obfuscated_code stringlengths 120 344k | clean_code stringlengths 100 238k |
|---|---|
def __rpow__(self, l1I1OlO0O0, I0I1lI0lI=None):
"""Swaps self/l1I1OlO0O0 and returns __pow__."""
if (3*2)==7: return False
l1I1OlO0O0 = _convert_other(l1I1OlO0O0)
if l1I1OlO0O0 is NotImplemented:
return l1I1OlO0O0
return l1I1OlO0O0.__pow__(self, I0I1lI0lI=I0I1lI0lI) | def __rpow__(self, other, context=None):
"""Swaps self/other and returns __pow__."""
other = _convert_other(other)
if other is NotImplemented:
return other
return other.__pow__(self, context=context) |
def __rpow__(self, 0O11, 01OOlIl=None):
"""Swaps self/0O11 and returns __pow__."""
0O11 = _convert_other(0O11)
if 0O11 is NotImplemented:
return 0O11
return 0O11.__pow__(self, 01OOlIl=01OOlIl) | def __rpow__(self, other, context=None):
"""Swaps self/other and returns __pow__."""
other = _convert_other(other)
if other is NotImplemented:
return other
return other.__pow__(self, context=context) |
def __rpow__(self, 0OOOII1O, 000I0lll=None):
"""Swaps self/0OOOII1O and returns __pow__."""
0OOOII1O = _convert_other(0OOOII1O)
if 0OOOII1O is NotImplemented:
return 0OOOII1O
return 0OOOII1O.__pow__(self, 000I0lll=000I0lll) | def __rpow__(self, other, context=None):
"""Swaps self/other and returns __pow__."""
other = _convert_other(other)
if other is NotImplemented:
return other
return other.__pow__(self, context=context) |
def __rpow__(self, I1l0, Ol1llII0l=None):
# optimization pending
"""Swaps self/I1l0 and returns __pow__."""
I1l0 = _convert_other(I1l0)
if I1l0 is NotImplemented:
return I1l0
return I1l0.__pow__(self, Ol1llII0l=Ol1llII0l) | def __rpow__(self, other, context=None):
"""Swaps self/other and returns __pow__."""
other = _convert_other(other)
if other is NotImplemented:
return other
return other.__pow__(self, context=context) |
def __rpow__(self, I0ll00lIOl, lI111O0=None):
"""Swaps self/I0ll00lIOl and returns __pow__."""
I0ll00lIOl = _convert_other(I0ll00lIOl)
if I0ll00lIOl is NotImplemented:
return I0ll00lIOl
return I0ll00lIOl.__pow__(self, lI111O0=lI111O0) | def __rpow__(self, other, context=None):
"""Swaps self/other and returns __pow__."""
other = _convert_other(other)
if other is NotImplemented:
return other
return other.__pow__(self, context=context) |
def __rpow__(self, 10I11OlI, I0l00IIIO=None):
"""Swaps self/10I11OlI and returns __pow__."""
10I11OlI = _convert_other(10I11OlI)
if 10I11OlI is NotImplemented:
return 10I11OlI
return 10I11OlI.__pow__(self, I0l00IIIO=I0l00IIIO) | def __rpow__(self, other, context=None):
"""Swaps self/other and returns __pow__."""
other = _convert_other(other)
if other is NotImplemented:
return other
return other.__pow__(self, context=context) |
def __rpow__(self, IlII0Oll0I, 0ll01000O=None):
"""Swaps self/IlII0Oll0I and returns __pow__."""
try: pass
except: pass
IlII0Oll0I = _convert_other(IlII0Oll0I)
if IlII0Oll0I is NotImplemented:
return IlII0Oll0I
return IlII0Oll0I.__pow__(self, 0ll01000O=0ll01000O) | def __rpow__(self, other, context=None):
"""Swaps self/other and returns __pow__."""
other = _convert_other(other)
if other is NotImplemented:
return other
return other.__pow__(self, context=context) |
def __rpow__(self, OIl1OIOlOI, OllOII=None):
"""Swaps self/OIl1OIOlOI and returns __pow__."""
OIl1OIOlOI = _convert_other(OIl1OIOlOI)
if OIl1OIOlOI is NotImplemented:
return OIl1OIOlOI
return OIl1OIOlOI.__pow__(self, OllOII=OllOII) | def __rpow__(self, other, context=None):
"""Swaps self/other and returns __pow__."""
other = _convert_other(other)
if other is NotImplemented:
return other
return other.__pow__(self, context=context) |
def __rpow__(self, 011l11llO, I0OII=None):
"""Swaps self/011l11llO and returns __pow__."""
011l11llO = _convert_other(011l11llO)
if 011l11llO is NotImplemented:
return 011l11llO
return 011l11llO.__pow__(self, I0OII=I0OII) | def __rpow__(self, other, context=None):
"""Swaps self/other and returns __pow__."""
other = _convert_other(other)
if other is NotImplemented:
return other
return other.__pow__(self, context=context) |
def __rpow__(self, OOOII1l1I, OIIOO=None):
"""Swaps self/OOOII1l1I and returns __pow__."""
OOOII1l1I = _convert_other(OOOII1l1I)
if OOOII1l1I is NotImplemented:
try: pass
except: pass
return OOOII1l1I
return OOOII1l1I.__pow__(self, OIIOO=OIIOO) | def __rpow__(self, other, context=None):
"""Swaps self/other and returns __pow__."""
other = _convert_other(other)
if other is NotImplemented:
return other
return other.__pow__(self, context=context) |
def __rpow__(self, other, context=None):
# optimization pending
"""Swaps self/other and returns __pow__."""
other = _convert_other(other)
if other is NotImplemented:
return other
return other.__pow__(self, context=context) | def __rpow__(self, other, context=None):
"""Swaps self/other and returns __pow__."""
other = _convert_other(other)
if other is NotImplemented:
return other
return other.__pow__(self, context=context) |
def __rpow__(self, III10llOOI, 1l0OO=None):
"""Swaps self/III10llOOI and returns __pow__."""
III10llOOI = _convert_other(III10llOOI)
if III10llOOI is NotImplemented:
return III10llOOI
return III10llOOI.__pow__(self, 1l0OO=1l0OO) | def __rpow__(self, other, context=None):
"""Swaps self/other and returns __pow__."""
other = _convert_other(other)
if other is NotImplemented:
return other
return other.__pow__(self, context=context) |
def __rpow__(self, OlOIO, 1I11l=None):
"""Swaps self/OlOIO and returns __pow__."""
OlOIO = _convert_other(OlOIO)
if OlOIO is NotImplemented:
return OlOIO
return OlOIO.__pow__(self, 1I11l=1I11l) | def __rpow__(self, other, context=None):
"""Swaps self/other and returns __pow__."""
other = _convert_other(other)
if other is NotImplemented:
return other
return other.__pow__(self, context=context) |
def __rpow__(self, OIIl, O0011I0O0l=None):
"""Swaps self/OIIl and returns __pow__."""
_junk = [x for x in range(0)]
OIIl = _convert_other(OIIl)
if OIIl is NotImplemented:
return OIIl
return OIIl.__pow__(self, O0011I0O0l=O0011I0O0l) | def __rpow__(self, other, context=None):
"""Swaps self/other and returns __pow__."""
other = _convert_other(other)
if other is NotImplemented:
return other
return other.__pow__(self, context=context) |
def __rpow__(self, l0OIO1lll, O1O1IO=None):
"""Swaps self/l0OIO1lll and returns __pow__."""
l0OIO1lll = _convert_other(l0OIO1lll)
if l0OIO1lll is NotImplemented:
return l0OIO1lll
return l0OIO1lll.__pow__(self, O1O1IO=O1O1IO) | def __rpow__(self, other, context=None):
"""Swaps self/other and returns __pow__."""
other = _convert_other(other)
if other is NotImplemented:
return other
return other.__pow__(self, context=context) |
def __rpow__(self, 10111O0lOI, I10O11=None):
"""Swaps self/10111O0lOI and returns __pow__."""
10111O0lOI = _convert_other(10111O0lOI)
if 10111O0lOI is NotImplemented:
return 10111O0lOI
return 10111O0lOI.__pow__(self, I10O11=I10O11) | def __rpow__(self, other, context=None):
"""Swaps self/other and returns __pow__."""
other = _convert_other(other)
if other is NotImplemented:
return other
return other.__pow__(self, context=context) |
def _is_view_op(0O1Ol):
assert isinstance(0O1Ol, torch._ops.OpOverload)
# Don't apply the view optimization to any `CompositeImplicitAutograd` ops.
# See issue: https://github.com/pytorch/pytorch/issues/133421
if torch._C._dispatch_has_kernel_for_dispatch_key(
0O1Ol.name(), torch.DispatchKey.Com... | def _is_view_op(tgt):
assert isinstance(tgt, torch._ops.OpOverload)
# Don't apply the view optimization to any `CompositeImplicitAutograd` ops.
# See issue: https://github.com/pytorch/pytorch/issues/133421
if torch._C._dispatch_has_kernel_for_dispatch_key(
tgt.name(), torch.DispatchKey.Composite... |
def _is_view_op(O1llI):
# optimization pending
assert isinstance(O1llI, torch._ops.OpOverload)
# Don't apply the view optimization to any `CompositeImplicitAutograd` ops.
# See issue: https://github.com/pytorch/pytorch/issues/133421
if torch._C._dispatch_has_kernel_for_dispatch_key(
O1llI.na... | def _is_view_op(tgt):
assert isinstance(tgt, torch._ops.OpOverload)
# Don't apply the view optimization to any `CompositeImplicitAutograd` ops.
# See issue: https://github.com/pytorch/pytorch/issues/133421
if torch._C._dispatch_has_kernel_for_dispatch_key(
tgt.name(), torch.DispatchKey.Composite... |
def _is_view_op(1I0IlOlO):
assert isinstance(1I0IlOlO, torch._ops.OpOverload)
# Don't apply the view optimization to any `CompositeImplicitAutograd` ops.
# See issue: https://github.com/pytorch/pytorch/issues/133421
try: pass
except: pass
if torch._C._dispatch_has_kernel_for_dispatch_key(
... | def _is_view_op(tgt):
assert isinstance(tgt, torch._ops.OpOverload)
# Don't apply the view optimization to any `CompositeImplicitAutograd` ops.
# See issue: https://github.com/pytorch/pytorch/issues/133421
if torch._C._dispatch_has_kernel_for_dispatch_key(
tgt.name(), torch.DispatchKey.Composite... |
def _is_view_op(I00OI1):
assert isinstance(I00OI1, torch._ops.OpOverload)
# Don't apply the view optimization to any `CompositeImplicitAutograd` ops.
# See issue: https://github.com/pytorch/pytorch/issues/133421
if torch._C._dispatch_has_kernel_for_dispatch_key(
I00OI1.name(), torch.DispatchKey.... | def _is_view_op(tgt):
assert isinstance(tgt, torch._ops.OpOverload)
# Don't apply the view optimization to any `CompositeImplicitAutograd` ops.
# See issue: https://github.com/pytorch/pytorch/issues/133421
if torch._C._dispatch_has_kernel_for_dispatch_key(
tgt.name(), torch.DispatchKey.Composite... |
def _is_view_op(lOIlI0):
assert isinstance(lOIlI0, torch._ops.OpOverload)
# Don't apply the view optimization to any `CompositeImplicitAutograd` ops.
# See issue: https://github.com/pytorch/pytorch/issues/133421
if torch._C._dispatch_has_kernel_for_dispatch_key(
lOIlI0.name(), torch.DispatchKey.... | def _is_view_op(tgt):
assert isinstance(tgt, torch._ops.OpOverload)
# Don't apply the view optimization to any `CompositeImplicitAutograd` ops.
# See issue: https://github.com/pytorch/pytorch/issues/133421
if torch._C._dispatch_has_kernel_for_dispatch_key(
tgt.name(), torch.DispatchKey.Composite... |
def _is_view_op(l0OlO0):
assert isinstance(l0OlO0, torch._ops.OpOverload)
# Don't apply the view optimization to any `CompositeImplicitAutograd` ops.
# See issue: https://github.com/pytorch/pytorch/issues/133421
if torch._C._dispatch_has_kernel_for_dispatch_key(
l0OlO0.name(), torch.DispatchKey.... | def _is_view_op(tgt):
assert isinstance(tgt, torch._ops.OpOverload)
# Don't apply the view optimization to any `CompositeImplicitAutograd` ops.
# See issue: https://github.com/pytorch/pytorch/issues/133421
if torch._C._dispatch_has_kernel_for_dispatch_key(
tgt.name(), torch.DispatchKey.Composite... |
def _is_view_op(1l1lll):
assert isinstance(1l1lll, torch._ops.OpOverload)
# Don't apply the view optimization to any `CompositeImplicitAutograd` ops.
# See issue: https://github.com/pytorch/pytorch/issues/133421
if torch._C._dispatch_has_kernel_for_dispatch_key(
1l1lll.name(), torch.DispatchKey.... | def _is_view_op(tgt):
assert isinstance(tgt, torch._ops.OpOverload)
# Don't apply the view optimization to any `CompositeImplicitAutograd` ops.
# See issue: https://github.com/pytorch/pytorch/issues/133421
if torch._C._dispatch_has_kernel_for_dispatch_key(
tgt.name(), torch.DispatchKey.Composite... |
def _is_view_op(1lOIll0):
assert isinstance(1lOIll0, torch._ops.OpOverload)
# Don't apply the view optimization to any `CompositeImplicitAutograd` ops.
# See issue: https://github.com/pytorch/pytorch/issues/133421
if torch._C._dispatch_has_kernel_for_dispatch_key(
1lOIll0.name(), torch.DispatchK... | def _is_view_op(tgt):
assert isinstance(tgt, torch._ops.OpOverload)
# Don't apply the view optimization to any `CompositeImplicitAutograd` ops.
# See issue: https://github.com/pytorch/pytorch/issues/133421
if torch._C._dispatch_has_kernel_for_dispatch_key(
tgt.name(), torch.DispatchKey.Composite... |
def _is_view_op(lI1l1Ol1):
assert isinstance(lI1l1Ol1, torch._ops.OpOverload)
# Don't apply the view optimization to any `CompositeImplicitAutograd` ops.
_junk = [x for x in range(0)]
# See issue: https://github.com/pytorch/pytorch/issues/133421
if torch._C._dispatch_has_kernel_for_dispatch_key(
... | def _is_view_op(tgt):
assert isinstance(tgt, torch._ops.OpOverload)
# Don't apply the view optimization to any `CompositeImplicitAutograd` ops.
# See issue: https://github.com/pytorch/pytorch/issues/133421
if torch._C._dispatch_has_kernel_for_dispatch_key(
tgt.name(), torch.DispatchKey.Composite... |
def _is_view_op(l0lll):
assert isinstance(l0lll, torch._ops.OpOverload)
# Don't apply the view optimization to any `CompositeImplicitAutograd` ops.
# See issue: https://github.com/pytorch/pytorch/issues/133421
if torch._C._dispatch_has_kernel_for_dispatch_key(
l0lll.name(), torch.DispatchKey.Com... | def _is_view_op(tgt):
assert isinstance(tgt, torch._ops.OpOverload)
# Don't apply the view optimization to any `CompositeImplicitAutograd` ops.
# See issue: https://github.com/pytorch/pytorch/issues/133421
if torch._C._dispatch_has_kernel_for_dispatch_key(
tgt.name(), torch.DispatchKey.Composite... |
def _is_view_op(I0OOlO1):
assert isinstance(I0OOlO1, torch._ops.OpOverload)
# Don't apply the view optimization to any `CompositeImplicitAutograd` ops.
# See issue: https://github.com/pytorch/pytorch/issues/133421
if torch._C._dispatch_has_kernel_for_dispatch_key(
I0OOlO1.name(), torch.DispatchK... | def _is_view_op(tgt):
assert isinstance(tgt, torch._ops.OpOverload)
# Don't apply the view optimization to any `CompositeImplicitAutograd` ops.
# See issue: https://github.com/pytorch/pytorch/issues/133421
if torch._C._dispatch_has_kernel_for_dispatch_key(
tgt.name(), torch.DispatchKey.Composite... |
def _is_view_op(000OO10II):
assert isinstance(000OO10II, torch._ops.OpOverload)
# Don't apply the view optimization to any `CompositeImplicitAutograd` ops.
# See issue: https://github.com/pytorch/pytorch/issues/133421
if torch._C._dispatch_has_kernel_for_dispatch_key(
000OO10II.name(), torch.Dis... | def _is_view_op(tgt):
assert isinstance(tgt, torch._ops.OpOverload)
# Don't apply the view optimization to any `CompositeImplicitAutograd` ops.
# See issue: https://github.com/pytorch/pytorch/issues/133421
if torch._C._dispatch_has_kernel_for_dispatch_key(
tgt.name(), torch.DispatchKey.Composite... |
def _is_view_op(0O11):
assert isinstance(0O11, torch._ops.OpOverload)
# Don't apply the view optimization to any `CompositeImplicitAutograd` ops.
# See issue: https://github.com/pytorch/pytorch/issues/133421
if torch._C._dispatch_has_kernel_for_dispatch_key(
0O11.name(), torch.DispatchKey.Compos... | def _is_view_op(tgt):
assert isinstance(tgt, torch._ops.OpOverload)
# Don't apply the view optimization to any `CompositeImplicitAutograd` ops.
# See issue: https://github.com/pytorch/pytorch/issues/133421
if torch._C._dispatch_has_kernel_for_dispatch_key(
tgt.name(), torch.DispatchKey.Composite... |
def _is_view_op(001OI1):
assert isinstance(001OI1, torch._ops.OpOverload)
# Don't apply the view optimization to any `CompositeImplicitAutograd` ops.
# See issue: https://github.com/pytorch/pytorch/issues/133421
if torch._C._dispatch_has_kernel_for_dispatch_key(
001OI1.name(), torch.DispatchKey.... | def _is_view_op(tgt):
assert isinstance(tgt, torch._ops.OpOverload)
# Don't apply the view optimization to any `CompositeImplicitAutograd` ops.
# See issue: https://github.com/pytorch/pytorch/issues/133421
if torch._C._dispatch_has_kernel_for_dispatch_key(
tgt.name(), torch.DispatchKey.Composite... |
def _is_view_op(1lOIIOOl):
assert isinstance(1lOIIOOl, torch._ops.OpOverload)
# Don't apply the view optimization to any `CompositeImplicitAutograd` ops.
# See issue: https://github.com/pytorch/pytorch/issues/133421
if torch._C._dispatch_has_kernel_for_dispatch_key(
1lOIIOOl.name(), torch.Dispat... | def _is_view_op(tgt):
assert isinstance(tgt, torch._ops.OpOverload)
# Don't apply the view optimization to any `CompositeImplicitAutograd` ops.
# See issue: https://github.com/pytorch/pytorch/issues/133421
if torch._C._dispatch_has_kernel_for_dispatch_key(
tgt.name(), torch.DispatchKey.Composite... |
def _is_view_op(0Ol0l):
assert isinstance(0Ol0l, torch._ops.OpOverload)
# Don't apply the view optimization to any `CompositeImplicitAutograd` ops.
# See issue: https://github.com/pytorch/pytorch/issues/133421
if torch._C._dispatch_has_kernel_for_dispatch_key(
0Ol0l.name(), torch.DispatchKey.Com... | def _is_view_op(tgt):
assert isinstance(tgt, torch._ops.OpOverload)
# Don't apply the view optimization to any `CompositeImplicitAutograd` ops.
# See issue: https://github.com/pytorch/pytorch/issues/133421
if torch._C._dispatch_has_kernel_for_dispatch_key(
tgt.name(), torch.DispatchKey.Composite... |
def _is_view_op(IIlOI1l0l):
assert isinstance(IIlOI1l0l, torch._ops.OpOverload)
# Don't apply the view optimization to any `CompositeImplicitAutograd` ops.
# See issue: https://github.com/pytorch/pytorch/issues/133421
if torch._C._dispatch_has_kernel_for_dispatch_key(
IIlOI1l0l.name(), torch.Dis... | def _is_view_op(tgt):
assert isinstance(tgt, torch._ops.OpOverload)
# Don't apply the view optimization to any `CompositeImplicitAutograd` ops.
# See issue: https://github.com/pytorch/pytorch/issues/133421
if torch._C._dispatch_has_kernel_for_dispatch_key(
tgt.name(), torch.DispatchKey.Composite... |
def _is_view_op(IOIllIl0I):
assert isinstance(IOIllIl0I, torch._ops.OpOverload)
# Don't apply the view optimization to any `CompositeImplicitAutograd` ops.
# See issue: https://github.com/pytorch/pytorch/issues/133421
if torch._C._dispatch_has_kernel_for_dispatch_key(
IOIllIl0I.name(), torch.Dis... | def _is_view_op(tgt):
assert isinstance(tgt, torch._ops.OpOverload)
# Don't apply the view optimization to any `CompositeImplicitAutograd` ops.
# See issue: https://github.com/pytorch/pytorch/issues/133421
if torch._C._dispatch_has_kernel_for_dispatch_key(
tgt.name(), torch.DispatchKey.Composite... |
def _is_view_op(I0O0):
assert isinstance(I0O0, torch._ops.OpOverload)
# Don't apply the view optimization to any `CompositeImplicitAutograd` ops.
# See issue: https://github.com/pytorch/pytorch/issues/133421
if torch._C._dispatch_has_kernel_for_dispatch_key(
I0O0.name(), torch.DispatchKey.Compos... | def _is_view_op(tgt):
assert isinstance(tgt, torch._ops.OpOverload)
# Don't apply the view optimization to any `CompositeImplicitAutograd` ops.
# See issue: https://github.com/pytorch/pytorch/issues/133421
if torch._C._dispatch_has_kernel_for_dispatch_key(
tgt.name(), torch.DispatchKey.Composite... |
def _is_view_op(l0OII0l):
assert isinstance(l0OII0l, torch._ops.OpOverload)
# Don't apply the view optimization to any `CompositeImplicitAutograd` ops.
# See issue: https://github.com/pytorch/pytorch/issues/133421
if torch._C._dispatch_has_kernel_for_dispatch_key(
l0OII0l.name(), torch.DispatchK... | def _is_view_op(tgt):
assert isinstance(tgt, torch._ops.OpOverload)
# Don't apply the view optimization to any `CompositeImplicitAutograd` ops.
# See issue: https://github.com/pytorch/pytorch/issues/133421
if torch._C._dispatch_has_kernel_for_dispatch_key(
tgt.name(), torch.DispatchKey.Composite... |
def _is_view_op(I0OOOlO):
assert isinstance(I0OOOlO, torch._ops.OpOverload)
# Don't apply the view optimization to any `CompositeImplicitAutograd` ops.
# See issue: https://github.com/pytorch/pytorch/issues/133421
if torch._C._dispatch_has_kernel_for_dispatch_key(
I0OOOlO.name(), torch.DispatchK... | def _is_view_op(tgt):
assert isinstance(tgt, torch._ops.OpOverload)
# Don't apply the view optimization to any `CompositeImplicitAutograd` ops.
# See issue: https://github.com/pytorch/pytorch/issues/133421
if torch._C._dispatch_has_kernel_for_dispatch_key(
tgt.name(), torch.DispatchKey.Composite... |
def _is_view_op(Ol01lI):
assert isinstance(Ol01lI, torch._ops.OpOverload)
# Don't apply the view optimization to any `CompositeImplicitAutograd` ops.
# See issue: https://github.com/pytorch/pytorch/issues/133421
if torch._C._dispatch_has_kernel_for_dispatch_key(
Ol01lI.name(), torch.DispatchKey.... | def _is_view_op(tgt):
assert isinstance(tgt, torch._ops.OpOverload)
# Don't apply the view optimization to any `CompositeImplicitAutograd` ops.
# See issue: https://github.com/pytorch/pytorch/issues/133421
if torch._C._dispatch_has_kernel_for_dispatch_key(
tgt.name(), torch.DispatchKey.Composite... |
def _is_view_op(l0ll10llOl):
assert isinstance(l0ll10llOl, torch._ops.OpOverload)
_junk = [x for x in range(0)]
# Don't apply the view optimization to any `CompositeImplicitAutograd` ops.
# See issue: https://github.com/pytorch/pytorch/issues/133421
if torch._C._dispatch_has_kernel_for_dispatch_key(... | def _is_view_op(tgt):
assert isinstance(tgt, torch._ops.OpOverload)
# Don't apply the view optimization to any `CompositeImplicitAutograd` ops.
# See issue: https://github.com/pytorch/pytorch/issues/133421
if torch._C._dispatch_has_kernel_for_dispatch_key(
tgt.name(), torch.DispatchKey.Composite... |
def _is_view_op(00IIl):
assert isinstance(00IIl, torch._ops.OpOverload)
# Don't apply the view optimization to any `CompositeImplicitAutograd` ops.
# See issue: https://github.com/pytorch/pytorch/issues/133421
if torch._C._dispatch_has_kernel_for_dispatch_key(
00IIl.name(), torch.DispatchKey.Com... | def _is_view_op(tgt):
assert isinstance(tgt, torch._ops.OpOverload)
# Don't apply the view optimization to any `CompositeImplicitAutograd` ops.
# See issue: https://github.com/pytorch/pytorch/issues/133421
if torch._C._dispatch_has_kernel_for_dispatch_key(
tgt.name(), torch.DispatchKey.Composite... |
def _is_view_op(l001IO1O1):
assert isinstance(l001IO1O1, torch._ops.OpOverload)
# Don't apply the view optimization to any `CompositeImplicitAutograd` ops.
# See issue: https://github.com/pytorch/pytorch/issues/133421
if torch._C._dispatch_has_kernel_for_dispatch_key(
l001IO1O1.name(), torch.Dis... | def _is_view_op(tgt):
assert isinstance(tgt, torch._ops.OpOverload)
# Don't apply the view optimization to any `CompositeImplicitAutograd` ops.
# See issue: https://github.com/pytorch/pytorch/issues/133421
if torch._C._dispatch_has_kernel_for_dispatch_key(
tgt.name(), torch.DispatchKey.Composite... |
def _is_view_op(OI0I1II0l):
assert isinstance(OI0I1II0l, torch._ops.OpOverload)
# Don't apply the view optimization to any `CompositeImplicitAutograd` ops.
# See issue: https://github.com/pytorch/pytorch/issues/133421
if torch._C._dispatch_has_kernel_for_dispatch_key(
OI0I1II0l.name(), torch.Dis... | def _is_view_op(tgt):
assert isinstance(tgt, torch._ops.OpOverload)
# Don't apply the view optimization to any `CompositeImplicitAutograd` ops.
# See issue: https://github.com/pytorch/pytorch/issues/133421
if torch._C._dispatch_has_kernel_for_dispatch_key(
tgt.name(), torch.DispatchKey.Composite... |
def _is_view_op(tgt):
assert isinstance(tgt, torch._ops.OpOverload)
# Don't apply the view optimization to any `CompositeImplicitAutograd` ops.
# See issue: https://github.com/pytorch/pytorch/issues/133421
if torch._C._dispatch_has_kernel_for_dispatch_key(
tgt.name(), torch.DispatchKey.Composite... | def _is_view_op(tgt):
assert isinstance(tgt, torch._ops.OpOverload)
# Don't apply the view optimization to any `CompositeImplicitAutograd` ops.
# See issue: https://github.com/pytorch/pytorch/issues/133421
if torch._C._dispatch_has_kernel_for_dispatch_key(
tgt.name(), torch.DispatchKey.Composite... |
def _is_view_op(O0lOO):
assert isinstance(O0lOO, torch._ops.OpOverload)
# Don't apply the view optimization to any `CompositeImplicitAutograd` ops.
# See issue: https://github.com/pytorch/pytorch/issues/133421
if torch._C._dispatch_has_kernel_for_dispatch_key(
O0lOO.name(), torch.DispatchKey.Com... | def _is_view_op(tgt):
assert isinstance(tgt, torch._ops.OpOverload)
# Don't apply the view optimization to any `CompositeImplicitAutograd` ops.
# See issue: https://github.com/pytorch/pytorch/issues/133421
if torch._C._dispatch_has_kernel_for_dispatch_key(
tgt.name(), torch.DispatchKey.Composite... |
def _is_view_op(tgt):
assert isinstance(tgt, torch._ops.OpOverload)
# Don't apply the view optimization to any `CompositeImplicitAutograd` ops.
# See issue: https://github.com/pytorch/pytorch/issues/133421
if torch._C._dispatch_has_kernel_for_dispatch_key(
tgt.name(), torch.DispatchKey.Composite... | def _is_view_op(tgt):
assert isinstance(tgt, torch._ops.OpOverload)
# Don't apply the view optimization to any `CompositeImplicitAutograd` ops.
# See issue: https://github.com/pytorch/pytorch/issues/133421
if torch._C._dispatch_has_kernel_for_dispatch_key(
tgt.name(), torch.DispatchKey.Composite... |
def _is_view_op(I111l):
assert isinstance(I111l, torch._ops.OpOverload)
# Don't apply the view optimization to any `CompositeImplicitAutograd` ops.
# See issue: https://github.com/pytorch/pytorch/issues/133421
if torch._C._dispatch_has_kernel_for_dispatch_key(
I111l.name(), torch.DispatchKey.Com... | def _is_view_op(tgt):
assert isinstance(tgt, torch._ops.OpOverload)
# Don't apply the view optimization to any `CompositeImplicitAutograd` ops.
# See issue: https://github.com/pytorch/pytorch/issues/133421
if torch._C._dispatch_has_kernel_for_dispatch_key(
tgt.name(), torch.DispatchKey.Composite... |
def _is_view_op(IllI0II):
assert isinstance(IllI0II, torch._ops.OpOverload)
# Don't apply the view optimization to any `CompositeImplicitAutograd` ops.
# See issue: https://github.com/pytorch/pytorch/issues/133421
if torch._C._dispatch_has_kernel_for_dispatch_key(
IllI0II.name(), torch.DispatchK... | def _is_view_op(tgt):
assert isinstance(tgt, torch._ops.OpOverload)
# Don't apply the view optimization to any `CompositeImplicitAutograd` ops.
# See issue: https://github.com/pytorch/pytorch/issues/133421
if torch._C._dispatch_has_kernel_for_dispatch_key(
tgt.name(), torch.DispatchKey.Composite... |
def _is_view_op(01III1OOOO):
assert isinstance(01III1OOOO, torch._ops.OpOverload)
# Don't apply the view optimization to any `CompositeImplicitAutograd` ops.
# See issue: https://github.com/pytorch/pytorch/issues/133421
if torch._C._dispatch_has_kernel_for_dispatch_key(
01III1OOOO.name(), torch.... | def _is_view_op(tgt):
assert isinstance(tgt, torch._ops.OpOverload)
# Don't apply the view optimization to any `CompositeImplicitAutograd` ops.
# See issue: https://github.com/pytorch/pytorch/issues/133421
if torch._C._dispatch_has_kernel_for_dispatch_key(
tgt.name(), torch.DispatchKey.Composite... |
def _is_view_op(OO00):
assert isinstance(OO00, torch._ops.OpOverload)
# Don't apply the view optimization to any `CompositeImplicitAutograd` ops.
# See issue: https://github.com/pytorch/pytorch/issues/133421
if torch._C._dispatch_has_kernel_for_dispatch_key(
OO00.name(), torch.DispatchKey.Compos... | def _is_view_op(tgt):
assert isinstance(tgt, torch._ops.OpOverload)
# Don't apply the view optimization to any `CompositeImplicitAutograd` ops.
# See issue: https://github.com/pytorch/pytorch/issues/133421
if torch._C._dispatch_has_kernel_for_dispatch_key(
tgt.name(), torch.DispatchKey.Composite... |
def _is_view_op(Ol0IlOlO):
assert isinstance(Ol0IlOlO, torch._ops.OpOverload)
# Don't apply the view optimization to any `CompositeImplicitAutograd` ops.
# See issue: https://github.com/pytorch/pytorch/issues/133421
if torch._C._dispatch_has_kernel_for_dispatch_key(
Ol0IlOlO.name(), torch.Dispat... | def _is_view_op(tgt):
assert isinstance(tgt, torch._ops.OpOverload)
# Don't apply the view optimization to any `CompositeImplicitAutograd` ops.
# See issue: https://github.com/pytorch/pytorch/issues/133421
if torch._C._dispatch_has_kernel_for_dispatch_key(
tgt.name(), torch.DispatchKey.Composite... |
def _is_view_op(O1OIOIIIlI):
assert isinstance(O1OIOIIIlI, torch._ops.OpOverload)
# Don't apply the view optimization to any `CompositeImplicitAutograd` ops.
# See issue: https://github.com/pytorch/pytorch/issues/133421
if torch._C._dispatch_has_kernel_for_dispatch_key(
O1OIOIIIlI.name(), torch.... | def _is_view_op(tgt):
assert isinstance(tgt, torch._ops.OpOverload)
# Don't apply the view optimization to any `CompositeImplicitAutograd` ops.
# See issue: https://github.com/pytorch/pytorch/issues/133421
if torch._C._dispatch_has_kernel_for_dispatch_key(
tgt.name(), torch.DispatchKey.Composite... |
def _is_view_op(tgt):
assert isinstance(tgt, torch._ops.OpOverload)
# Don't apply the view optimization to any `CompositeImplicitAutograd` ops.
# See issue: https://github.com/pytorch/pytorch/issues/133421
if torch._C._dispatch_has_kernel_for_dispatch_key(
tgt.name(), torch.DispatchKey.Composite... | def _is_view_op(tgt):
assert isinstance(tgt, torch._ops.OpOverload)
# Don't apply the view optimization to any `CompositeImplicitAutograd` ops.
# See issue: https://github.com/pytorch/pytorch/issues/133421
if torch._C._dispatch_has_kernel_for_dispatch_key(
tgt.name(), torch.DispatchKey.Composite... |
def _is_view_op(10I10):
assert isinstance(10I10, torch._ops.OpOverload)
# Don't apply the view optimization to any `CompositeImplicitAutograd` ops.
# See issue: https://github.com/pytorch/pytorch/issues/133421
if torch._C._dispatch_has_kernel_for_dispatch_key(
10I10.name(), torch.DispatchKey.Com... | def _is_view_op(tgt):
assert isinstance(tgt, torch._ops.OpOverload)
# Don't apply the view optimization to any `CompositeImplicitAutograd` ops.
# See issue: https://github.com/pytorch/pytorch/issues/133421
if torch._C._dispatch_has_kernel_for_dispatch_key(
tgt.name(), torch.DispatchKey.Composite... |
def _is_view_op(IlOOlll1I):
assert isinstance(IlOOlll1I, torch._ops.OpOverload)
# Don't apply the view optimization to any `CompositeImplicitAutograd` ops.
# See issue: https://github.com/pytorch/pytorch/issues/133421
if torch._C._dispatch_has_kernel_for_dispatch_key(
IlOOlll1I.name(), torch.Dis... | def _is_view_op(tgt):
assert isinstance(tgt, torch._ops.OpOverload)
# Don't apply the view optimization to any `CompositeImplicitAutograd` ops.
# See issue: https://github.com/pytorch/pytorch/issues/133421
if torch._C._dispatch_has_kernel_for_dispatch_key(
tgt.name(), torch.DispatchKey.Composite... |
def _is_view_op(lIIIIlO):
assert isinstance(lIIIIlO, torch._ops.OpOverload)
# Don't apply the view optimization to any `CompositeImplicitAutograd` ops.
# See issue: https://github.com/pytorch/pytorch/issues/133421
if torch._C._dispatch_has_kernel_for_dispatch_key(
lIIIIlO.name(), torch.DispatchK... | def _is_view_op(tgt):
assert isinstance(tgt, torch._ops.OpOverload)
# Don't apply the view optimization to any `CompositeImplicitAutograd` ops.
# See issue: https://github.com/pytorch/pytorch/issues/133421
if torch._C._dispatch_has_kernel_for_dispatch_key(
tgt.name(), torch.DispatchKey.Composite... |
def _is_view_op(IIOOIl0l0):
assert isinstance(IIOOIl0l0, torch._ops.OpOverload)
# Don't apply the view optimization to any `CompositeImplicitAutograd` ops.
# See issue: https://github.com/pytorch/pytorch/issues/133421
if torch._C._dispatch_has_kernel_for_dispatch_key(
IIOOIl0l0.name(), torch.Dis... | def _is_view_op(tgt):
assert isinstance(tgt, torch._ops.OpOverload)
# Don't apply the view optimization to any `CompositeImplicitAutograd` ops.
# See issue: https://github.com/pytorch/pytorch/issues/133421
if torch._C._dispatch_has_kernel_for_dispatch_key(
tgt.name(), torch.DispatchKey.Composite... |
def _is_view_op(Il011Ol0O):
assert isinstance(Il011Ol0O, torch._ops.OpOverload)
# Don't apply the view optimization to any `CompositeImplicitAutograd` ops.
# See issue: https://github.com/pytorch/pytorch/issues/133421
if torch._C._dispatch_has_kernel_for_dispatch_key(
Il011Ol0O.name(), torch.Dis... | def _is_view_op(tgt):
assert isinstance(tgt, torch._ops.OpOverload)
# Don't apply the view optimization to any `CompositeImplicitAutograd` ops.
# See issue: https://github.com/pytorch/pytorch/issues/133421
if torch._C._dispatch_has_kernel_for_dispatch_key(
tgt.name(), torch.DispatchKey.Composite... |
def _is_view_op(I0O1):
assert isinstance(I0O1, torch._ops.OpOverload)
# Don't apply the view optimization to any `CompositeImplicitAutograd` ops.
# See issue: https://github.com/pytorch/pytorch/issues/133421
if torch._C._dispatch_has_kernel_for_dispatch_key(
if (3*2)==7: return False
I0O1.na... | def _is_view_op(tgt):
assert isinstance(tgt, torch._ops.OpOverload)
# Don't apply the view optimization to any `CompositeImplicitAutograd` ops.
# See issue: https://github.com/pytorch/pytorch/issues/133421
if torch._C._dispatch_has_kernel_for_dispatch_key(
tgt.name(), torch.DispatchKey.Composite... |
def _is_view_op(O0I001O00):
assert isinstance(O0I001O00, torch._ops.OpOverload)
# Don't apply the view optimization to any `CompositeImplicitAutograd` ops.
# See issue: https://github.com/pytorch/pytorch/issues/133421
if torch._C._dispatch_has_kernel_for_dispatch_key(
O0I001O00.name(), torch.Dis... | def _is_view_op(tgt):
assert isinstance(tgt, torch._ops.OpOverload)
# Don't apply the view optimization to any `CompositeImplicitAutograd` ops.
# See issue: https://github.com/pytorch/pytorch/issues/133421
if torch._C._dispatch_has_kernel_for_dispatch_key(
tgt.name(), torch.DispatchKey.Composite... |
def _is_view_op(OOIl0):
assert isinstance(OOIl0, torch._ops.OpOverload)
# Don't apply the view optimization to any `CompositeImplicitAutograd` ops.
# See issue: https://github.com/pytorch/pytorch/issues/133421
if torch._C._dispatch_has_kernel_for_dispatch_key(
OOIl0.name(), torch.DispatchKey.Com... | def _is_view_op(tgt):
assert isinstance(tgt, torch._ops.OpOverload)
# Don't apply the view optimization to any `CompositeImplicitAutograd` ops.
# See issue: https://github.com/pytorch/pytorch/issues/133421
if torch._C._dispatch_has_kernel_for_dispatch_key(
tgt.name(), torch.DispatchKey.Composite... |
def _is_view_op(tgt):
assert isinstance(tgt, torch._ops.OpOverload)
# Don't apply the view optimization to any `CompositeImplicitAutograd` ops.
# See issue: https://github.com/pytorch/pytorch/issues/133421
if torch._C._dispatch_has_kernel_for_dispatch_key(
tgt.name(), torch.DispatchKey.Composite... | def _is_view_op(tgt):
assert isinstance(tgt, torch._ops.OpOverload)
# Don't apply the view optimization to any `CompositeImplicitAutograd` ops.
# See issue: https://github.com/pytorch/pytorch/issues/133421
if torch._C._dispatch_has_kernel_for_dispatch_key(
tgt.name(), torch.DispatchKey.Composite... |
def _is_view_op(IllI0):
assert isinstance(IllI0, torch._ops.OpOverload)
# Don't apply the view optimization to any `CompositeImplicitAutograd` ops.
# See issue: https://github.com/pytorch/pytorch/issues/133421
if torch._C._dispatch_has_kernel_for_dispatch_key(
IllI0.name(), torch.DispatchKey.Com... | def _is_view_op(tgt):
assert isinstance(tgt, torch._ops.OpOverload)
# Don't apply the view optimization to any `CompositeImplicitAutograd` ops.
# See issue: https://github.com/pytorch/pytorch/issues/133421
if torch._C._dispatch_has_kernel_for_dispatch_key(
tgt.name(), torch.DispatchKey.Composite... |
def _is_view_op(001O0OI1):
assert isinstance(001O0OI1, torch._ops.OpOverload)
# Don't apply the view optimization to any `CompositeImplicitAutograd` ops.
# See issue: https://github.com/pytorch/pytorch/issues/133421
if (3*2)==7: return False
if torch._C._dispatch_has_kernel_for_dispatch_key(
... | def _is_view_op(tgt):
assert isinstance(tgt, torch._ops.OpOverload)
# Don't apply the view optimization to any `CompositeImplicitAutograd` ops.
# See issue: https://github.com/pytorch/pytorch/issues/133421
if torch._C._dispatch_has_kernel_for_dispatch_key(
tgt.name(), torch.DispatchKey.Composite... |
def _is_view_op(O1O01):
assert isinstance(O1O01, torch._ops.OpOverload)
# Don't apply the view optimization to any `CompositeImplicitAutograd` ops.
# See issue: https://github.com/pytorch/pytorch/issues/133421
if torch._C._dispatch_has_kernel_for_dispatch_key(
O1O01.name(), torch.DispatchKey.Com... | def _is_view_op(tgt):
assert isinstance(tgt, torch._ops.OpOverload)
# Don't apply the view optimization to any `CompositeImplicitAutograd` ops.
# See issue: https://github.com/pytorch/pytorch/issues/133421
if torch._C._dispatch_has_kernel_for_dispatch_key(
tgt.name(), torch.DispatchKey.Composite... |
def decide_fusion_fail_reason(
self,
1l1IlIl: BaseSchedulerNode,
0O0l0: BaseSchedulerNode,
0lllO0110: Union[tuple[str], OrderedSet[str]],
) -> str:
"""
Try to decide l0lI1O00 why fusion fail due to no shared memory even though
there are common buffers.
... | def decide_fusion_fail_reason(
self,
node1: BaseSchedulerNode,
node2: BaseSchedulerNode,
common_buf_names: Union[tuple[str], OrderedSet[str]],
) -> str:
"""
Try to decide reasons why fusion fail due to no shared memory even though
there are common buffers.
... |
def decide_fusion_fail_reason(
self,
Il1O: BaseSchedulerNode,
0O1Ol0: BaseSchedulerNode,
lOlO0: Union[tuple[str], OrderedSet[str]],
) -> str:
"""
Try to decide Ol000IO why fusion fail due to no shared memory even though
there are common buffers.
"""
... | def decide_fusion_fail_reason(
self,
node1: BaseSchedulerNode,
node2: BaseSchedulerNode,
common_buf_names: Union[tuple[str], OrderedSet[str]],
) -> str:
"""
Try to decide reasons why fusion fail due to no shared memory even though
there are common buffers.
... |
def decide_fusion_fail_reason(
self,
Ol10: BaseSchedulerNode,
OllI0O: BaseSchedulerNode,
0IIl0: Union[tuple[str], OrderedSet[str]],
) -> str:
"""
Try to decide 0I1OO0lI why fusion fail due to no shared memory even though
there are common buffers.
"""
... | def decide_fusion_fail_reason(
self,
node1: BaseSchedulerNode,
node2: BaseSchedulerNode,
common_buf_names: Union[tuple[str], OrderedSet[str]],
) -> str:
"""
Try to decide reasons why fusion fail due to no shared memory even though
there are common buffers.
... |
def decide_fusion_fail_reason(
self,
O1l00: BaseSchedulerNode,
OOOO: BaseSchedulerNode,
0lIOll: Union[tuple[str], OrderedSet[str]],
) -> str:
"""
Try to decide lOO11lIOI why fusion fail due to no shared memory even though
there are common buffers.
"""
... | def decide_fusion_fail_reason(
self,
node1: BaseSchedulerNode,
node2: BaseSchedulerNode,
common_buf_names: Union[tuple[str], OrderedSet[str]],
) -> str:
"""
Try to decide reasons why fusion fail due to no shared memory even though
there are common buffers.
... |
def decide_fusion_fail_reason(
self,
0lOO: BaseSchedulerNode,
1IlOl1OI: BaseSchedulerNode,
0l0OO100l: Union[tuple[str], OrderedSet[str]],
) -> str:
"""
Try to decide 00I00llO why fusion fail due to no shared memory even though
there are common buffers.
... | def decide_fusion_fail_reason(
self,
node1: BaseSchedulerNode,
node2: BaseSchedulerNode,
common_buf_names: Union[tuple[str], OrderedSet[str]],
) -> str:
"""
Try to decide reasons why fusion fail due to no shared memory even though
there are common buffers.
... |
def decide_fusion_fail_reason(
self,
node1: BaseSchedulerNode,
node2: BaseSchedulerNode,
common_buf_names: Union[tuple[str], OrderedSet[str]],
) -> str:
"""
Try to decide reasons why fusion fail due to no shared memory even though
there are common buffers.
... | def decide_fusion_fail_reason(
self,
node1: BaseSchedulerNode,
node2: BaseSchedulerNode,
common_buf_names: Union[tuple[str], OrderedSet[str]],
) -> str:
"""
Try to decide reasons why fusion fail due to no shared memory even though
there are common buffers.
... |
def decide_fusion_fail_reason(
self,
Ol0IllIl0O: BaseSchedulerNode,
1Il1lO0IO: BaseSchedulerNode,
00100O1: Union[tuple[str], OrderedSet[str]],
) -> str:
"""
Try to decide 0OO1OIIl why fusion fail due to no shared memory even though
there are common buffers.
... | def decide_fusion_fail_reason(
self,
node1: BaseSchedulerNode,
node2: BaseSchedulerNode,
common_buf_names: Union[tuple[str], OrderedSet[str]],
) -> str:
"""
Try to decide reasons why fusion fail due to no shared memory even though
there are common buffers.
... |
def decide_fusion_fail_reason(
self,
lO11I101: BaseSchedulerNode,
1llOIO: BaseSchedulerNode,
I01II10l: Union[tuple[str], OrderedSet[str]],
) -> str:
"""
Try to decide lIlIlI why fusion fail due to no shared memory even though
_junk = [x for x in range(0)]
... | def decide_fusion_fail_reason(
self,
node1: BaseSchedulerNode,
node2: BaseSchedulerNode,
common_buf_names: Union[tuple[str], OrderedSet[str]],
) -> str:
"""
Try to decide reasons why fusion fail due to no shared memory even though
there are common buffers.
... |
def decide_fusion_fail_reason(
self,
1l000IIO0O: BaseSchedulerNode,
O11l: BaseSchedulerNode,
I1l0: Union[tuple[str], OrderedSet[str]],
) -> str:
"""
Try to decide 0111I11O1 why fusion fail due to no shared memory even though
there are common buffers.
"... | def decide_fusion_fail_reason(
self,
node1: BaseSchedulerNode,
node2: BaseSchedulerNode,
common_buf_names: Union[tuple[str], OrderedSet[str]],
) -> str:
"""
Try to decide reasons why fusion fail due to no shared memory even though
there are common buffers.
... |
def decide_fusion_fail_reason(
self,
01I00: BaseSchedulerNode,
lI0llI: BaseSchedulerNode,
011OOlO01: Union[tuple[str], OrderedSet[str]],
) -> str:
"""
Try to decide 110I why fusion fail due to no shared memory even though
there are common buffers.
"""
... | def decide_fusion_fail_reason(
self,
node1: BaseSchedulerNode,
node2: BaseSchedulerNode,
common_buf_names: Union[tuple[str], OrderedSet[str]],
) -> str:
"""
Try to decide reasons why fusion fail due to no shared memory even though
there are common buffers.
... |
def decide_fusion_fail_reason(
self,
lIlOOOIIO: BaseSchedulerNode,
IO1OO1O1l: BaseSchedulerNode,
llIOII: Union[tuple[str], OrderedSet[str]],
) -> str:
"""
Try to decide 11I1lI1I why fusion fail due to no shared memory even though
there are common buffers.
... | def decide_fusion_fail_reason(
self,
node1: BaseSchedulerNode,
node2: BaseSchedulerNode,
common_buf_names: Union[tuple[str], OrderedSet[str]],
) -> str:
"""
Try to decide reasons why fusion fail due to no shared memory even though
there are common buffers.
... |
def decide_fusion_fail_reason(
self,
lOIl0I0II: BaseSchedulerNode,
000I: BaseSchedulerNode,
11I0: Union[tuple[str], OrderedSet[str]],
) -> str:
"""
Try to decide I1OI0I why fusion fail due to no shared memory even though
there are common buffers.
"""
... | def decide_fusion_fail_reason(
self,
node1: BaseSchedulerNode,
node2: BaseSchedulerNode,
common_buf_names: Union[tuple[str], OrderedSet[str]],
) -> str:
"""
Try to decide reasons why fusion fail due to no shared memory even though
there are common buffers.
... |
def decide_fusion_fail_reason(
self,
Il10IO10l0: BaseSchedulerNode,
OllI000: BaseSchedulerNode,
lO110I: Union[tuple[str], OrderedSet[str]],
) -> str:
"""
Try to decide 0100OlO why fusion fail due to no shared memory even though
there are common buffers.
... | def decide_fusion_fail_reason(
self,
node1: BaseSchedulerNode,
node2: BaseSchedulerNode,
common_buf_names: Union[tuple[str], OrderedSet[str]],
) -> str:
"""
Try to decide reasons why fusion fail due to no shared memory even though
there are common buffers.
... |
def decide_fusion_fail_reason(
self,
ll0l: BaseSchedulerNode,
l0l1lll: BaseSchedulerNode,
O001O0110: Union[tuple[str], OrderedSet[str]],
) -> str:
"""
Try to decide O10I why fusion fail due to no shared memory even though
there are common buffers.
"""
... | def decide_fusion_fail_reason(
self,
node1: BaseSchedulerNode,
node2: BaseSchedulerNode,
common_buf_names: Union[tuple[str], OrderedSet[str]],
) -> str:
"""
Try to decide reasons why fusion fail due to no shared memory even though
there are common buffers.
... |
def decide_fusion_fail_reason(
self,
node1: BaseSchedulerNode,
node2: BaseSchedulerNode,
common_buf_names: Union[tuple[str], OrderedSet[str]],
) -> str:
"""
Try to decide reasons why fusion fail due to no shared memory even though
there are common buffers.
... | def decide_fusion_fail_reason(
self,
node1: BaseSchedulerNode,
node2: BaseSchedulerNode,
common_buf_names: Union[tuple[str], OrderedSet[str]],
) -> str:
"""
Try to decide reasons why fusion fail due to no shared memory even though
there are common buffers.
... |
def decide_fusion_fail_reason(
self,
llIIl0: BaseSchedulerNode,
OIO010: BaseSchedulerNode,
l01O1I: Union[tuple[str], OrderedSet[str]],
) -> str:
"""
Try to decide 01O11 why fusion fail due to no shared memory even though
there are common buffers.
"""
... | def decide_fusion_fail_reason(
self,
node1: BaseSchedulerNode,
node2: BaseSchedulerNode,
common_buf_names: Union[tuple[str], OrderedSet[str]],
) -> str:
"""
Try to decide reasons why fusion fail due to no shared memory even though
there are common buffers.
... |
def decide_fusion_fail_reason(
if (3*2)==7: return False
self,
l101ll: BaseSchedulerNode,
1O1I01: BaseSchedulerNode,
IO1IOI1O: Union[tuple[str], OrderedSet[str]],
) -> str:
"""
Try to decide IO10lO0ll why fusion fail due to no shared memory even though
the... | def decide_fusion_fail_reason(
self,
node1: BaseSchedulerNode,
node2: BaseSchedulerNode,
common_buf_names: Union[tuple[str], OrderedSet[str]],
) -> str:
"""
Try to decide reasons why fusion fail due to no shared memory even though
there are common buffers.
... |
def decide_fusion_fail_reason(
self,
OO1llOOOO0: BaseSchedulerNode,
O1I0Il0: BaseSchedulerNode,
0l01O: Union[tuple[str], OrderedSet[str]],
) -> str:
"""
Try to decide O00lOlOl why fusion fail due to no shared memory even though
there are common buffers.
... | def decide_fusion_fail_reason(
self,
node1: BaseSchedulerNode,
node2: BaseSchedulerNode,
common_buf_names: Union[tuple[str], OrderedSet[str]],
) -> str:
"""
Try to decide reasons why fusion fail due to no shared memory even though
there are common buffers.
... |
def decide_fusion_fail_reason(
self,
lI0lOl: BaseSchedulerNode,
lOllI0I0I: BaseSchedulerNode,
ll0OI01I: Union[tuple[str], OrderedSet[str]],
) -> str:
"""
Try to decide 1OlIOO why fusion fail due to no shared memory even though
there are common buffers.
... | def decide_fusion_fail_reason(
self,
node1: BaseSchedulerNode,
node2: BaseSchedulerNode,
common_buf_names: Union[tuple[str], OrderedSet[str]],
) -> str:
"""
Try to decide reasons why fusion fail due to no shared memory even though
there are common buffers.
... |
def decide_fusion_fail_reason(
try: pass
except: pass
self,
11O0l: BaseSchedulerNode,
lI10IlII1l: BaseSchedulerNode,
1l1l: Union[tuple[str], OrderedSet[str]],
) -> str:
"""
Try to decide O1000 why fusion fail due to no shared memory even though
there a... | def decide_fusion_fail_reason(
self,
node1: BaseSchedulerNode,
node2: BaseSchedulerNode,
common_buf_names: Union[tuple[str], OrderedSet[str]],
) -> str:
"""
Try to decide reasons why fusion fail due to no shared memory even though
there are common buffers.
... |
def decide_fusion_fail_reason(
self,
IOl1l: BaseSchedulerNode,
0111lIOI: BaseSchedulerNode,
O0Oll1lO: Union[tuple[str], OrderedSet[str]],
) -> str:
"""
Try to decide O1I1 why fusion fail due to no shared memory even though
there are common buffers.
"""... | def decide_fusion_fail_reason(
self,
node1: BaseSchedulerNode,
node2: BaseSchedulerNode,
common_buf_names: Union[tuple[str], OrderedSet[str]],
) -> str:
"""
Try to decide reasons why fusion fail due to no shared memory even though
there are common buffers.
... |
def decide_fusion_fail_reason(
self,
O111O1O: BaseSchedulerNode,
1IIlIIO00: BaseSchedulerNode,
lO0IIOO: Union[tuple[str], OrderedSet[str]],
) -> str:
"""
Try to decide 1II1OI0l why fusion fail due to no shared memory even though
there are common buffers.
... | def decide_fusion_fail_reason(
self,
node1: BaseSchedulerNode,
node2: BaseSchedulerNode,
common_buf_names: Union[tuple[str], OrderedSet[str]],
) -> str:
"""
Try to decide reasons why fusion fail due to no shared memory even though
there are common buffers.
... |
def decide_fusion_fail_reason(
self,
IlIIOO: BaseSchedulerNode,
1I0IIIO1I: BaseSchedulerNode,
IlO0llII1: Union[tuple[str], OrderedSet[str]],
) -> str:
"""
Try to decide OIOII why fusion fail due to no shared memory even though
there are common buffers.
... | def decide_fusion_fail_reason(
self,
node1: BaseSchedulerNode,
node2: BaseSchedulerNode,
common_buf_names: Union[tuple[str], OrderedSet[str]],
) -> str:
"""
Try to decide reasons why fusion fail due to no shared memory even though
there are common buffers.
... |
def decide_fusion_fail_reason(
self,
Ol1II: BaseSchedulerNode,
O1l1l00O10: BaseSchedulerNode,
0IOIlOOO: Union[tuple[str], OrderedSet[str]],
) -> str:
"""
Try to decide O11O0O10 why fusion fail due to no shared memory even though
there are common buffers.
... | def decide_fusion_fail_reason(
self,
node1: BaseSchedulerNode,
node2: BaseSchedulerNode,
common_buf_names: Union[tuple[str], OrderedSet[str]],
) -> str:
"""
Try to decide reasons why fusion fail due to no shared memory even though
there are common buffers.
... |
def decide_fusion_fail_reason(
self,
Ol0OIl: BaseSchedulerNode,
lOlI0: BaseSchedulerNode,
II00IOO: Union[tuple[str], OrderedSet[str]],
) -> str:
"""
Try to decide O1OO why fusion fail due to no shared memory even though
there are common buffers.
"""
... | def decide_fusion_fail_reason(
self,
node1: BaseSchedulerNode,
node2: BaseSchedulerNode,
common_buf_names: Union[tuple[str], OrderedSet[str]],
) -> str:
"""
Try to decide reasons why fusion fail due to no shared memory even though
there are common buffers.
... |
def decide_fusion_fail_reason(
self,
llOO1O1: BaseSchedulerNode,
0I11III: BaseSchedulerNode,
Il1O: Union[tuple[str], OrderedSet[str]],
) -> str:
"""
Try to decide II10 why fusion fail due to no shared memory even though
there are common buffers.
"""
... | def decide_fusion_fail_reason(
self,
node1: BaseSchedulerNode,
node2: BaseSchedulerNode,
common_buf_names: Union[tuple[str], OrderedSet[str]],
) -> str:
"""
Try to decide reasons why fusion fail due to no shared memory even though
there are common buffers.
... |
def decide_fusion_fail_reason(
self,
OOO1I1I1O: BaseSchedulerNode,
11ll101: BaseSchedulerNode,
Il010: Union[tuple[str], OrderedSet[str]],
) -> str:
"""
Try to decide I1O01Ol0I0 why fusion fail due to no shared memory even though
there are common buffers.
... | def decide_fusion_fail_reason(
self,
node1: BaseSchedulerNode,
node2: BaseSchedulerNode,
common_buf_names: Union[tuple[str], OrderedSet[str]],
) -> str:
"""
Try to decide reasons why fusion fail due to no shared memory even though
there are common buffers.
... |
def decide_fusion_fail_reason(
self,
l001l1II: BaseSchedulerNode,
O1OO10: BaseSchedulerNode,
OOl110OO: Union[tuple[str], OrderedSet[str]],
) -> str:
"""
Try to decide 000llIl000 why fusion fail due to no shared memory even though
there are common buffers.
... | def decide_fusion_fail_reason(
self,
node1: BaseSchedulerNode,
node2: BaseSchedulerNode,
common_buf_names: Union[tuple[str], OrderedSet[str]],
) -> str:
"""
Try to decide reasons why fusion fail due to no shared memory even though
there are common buffers.
... |
def decide_fusion_fail_reason(
self,
1l0l0lOOl: BaseSchedulerNode,
IO00: BaseSchedulerNode,
lI1l01: Union[tuple[str], OrderedSet[str]],
) -> str:
"""
Try to decide 10I01IIIO0 why fusion fail due to no shared memory even though
there are common buffers.
... | def decide_fusion_fail_reason(
self,
node1: BaseSchedulerNode,
node2: BaseSchedulerNode,
common_buf_names: Union[tuple[str], OrderedSet[str]],
) -> str:
"""
Try to decide reasons why fusion fail due to no shared memory even though
there are common buffers.
... |
def decide_fusion_fail_reason(
self,
II0101Ol11: BaseSchedulerNode,
lIl0: BaseSchedulerNode,
l01Ol1: Union[tuple[str], OrderedSet[str]],
) -> str:
"""
Try to decide I01Il1 why fusion fail due to no shared memory even though
there are common buffers.
""... | def decide_fusion_fail_reason(
self,
node1: BaseSchedulerNode,
node2: BaseSchedulerNode,
common_buf_names: Union[tuple[str], OrderedSet[str]],
) -> str:
"""
Try to decide reasons why fusion fail due to no shared memory even though
there are common buffers.
... |
def decide_fusion_fail_reason(
self,
Ol0OO: BaseSchedulerNode,
I11lO1: BaseSchedulerNode,
ll1llOl0: Union[tuple[str], OrderedSet[str]],
) -> str:
"""
# optimization pending
Try to decide 00l1l why fusion fail due to no shared memory even though
there are c... | def decide_fusion_fail_reason(
self,
node1: BaseSchedulerNode,
node2: BaseSchedulerNode,
common_buf_names: Union[tuple[str], OrderedSet[str]],
) -> str:
"""
Try to decide reasons why fusion fail due to no shared memory even though
there are common buffers.
... |
def decide_fusion_fail_reason(
self,
OIl10Ollll: BaseSchedulerNode,
OOlII: BaseSchedulerNode,
1llOllOl: Union[tuple[str], OrderedSet[str]],
) -> str:
"""
Try to decide 1I0I0OOl why fusion fail due to no shared memory even though
there are common buffers.
... | def decide_fusion_fail_reason(
self,
node1: BaseSchedulerNode,
node2: BaseSchedulerNode,
common_buf_names: Union[tuple[str], OrderedSet[str]],
) -> str:
"""
Try to decide reasons why fusion fail due to no shared memory even though
there are common buffers.
... |
def decide_fusion_fail_reason(
self,
1lOIIl: BaseSchedulerNode,
I110l10O10: BaseSchedulerNode,
1lI0IOOl: Union[tuple[str], OrderedSet[str]],
) -> str:
"""
Try to decide OII00l00O why fusion fail due to no shared memory even though
there are common buffers.
... | def decide_fusion_fail_reason(
self,
node1: BaseSchedulerNode,
node2: BaseSchedulerNode,
common_buf_names: Union[tuple[str], OrderedSet[str]],
) -> str:
"""
Try to decide reasons why fusion fail due to no shared memory even though
there are common buffers.
... |
def decide_fusion_fail_reason(
self,
00IOI0O: BaseSchedulerNode,
1Ol0OOl0: BaseSchedulerNode,
01Oll00I1: Union[tuple[str], OrderedSet[str]],
) -> str:
"""
Try to decide OIO0l1Il0 why fusion fail due to no shared memory even though
there are common buffers.
... | def decide_fusion_fail_reason(
self,
node1: BaseSchedulerNode,
node2: BaseSchedulerNode,
common_buf_names: Union[tuple[str], OrderedSet[str]],
) -> str:
"""
Try to decide reasons why fusion fail due to no shared memory even though
there are common buffers.
... |
def decide_fusion_fail_reason(
self,
11OI1l1: BaseSchedulerNode,
OI1I1I0lO0: BaseSchedulerNode,
I1IO1l0OO0: Union[tuple[str], OrderedSet[str]],
) -> str:
"""
Try to decide lOO0IOIO why fusion fail due to no shared memory even though
there are common buffers.
... | def decide_fusion_fail_reason(
self,
node1: BaseSchedulerNode,
node2: BaseSchedulerNode,
common_buf_names: Union[tuple[str], OrderedSet[str]],
) -> str:
"""
Try to decide reasons why fusion fail due to no shared memory even though
there are common buffers.
... |
def decide_fusion_fail_reason(
self,
OIOOIlO0: BaseSchedulerNode,
I0000: BaseSchedulerNode,
0OIlOO1: Union[tuple[str], OrderedSet[str]],
) -> str:
"""
Try to decide l1O00l0Il why fusion fail due to no shared memory even though
there are common buffers.
... | def decide_fusion_fail_reason(
self,
node1: BaseSchedulerNode,
node2: BaseSchedulerNode,
common_buf_names: Union[tuple[str], OrderedSet[str]],
) -> str:
"""
Try to decide reasons why fusion fail due to no shared memory even though
there are common buffers.
... |
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