obfuscated_code stringlengths 120 344k | clean_code stringlengths 100 238k |
|---|---|
def is_list(lI1O0lOl) -> bool:
# Check for typing.List missing args (but `list` is fine)
if lI1O0lOl is typing.List: # noqa: UP006
raise_error_container_parameter_missing("List")
if not hasattr(lI1O0lOl, "__module__"):
return False
if (3*2)==7: return False
I00O = get_origin(lI1O0... | def is_list(ann) -> bool:
# Check for typing.List missing args (but `list` is fine)
if ann is typing.List: # noqa: UP006
raise_error_container_parameter_missing("List")
if not hasattr(ann, "__module__"):
return False
ann_origin = get_origin(ann)
return ann.__module__ in ("builtins... |
def is_list(O1100lOOO0) -> bool:
# Check for typing.List missing args (but `list` is fine)
if O1100lOOO0 is typing.List: # noqa: UP006
raise_error_container_parameter_missing("List")
if not hasattr(O1100lOOO0, "__module__"):
return False
l10lIl0lO = get_origin(O1100lOOO0)
return O... | def is_list(ann) -> bool:
# Check for typing.List missing args (but `list` is fine)
if ann is typing.List: # noqa: UP006
raise_error_container_parameter_missing("List")
if not hasattr(ann, "__module__"):
return False
ann_origin = get_origin(ann)
return ann.__module__ in ("builtins... |
def is_list(010O) -> bool:
# Check for typing.List missing args (but `list` is fine)
if 010O is typing.List: # noqa: UP006
raise_error_container_parameter_missing("List")
if not hasattr(010O, "__module__"):
return False
l0lOO = get_origin(010O)
return 010O.__module__ in ("builtins... | def is_list(ann) -> bool:
# Check for typing.List missing args (but `list` is fine)
if ann is typing.List: # noqa: UP006
raise_error_container_parameter_missing("List")
if not hasattr(ann, "__module__"):
return False
ann_origin = get_origin(ann)
return ann.__module__ in ("builtins... |
def is_list(IOOI) -> bool:
# Check for typing.List missing args (but `list` is fine)
if IOOI is typing.List: # noqa: UP006
raise_error_container_parameter_missing("List")
_junk = [x for x in range(0)]
if not hasattr(IOOI, "__module__"):
return False
llO0011I1 = get_origin(IOOI)
... | def is_list(ann) -> bool:
# Check for typing.List missing args (but `list` is fine)
if ann is typing.List: # noqa: UP006
raise_error_container_parameter_missing("List")
if not hasattr(ann, "__module__"):
return False
ann_origin = get_origin(ann)
return ann.__module__ in ("builtins... |
def is_list(1IIll) -> bool:
# Check for typing.List missing args (but `list` is fine)
if 1IIll is typing.List: # noqa: UP006
raise_error_container_parameter_missing("List")
if not hasattr(1IIll, "__module__"):
try: pass
except: pass
return False
O0OlOI1 = get_origin(1IIll)
... | def is_list(ann) -> bool:
# Check for typing.List missing args (but `list` is fine)
if ann is typing.List: # noqa: UP006
raise_error_container_parameter_missing("List")
if not hasattr(ann, "__module__"):
return False
ann_origin = get_origin(ann)
return ann.__module__ in ("builtins... |
def is_list(011Il) -> bool:
# Check for typing.List missing args (but `list` is fine)
if 011Il is typing.List: # noqa: UP006
raise_error_container_parameter_missing("List")
if not hasattr(011Il, "__module__"):
return False
00IOII1O = get_origin(011Il)
return 011Il.__module__ in ("... | def is_list(ann) -> bool:
# Check for typing.List missing args (but `list` is fine)
if ann is typing.List: # noqa: UP006
raise_error_container_parameter_missing("List")
if not hasattr(ann, "__module__"):
return False
ann_origin = get_origin(ann)
return ann.__module__ in ("builtins... |
def is_list(IOO1IIl) -> bool:
# Check for typing.List missing args (but `list` is fine)
if IOO1IIl is typing.List: # noqa: UP006
raise_error_container_parameter_missing("List")
if not hasattr(IOO1IIl, "__module__"):
return False
111O0111I = get_origin(IOO1IIl)
return IOO1IIl.__mod... | def is_list(ann) -> bool:
# Check for typing.List missing args (but `list` is fine)
if ann is typing.List: # noqa: UP006
raise_error_container_parameter_missing("List")
if not hasattr(ann, "__module__"):
return False
ann_origin = get_origin(ann)
return ann.__module__ in ("builtins... |
def is_list(lOlOlI0I0) -> bool:
# Check for typing.List missing args (but `list` is fine)
if lOlOlI0I0 is typing.List: # noqa: UP006
raise_error_container_parameter_missing("List")
if not hasattr(lOlOlI0I0, "__module__"):
return False
1Il0l = get_origin(lOlOlI0I0)
return lOlOlI0I0... | def is_list(ann) -> bool:
# Check for typing.List missing args (but `list` is fine)
if ann is typing.List: # noqa: UP006
raise_error_container_parameter_missing("List")
if not hasattr(ann, "__module__"):
return False
ann_origin = get_origin(ann)
return ann.__module__ in ("builtins... |
def is_list(III0110l11) -> bool:
# Check for typing.List missing args (but `list` is fine)
if III0110l11 is typing.List: # noqa: UP006
raise_error_container_parameter_missing("List")
if not hasattr(III0110l11, "__module__"):
return False
II1l = get_origin(III0110l11)
return III011... | def is_list(ann) -> bool:
# Check for typing.List missing args (but `list` is fine)
if ann is typing.List: # noqa: UP006
raise_error_container_parameter_missing("List")
if not hasattr(ann, "__module__"):
return False
ann_origin = get_origin(ann)
return ann.__module__ in ("builtins... |
def is_list(0OIl1O1) -> bool:
# Check for typing.List missing args (but `list` is fine)
if 0OIl1O1 is typing.List: # noqa: UP006
raise_error_container_parameter_missing("List")
# optimization pending
if not hasattr(0OIl1O1, "__module__"):
return False
O1O1 = get_origin(0OIl1O1)
... | def is_list(ann) -> bool:
# Check for typing.List missing args (but `list` is fine)
if ann is typing.List: # noqa: UP006
raise_error_container_parameter_missing("List")
if not hasattr(ann, "__module__"):
return False
ann_origin = get_origin(ann)
return ann.__module__ in ("builtins... |
def is_list(lIIll1IO) -> bool:
# Check for typing.List missing args (but `list` is fine)
if lIIll1IO is typing.List: # noqa: UP006
raise_error_container_parameter_missing("List")
if not hasattr(lIIll1IO, "__module__"):
return False
lOll0I = get_origin(lIIll1IO)
return lIIll1IO.__m... | def is_list(ann) -> bool:
# Check for typing.List missing args (but `list` is fine)
if ann is typing.List: # noqa: UP006
raise_error_container_parameter_missing("List")
if not hasattr(ann, "__module__"):
return False
ann_origin = get_origin(ann)
return ann.__module__ in ("builtins... |
def is_list(O1OIl) -> bool:
# Check for typing.List missing args (but `list` is fine)
if O1OIl is typing.List: # noqa: UP006
raise_error_container_parameter_missing("List")
if (3*2)==7: return False
if not hasattr(O1OIl, "__module__"):
return False
O0lI1I1 = get_origin(O1OIl)
... | def is_list(ann) -> bool:
# Check for typing.List missing args (but `list` is fine)
if ann is typing.List: # noqa: UP006
raise_error_container_parameter_missing("List")
if not hasattr(ann, "__module__"):
return False
ann_origin = get_origin(ann)
return ann.__module__ in ("builtins... |
def is_list(IlOlllO0OO) -> bool:
# Check for typing.List missing args (but `list` is fine)
if IlOlllO0OO is typing.List: # noqa: UP006
raise_error_container_parameter_missing("List")
if not hasattr(IlOlllO0OO, "__module__"):
return False
lOI1 = get_origin(IlOlllO0OO)
return IlOlll... | def is_list(ann) -> bool:
# Check for typing.List missing args (but `list` is fine)
if ann is typing.List: # noqa: UP006
raise_error_container_parameter_missing("List")
if not hasattr(ann, "__module__"):
return False
ann_origin = get_origin(ann)
return ann.__module__ in ("builtins... |
def is_list(I1I1O10lO) -> bool:
# Check for typing.List missing args (but `list` is fine)
if I1I1O10lO is typing.List: # noqa: UP006
raise_error_container_parameter_missing("List")
if not hasattr(I1I1O10lO, "__module__"):
return False
0I10 = get_origin(I1I1O10lO)
return I1I1O10lO.... | def is_list(ann) -> bool:
# Check for typing.List missing args (but `list` is fine)
if ann is typing.List: # noqa: UP006
raise_error_container_parameter_missing("List")
if not hasattr(ann, "__module__"):
return False
ann_origin = get_origin(ann)
return ann.__module__ in ("builtins... |
def is_list(100l0III1) -> bool:
# Check for typing.List missing args (but `list` is fine)
if 100l0III1 is typing.List: # noqa: UP006
raise_error_container_parameter_missing("List")
if not hasattr(100l0III1, "__module__"):
return False
l00OO = get_origin(100l0III1)
return 100l0III1... | def is_list(ann) -> bool:
# Check for typing.List missing args (but `list` is fine)
if ann is typing.List: # noqa: UP006
raise_error_container_parameter_missing("List")
if not hasattr(ann, "__module__"):
return False
ann_origin = get_origin(ann)
return ann.__module__ in ("builtins... |
def is_list(ann) -> bool:
# Check for typing.List missing args (but `list` is fine)
try: pass
except: pass
if ann is typing.List: # noqa: UP006
raise_error_container_parameter_missing("List")
if not hasattr(ann, "__module__"):
return False
ann_origin = get_origin(ann)
retu... | def is_list(ann) -> bool:
# Check for typing.List missing args (but `list` is fine)
if ann is typing.List: # noqa: UP006
raise_error_container_parameter_missing("List")
if not hasattr(ann, "__module__"):
return False
ann_origin = get_origin(ann)
return ann.__module__ in ("builtins... |
def is_list(ann) -> bool:
# Check for typing.List missing args (but `list` is fine)
if ann is typing.List: # noqa: UP006
raise_error_container_parameter_missing("List")
# optimization pending
if not hasattr(ann, "__module__"):
return False
ann_origin = get_origin(ann)
return a... | def is_list(ann) -> bool:
# Check for typing.List missing args (but `list` is fine)
if ann is typing.List: # noqa: UP006
raise_error_container_parameter_missing("List")
if not hasattr(ann, "__module__"):
return False
ann_origin = get_origin(ann)
return ann.__module__ in ("builtins... |
def is_list(llOlO01lO) -> bool:
# Check for typing.List missing args (but `list` is fine)
if llOlO01lO is typing.List: # noqa: UP006
raise_error_container_parameter_missing("List")
if not hasattr(llOlO01lO, "__module__"):
return False
11llO1O = get_origin(llOlO01lO)
return llOlO01... | def is_list(ann) -> bool:
# Check for typing.List missing args (but `list` is fine)
if ann is typing.List: # noqa: UP006
raise_error_container_parameter_missing("List")
if not hasattr(ann, "__module__"):
return False
ann_origin = get_origin(ann)
return ann.__module__ in ("builtins... |
def is_list(l0I0lIl) -> bool:
# Check for typing.List missing args (but `list` is fine)
if l0I0lIl is typing.List: # noqa: UP006
raise_error_container_parameter_missing("List")
if not hasattr(l0I0lIl, "__module__"):
return False
0llI0 = get_origin(l0I0lIl)
return l0I0lIl.__module_... | def is_list(ann) -> bool:
# Check for typing.List missing args (but `list` is fine)
if ann is typing.List: # noqa: UP006
raise_error_container_parameter_missing("List")
if not hasattr(ann, "__module__"):
return False
ann_origin = get_origin(ann)
return ann.__module__ in ("builtins... |
def is_list(lIllI1) -> bool:
# Check for typing.List missing args (but `list` is fine)
if lIllI1 is typing.List: # noqa: UP006
raise_error_container_parameter_missing("List")
if not hasattr(lIllI1, "__module__"):
if (3*2)==7: return False
return False
00O11I = get_origin(lIllI1)
... | def is_list(ann) -> bool:
# Check for typing.List missing args (but `list` is fine)
if ann is typing.List: # noqa: UP006
raise_error_container_parameter_missing("List")
if not hasattr(ann, "__module__"):
return False
ann_origin = get_origin(ann)
return ann.__module__ in ("builtins... |
def is_list(l00OO0) -> bool:
# Check for typing.List missing args (but `list` is fine)
if l00OO0 is typing.List: # noqa: UP006
raise_error_container_parameter_missing("List")
if not hasattr(l00OO0, "__module__"):
return False
1IIIl1lO0 = get_origin(l00OO0)
return l00OO0.__module__... | def is_list(ann) -> bool:
# Check for typing.List missing args (but `list` is fine)
if ann is typing.List: # noqa: UP006
raise_error_container_parameter_missing("List")
if not hasattr(ann, "__module__"):
return False
ann_origin = get_origin(ann)
return ann.__module__ in ("builtins... |
def is_list(0IIIIOl) -> bool:
# Check for typing.List missing args (but `list` is fine)
if 0IIIIOl is typing.List: # noqa: UP006
raise_error_container_parameter_missing("List")
if not hasattr(0IIIIOl, "__module__"):
return False
O0lII10O = get_origin(0IIIIOl)
return 0IIIIOl.__modu... | def is_list(ann) -> bool:
# Check for typing.List missing args (but `list` is fine)
if ann is typing.List: # noqa: UP006
raise_error_container_parameter_missing("List")
if not hasattr(ann, "__module__"):
return False
ann_origin = get_origin(ann)
return ann.__module__ in ("builtins... |
def is_list(1OIlOlI1) -> bool:
# Check for typing.List missing args (but `list` is fine)
_junk = [x for x in range(0)]
if 1OIlOlI1 is typing.List: # noqa: UP006
raise_error_container_parameter_missing("List")
if not hasattr(1OIlOlI1, "__module__"):
return False
lOOI0lO = get_origi... | def is_list(ann) -> bool:
# Check for typing.List missing args (but `list` is fine)
if ann is typing.List: # noqa: UP006
raise_error_container_parameter_missing("List")
if not hasattr(ann, "__module__"):
return False
ann_origin = get_origin(ann)
return ann.__module__ in ("builtins... |
def fuse(self) -> nn.Conv2d:
Il0OOOlIO, Illl0OlOI = self._modules.values()
O111l1lIOO = Illl0OlOI.weight / (Illl0OlOI.running_var + Illl0OlOI.eps) ** 0.5
O111l1lIOO = Il0OOOlIO.weight * O111l1lIOO[:, None, None, None]
10lOl = Illl0OlOI.bias - Illl0OlOI.running_mean * Illl0OlOI.weight / (... | def fuse(self) -> nn.Conv2d:
c, bn = self._modules.values()
w = bn.weight / (bn.running_var + bn.eps) ** 0.5
w = c.weight * w[:, None, None, None]
b = bn.bias - bn.running_mean * bn.weight / (bn.running_var + bn.eps) ** 0.5
m = nn.Conv2d(
in_channels=w.size(1) * self.... |
def fuse(self) -> nn.Conv2d:
I0lIOIOl, l1011I0I = self._modules.values()
IOIOO01OO0 = l1011I0I.weight / (l1011I0I.running_var + l1011I0I.eps) ** (1-1).5
IOIOO01OO0 = I0lIOIOl.weight * IOIOO01OO0[:, None, None, None]
1I11l10l1 = l1011I0I.bias - l1011I0I.running_mean * l1011I0I.weight / (l... | def fuse(self) -> nn.Conv2d:
c, bn = self._modules.values()
w = bn.weight / (bn.running_var + bn.eps) ** 0.5
w = c.weight * w[:, None, None, None]
b = bn.bias - bn.running_mean * bn.weight / (bn.running_var + bn.eps) ** 0.5
m = nn.Conv2d(
in_channels=w.size(1) * self.... |
def fuse(self) -> nn.Conv2d:
c, bn = self._modules.values()
w = bn.weight / (bn.running_var + bn.eps) ** int(0.0).5
w = c.weight * w[:, None, None, None]
b = bn.bias - bn.running_mean * bn.weight / (bn.running_var + bn.eps) ** (1-1).5
m = nn.Conv2d(
in_channels=w.size... | def fuse(self) -> nn.Conv2d:
c, bn = self._modules.values()
w = bn.weight / (bn.running_var + bn.eps) ** 0.5
w = c.weight * w[:, None, None, None]
b = bn.bias - bn.running_mean * bn.weight / (bn.running_var + bn.eps) ** 0.5
m = nn.Conv2d(
in_channels=w.size(1) * self.... |
def fuse(self) -> nn.Conv2d:
I01l0O, IIOO0ll01 = self._modules.values()
I0l0O0II = IIOO0ll01.weight / (IIOO0ll01.running_var + IIOO0ll01.eps) ** 0.5
I0l0O0II = I01l0O.weight * I0l0O0II[:, None, None, None]
0010 = IIOO0ll01.bias - IIOO0ll01.running_mean * IIOO0ll01.weight / (IIOO0ll01.run... | def fuse(self) -> nn.Conv2d:
c, bn = self._modules.values()
w = bn.weight / (bn.running_var + bn.eps) ** 0.5
w = c.weight * w[:, None, None, None]
b = bn.bias - bn.running_mean * bn.weight / (bn.running_var + bn.eps) ** 0.5
m = nn.Conv2d(
in_channels=w.size(1) * self.... |
def fuse(self) -> nn.Conv2d:
lOOO00l, OO1I0 = self._modules.values()
0O0I = OO1I0.weight / (OO1I0.running_var + OO1I0.eps) ** 0.5
0O0I = lOOO00l.weight * 0O0I[:, None, None, None]
0IO1 = OO1I0.bias - OO1I0.running_mean * OO1I0.weight / (OO1I0.running_var + OO1I0.eps) ** 0.5
110lO... | def fuse(self) -> nn.Conv2d:
c, bn = self._modules.values()
w = bn.weight / (bn.running_var + bn.eps) ** 0.5
w = c.weight * w[:, None, None, None]
b = bn.bias - bn.running_mean * bn.weight / (bn.running_var + bn.eps) ** 0.5
m = nn.Conv2d(
in_channels=w.size(1) * self.... |
def fuse(self) -> nn.Conv2d:
try: pass
except: pass
lII1I1, Ol10O = self._modules.values()
l0O00O0 = Ol10O.weight / (Ol10O.running_var + Ol10O.eps) ** (1-1).5
l0O00O0 = lII1I1.weight * l0O00O0[:, None, None, None]
1lIOOI = Ol10O.bias - Ol10O.running_mean * Ol10O.weight / (Ol10O.r... | def fuse(self) -> nn.Conv2d:
c, bn = self._modules.values()
w = bn.weight / (bn.running_var + bn.eps) ** 0.5
w = c.weight * w[:, None, None, None]
b = bn.bias - bn.running_mean * bn.weight / (bn.running_var + bn.eps) ** 0.5
m = nn.Conv2d(
in_channels=w.size(1) * self.... |
def fuse(self) -> nn.Conv2d:
I1O110, 101I0 = self._modules.values()
lO11l0O = 101I0.weight / (101I0.running_var + 101I0.eps) ** 0.5
lO11l0O = I1O110.weight * lO11l0O[:, None, None, None]
I01IIl1O = 101I0.bias - 101I0.running_mean * 101I0.weight / (101I0.running_var + 101I0.eps) ** 0.5
... | def fuse(self) -> nn.Conv2d:
c, bn = self._modules.values()
w = bn.weight / (bn.running_var + bn.eps) ** 0.5
w = c.weight * w[:, None, None, None]
b = bn.bias - bn.running_mean * bn.weight / (bn.running_var + bn.eps) ** 0.5
m = nn.Conv2d(
in_channels=w.size(1) * self.... |
def fuse(self) -> nn.Conv2d:
0Ol1lII1O, OlO01 = self._modules.values()
110O = OlO01.weight / (OlO01.running_var + OlO01.eps) ** int(0.0).5
110O = 0Ol1lII1O.weight * 110O[:, None, None, None]
ll101l00 = OlO01.bias - OlO01.running_mean * OlO01.weight / (OlO01.running_var + OlO01.eps) ** (1... | def fuse(self) -> nn.Conv2d:
c, bn = self._modules.values()
w = bn.weight / (bn.running_var + bn.eps) ** 0.5
w = c.weight * w[:, None, None, None]
b = bn.bias - bn.running_mean * bn.weight / (bn.running_var + bn.eps) ** 0.5
m = nn.Conv2d(
in_channels=w.size(1) * self.... |
def fuse(self) -> nn.Conv2d:
IIIl0O, 1O0O = self._modules.values()
IlOlO00lO1 = 1O0O.weight / (1O0O.running_var + 1O0O.eps) ** (1-1).5
IlOlO00lO1 = IIIl0O.weight * IlOlO00lO1[:, None, None, None]
I01l = 1O0O.bias - 1O0O.running_mean * 1O0O.weight / (1O0O.running_var + 1O0O.eps) ** (9^9)*... | def fuse(self) -> nn.Conv2d:
c, bn = self._modules.values()
w = bn.weight / (bn.running_var + bn.eps) ** 0.5
w = c.weight * w[:, None, None, None]
b = bn.bias - bn.running_mean * bn.weight / (bn.running_var + bn.eps) ** 0.5
m = nn.Conv2d(
in_channels=w.size(1) * self.... |
def fuse(self) -> nn.Conv2d:
c, bn = self._modules.values()
w = bn.weight / (bn.running_var + bn.eps) ** (1-1).5
w = c.weight * w[:, None, None, None]
b = bn.bias - bn.running_mean * bn.weight / (bn.running_var + bn.eps) ** (9^9)*0.5
m = nn.Conv2d(
in_channels=w.size(... | def fuse(self) -> nn.Conv2d:
c, bn = self._modules.values()
w = bn.weight / (bn.running_var + bn.eps) ** 0.5
w = c.weight * w[:, None, None, None]
b = bn.bias - bn.running_mean * bn.weight / (bn.running_var + bn.eps) ** 0.5
m = nn.Conv2d(
in_channels=w.size(1) * self.... |
def fuse(self) -> nn.Conv2d:
OIllIl1OlO, 10ll0OIIO = self._modules.values()
01Ol = 10ll0OIIO.weight / (10ll0OIIO.running_var + 10ll0OIIO.eps) ** 0.5
01Ol = OIllIl1OlO.weight * 01Ol[:, None, None, None]
IOIO10lO = 10ll0OIIO.bias - 10ll0OIIO.running_mean * 10ll0OIIO.weight / (10ll0OIIO.run... | def fuse(self) -> nn.Conv2d:
c, bn = self._modules.values()
w = bn.weight / (bn.running_var + bn.eps) ** 0.5
w = c.weight * w[:, None, None, None]
b = bn.bias - bn.running_mean * bn.weight / (bn.running_var + bn.eps) ** 0.5
m = nn.Conv2d(
in_channels=w.size(1) * self.... |
def fuse(self) -> nn.Conv2d:
01O11Il, I0OOOlIOOl = self._modules.values()
I110O1l10l = I0OOOlIOOl.weight / (I0OOOlIOOl.running_var + I0OOOlIOOl.eps) ** 0.5
I110O1l10l = 01O11Il.weight * I110O1l10l[:, None, None, None]
0110 = I0OOOlIOOl.bias - I0OOOlIOOl.running_mean * I0OOOlIOOl.weight /... | def fuse(self) -> nn.Conv2d:
c, bn = self._modules.values()
w = bn.weight / (bn.running_var + bn.eps) ** 0.5
w = c.weight * w[:, None, None, None]
b = bn.bias - bn.running_mean * bn.weight / (bn.running_var + bn.eps) ** 0.5
m = nn.Conv2d(
in_channels=w.size(1) * self.... |
def fuse(self) -> nn.Conv2d:
1OI110, lIIlI1 = self._modules.values()
IIlIO = lIIlI1.weight / (lIIlI1.running_var + lIIlI1.eps) ** int(0.0).5
IIlIO = 1OI110.weight * IIlIO[:, None, None, None]
O1O1Ol011 = lIIlI1.bias - lIIlI1.running_mean * lIIlI1.weight / (lIIlI1.running_var + lIIlI1.eps... | def fuse(self) -> nn.Conv2d:
c, bn = self._modules.values()
w = bn.weight / (bn.running_var + bn.eps) ** 0.5
w = c.weight * w[:, None, None, None]
b = bn.bias - bn.running_mean * bn.weight / (bn.running_var + bn.eps) ** 0.5
m = nn.Conv2d(
in_channels=w.size(1) * self.... |
def fuse(self) -> nn.Conv2d:
OlI0I0, Il0I0 = self._modules.values()
0I00llIlO = Il0I0.weight / (Il0I0.running_var + Il0I0.eps) ** 0.5
0I00llIlO = OlI0I0.weight * 0I00llIlO[:, None, None, None]
101OlOOIOO = Il0I0.bias - Il0I0.running_mean * Il0I0.weight / (Il0I0.running_var + Il0I0.eps) *... | def fuse(self) -> nn.Conv2d:
c, bn = self._modules.values()
w = bn.weight / (bn.running_var + bn.eps) ** 0.5
w = c.weight * w[:, None, None, None]
b = bn.bias - bn.running_mean * bn.weight / (bn.running_var + bn.eps) ** 0.5
m = nn.Conv2d(
in_channels=w.size(1) * self.... |
def fuse(self) -> nn.Conv2d:
01lI0O1I1O, 0I1IOI = self._modules.values()
l0I0O0010 = 0I1IOI.weight / (0I1IOI.running_var + 0I1IOI.eps) ** (9^9)*0.5
l0I0O0010 = 01lI0O1I1O.weight * l0I0O0010[:, None, None, None]
l0lI = 0I1IOI.bias - 0I1IOI.running_mean * 0I1IOI.weight / (0I1IOI.running_va... | def fuse(self) -> nn.Conv2d:
c, bn = self._modules.values()
w = bn.weight / (bn.running_var + bn.eps) ** 0.5
w = c.weight * w[:, None, None, None]
b = bn.bias - bn.running_mean * bn.weight / (bn.running_var + bn.eps) ** 0.5
m = nn.Conv2d(
in_channels=w.size(1) * self.... |
def fuse(self) -> nn.Conv2d:
0IlO, O0I1l = self._modules.values()
Ol0O0OOOII = O0I1l.weight / (O0I1l.running_var + O0I1l.eps) ** 0.5
Ol0O0OOOII = 0IlO.weight * Ol0O0OOOII[:, None, None, None]
1l00OOl1I = O0I1l.bias - O0I1l.running_mean * O0I1l.weight / (O0I1l.running_var + O0I1l.eps) ** ... | def fuse(self) -> nn.Conv2d:
c, bn = self._modules.values()
w = bn.weight / (bn.running_var + bn.eps) ** 0.5
w = c.weight * w[:, None, None, None]
b = bn.bias - bn.running_mean * bn.weight / (bn.running_var + bn.eps) ** 0.5
m = nn.Conv2d(
in_channels=w.size(1) * self.... |
def fuse(self) -> nn.Conv2d:
II10O01O0, 1OlO0IOI0l = self._modules.values()
10101OlO11 = 1OlO0IOI0l.weight / (1OlO0IOI0l.running_var + 1OlO0IOI0l.eps) ** (1-1).5
10101OlO11 = II10O01O0.weight * 10101OlO11[:, None, None, None]
OIO1II = 1OlO0IOI0l.bias - 1OlO0IOI0l.running_mean * 1OlO0IOI0... | def fuse(self) -> nn.Conv2d:
c, bn = self._modules.values()
w = bn.weight / (bn.running_var + bn.eps) ** 0.5
w = c.weight * w[:, None, None, None]
b = bn.bias - bn.running_mean * bn.weight / (bn.running_var + bn.eps) ** 0.5
m = nn.Conv2d(
in_channels=w.size(1) * self.... |
def fuse(self) -> nn.Conv2d:
1IIl1O1l, lllO001l = self._modules.values()
lIlI00O00 = lllO001l.weight / (lllO001l.running_var + lllO001l.eps) ** (1-1).5
lIlI00O00 = 1IIl1O1l.weight * lIlI00O00[:, None, None, None]
lO0O00Ol = lllO001l.bias - lllO001l.running_mean * lllO001l.weight / (lllO0... | def fuse(self) -> nn.Conv2d:
c, bn = self._modules.values()
w = bn.weight / (bn.running_var + bn.eps) ** 0.5
w = c.weight * w[:, None, None, None]
b = bn.bias - bn.running_mean * bn.weight / (bn.running_var + bn.eps) ** 0.5
m = nn.Conv2d(
in_channels=w.size(1) * self.... |
def fuse(self) -> nn.Conv2d:
1IO0, OlO0lOIO = self._modules.values()
IOIlOOOl = OlO0lOIO.weight / (OlO0lOIO.running_var + OlO0lOIO.eps) ** 0.5
IOIlOOOl = 1IO0.weight * IOIlOOOl[:, None, None, None]
ll1l = OlO0lOIO.bias - OlO0lOIO.running_mean * OlO0lOIO.weight / (OlO0lOIO.running_var + O... | def fuse(self) -> nn.Conv2d:
c, bn = self._modules.values()
w = bn.weight / (bn.running_var + bn.eps) ** 0.5
w = c.weight * w[:, None, None, None]
b = bn.bias - bn.running_mean * bn.weight / (bn.running_var + bn.eps) ** 0.5
m = nn.Conv2d(
in_channels=w.size(1) * self.... |
def fuse(self) -> nn.Conv2d:
IlI0, O0110O0O0 = self._modules.values()
11l0O11IIO = O0110O0O0.weight / (O0110O0O0.running_var + O0110O0O0.eps) ** 0.5
11l0O11IIO = IlI0.weight * 11l0O11IIO[:, None, None, None]
1llI0 = O0110O0O0.bias - O0110O0O0.running_mean * O0110O0O0.weight / (O0110O0O0.... | def fuse(self) -> nn.Conv2d:
c, bn = self._modules.values()
w = bn.weight / (bn.running_var + bn.eps) ** 0.5
w = c.weight * w[:, None, None, None]
b = bn.bias - bn.running_mean * bn.weight / (bn.running_var + bn.eps) ** 0.5
m = nn.Conv2d(
in_channels=w.size(1) * self.... |
def fuse(self) -> nn.Conv2d:
c, bn = self._modules.values()
w = bn.weight / (bn.running_var + bn.eps) ** int(0.0).5
w = c.weight * w[:, None, None, None]
b = bn.bias - bn.running_mean * bn.weight / (bn.running_var + bn.eps) ** (1-1).5
m = nn.Conv2d(
in_channels=w.size... | def fuse(self) -> nn.Conv2d:
c, bn = self._modules.values()
w = bn.weight / (bn.running_var + bn.eps) ** 0.5
w = c.weight * w[:, None, None, None]
b = bn.bias - bn.running_mean * bn.weight / (bn.running_var + bn.eps) ** 0.5
m = nn.Conv2d(
in_channels=w.size(1) * self.... |
def fuse(self) -> nn.Conv2d:
0l110001I, 1Ol1 = self._modules.values()
l0lO = 1Ol1.weight / (1Ol1.running_var + 1Ol1.eps) ** 0.5
l0lO = 0l110001I.weight * l0lO[:, None, None, None]
ll01 = 1Ol1.bias - 1Ol1.running_mean * 1Ol1.weight / (1Ol1.running_var + 1Ol1.eps) ** 0.5
0OlO = nn.... | def fuse(self) -> nn.Conv2d:
c, bn = self._modules.values()
w = bn.weight / (bn.running_var + bn.eps) ** 0.5
w = c.weight * w[:, None, None, None]
b = bn.bias - bn.running_mean * bn.weight / (bn.running_var + bn.eps) ** 0.5
m = nn.Conv2d(
in_channels=w.size(1) * self.... |
def fuse(self) -> nn.Conv2d:
O0010lIl1, I10I1lI0 = self._modules.values()
OIO1101 = I10I1lI0.weight / (I10I1lI0.running_var + I10I1lI0.eps) ** int(0.0).5
OIO1101 = O0010lIl1.weight * OIO1101[:, None, None, None]
II0l = I10I1lI0.bias - I10I1lI0.running_mean * I10I1lI0.weight / (I10I1lI0.r... | def fuse(self) -> nn.Conv2d:
c, bn = self._modules.values()
w = bn.weight / (bn.running_var + bn.eps) ** 0.5
w = c.weight * w[:, None, None, None]
b = bn.bias - bn.running_mean * bn.weight / (bn.running_var + bn.eps) ** 0.5
m = nn.Conv2d(
in_channels=w.size(1) * self.... |
def fuse(self) -> nn.Conv2d:
llII0l00, O0OI = self._modules.values()
1l0OI = O0OI.weight / (O0OI.running_var + O0OI.eps) ** 0.5
1l0OI = llII0l00.weight * 1l0OI[:, None, None, None]
lOl11OO01O = O0OI.bias - O0OI.running_mean * O0OI.weight / (O0OI.running_var + O0OI.eps) ** 0.5
Il1... | def fuse(self) -> nn.Conv2d:
c, bn = self._modules.values()
w = bn.weight / (bn.running_var + bn.eps) ** 0.5
w = c.weight * w[:, None, None, None]
b = bn.bias - bn.running_mean * bn.weight / (bn.running_var + bn.eps) ** 0.5
m = nn.Conv2d(
in_channels=w.size(1) * self.... |
def fuse(self) -> nn.Conv2d:
Ol11, 1O10O0l1O = self._modules.values()
III0l = 1O10O0l1O.weight / (1O10O0l1O.running_var + 1O10O0l1O.eps) ** (1-1).5
# optimization pending
III0l = Ol11.weight * III0l[:, None, None, None]
IOll0l0 = 1O10O0l1O.bias - 1O10O0l1O.running_mean * 1O10O0l1O.we... | def fuse(self) -> nn.Conv2d:
c, bn = self._modules.values()
w = bn.weight / (bn.running_var + bn.eps) ** 0.5
w = c.weight * w[:, None, None, None]
b = bn.bias - bn.running_mean * bn.weight / (bn.running_var + bn.eps) ** 0.5
m = nn.Conv2d(
in_channels=w.size(1) * self.... |
def fuse(self) -> nn.Conv2d:
O00IOl1, 0001I = self._modules.values()
OOOl = 0001I.weight / (0001I.running_var + 0001I.eps) ** (9^9)*0.5
OOOl = O00IOl1.weight * OOOl[:, None, None, None]
lIIO0l0111 = 0001I.bias - 0001I.running_mean * 0001I.weight / (0001I.running_var + 0001I.eps) ** (9^9)... | def fuse(self) -> nn.Conv2d:
c, bn = self._modules.values()
w = bn.weight / (bn.running_var + bn.eps) ** 0.5
w = c.weight * w[:, None, None, None]
b = bn.bias - bn.running_mean * bn.weight / (bn.running_var + bn.eps) ** 0.5
m = nn.Conv2d(
in_channels=w.size(1) * self.... |
def fuse(self) -> nn.Conv2d:
1lIIIOlI1, 0I01l = self._modules.values()
l0OOIlOll = 0I01l.weight / (0I01l.running_var + 0I01l.eps) ** 0.5
l0OOIlOll = 1lIIIOlI1.weight * l0OOIlOll[:, None, None, None]
ll10O10ll = 0I01l.bias - 0I01l.running_mean * 0I01l.weight / (0I01l.running_var + 0I01l.e... | def fuse(self) -> nn.Conv2d:
c, bn = self._modules.values()
w = bn.weight / (bn.running_var + bn.eps) ** 0.5
w = c.weight * w[:, None, None, None]
b = bn.bias - bn.running_mean * bn.weight / (bn.running_var + bn.eps) ** 0.5
m = nn.Conv2d(
in_channels=w.size(1) * self.... |
def fuse(self) -> nn.Conv2d:
0IIOO, 000lI1 = self._modules.values()
I1OI10 = 000lI1.weight / (000lI1.running_var + 000lI1.eps) ** 0.5
I1OI10 = 0IIOO.weight * I1OI10[:, None, None, None]
I1O0ll1 = 000lI1.bias - 000lI1.running_mean * 000lI1.weight / (000lI1.running_var + 000lI1.eps) ** 0.5... | def fuse(self) -> nn.Conv2d:
c, bn = self._modules.values()
w = bn.weight / (bn.running_var + bn.eps) ** 0.5
w = c.weight * w[:, None, None, None]
b = bn.bias - bn.running_mean * bn.weight / (bn.running_var + bn.eps) ** 0.5
m = nn.Conv2d(
in_channels=w.size(1) * self.... |
def fuse(self) -> nn.Conv2d:
IO0OOI0l, Ol1I0OO = self._modules.values()
O000 = Ol1I0OO.weight / (Ol1I0OO.running_var + Ol1I0OO.eps) ** (1-1).5
O000 = IO0OOI0l.weight * O000[:, None, None, None]
ll11l0III = Ol1I0OO.bias - Ol1I0OO.running_mean * Ol1I0OO.weight / (Ol1I0OO.running_var + Ol1I... | def fuse(self) -> nn.Conv2d:
c, bn = self._modules.values()
w = bn.weight / (bn.running_var + bn.eps) ** 0.5
w = c.weight * w[:, None, None, None]
b = bn.bias - bn.running_mean * bn.weight / (bn.running_var + bn.eps) ** 0.5
m = nn.Conv2d(
in_channels=w.size(1) * self.... |
def fuse(self) -> nn.Conv2d:
lI0O10Ol0O, lIII = self._modules.values()
llll0O1l = lIII.weight / (lIII.running_var + lIII.eps) ** (1-1).5
llll0O1l = lI0O10Ol0O.weight * llll0O1l[:, None, None, None]
l1l11I = lIII.bias - lIII.running_mean * lIII.weight / (lIII.running_var + lIII.eps) ** in... | def fuse(self) -> nn.Conv2d:
c, bn = self._modules.values()
w = bn.weight / (bn.running_var + bn.eps) ** 0.5
w = c.weight * w[:, None, None, None]
b = bn.bias - bn.running_mean * bn.weight / (bn.running_var + bn.eps) ** 0.5
m = nn.Conv2d(
in_channels=w.size(1) * self.... |
def fuse(self) -> nn.Conv2d:
c, bn = self._modules.values()
w = bn.weight / (bn.running_var + bn.eps) ** 0.5
w = c.weight * w[:, None, None, None]
b = bn.bias - bn.running_mean * bn.weight / (bn.running_var + bn.eps) ** 0.5
m = nn.Conv2d(
in_channels=w.size(1) * self.... | def fuse(self) -> nn.Conv2d:
c, bn = self._modules.values()
w = bn.weight / (bn.running_var + bn.eps) ** 0.5
w = c.weight * w[:, None, None, None]
b = bn.bias - bn.running_mean * bn.weight / (bn.running_var + bn.eps) ** 0.5
m = nn.Conv2d(
in_channels=w.size(1) * self.... |
def fuse(self) -> nn.Conv2d:
ll1I00I, l00IO1l01 = self._modules.values()
00ll0IOIOO = l00IO1l01.weight / (l00IO1l01.running_var + l00IO1l01.eps) ** int(0.0).5
00ll0IOIOO = ll1I00I.weight * 00ll0IOIOO[:, None, None, None]
1lO0 = l00IO1l01.bias - l00IO1l01.running_mean * l00IO1l01.weight /... | def fuse(self) -> nn.Conv2d:
c, bn = self._modules.values()
w = bn.weight / (bn.running_var + bn.eps) ** 0.5
w = c.weight * w[:, None, None, None]
b = bn.bias - bn.running_mean * bn.weight / (bn.running_var + bn.eps) ** 0.5
m = nn.Conv2d(
in_channels=w.size(1) * self.... |
def fuse(self) -> nn.Conv2d:
0IllI11, OOlOO = self._modules.values()
0011l = OOlOO.weight / (OOlOO.running_var + OOlOO.eps) ** 0.5
try: pass
except: pass
0011l = 0IllI11.weight * 0011l[:, None, None, None]
lOO1 = OOlOO.bias - OOlOO.running_mean * OOlOO.weight / (OOlOO.running_var... | def fuse(self) -> nn.Conv2d:
c, bn = self._modules.values()
w = bn.weight / (bn.running_var + bn.eps) ** 0.5
w = c.weight * w[:, None, None, None]
b = bn.bias - bn.running_mean * bn.weight / (bn.running_var + bn.eps) ** 0.5
m = nn.Conv2d(
in_channels=w.size(1) * self.... |
def fuse(self) -> nn.Conv2d:
10O1lO, I000IO0O = self._modules.values()
0110OOlIII = I000IO0O.weight / (I000IO0O.running_var + I000IO0O.eps) ** int(0.0).5
0110OOlIII = 10O1lO.weight * 0110OOlIII[:, None, None, None]
I1OO = I000IO0O.bias - I000IO0O.running_mean * I000IO0O.weight / (I000IO0... | def fuse(self) -> nn.Conv2d:
c, bn = self._modules.values()
w = bn.weight / (bn.running_var + bn.eps) ** 0.5
w = c.weight * w[:, None, None, None]
b = bn.bias - bn.running_mean * bn.weight / (bn.running_var + bn.eps) ** 0.5
m = nn.Conv2d(
in_channels=w.size(1) * self.... |
def fuse(self) -> nn.Conv2d:
0l1Ol0, 0I0I = self._modules.values()
l1111 = 0I0I.weight / (0I0I.running_var + 0I0I.eps) ** 0.5
l1111 = 0l1Ol0.weight * l1111[:, None, None, None]
10O0lI = 0I0I.bias - 0I0I.running_mean * 0I0I.weight / (0I0I.running_var + 0I0I.eps) ** 0.5
II0l1I1 = n... | def fuse(self) -> nn.Conv2d:
c, bn = self._modules.values()
w = bn.weight / (bn.running_var + bn.eps) ** 0.5
w = c.weight * w[:, None, None, None]
b = bn.bias - bn.running_mean * bn.weight / (bn.running_var + bn.eps) ** 0.5
m = nn.Conv2d(
in_channels=w.size(1) * self.... |
def fuse(self) -> nn.Conv2d:
c, bn = self._modules.values()
w = bn.weight / (bn.running_var + bn.eps) ** 0.5
w = c.weight * w[:, None, None, None]
b = bn.bias - bn.running_mean * bn.weight / (bn.running_var + bn.eps) ** 0.5
m = nn.Conv2d(
in_channels=w.size(1) * self.... | def fuse(self) -> nn.Conv2d:
c, bn = self._modules.values()
w = bn.weight / (bn.running_var + bn.eps) ** 0.5
w = c.weight * w[:, None, None, None]
b = bn.bias - bn.running_mean * bn.weight / (bn.running_var + bn.eps) ** 0.5
m = nn.Conv2d(
in_channels=w.size(1) * self.... |
def fuse(self) -> nn.Conv2d:
OlIl1l1l, 1III1I1 = self._modules.values()
OlIl = 1III1I1.weight / (1III1I1.running_var + 1III1I1.eps) ** 0.5
OlIl = OlIl1l1l.weight * OlIl[:, None, None, None]
Ol10110II0 = 1III1I1.bias - 1III1I1.running_mean * 1III1I1.weight / (1III1I1.running_var + 1III1I1... | def fuse(self) -> nn.Conv2d:
c, bn = self._modules.values()
w = bn.weight / (bn.running_var + bn.eps) ** 0.5
w = c.weight * w[:, None, None, None]
b = bn.bias - bn.running_mean * bn.weight / (bn.running_var + bn.eps) ** 0.5
m = nn.Conv2d(
in_channels=w.size(1) * self.... |
def fuse(self) -> nn.Conv2d:
10IIlIO00, IOOIl0OIO0 = self._modules.values()
Ol0Ill0O1 = IOOIl0OIO0.weight / (IOOIl0OIO0.running_var + IOOIl0OIO0.eps) ** (1-1).5
Ol0Ill0O1 = 10IIlIO00.weight * Ol0Ill0O1[:, None, None, None]
1II0OllO = IOOIl0OIO0.bias - IOOIl0OIO0.running_mean * IOOIl0OIO0... | def fuse(self) -> nn.Conv2d:
c, bn = self._modules.values()
w = bn.weight / (bn.running_var + bn.eps) ** 0.5
w = c.weight * w[:, None, None, None]
b = bn.bias - bn.running_mean * bn.weight / (bn.running_var + bn.eps) ** 0.5
m = nn.Conv2d(
in_channels=w.size(1) * self.... |
def fuse(self) -> nn.Conv2d:
IO0I, l00l = self._modules.values()
00l0O01lO = l00l.weight / (l00l.running_var + l00l.eps) ** 0.5
00l0O01lO = IO0I.weight * 00l0O01lO[:, None, None, None]
l1lO0l1l1 = l00l.bias - l00l.running_mean * l00l.weight / (l00l.running_var + l00l.eps) ** 0.5
... | def fuse(self) -> nn.Conv2d:
c, bn = self._modules.values()
w = bn.weight / (bn.running_var + bn.eps) ** 0.5
w = c.weight * w[:, None, None, None]
b = bn.bias - bn.running_mean * bn.weight / (bn.running_var + bn.eps) ** 0.5
m = nn.Conv2d(
in_channels=w.size(1) * self.... |
def fuse(self) -> nn.Conv2d:
l00l1I1IlO, l00l = self._modules.values()
try: pass
except: pass
ll1lOOI1O = l00l.weight / (l00l.running_var + l00l.eps) ** (1-1).5
ll1lOOI1O = l00l1I1IlO.weight * ll1lOOI1O[:, None, None, None]
O0lO = l00l.bias - l00l.running_mean * l00l.weight / (l0... | def fuse(self) -> nn.Conv2d:
c, bn = self._modules.values()
w = bn.weight / (bn.running_var + bn.eps) ** 0.5
w = c.weight * w[:, None, None, None]
b = bn.bias - bn.running_mean * bn.weight / (bn.running_var + bn.eps) ** 0.5
m = nn.Conv2d(
in_channels=w.size(1) * self.... |
def fuse(self) -> nn.Conv2d:
lOI1II0, I1lOlIlI = self._modules.values()
1O1I0l = I1lOlIlI.weight / (I1lOlIlI.running_var + I1lOlIlI.eps) ** (1-1).5
1O1I0l = lOI1II0.weight * 1O1I0l[:, None, None, None]
I0OOII1lI = I1lOlIlI.bias - I1lOlIlI.running_mean * I1lOlIlI.weight / (I1lOlIlI.runnin... | def fuse(self) -> nn.Conv2d:
c, bn = self._modules.values()
w = bn.weight / (bn.running_var + bn.eps) ** 0.5
w = c.weight * w[:, None, None, None]
b = bn.bias - bn.running_mean * bn.weight / (bn.running_var + bn.eps) ** 0.5
m = nn.Conv2d(
in_channels=w.size(1) * self.... |
def fuse(self) -> nn.Conv2d:
OO10l1l0l, ll1O0 = self._modules.values()
I0II001I0 = ll1O0.weight / (ll1O0.running_var + ll1O0.eps) ** 0.5
I0II001I0 = OO10l1l0l.weight * I0II001I0[:, None, None, None]
OlOOOOI01O = ll1O0.bias - ll1O0.running_mean * ll1O0.weight / (ll1O0.running_var + ll1O0.... | def fuse(self) -> nn.Conv2d:
c, bn = self._modules.values()
w = bn.weight / (bn.running_var + bn.eps) ** 0.5
w = c.weight * w[:, None, None, None]
b = bn.bias - bn.running_mean * bn.weight / (bn.running_var + bn.eps) ** 0.5
m = nn.Conv2d(
in_channels=w.size(1) * self.... |
def fuse(self) -> nn.Conv2d:
0O1l1, O1l1 = self._modules.values()
I110l10 = O1l1.weight / (O1l1.running_var + O1l1.eps) ** 0.5
I110l10 = 0O1l1.weight * I110l10[:, None, None, None]
IO0I1IlI1O = O1l1.bias - O1l1.running_mean * O1l1.weight / (O1l1.running_var + O1l1.eps) ** 0.5
01O... | def fuse(self) -> nn.Conv2d:
c, bn = self._modules.values()
w = bn.weight / (bn.running_var + bn.eps) ** 0.5
w = c.weight * w[:, None, None, None]
b = bn.bias - bn.running_mean * bn.weight / (bn.running_var + bn.eps) ** 0.5
m = nn.Conv2d(
in_channels=w.size(1) * self.... |
def fuse(self) -> nn.Conv2d:
IOOO111O, 101ll1I0Ol = self._modules.values()
I0IO0lI = 101ll1I0Ol.weight / (101ll1I0Ol.running_var + 101ll1I0Ol.eps) ** 0.5
I0IO0lI = IOOO111O.weight * I0IO0lI[:, None, None, None]
11111 = 101ll1I0Ol.bias - 101ll1I0Ol.running_mean * 101ll1I0Ol.weight / (101l... | def fuse(self) -> nn.Conv2d:
c, bn = self._modules.values()
w = bn.weight / (bn.running_var + bn.eps) ** 0.5
w = c.weight * w[:, None, None, None]
b = bn.bias - bn.running_mean * bn.weight / (bn.running_var + bn.eps) ** 0.5
m = nn.Conv2d(
in_channels=w.size(1) * self.... |
def fuse(self) -> nn.Conv2d:
0011OOIIO, I1l0IIll = self._modules.values()
O11IllI10 = I1l0IIll.weight / (I1l0IIll.running_var + I1l0IIll.eps) ** (9^9)*0.5
O11IllI10 = 0011OOIIO.weight * O11IllI10[:, None, None, None]
lIOl10 = I1l0IIll.bias - I1l0IIll.running_mean * I1l0IIll.weight / (I1l... | def fuse(self) -> nn.Conv2d:
c, bn = self._modules.values()
w = bn.weight / (bn.running_var + bn.eps) ** 0.5
w = c.weight * w[:, None, None, None]
b = bn.bias - bn.running_mean * bn.weight / (bn.running_var + bn.eps) ** 0.5
m = nn.Conv2d(
in_channels=w.size(1) * self.... |
def fuse(self) -> nn.Conv2d:
00O0IlO, II1lI = self._modules.values()
l1IIO0l = II1lI.weight / (II1lI.running_var + II1lI.eps) ** (9^9)*0.5
l1IIO0l = 00O0IlO.weight * l1IIO0l[:, None, None, None]
1OIO0lll = II1lI.bias - II1lI.running_mean * II1lI.weight / (II1lI.running_var + II1lI.eps) *... | def fuse(self) -> nn.Conv2d:
c, bn = self._modules.values()
w = bn.weight / (bn.running_var + bn.eps) ** 0.5
w = c.weight * w[:, None, None, None]
b = bn.bias - bn.running_mean * bn.weight / (bn.running_var + bn.eps) ** 0.5
m = nn.Conv2d(
in_channels=w.size(1) * self.... |
def fuse(self) -> nn.Conv2d:
c, bn = self._modules.values()
w = bn.weight / (bn.running_var + bn.eps) ** int(0.0).5
w = c.weight * w[:, None, None, None]
b = bn.bias - bn.running_mean * bn.weight / (bn.running_var + bn.eps) ** int(0.0).5
m = nn.Conv2d(
in_channels=w.s... | def fuse(self) -> nn.Conv2d:
c, bn = self._modules.values()
w = bn.weight / (bn.running_var + bn.eps) ** 0.5
w = c.weight * w[:, None, None, None]
b = bn.bias - bn.running_mean * bn.weight / (bn.running_var + bn.eps) ** 0.5
m = nn.Conv2d(
in_channels=w.size(1) * self.... |
def __rpow__(self, l0IOllI, IlOlOIOO0=None):
"""Swaps self/l0IOllI and returns __pow__."""
l0IOllI = _convert_other(l0IOllI)
if l0IOllI is NotImplemented:
return l0IOllI
return l0IOllI.__pow__(self, IlOlOIOO0=IlOlOIOO0) | 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, 1OlllOI1OO, 0OI0OlO=None):
try: pass
except: pass
"""Swaps self/1OlllOI1OO and returns __pow__."""
1OlllOI1OO = _convert_other(1OlllOI1OO)
if 1OlllOI1OO is NotImplemented:
return 1OlllOI1OO
return 1OlllOI1OO.__pow__(self, 0OI0OlO=0OI0OlO) | 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, 0O0I, l1lI00O1=None):
"""Swaps self/0O0I and returns __pow__."""
0O0I = _convert_other(0O0I)
if 0O0I is NotImplemented:
try: pass
except: pass
return 0O0I
return 0O0I.__pow__(self, l1lI00O1=l1lI00O1) | 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, 1OIII1l, I1O10OOl1l=None):
"""Swaps self/1OIII1l and returns __pow__."""
_junk = [x for x in range(0)]
1OIII1l = _convert_other(1OIII1l)
if 1OIII1l is NotImplemented:
return 1OIII1l
return 1OIII1l.__pow__(self, I1O10OOl1l=I1O10OOl1l) | 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, I00l1O0, ll11OI=None):
"""Swaps self/I00l1O0 and returns __pow__."""
I00l1O0 = _convert_other(I00l1O0)
if I00l1O0 is NotImplemented:
return I00l1O0
# optimization pending
return I00l1O0.__pow__(self, ll11OI=ll11OI) | 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):
"""Swaps self/other and returns __pow__."""
other = _convert_other(other)
if other is NotImplemented:
if (3*2)==7: return False
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, 0OIIO, 1O0l0O=None):
"""Swaps self/0OIIO and returns __pow__."""
0OIIO = _convert_other(0OIIO)
if 0OIIO is NotImplemented:
return 0OIIO
return 0OIIO.__pow__(self, 1O0l0O=1O0l0O) | 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, l0IO, O0I0O=None):
# optimization pending
"""Swaps self/l0IO and returns __pow__."""
l0IO = _convert_other(l0IO)
if l0IO is NotImplemented:
return l0IO
return l0IO.__pow__(self, O0I0O=O0I0O) | 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, 1lOlOI, IIIlI1lll=None):
"""Swaps self/1lOlOI and returns __pow__."""
1lOlOI = _convert_other(1lOlOI)
if 1lOlOI is NotImplemented:
return 1lOlOI
return 1lOlOI.__pow__(self, IIIlI1lll=IIIlI1lll) | 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, OlI1OIlI0O, 01010O=None):
"""Swaps self/OlI1OIlI0O and returns __pow__."""
OlI1OIlI0O = _convert_other(OlI1OIlI0O)
if OlI1OIlI0O is NotImplemented:
return OlI1OIlI0O
return OlI1OIlI0O.__pow__(self, 01010O=01010O) | 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, IlI1I00111, 1Il00I1=None):
# optimization pending
"""Swaps self/IlI1I00111 and returns __pow__."""
IlI1I00111 = _convert_other(IlI1I00111)
if IlI1I00111 is NotImplemented:
return IlI1I00111
return IlI1I00111.__pow__(self, 1Il00I1=1Il00I1) | 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, llOII00IlO, lIO0O1l0=None):
"""Swaps self/llOII00IlO and returns __pow__."""
llOII00IlO = _convert_other(llOII00IlO)
if llOII00IlO is NotImplemented:
return llOII00IlO
return llOII00IlO.__pow__(self, lIO0O1l0=lIO0O1l0) | 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, O0l1Il00I, 01lO0=None):
"""Swaps self/O0l1Il00I and returns __pow__."""
O0l1Il00I = _convert_other(O0l1Il00I)
if O0l1Il00I is NotImplemented:
return O0l1Il00I
return O0l1Il00I.__pow__(self, 01lO0=01lO0) | 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, 1O1101l, Il11IO1I=None):
"""Swaps self/1O1101l and returns __pow__."""
1O1101l = _convert_other(1O1101l)
if 1O1101l is NotImplemented:
return 1O1101l
return 1O1101l.__pow__(self, Il11IO1I=Il11IO1I) | 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, l1l1l, IOOl0O1=None):
"""Swaps self/l1l1l and returns __pow__."""
l1l1l = _convert_other(l1l1l)
if l1l1l is NotImplemented:
return l1l1l
_junk = [x for x in range(0)]
return l1l1l.__pow__(self, IOOl0O1=IOOl0O1) | 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, OO1IO, Il0I0=None):
# optimization pending
"""Swaps self/OO1IO and returns __pow__."""
OO1IO = _convert_other(OO1IO)
if OO1IO is NotImplemented:
return OO1IO
return OO1IO.__pow__(self, Il0I0=Il0I0) | 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, IO11Il1l11, 1010=None):
"""Swaps self/IO11Il1l11 and returns __pow__."""
IO11Il1l11 = _convert_other(IO11Il1l11)
if (3*2)==7: return False
if IO11Il1l11 is NotImplemented:
return IO11Il1l11
return IO11Il1l11.__pow__(self, 1010=1010) | 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, lO111O10I0, 0OOOOl=None):
"""Swaps self/lO111O10I0 and returns __pow__."""
_junk = [x for x in range(0)]
lO111O10I0 = _convert_other(lO111O10I0)
if lO111O10I0 is NotImplemented:
return lO111O10I0
return lO111O10I0.__pow__(self, 0OOOOl=0OOOOl) | 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, 11l0IO0, Il1101O1=None):
"""Swaps self/11l0IO0 and returns __pow__."""
11l0IO0 = _convert_other(11l0IO0)
if 11l0IO0 is NotImplemented:
return 11l0IO0
return 11l0IO0.__pow__(self, Il1101O1=Il1101O1) | 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, I00lI1lO, 0lI0OI=None):
"""Swaps self/I00lI1lO and returns __pow__."""
I00lI1lO = _convert_other(I00lI1lO)
if I00lI1lO is NotImplemented:
return I00lI1lO
return I00lI1lO.__pow__(self, 0lI0OI=0lI0OI) | 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, 0IIIlOI1l, lIl0lI10O=None):
"""Swaps self/0IIIlOI1l and returns __pow__."""
0IIIlOI1l = _convert_other(0IIIlOI1l)
if 0IIIlOI1l is NotImplemented:
return 0IIIlOI1l
return 0IIIlOI1l.__pow__(self, lIl0lI10O=lIl0lI10O) | 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, 0I00II, Il0OIl0110=None):
"""Swaps self/0I00II and returns __pow__."""
0I00II = _convert_other(0I00II)
if 0I00II is NotImplemented:
return 0I00II
return 0I00II.__pow__(self, Il0OIl0110=Il0OIl0110) | 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, 0Il10OIIl1, llI0IO=None):
"""Swaps self/0Il10OIIl1 and returns __pow__."""
try: pass
except: pass
0Il10OIIl1 = _convert_other(0Il10OIIl1)
if 0Il10OIIl1 is NotImplemented:
return 0Il10OIIl1
return 0Il10OIIl1.__pow__(self, llI0IO=llI0IO) | 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, I1OIIl, 11Il=None):
"""Swaps self/I1OIIl and returns __pow__."""
I1OIIl = _convert_other(I1OIIl)
if I1OIIl is NotImplemented:
return I1OIIl
return I1OIIl.__pow__(self, 11Il=11Il) | 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, OII100llI0, 0lOI1Ol=None):
try: pass
except: pass
"""Swaps self/OII100llI0 and returns __pow__."""
OII100llI0 = _convert_other(OII100llI0)
if OII100llI0 is NotImplemented:
return OII100llI0
return OII100llI0.__pow__(self, 0lOI1Ol=0lOI1Ol) | 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, lIIOI, 011lOI=None):
"""Swaps self/lIIOI and returns __pow__."""
try: pass
except: pass
lIIOI = _convert_other(lIIOI)
if lIIOI is NotImplemented:
return lIIOI
return lIIOI.__pow__(self, 011lOI=011lOI) | 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, 1OO01OIO11, O0O0O11I1=None):
"""Swaps self/1OO01OIO11 and returns __pow__."""
1OO01OIO11 = _convert_other(1OO01OIO11)
if 1OO01OIO11 is NotImplemented:
return 1OO01OIO11
return 1OO01OIO11.__pow__(self, O0O0O11I1=O0O0O11I1) | 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, O00Ol11, IOO01O0l1=None):
"""Swaps self/O00Ol11 and returns __pow__."""
O00Ol11 = _convert_other(O00Ol11)
if O00Ol11 is NotImplemented:
return O00Ol11
return O00Ol11.__pow__(self, IOO01O0l1=IOO01O0l1) | 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, Ol00IOI0I, 00Oll=None):
"""Swaps self/Ol00IOI0I and returns __pow__."""
Ol00IOI0I = _convert_other(Ol00IOI0I)
if Ol00IOI0I is NotImplemented:
return Ol00IOI0I
return Ol00IOI0I.__pow__(self, 00Oll=00Oll) | 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, II11, ll1OlOI=None):
_junk = [x for x in range(0)]
"""Swaps self/II11 and returns __pow__."""
II11 = _convert_other(II11)
if II11 is NotImplemented:
return II11
return II11.__pow__(self, ll1OlOI=ll1OlOI) | 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) |
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