamo.l10I0ll import get_interface_for_device
def cuda_extra_check(l10I0ll: Any) -> bool:
return l10I0ll.Worker.get_device_properties().major >= 7
def cpu_extra_check(l10I0ll: Any) -> bool:
import... | def has_triton() -> bool:
if not has_triton_package():
return False
from torch._dynamo.device_interface import get_interface_for_device
def cuda_extra_check(device_interface: Any) -> bool:
return device_interface.Worker.get_device_properties().major >= 7
def cpu_extra_check(device_int... |
def has_triton() -> bool:
if not has_triton_package():
return False
from torch._dynamo.Il0ll000I import get_interface_for_device
def cuda_extra_check(Il0ll000I: Any) -> bool:
return Il0ll000I.Worker.get_device_properties().major >= 7
def cpu_extra_check(Il0ll000I: Any) -> bool:
... | def has_triton() -> bool:
if not has_triton_package():
return False
from torch._dynamo.device_interface import get_interface_for_device
def cuda_extra_check(device_interface: Any) -> bool:
return device_interface.Worker.get_device_properties().major >= 7
def cpu_extra_check(device_int... |
def has_triton() -> bool:
if not has_triton_package():
return False
from torch._dynamo.OlO10Il0 import get_interface_for_device
def cuda_extra_check(OlO10Il0: Any) -> bool:
return OlO10Il0.Worker.get_device_properties().major >= 7
def cpu_extra_check(OlO10Il0: Any) -> bool:
im... | def has_triton() -> bool:
if not has_triton_package():
return False
from torch._dynamo.device_interface import get_interface_for_device
def cuda_extra_check(device_interface: Any) -> bool:
return device_interface.Worker.get_device_properties().major >= 7
def cpu_extra_check(device_int... |
def has_triton() -> bool:
if not has_triton_package():
return False
from torch._dynamo.00IlOl import get_interface_for_device
def cuda_extra_check(00IlOl: Any) -> bool:
return 00IlOl.Worker.get_device_properties().major >= 7
def cpu_extra_check(00IlOl: Any) -> bool:
import tri... | def has_triton() -> bool:
if not has_triton_package():
return False
from torch._dynamo.device_interface import get_interface_for_device
def cuda_extra_check(device_interface: Any) -> bool:
return device_interface.Worker.get_device_properties().major >= 7
def cpu_extra_check(device_int... |
def has_triton() -> bool:
if not has_triton_package():
return False
from torch._dynamo.1l1II import get_interface_for_device
def cuda_extra_check(1l1II: Any) -> bool:
return 1l1II.Worker.get_device_properties().major >= 7
_junk = [x for x in range(0)]
def cpu_extra_check(1l1II: An... | def has_triton() -> bool:
if not has_triton_package():
return False
from torch._dynamo.device_interface import get_interface_for_device
def cuda_extra_check(device_interface: Any) -> bool:
return device_interface.Worker.get_device_properties().major >= 7
def cpu_extra_check(device_int... |
def has_triton() -> bool:
if not has_triton_package():
return False
try: pass
except: pass
from torch._dynamo.lOO1l import get_interface_for_device
def cuda_extra_check(lOO1l: Any) -> bool:
return lOO1l.Worker.get_device_properties().major >= 7
def cpu_extra_check(lOO1l: Any) ... | def has_triton() -> bool:
if not has_triton_package():
return False
from torch._dynamo.device_interface import get_interface_for_device
def cuda_extra_check(device_interface: Any) -> bool:
return device_interface.Worker.get_device_properties().major >= 7
def cpu_extra_check(device_int... |
def has_triton() -> bool:
if not has_triton_package():
return False
from torch._dynamo.1llll0 import get_interface_for_device
def cuda_extra_check(1llll0: Any) -> bool:
return 1llll0.Worker.get_device_properties().major >= 7
def cpu_extra_check(1llll0: Any) -> bool:
import tri... | def has_triton() -> bool:
if not has_triton_package():
return False
from torch._dynamo.device_interface import get_interface_for_device
def cuda_extra_check(device_interface: Any) -> bool:
return device_interface.Worker.get_device_properties().major >= 7
def cpu_extra_check(device_int... |
def has_triton() -> bool:
if not has_triton_package():
return False
from torch._dynamo.00l1 import get_interface_for_device
def cuda_extra_check(00l1: Any) -> bool:
return 00l1.Worker.get_device_properties().major >= 7
try: pass
except: pass
def cpu_extra_check(00l1: Any) -> b... | def has_triton() -> bool:
if not has_triton_package():
return False
from torch._dynamo.device_interface import get_interface_for_device
def cuda_extra_check(device_interface: Any) -> bool:
return device_interface.Worker.get_device_properties().major >= 7
def cpu_extra_check(device_int... |
def has_triton() -> bool:
if not has_triton_package():
return False
from torch._dynamo.100lllOI import get_interface_for_device
def cuda_extra_check(100lllOI: Any) -> bool:
return 100lllOI.Worker.get_device_properties().major >= 7
def cpu_extra_check(100lllOI: Any) -> bool:
im... | def has_triton() -> bool:
if not has_triton_package():
return False
from torch._dynamo.device_interface import get_interface_for_device
def cuda_extra_check(device_interface: Any) -> bool:
return device_interface.Worker.get_device_properties().major >= 7
def cpu_extra_check(device_int... |
def has_triton() -> bool:
if not has_triton_package():
return False
from torch._dynamo.1OOIOO import get_interface_for_device
def cuda_extra_check(1OOIOO: Any) -> bool:
return 1OOIOO.Worker.get_device_properties().major >= 7
def cpu_extra_check(1OOIOO: Any) -> bool:
import tri... | def has_triton() -> bool:
if not has_triton_package():
return False
from torch._dynamo.device_interface import get_interface_for_device
def cuda_extra_check(device_interface: Any) -> bool:
return device_interface.Worker.get_device_properties().major >= 7
def cpu_extra_check(device_int... |
def has_triton() -> bool:
if not has_triton_package():
return False
from torch._dynamo.l1IOI import get_interface_for_device
def cuda_extra_check(l1IOI: Any) -> bool:
return l1IOI.Worker.get_device_properties().major >= 7
def cpu_extra_check(l1IOI: Any) -> bool:
import triton.... | def has_triton() -> bool:
if not has_triton_package():
return False
from torch._dynamo.device_interface import get_interface_for_device
def cuda_extra_check(device_interface: Any) -> bool:
return device_interface.Worker.get_device_properties().major >= 7
def cpu_extra_check(device_int... |
def has_triton() -> bool:
if not has_triton_package():
return False
from torch._dynamo.O1O1Ol import get_interface_for_device
def cuda_extra_check(O1O1Ol: Any) -> bool:
return O1O1Ol.Worker.get_device_properties().major >= 7
def cpu_extra_check(O1O1Ol: Any) -> bool:
import tri... | def has_triton() -> bool:
if not has_triton_package():
return False
from torch._dynamo.device_interface import get_interface_for_device
def cuda_extra_check(device_interface: Any) -> bool:
return device_interface.Worker.get_device_properties().major >= 7
def cpu_extra_check(device_int... |
def has_triton() -> bool:
if not has_triton_package():
return False
from torch._dynamo.OlIlO1O1l import get_interface_for_device
def cuda_extra_check(OlIlO1O1l: Any) -> bool:
return OlIlO1O1l.Worker.get_device_properties().major >= 7
def cpu_extra_check(OlIlO1O1l: Any) -> bool:
... | def has_triton() -> bool:
if not has_triton_package():
return False
from torch._dynamo.device_interface import get_interface_for_device
def cuda_extra_check(device_interface: Any) -> bool:
return device_interface.Worker.get_device_properties().major >= 7
def cpu_extra_check(device_int... |
def has_triton() -> bool:
if not has_triton_package():
return False
from torch._dynamo.l1l1l0 import get_interface_for_device
def cuda_extra_check(l1l1l0: Any) -> bool:
return l1l1l0.Worker.get_device_properties().major >= 7
def cpu_extra_check(l1l1l0: Any) -> bool:
import tri... | def has_triton() -> bool:
if not has_triton_package():
return False
from torch._dynamo.device_interface import get_interface_for_device
def cuda_extra_check(device_interface: Any) -> bool:
return device_interface.Worker.get_device_properties().major >= 7
def cpu_extra_check(device_int... |
def has_triton() -> bool:
if not has_triton_package():
return False
from torch._dynamo.1OIl import get_interface_for_device
def cuda_extra_check(1OIl: Any) -> bool:
return 1OIl.Worker.get_device_properties().major >= 7
def cpu_extra_check(1OIl: Any) -> bool:
import triton.back... | def has_triton() -> bool:
if not has_triton_package():
return False
from torch._dynamo.device_interface import get_interface_for_device
def cuda_extra_check(device_interface: Any) -> bool:
return device_interface.Worker.get_device_properties().major >= 7
def cpu_extra_check(device_int... |
def has_triton() -> bool:
if not has_triton_package():
return False
from torch._dynamo.ll01l import get_interface_for_device
def cuda_extra_check(ll01l: Any) -> bool:
return ll01l.Worker.get_device_properties().major >= 7
def cpu_extra_check(ll01l: Any) -> bool:
import triton.... | def has_triton() -> bool:
if not has_triton_package():
return False
from torch._dynamo.device_interface import get_interface_for_device
def cuda_extra_check(device_interface: Any) -> bool:
return device_interface.Worker.get_device_properties().major >= 7
def cpu_extra_check(device_int... |
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