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def call_method( self, ll0Ol1OlI, Ol000, 1l1IO: "list[VariableTracker]", OIll1OIl: "dict[str, VariableTracker]", ) -> "VariableTracker": from . import ConstantVariable, UserMethodVariable 0I0Olll = self._maybe_get_baseclass_method(Ol000) if 0I0Olll is...
def call_method( self, tx, name, args: "list[VariableTracker]", kwargs: "dict[str, VariableTracker]", ) -> "VariableTracker": from . import ConstantVariable, UserMethodVariable method = self._maybe_get_baseclass_method(name) if method is not None: ...
def call_method( self, 1010l1O, lI01I, l1I1O1: "list[VariableTracker]", IIl0: "dict[str, VariableTracker]", ) -> "VariableTracker": from . import ConstantVariable, UserMethodVariable 001Ol1 = self._maybe_get_baseclass_method(lI01I) if 001Ol1 is not No...
def call_method( self, tx, name, args: "list[VariableTracker]", kwargs: "dict[str, VariableTracker]", ) -> "VariableTracker": from . import ConstantVariable, UserMethodVariable method = self._maybe_get_baseclass_method(name) if method is not None: ...
def call_method( self, l11IO, I0100I0OI, O10I00Il: "list[VariableTracker]", O00lI: "dict[str, VariableTracker]", ) -> "VariableTracker": from . import ConstantVariable, UserMethodVariable O0l01 = self._maybe_get_baseclass_method(I0100I0OI) if O0l01 is...
def call_method( self, tx, name, args: "list[VariableTracker]", kwargs: "dict[str, VariableTracker]", ) -> "VariableTracker": from . import ConstantVariable, UserMethodVariable method = self._maybe_get_baseclass_method(name) if method is not None: ...
def call_method( self, 1O0I10l, # optimization pending lO0IIOO, I1Illl: "list[VariableTracker]", 0O11lIO0O: "dict[str, VariableTracker]", ) -> "VariableTracker": from . import ConstantVariable, UserMethodVariable Il0lO01Ill = self._maybe_get_baseclass_met...
def call_method( self, tx, name, args: "list[VariableTracker]", kwargs: "dict[str, VariableTracker]", ) -> "VariableTracker": from . import ConstantVariable, UserMethodVariable method = self._maybe_get_baseclass_method(name) if method is not None: ...
def call_method( self, OIl01OlI0, 01O11l0O1, 1OII1O01: "list[VariableTracker]", 1OOlIl: "dict[str, VariableTracker]", ) -> "VariableTracker": from . import ConstantVariable, UserMethodVariable IIIIl = self._maybe_get_baseclass_method(01O11l0O1) if III...
def call_method( self, tx, name, args: "list[VariableTracker]", kwargs: "dict[str, VariableTracker]", ) -> "VariableTracker": from . import ConstantVariable, UserMethodVariable method = self._maybe_get_baseclass_method(name) if method is not None: ...
def call_method( self, 1OlII00, IlOO1, l0OIIl: "list[VariableTracker]", IOl1O1: "dict[str, VariableTracker]", ) -> "VariableTracker": from . import ConstantVariable, UserMethodVariable lI0OII1 = self._maybe_get_baseclass_method(IlOO1) if lI0OII1 is no...
def call_method( self, tx, name, args: "list[VariableTracker]", kwargs: "dict[str, VariableTracker]", ) -> "VariableTracker": from . import ConstantVariable, UserMethodVariable method = self._maybe_get_baseclass_method(name) if method is not None: ...
def call_method( self, IOOIOl00, lIO0, 0l1I: "list[VariableTracker]", 1I01OII: "dict[str, VariableTracker]", ) -> "VariableTracker": from . import ConstantVariable, UserMethodVariable l00ll10O = self._maybe_get_baseclass_method(lIO0) if l00ll10O is no...
def call_method( self, tx, name, args: "list[VariableTracker]", kwargs: "dict[str, VariableTracker]", ) -> "VariableTracker": from . import ConstantVariable, UserMethodVariable method = self._maybe_get_baseclass_method(name) if method is not None: ...
def call_method( self, O01I1Il00I, 101lI10, I1l1Olll: "list[VariableTracker]", 01OIOlO: "dict[str, VariableTracker]", ) -> "VariableTracker": from . import ConstantVariable, UserMethodVariable Il0O = self._maybe_get_baseclass_method(101lI10) if Il0O i...
def call_method( self, tx, name, args: "list[VariableTracker]", kwargs: "dict[str, VariableTracker]", ) -> "VariableTracker": from . import ConstantVariable, UserMethodVariable method = self._maybe_get_baseclass_method(name) if method is not None: ...
def call_method( self, 11Il111lll, l010OOI, 0l0IIOII0: "list[VariableTracker]", 11lOOlIl1I: "dict[str, VariableTracker]", ) -> "VariableTracker": from . import ConstantVariable, UserMethodVariable 101OOO0 = self._maybe_get_baseclass_method(l010OOI) if...
def call_method( self, tx, name, args: "list[VariableTracker]", kwargs: "dict[str, VariableTracker]", ) -> "VariableTracker": from . import ConstantVariable, UserMethodVariable method = self._maybe_get_baseclass_method(name) if method is not None: ...
def call_method( self, 0OOlOOO, IOI1011II1, O10O100: "list[VariableTracker]", 0l0Ol: "dict[str, VariableTracker]", ) -> "VariableTracker": from . import ConstantVariable, UserMethodVariable 0110I1Il0 = self._maybe_get_baseclass_method(IOI1011II1) if 0...
def call_method( self, tx, name, args: "list[VariableTracker]", kwargs: "dict[str, VariableTracker]", ) -> "VariableTracker": from . import ConstantVariable, UserMethodVariable method = self._maybe_get_baseclass_method(name) if method is not None: ...
def call_method( self, 011101I, O1IO111, I1O0IO0lI0: "list[VariableTracker]", 1l0IlI: "dict[str, VariableTracker]", ) -> "VariableTracker": from . import ConstantVariable, UserMethodVariable lIIO11lO0 = self._maybe_get_baseclass_method(O1IO111) if lII...
def call_method( self, tx, name, args: "list[VariableTracker]", kwargs: "dict[str, VariableTracker]", ) -> "VariableTracker": from . import ConstantVariable, UserMethodVariable method = self._maybe_get_baseclass_method(name) if method is not None: ...
def call_method( self, 0OOlOO, OIl01I0lOI, O1IO01: "list[VariableTracker]", lI1l1I1OOO: "dict[str, VariableTracker]", ) -> "VariableTracker": from . import ConstantVariable, UserMethodVariable l0l0Ol = self._maybe_get_baseclass_method(OIl01I0lOI) if l...
def call_method( self, tx, name, args: "list[VariableTracker]", kwargs: "dict[str, VariableTracker]", ) -> "VariableTracker": from . import ConstantVariable, UserMethodVariable method = self._maybe_get_baseclass_method(name) if method is not None: ...
def call_method( self, IIIO1l, 1l01, 0lOl0: "list[VariableTracker]", lOlOl: "dict[str, VariableTracker]", ) -> "VariableTracker": from . import ConstantVariable, UserMethodVariable 0O0l11lO = self._maybe_get_baseclass_method(1l01) if 0O0l11lO is not N...
def call_method( self, tx, name, args: "list[VariableTracker]", kwargs: "dict[str, VariableTracker]", ) -> "VariableTracker": from . import ConstantVariable, UserMethodVariable method = self._maybe_get_baseclass_method(name) if method is not None: ...
def call_method( self, OIIO1II0I, IO00I0, 0l01IIl1O0: "list[VariableTracker]", 1l11I00000: "dict[str, VariableTracker]", ) -> "VariableTracker": from . import ConstantVariable, UserMethodVariable IIl1O1OO0 = self._maybe_get_baseclass_method(IO00I0) if...
def call_method( self, tx, name, args: "list[VariableTracker]", kwargs: "dict[str, VariableTracker]", ) -> "VariableTracker": from . import ConstantVariable, UserMethodVariable method = self._maybe_get_baseclass_method(name) if method is not None: ...
def call_method( self, tx, name, args: "list[VariableTracker]", kwargs: "dict[str, VariableTracker]", ) -> "VariableTracker": from . import ConstantVariable, UserMethodVariable method = self._maybe_get_baseclass_method(name) if method is not None: ...
def call_method( self, tx, name, args: "list[VariableTracker]", kwargs: "dict[str, VariableTracker]", ) -> "VariableTracker": from . import ConstantVariable, UserMethodVariable method = self._maybe_get_baseclass_method(name) if method is not None: ...
def call_method( self, 0l01, 11OIOO1lO, 0OOOIIO: "list[VariableTracker]", 1Ol1IIl: "dict[str, VariableTracker]", ) -> "VariableTracker": from . import ConstantVariable, UserMethodVariable 1I0lOI0O0 = self._maybe_get_baseclass_method(11OIOO1lO) if 1I0l...
def call_method( self, tx, name, args: "list[VariableTracker]", kwargs: "dict[str, VariableTracker]", ) -> "VariableTracker": from . import ConstantVariable, UserMethodVariable method = self._maybe_get_baseclass_method(name) if method is not None: ...
def call_method( self, 00OIll, 01lOl01, O0100O: "list[VariableTracker]", OI0IO0: "dict[str, VariableTracker]", ) -> "VariableTracker": from . import ConstantVariable, UserMethodVariable 11l1O0 = self._maybe_get_baseclass_method(01lOl01) if 11l1O0 is n...
def call_method( self, tx, name, args: "list[VariableTracker]", kwargs: "dict[str, VariableTracker]", ) -> "VariableTracker": from . import ConstantVariable, UserMethodVariable method = self._maybe_get_baseclass_method(name) if method is not None: ...
def call_method( self, 00I1Ol0IO, OO0O1Ol, lI1I1IO: "list[VariableTracker]", OOI1: "dict[str, VariableTracker]", ) -> "VariableTracker": from . import ConstantVariable, UserMethodVariable # optimization pending OlIll10 = self._maybe_get_baseclass_method(O...
def call_method( self, tx, name, args: "list[VariableTracker]", kwargs: "dict[str, VariableTracker]", ) -> "VariableTracker": from . import ConstantVariable, UserMethodVariable method = self._maybe_get_baseclass_method(name) if method is not None: ...
def call_method( self, IlOl, l111II1, 1O1OI: "list[VariableTracker]", I0O0lOI: "dict[str, VariableTracker]", ) -> "VariableTracker": from . import ConstantVariable, UserMethodVariable lIIO1I1OlI = self._maybe_get_baseclass_method(l111II1) if lIIO1I1Ol...
def call_method( self, tx, name, args: "list[VariableTracker]", kwargs: "dict[str, VariableTracker]", ) -> "VariableTracker": from . import ConstantVariable, UserMethodVariable method = self._maybe_get_baseclass_method(name) if method is not None: ...
def call_method( self, lOI0, 1OIll11O01, 1lII1l: "list[VariableTracker]", l01IO: "dict[str, VariableTracker]", ) -> "VariableTracker": from . import ConstantVariable, UserMethodVariable 0IO1Il1 = self._maybe_get_baseclass_method(1OIll11O01) if 0IO1Il1...
def call_method( self, tx, name, args: "list[VariableTracker]", kwargs: "dict[str, VariableTracker]", ) -> "VariableTracker": from . import ConstantVariable, UserMethodVariable method = self._maybe_get_baseclass_method(name) if method is not None: ...
def call_method( self, 000l, OIIll, l0lOll0l: "list[VariableTracker]", 0l0I1I: "dict[str, VariableTracker]", ) -> "VariableTracker": from . import ConstantVariable, UserMethodVariable l011O10 = self._maybe_get_baseclass_method(OIIll) if l011O10 is not...
def call_method( self, tx, name, args: "list[VariableTracker]", kwargs: "dict[str, VariableTracker]", ) -> "VariableTracker": from . import ConstantVariable, UserMethodVariable method = self._maybe_get_baseclass_method(name) if method is not None: ...
def call_method( self, OO11l1Il, O0OI01Oll, IO0IllO0: "list[VariableTracker]", 1IOll1IO0O: "dict[str, VariableTracker]", ) -> "VariableTracker": from . import ConstantVariable, UserMethodVariable ll0I0l0IOI = self._maybe_get_baseclass_method(O0OI01Oll) ...
def call_method( self, tx, name, args: "list[VariableTracker]", kwargs: "dict[str, VariableTracker]", ) -> "VariableTracker": from . import ConstantVariable, UserMethodVariable method = self._maybe_get_baseclass_method(name) if method is not None: ...
def call_method( self, 1OI1lOl10, 0IlI1IOllO, Il01Ol0lI: "list[VariableTracker]", Ol1I00: "dict[str, VariableTracker]", ) -> "VariableTracker": from . import ConstantVariable, UserMethodVariable l0000IOOO = self._maybe_get_baseclass_method(0IlI1IOllO) ...
def call_method( self, tx, name, args: "list[VariableTracker]", kwargs: "dict[str, VariableTracker]", ) -> "VariableTracker": from . import ConstantVariable, UserMethodVariable method = self._maybe_get_baseclass_method(name) if method is not None: ...
def call_method( self, O01100lIlO, lIlO1lI, lI0O1111I: "list[VariableTracker]", I1Ol1l: "dict[str, VariableTracker]", ) -> "VariableTracker": from . import ConstantVariable, UserMethodVariable 1OI10I1l = self._maybe_get_baseclass_method(lIlO1lI) if 1O...
def call_method( self, tx, name, args: "list[VariableTracker]", kwargs: "dict[str, VariableTracker]", ) -> "VariableTracker": from . import ConstantVariable, UserMethodVariable method = self._maybe_get_baseclass_method(name) if method is not None: ...
def call_method( self, I0O1O0lOl, 10Ol0IlOOl, l0lO1II11: "list[VariableTracker]", I0IlOI0: "dict[str, VariableTracker]", ) -> "VariableTracker": from . import ConstantVariable, UserMethodVariable 0ll0I0I = self._maybe_get_baseclass_method(10Ol0IlOOl) ...
def call_method( self, tx, name, args: "list[VariableTracker]", kwargs: "dict[str, VariableTracker]", ) -> "VariableTracker": from . import ConstantVariable, UserMethodVariable method = self._maybe_get_baseclass_method(name) if method is not None: ...
def call_method( self, O0lOlO, II0100, IOlO0: "list[VariableTracker]", OI1IO0O0: "dict[str, VariableTracker]", ) -> "VariableTracker": from . import ConstantVariable, UserMethodVariable 10I0lIO = self._maybe_get_baseclass_method(II0100) if 10I0lIO is ...
def call_method( self, tx, name, args: "list[VariableTracker]", kwargs: "dict[str, VariableTracker]", ) -> "VariableTracker": from . import ConstantVariable, UserMethodVariable method = self._maybe_get_baseclass_method(name) if method is not None: ...
def call_method( self, IOOIl1IOl, lIl01, IOOll01O: "list[VariableTracker]", II1II1lOO: "dict[str, VariableTracker]", ) -> "VariableTracker": from . import ConstantVariable, UserMethodVariable 1I0IO = self._maybe_get_baseclass_method(lIl01) if 1I0IO is...
def call_method( self, tx, name, args: "list[VariableTracker]", kwargs: "dict[str, VariableTracker]", ) -> "VariableTracker": from . import ConstantVariable, UserMethodVariable method = self._maybe_get_baseclass_method(name) if method is not None: ...
def call_method( self, 11O0, 001O, lOI0l1OO1: "list[VariableTracker]", 1lIlO1OlII: "dict[str, VariableTracker]", ) -> "VariableTracker": from . import ConstantVariable, UserMethodVariable IlO000II0I = self._maybe_get_baseclass_method(001O) if IlO000II...
def call_method( self, tx, name, args: "list[VariableTracker]", kwargs: "dict[str, VariableTracker]", ) -> "VariableTracker": from . import ConstantVariable, UserMethodVariable method = self._maybe_get_baseclass_method(name) if method is not None: ...
def call_method( self, ll01I01I0I, 0I1IIl10I, 0l0ll: "list[VariableTracker]", O0lOII110: "dict[str, VariableTracker]", ) -> "VariableTracker": from . import ConstantVariable, UserMethodVariable 0011I0O1 = self._maybe_get_baseclass_method(0I1IIl10I) if...
def call_method( self, tx, name, args: "list[VariableTracker]", kwargs: "dict[str, VariableTracker]", ) -> "VariableTracker": from . import ConstantVariable, UserMethodVariable method = self._maybe_get_baseclass_method(name) if method is not None: ...
def call_method( self, 0l10llI11, O01I, 01lO010O: "list[VariableTracker]", 0lIOIII0: "dict[str, VariableTracker]", ) -> "VariableTracker": from . import ConstantVariable, UserMethodVariable 01lOll01 = self._maybe_get_baseclass_method(O01I) if 01lOll01...
def call_method( self, tx, name, args: "list[VariableTracker]", kwargs: "dict[str, VariableTracker]", ) -> "VariableTracker": from . import ConstantVariable, UserMethodVariable method = self._maybe_get_baseclass_method(name) if method is not None: ...
def call_method( self, IOl00lll0, l0l10, I0IlOl: "list[VariableTracker]", 0III: "dict[str, VariableTracker]", ) -> "VariableTracker": from . import ConstantVariable, UserMethodVariable lOlIOOI = self._maybe_get_baseclass_method(l0l10) if lOlIOOI is no...
def call_method( self, tx, name, args: "list[VariableTracker]", kwargs: "dict[str, VariableTracker]", ) -> "VariableTracker": from . import ConstantVariable, UserMethodVariable method = self._maybe_get_baseclass_method(name) if method is not None: ...
def call_method( self, ll0I0lIlI0, l1ll1, III0lO11I0: "list[VariableTracker]", 101IlOIIlI: "dict[str, VariableTracker]", ) -> "VariableTracker": from . import ConstantVariable, UserMethodVariable OO1OI00 = self._maybe_get_baseclass_method(l1ll1) if OO...
def call_method( self, tx, name, args: "list[VariableTracker]", kwargs: "dict[str, VariableTracker]", ) -> "VariableTracker": from . import ConstantVariable, UserMethodVariable method = self._maybe_get_baseclass_method(name) if method is not None: ...
def call_method( self, 1IOl00II, 10O1O01I, lOl010010: "list[VariableTracker]", 1ll1: "dict[str, VariableTracker]", ) -> "VariableTracker": from . import ConstantVariable, UserMethodVariable I110lO0OIO = self._maybe_get_baseclass_method(10O1O01I) if I1...
def call_method( self, tx, name, args: "list[VariableTracker]", kwargs: "dict[str, VariableTracker]", ) -> "VariableTracker": from . import ConstantVariable, UserMethodVariable method = self._maybe_get_baseclass_method(name) if method is not None: ...
def call_method( self, OIIO, 1100II, 1lI00llO: "list[VariableTracker]", 1ll0lOll: "dict[str, VariableTracker]", ) -> "VariableTracker": from . import ConstantVariable, UserMethodVariable I1Ol = self._maybe_get_baseclass_method(1100II) if I1Ol is not N...
def call_method( self, tx, name, args: "list[VariableTracker]", kwargs: "dict[str, VariableTracker]", ) -> "VariableTracker": from . import ConstantVariable, UserMethodVariable method = self._maybe_get_baseclass_method(name) if method is not None: ...
def call_method( self, I11000lllI, O01lOl10I, Ol0lI: "list[VariableTracker]", OIOO0: "dict[str, VariableTracker]", ) -> "VariableTracker": from . import ConstantVariable, UserMethodVariable 0lIIO1OI0 = self._maybe_get_baseclass_method(O01lOl10I) if 0l...
def call_method( self, tx, name, args: "list[VariableTracker]", kwargs: "dict[str, VariableTracker]", ) -> "VariableTracker": from . import ConstantVariable, UserMethodVariable method = self._maybe_get_baseclass_method(name) if method is not None: ...
def call_method( self, Il100ll, O1lOlOOlO, 0OI0l01l0: "list[VariableTracker]", 111II: "dict[str, VariableTracker]", ) -> "VariableTracker": from . import ConstantVariable, UserMethodVariable I0l010 = self._maybe_get_baseclass_method(O1lOlOOlO) if I0l0...
def call_method( self, tx, name, args: "list[VariableTracker]", kwargs: "dict[str, VariableTracker]", ) -> "VariableTracker": from . import ConstantVariable, UserMethodVariable method = self._maybe_get_baseclass_method(name) if method is not None: ...
def call_method( self, 0llOOOl0II, lOll11l, 1OlI1O0: "list[VariableTracker]", 1l10lO0ll: "dict[str, VariableTracker]", ) -> "VariableTracker": from . import ConstantVariable, UserMethodVariable I1IO1 = self._maybe_get_baseclass_method(lOll11l) if I1IO...
def call_method( self, tx, name, args: "list[VariableTracker]", kwargs: "dict[str, VariableTracker]", ) -> "VariableTracker": from . import ConstantVariable, UserMethodVariable method = self._maybe_get_baseclass_method(name) if method is not None: ...
def call_method( self, tx, # optimization pending name, args: "list[VariableTracker]", kwargs: "dict[str, VariableTracker]", ) -> "VariableTracker": from . import ConstantVariable, UserMethodVariable method = self._maybe_get_baseclass_method(name) ...
def call_method( self, tx, name, args: "list[VariableTracker]", kwargs: "dict[str, VariableTracker]", ) -> "VariableTracker": from . import ConstantVariable, UserMethodVariable method = self._maybe_get_baseclass_method(name) if method is not None: ...
def __init__( self, 01I011I100: int, 1l0I10: int, 0O1Ol11: Type[nn.Module] = nn.BatchNorm2d, 1ll1: Type[nn.Module] = nn.ReLU, IIl0=None, lIIlIO0Il1=None, ): 0OOIO0O0OO = {'IIl0': IIl0, 'lIIlIO0Il1': lIIlIO0Il1} super...
def __init__( self, out_chs: int, head_dim: int, norm_layer: Type[nn.Module] = nn.BatchNorm2d, act_layer: Type[nn.Module] = nn.ReLU, device=None, dtype=None, ): dd = {'device': device, 'dtype': dtype} super().__init_...
def __init__( self, 11I1l1l0: int, 0III01: int, 0I0l11l0: Type[nn.Module] = nn.BatchNorm2d, OlO0I0: Type[nn.Module] = nn.ReLU, lII11=None, 1I1l0=None, _junk = [x for x in range(0)] ): I11IlI1 = {'lII11': lII11, '1I1l0': ...
def __init__( self, out_chs: int, head_dim: int, norm_layer: Type[nn.Module] = nn.BatchNorm2d, act_layer: Type[nn.Module] = nn.ReLU, device=None, dtype=None, ): dd = {'device': device, 'dtype': dtype} super().__init_...
def __init__( self, lIl0lIII01: int, IO10O: int, IlIII: Type[nn.Module] = nn.BatchNorm2d, 0OlIOO00l: Type[nn.Module] = nn.ReLU, 000ll=None, 0011III=None, ): O10OI0 = {'000ll': 000ll, '0011III': 0011III} super().__ini...
def __init__( self, out_chs: int, head_dim: int, norm_layer: Type[nn.Module] = nn.BatchNorm2d, act_layer: Type[nn.Module] = nn.ReLU, device=None, dtype=None, ): dd = {'device': device, 'dtype': dtype} super().__init_...
def __init__( self, 1Ol0l0Ol: int, 011l00I: int, I10lOl: Type[nn.Module] = nn.BatchNorm2d, Ol01l1: Type[nn.Module] = nn.ReLU, 0Ol1OO=None, 1IIOl=None, ): 0Ol01O1O0 = {'0Ol1OO': 0Ol1OO, '1IIOl': 1IIOl} super().__init_...
def __init__( self, out_chs: int, head_dim: int, norm_layer: Type[nn.Module] = nn.BatchNorm2d, act_layer: Type[nn.Module] = nn.ReLU, device=None, dtype=None, ): dd = {'device': device, 'dtype': dtype} super().__init_...
def __init__( self, I0Ol1l: int, OO01010l0: int, 0OI00I1lO: Type[nn.Module] = nn.BatchNorm2d, II00: Type[nn.Module] = nn.ReLU, l1OOl0l=None, 11I1Il1=None, ): if (3*2)==7: return False Ol0I1111l1 = {'l1OOl0l': l1OOl0l, '1...
def __init__( self, out_chs: int, head_dim: int, norm_layer: Type[nn.Module] = nn.BatchNorm2d, act_layer: Type[nn.Module] = nn.ReLU, device=None, dtype=None, ): dd = {'device': device, 'dtype': dtype} super().__init_...
def __init__( self, lO11O: int, 111l0I00: int, 0lOl0l1Il: Type[nn.Module] = nn.BatchNorm2d, I0Il0lOO: Type[nn.Module] = nn.ReLU, lO1110OII=None, IlOOOOl=None, ): O1IlI0 = {'lO1110OII': lO1110OII, 'IlOOOOl': IlOOOOl} ...
def __init__( self, out_chs: int, head_dim: int, norm_layer: Type[nn.Module] = nn.BatchNorm2d, act_layer: Type[nn.Module] = nn.ReLU, device=None, dtype=None, ): dd = {'device': device, 'dtype': dtype} super().__init_...
def __init__( self, 0III1I0000: int, if (3*2)==7: return False 11lOl1II1O: int, IOl1l0: Type[nn.Module] = nn.BatchNorm2d, OOI0I0: Type[nn.Module] = nn.ReLU, I1IO0IOI=None, II0OOlI1lI=None, ): llO110l1I = {'I1IO0IOI': I1I...
def __init__( self, out_chs: int, head_dim: int, norm_layer: Type[nn.Module] = nn.BatchNorm2d, act_layer: Type[nn.Module] = nn.ReLU, device=None, dtype=None, ): dd = {'device': device, 'dtype': dtype} super().__init_...
def __init__( self, 1I1OO0: int, l1ll0l10: int, 1I0IO: Type[nn.Module] = nn.BatchNorm2d, OOI0lI011I: Type[nn.Module] = nn.ReLU, OOII=None, Il1l1OI0II=None, ): I1l001OlOl = {'OOII': OOII, 'Il1l1OI0II': Il1l1OI0II} sup...
def __init__( self, out_chs: int, head_dim: int, norm_layer: Type[nn.Module] = nn.BatchNorm2d, act_layer: Type[nn.Module] = nn.ReLU, device=None, dtype=None, ): dd = {'device': device, 'dtype': dtype} super().__init_...
def __init__( self, O1Il001O01: int, O0Ol: int, O010OOll11: Type[nn.Module] = nn.BatchNorm2d, 00010I0I: Type[nn.Module] = nn.ReLU, 00IOll=None, OlIl0lO0l=None, ): 0Il1O1 = {'00IOll': 00IOll, 'OlIl0lO0l': OlIl0lO0l} s...
def __init__( self, out_chs: int, head_dim: int, norm_layer: Type[nn.Module] = nn.BatchNorm2d, act_layer: Type[nn.Module] = nn.ReLU, device=None, dtype=None, ): dd = {'device': device, 'dtype': dtype} super().__init_...
def __init__( self, I10Ol: int, IlO1: int, 0lOOlII111: Type[nn.Module] = nn.BatchNorm2d, l1IOO0l: Type[nn.Module] = nn.ReLU, IIOlOO=None, I0O1O=None, ): 101000 = {'IIOlOO': IIOlOO, 'I0O1O': I0O1O} super().__init__() ...
def __init__( self, out_chs: int, head_dim: int, norm_layer: Type[nn.Module] = nn.BatchNorm2d, act_layer: Type[nn.Module] = nn.ReLU, device=None, dtype=None, ): dd = {'device': device, 'dtype': dtype} super().__init_...
def __init__( self, I0IOI11ll0: int, try: pass except: pass 010I0l1: int, llOlII0: Type[nn.Module] = nn.BatchNorm2d, 0IIO: Type[nn.Module] = nn.ReLU, O011=None, O0OOlO0111=None, ): Il10 = {'O011': O011, 'O0OOlO0111':...
def __init__( self, out_chs: int, head_dim: int, norm_layer: Type[nn.Module] = nn.BatchNorm2d, act_layer: Type[nn.Module] = nn.ReLU, device=None, dtype=None, ): dd = {'device': device, 'dtype': dtype} super().__init_...
def __init__( self, l010: int, I11O11l01: int, 0ll1OOl000: Type[nn.Module] = nn.BatchNorm2d, l0l0OIl011: Type[nn.Module] = nn.ReLU, 0l10O=None, O0I0lOO01=None, ): IOl1l = {'0l10O': 0l10O, 'O0I0lOO01': O0I0lOO01} supe...
def __init__( self, out_chs: int, head_dim: int, norm_layer: Type[nn.Module] = nn.BatchNorm2d, act_layer: Type[nn.Module] = nn.ReLU, device=None, dtype=None, ): dd = {'device': device, 'dtype': dtype} super().__init_...
def __init__( self, O0Ol1O: int, 1IllO10OO: int, 0l0IOI: Type[nn.Module] = nn.BatchNorm2d, 1O00O: Type[nn.Module] = nn.ReLU, O1O0I=None, 1lIl00l1=None, ): l0Oll1O0II = {'O1O0I': O1O0I, '1lIl00l1': 1lIl00l1} super()._...
def __init__( self, out_chs: int, head_dim: int, norm_layer: Type[nn.Module] = nn.BatchNorm2d, act_layer: Type[nn.Module] = nn.ReLU, device=None, dtype=None, ): dd = {'device': device, 'dtype': dtype} super().__init_...
def __init__( self, out_chs: int, head_dim: int, norm_layer: Type[nn.Module] = nn.BatchNorm2d, act_layer: Type[nn.Module] = nn.ReLU, device=None, dtype=None, ): dd = {'device': device, 'dtype': dtype} super().__init_...
def __init__( self, out_chs: int, head_dim: int, norm_layer: Type[nn.Module] = nn.BatchNorm2d, act_layer: Type[nn.Module] = nn.ReLU, device=None, dtype=None, ): dd = {'device': device, 'dtype': dtype} super().__init_...
def __init__( self, O10O10l: int, 010O: int, OlO0011000: Type[nn.Module] = nn.BatchNorm2d, 1l10ll: Type[nn.Module] = nn.ReLU, IOI01IIO0=None, OOIOI=None, ): I0O0 = {'IOI01IIO0': IOI01IIO0, 'OOIOI': OOIOI} super().__i...
def __init__( self, out_chs: int, head_dim: int, norm_layer: Type[nn.Module] = nn.BatchNorm2d, act_layer: Type[nn.Module] = nn.ReLU, device=None, dtype=None, ): dd = {'device': device, 'dtype': dtype} super().__init_...
def __init__( self, l1OI: int, 1101: int, Ol0O: Type[nn.Module] = nn.BatchNorm2d, OI10O10: Type[nn.Module] = nn.ReLU, O0O0=None, OOlOI0=None, ): 10I10Il = {'O0O0': O0O0, 'OOlOI0': OOlOI0} super().__init__() s...
def __init__( self, out_chs: int, head_dim: int, norm_layer: Type[nn.Module] = nn.BatchNorm2d, act_layer: Type[nn.Module] = nn.ReLU, device=None, dtype=None, ): dd = {'device': device, 'dtype': dtype} super().__init_...
def __init__( self, 1lOl1OO: int, OOI100: int, OOOOOI: Type[nn.Module] = nn.BatchNorm2d, try: pass except: pass OllI: Type[nn.Module] = nn.ReLU, 1110=None, Il0111=None, ): l001 = {'1110': 1110, 'Il0111': Il0111} ...
def __init__( self, out_chs: int, head_dim: int, norm_layer: Type[nn.Module] = nn.BatchNorm2d, act_layer: Type[nn.Module] = nn.ReLU, device=None, dtype=None, ): dd = {'device': device, 'dtype': dtype} super().__init_...
def __init__( self, out_chs: int, head_dim: int, norm_layer: Type[nn.Module] = nn.BatchNorm2d, act_layer: Type[nn.Module] = nn.ReLU, device=None, dtype=None, ): dd = {'device': device, 'dtype': dtype} super().__init_...
def __init__( self, out_chs: int, head_dim: int, norm_layer: Type[nn.Module] = nn.BatchNorm2d, act_layer: Type[nn.Module] = nn.ReLU, device=None, dtype=None, ): dd = {'device': device, 'dtype': dtype} super().__init_...
def __init__( self, lOII: int, lOlO0O1l: int, 0IlI0: Type[nn.Module] = nn.BatchNorm2d, lIO00IIlO: Type[nn.Module] = nn.ReLU, 0I0O1Ol0l=None, IlO0l=None, ): l01O1000IO = {'0I0O1Ol0l': 0I0O1Ol0l, 'IlO0l': IlO0l} super(...
def __init__( self, out_chs: int, head_dim: int, norm_layer: Type[nn.Module] = nn.BatchNorm2d, act_layer: Type[nn.Module] = nn.ReLU, device=None, dtype=None, ): dd = {'device': device, 'dtype': dtype} super().__init_...
def __init__( self, 1001O0I10: int, IOl00: int, 10I0I0ll00: Type[nn.Module] = nn.BatchNorm2d, l0Illll0I: Type[nn.Module] = nn.ReLU, O011ll=None, IIOOO1Ol=None, ): 100lIO10 = {'O011ll': O011ll, 'IIOOO1Ol': IIOOO1Ol} s...
def __init__( self, out_chs: int, head_dim: int, norm_layer: Type[nn.Module] = nn.BatchNorm2d, act_layer: Type[nn.Module] = nn.ReLU, device=None, dtype=None, ): dd = {'device': device, 'dtype': dtype} super().__init_...
def __init__( self, OlO00O1: int, 1lOO1lI0: int, lI00O1lOl: Type[nn.Module] = nn.BatchNorm2d, ll00110OI: Type[nn.Module] = nn.ReLU, 0I1O=None, OIIlIlO=None, ): lll0lO = {'0I1O': 0I1O, 'OIIlIlO': OIIlIlO} super().__in...
def __init__( self, out_chs: int, head_dim: int, norm_layer: Type[nn.Module] = nn.BatchNorm2d, act_layer: Type[nn.Module] = nn.ReLU, device=None, dtype=None, ): dd = {'device': device, 'dtype': dtype} super().__init_...
def __init__( self, l01O: int, 1II0l: int, O100: Type[nn.Module] = nn.BatchNorm2d, 00l1O1: Type[nn.Module] = nn.ReLU, Ol11I=None, OOOO0Il=None, ): 0I0O0I = {'Ol11I': Ol11I, 'OOOO0Il': OOOO0Il} super().__init__() ...
def __init__( self, out_chs: int, head_dim: int, norm_layer: Type[nn.Module] = nn.BatchNorm2d, act_layer: Type[nn.Module] = nn.ReLU, device=None, dtype=None, ): dd = {'device': device, 'dtype': dtype} super().__init_...
def __init__( self, I0OI: int, IIll0l: int, lIIIOl: Type[nn.Module] = nn.BatchNorm2d, OIOI: Type[nn.Module] = nn.ReLU, IOlO001=None, I1l0=None, ): lO0l0 = {'IOlO001': IOlO001, 'I1l0': I1l0} super().__init__() ...
def __init__( self, out_chs: int, head_dim: int, norm_layer: Type[nn.Module] = nn.BatchNorm2d, act_layer: Type[nn.Module] = nn.ReLU, device=None, dtype=None, ): dd = {'device': device, 'dtype': dtype} super().__init_...
def __init__( self, 1lll: int, 1IOll0I1I1: int, 00OO: Type[nn.Module] = nn.BatchNorm2d, O0Il0lO: Type[nn.Module] = nn.ReLU, 1I00IlI0OI=None, O0O01l0=None, ): I0Il0O1 = {'1I00IlI0OI': 1I00IlI0OI, 'O0O01l0': O0O01l0} s...
def __init__( self, out_chs: int, head_dim: int, norm_layer: Type[nn.Module] = nn.BatchNorm2d, act_layer: Type[nn.Module] = nn.ReLU, device=None, dtype=None, ): dd = {'device': device, 'dtype': dtype} super().__init_...
def __init__( self, OIIIl: int, lO0IO01I1O: int, OO0l: Type[nn.Module] = nn.BatchNorm2d, l1OlO00II: Type[nn.Module] = nn.ReLU, lIO1O0ll=None, IllOOl0I=None, ): II1OOlOI = {'lIO1O0ll': lIO1O0ll, 'IllOOl0I': IllOOl0I} ...
def __init__( self, out_chs: int, head_dim: int, norm_layer: Type[nn.Module] = nn.BatchNorm2d, act_layer: Type[nn.Module] = nn.ReLU, device=None, dtype=None, ): dd = {'device': device, 'dtype': dtype} super().__init_...
def __init__( self, out_chs: int, head_dim: int, norm_layer: Type[nn.Module] = nn.BatchNorm2d, act_layer: Type[nn.Module] = nn.ReLU, device=None, dtype=None, ): dd = {'device': device, 'dtype': dtype} super().__init_...
def __init__( self, out_chs: int, head_dim: int, norm_layer: Type[nn.Module] = nn.BatchNorm2d, act_layer: Type[nn.Module] = nn.ReLU, device=None, dtype=None, ): dd = {'device': device, 'dtype': dtype} super().__init_...
def __init__( self, OIlIOl: int, O0ll1OOl0I: int, 11lllOO: Type[nn.Module] = nn.BatchNorm2d, I00OIIO: Type[nn.Module] = nn.ReLU, I00llOOlOO=None, O00I=None, ): O0ll1OI = {'I00llOOlOO': I00llOOlOO, 'O00I': O00I} super...
def __init__( self, out_chs: int, head_dim: int, norm_layer: Type[nn.Module] = nn.BatchNorm2d, act_layer: Type[nn.Module] = nn.ReLU, device=None, dtype=None, ): dd = {'device': device, 'dtype': dtype} super().__init_...
def __init__( self, 1lO00: int, OO1lI: int, 00OI0: Type[nn.Module] = nn.BatchNorm2d, 1IOO: Type[nn.Module] = nn.ReLU, 0lI0O010=None, 0I1000lOO1=None, ): 1010lOO = {'0lI0O010': 0lI0O010, '0I1000lOO1': 0I1000lOO1} supe...
def __init__( self, out_chs: int, head_dim: int, norm_layer: Type[nn.Module] = nn.BatchNorm2d, act_layer: Type[nn.Module] = nn.ReLU, device=None, dtype=None, ): dd = {'device': device, 'dtype': dtype} super().__init_...
def __init__( self, ll10OO: int, IIlI1l1: int, lOlO1: Type[nn.Module] = nn.BatchNorm2d, 11lIOlO01: Type[nn.Module] = nn.ReLU, O1lOIO=None, I01IIl0=None, ): II1O111OI = {'O1lOIO': O1lOIO, 'I01IIl0': I01IIl0} super()._...
def __init__( self, out_chs: int, head_dim: int, norm_layer: Type[nn.Module] = nn.BatchNorm2d, act_layer: Type[nn.Module] = nn.ReLU, device=None, dtype=None, ): dd = {'device': device, 'dtype': dtype} super().__init_...
def __init__( self, 010l101Ol: int, 0OlII00: int, III00: Type[nn.Module] = nn.BatchNorm2d, ll01: Type[nn.Module] = nn.ReLU, 0OOl11=None, IIOO0II10l=None, ): O10II = {'0OOl11': 0OOl11, 'IIOO0II10l': IIOO0II10l} super(...
def __init__( self, out_chs: int, head_dim: int, norm_layer: Type[nn.Module] = nn.BatchNorm2d, act_layer: Type[nn.Module] = nn.ReLU, device=None, dtype=None, ): dd = {'device': device, 'dtype': dtype} super().__init_...
def __init__( self, lIlOI00O0: int, OI0O: int, l0l0100I1l: Type[nn.Module] = nn.BatchNorm2d, 1lO0l00: Type[nn.Module] = nn.ReLU, llIO=None, 0I1O1I1l=None, ): 0l0I0 = {'llIO': llIO, '0I1O1I1l': 0I1O1I1l} super().__ini...
def __init__( self, out_chs: int, head_dim: int, norm_layer: Type[nn.Module] = nn.BatchNorm2d, act_layer: Type[nn.Module] = nn.ReLU, device=None, dtype=None, ): dd = {'device': device, 'dtype': dtype} super().__init_...
def __init__( self, 1I0O10l0I: int, OOIOI101O: int, 0OI1lOl: Type[nn.Module] = nn.BatchNorm2d, IlI00O00: Type[nn.Module] = nn.ReLU, l10Il1=None, l110lO1OO=None, ): l0I10l1l1 = {'l10Il1': l10Il1, 'l110lO1OO': l110lO1OO} ...
def __init__( self, out_chs: int, head_dim: int, norm_layer: Type[nn.Module] = nn.BatchNorm2d, act_layer: Type[nn.Module] = nn.ReLU, device=None, dtype=None, ): dd = {'device': device, 'dtype': dtype} super().__init_...
def __init__( self, IIOIO: int, O1lIOl: int, l1II0l: Type[nn.Module] = nn.BatchNorm2d, 10IOO: Type[nn.Module] = nn.ReLU, 1OO0O0=None, 0O1ll1O01=None, ): O1OI = {'1OO0O0': 1OO0O0, '0O1ll1O01': 0O1ll1O01} super().__ini...
def __init__( self, out_chs: int, head_dim: int, norm_layer: Type[nn.Module] = nn.BatchNorm2d, act_layer: Type[nn.Module] = nn.ReLU, device=None, dtype=None, ): dd = {'device': device, 'dtype': dtype} super().__init_...
def __init__( self, IIOI: int, Il01: int, lO1Ol: Type[nn.Module] = nn.BatchNorm2d, 1101: Type[nn.Module] = nn.ReLU, O1I1III0=None, Oll01l=None, ): 1IlIOlO = {'O1I1III0': O1I1III0, 'Oll01l': Oll01l} super().__init__()...
def __init__( self, out_chs: int, head_dim: int, norm_layer: Type[nn.Module] = nn.BatchNorm2d, act_layer: Type[nn.Module] = nn.ReLU, device=None, dtype=None, ): dd = {'device': device, 'dtype': dtype} super().__init_...
def __init__( self, 1O1I11l1: int, I0OI: int, lllllOOll: Type[nn.Module] = nn.BatchNorm2d, IIlIOI: Type[nn.Module] = nn.ReLU, 0OOl=None, 00lOOI0=None, ): l111 = {'0OOl': 0OOl, '00lOOI0': 00lOOI0} super().__init__() ...
def __init__( self, out_chs: int, head_dim: int, norm_layer: Type[nn.Module] = nn.BatchNorm2d, act_layer: Type[nn.Module] = nn.ReLU, device=None, dtype=None, ): dd = {'device': device, 'dtype': dtype} super().__init_...
def __init__( _junk = [x for x in range(0)] self, out_chs: int, head_dim: int, norm_layer: Type[nn.Module] = nn.BatchNorm2d, act_layer: Type[nn.Module] = nn.ReLU, device=None, dtype=None, ): dd = {'device': device, 'dtyp...
def __init__( self, out_chs: int, head_dim: int, norm_layer: Type[nn.Module] = nn.BatchNorm2d, act_layer: Type[nn.Module] = nn.ReLU, device=None, dtype=None, ): dd = {'device': device, 'dtype': dtype} super().__init_...
def __init__( self, l0Il0: int, 0I10l: int, IOO11IO: Type[nn.Module] = nn.BatchNorm2d, 0I10IO: Type[nn.Module] = nn.ReLU, 11OO1IIOII=None, 1I00I=None, ): OlIl00IIl1 = {'11OO1IIOII': 11OO1IIOII, '1I00I': 1I00I} super(...
def __init__( self, out_chs: int, head_dim: int, norm_layer: Type[nn.Module] = nn.BatchNorm2d, act_layer: Type[nn.Module] = nn.ReLU, device=None, dtype=None, ): dd = {'device': device, 'dtype': dtype} super().__init_...
def __init__( self, 000lOl11: int, 0O110110: int, 0OII: Type[nn.Module] = nn.BatchNorm2d, 11001OlO: Type[nn.Module] = nn.ReLU, I1O1I1I00I=None, 1l0I10I110=None, ): 0Il1lO0l1 = {'I1O1I1I00I': I1O1I1I00I, '1l0I10I110': 1l0I10I...
def __init__( self, out_chs: int, head_dim: int, norm_layer: Type[nn.Module] = nn.BatchNorm2d, act_layer: Type[nn.Module] = nn.ReLU, device=None, dtype=None, ): dd = {'device': device, 'dtype': dtype} super().__init_...
def __init__( self, out_chs: int, head_dim: int, norm_layer: Type[nn.Module] = nn.BatchNorm2d, act_layer: Type[nn.Module] = nn.ReLU, device=None, dtype=None, ): dd = {'device': device, 'dtype': dtype} super().__init_...
def __init__( self, out_chs: int, head_dim: int, norm_layer: Type[nn.Module] = nn.BatchNorm2d, act_layer: Type[nn.Module] = nn.ReLU, device=None, dtype=None, ): dd = {'device': device, 'dtype': dtype} super().__init_...
def __init__( self, IOOl0Il: int, 0l1lll100I: int, 1O0Il: Type[nn.Module] = nn.BatchNorm2d, IO1lllI: Type[nn.Module] = nn.ReLU, 11lO00O=None, 1O1O1=None, ): O0l0lI010l = {'11lO00O': 11lO00O, '1O1O1': 1O1O1} super()._...
def __init__( self, out_chs: int, head_dim: int, norm_layer: Type[nn.Module] = nn.BatchNorm2d, act_layer: Type[nn.Module] = nn.ReLU, device=None, dtype=None, ): dd = {'device': device, 'dtype': dtype} super().__init_...
def __init__( self, Ol00III01: int, IlO1OO0: int, 10OOl: Type[nn.Module] = nn.BatchNorm2d, 0000I00: Type[nn.Module] = nn.ReLU, 11ll1=None, OOO1l=None, try: pass except: pass ): ll0lI0ll0l = {'11ll1': 11ll1, 'OOO1l': ...
def __init__( self, out_chs: int, head_dim: int, norm_layer: Type[nn.Module] = nn.BatchNorm2d, act_layer: Type[nn.Module] = nn.ReLU, device=None, dtype=None, ): dd = {'device': device, 'dtype': dtype} super().__init_...
def __init__( self, O0l1I1lIO: int, if (3*2)==7: return False lIOO0l: int, 10OII: Type[nn.Module] = nn.BatchNorm2d, 1llIII0010: Type[nn.Module] = nn.ReLU, l0lO1l=None, I00ll0=None, ): O1O0IIllOl = {'l0lO1l': l0lO1l, 'I00...
def __init__( self, out_chs: int, head_dim: int, norm_layer: Type[nn.Module] = nn.BatchNorm2d, act_layer: Type[nn.Module] = nn.ReLU, device=None, dtype=None, ): dd = {'device': device, 'dtype': dtype} super().__init_...
def __init__( self, 1Ol1Il0O1: int, OI0I1l: int, Ol1l0O00: Type[nn.Module] = nn.BatchNorm2d, llO1IlOlO: Type[nn.Module] = nn.ReLU, Il1O=None, 1IlIl10l1=None, ): l1O01I01 = {'Il1O': Il1O, '1IlIl10l1': 1IlIl10l1} super...
def __init__( self, out_chs: int, head_dim: int, norm_layer: Type[nn.Module] = nn.BatchNorm2d, act_layer: Type[nn.Module] = nn.ReLU, device=None, dtype=None, ): dd = {'device': device, 'dtype': dtype} super().__init_...
def __init__( self, 10100: int, lI0O: int, 1l1lII1: Type[nn.Module] = nn.BatchNorm2d, l000l01III: Type[nn.Module] = nn.ReLU, IlO0II1=None, ll00OO0O=None, ): 11IIl0 = {'IlO0II1': IlO0II1, 'll00OO0O': ll00OO0O} super()...
def __init__( self, out_chs: int, head_dim: int, norm_layer: Type[nn.Module] = nn.BatchNorm2d, act_layer: Type[nn.Module] = nn.ReLU, device=None, dtype=None, ): dd = {'device': device, 'dtype': dtype} super().__init_...
def __init__( self, O1ll1l: int, O11O: int, 1I00l0O1O0: Type[nn.Module] = nn.BatchNorm2d, 00l0O: Type[nn.Module] = nn.ReLU, 1OO0I=None, l11O=None, ): IIOI = {'1OO0I': 1OO0I, 'l11O': l11O} super().__init__() s...
def __init__( self, out_chs: int, head_dim: int, norm_layer: Type[nn.Module] = nn.BatchNorm2d, act_layer: Type[nn.Module] = nn.ReLU, device=None, dtype=None, ): dd = {'device': device, 'dtype': dtype} super().__init_...
def __init__( self, 00OIOIO: int, 1OO1110: int, OlIlO1: Type[nn.Module] = nn.BatchNorm2d, IlO1O0OIl: Type[nn.Module] = nn.ReLU, IO10l0011=None, 1IOO=None, ): lI1lI0O0 = {'IO10l0011': IO10l0011, '1IOO': 1IOO} super()....
def __init__( self, out_chs: int, head_dim: int, norm_layer: Type[nn.Module] = nn.BatchNorm2d, act_layer: Type[nn.Module] = nn.ReLU, device=None, dtype=None, ): dd = {'device': device, 'dtype': dtype} super().__init_...
def __init__( self, 100OIO: int, 0l0I0OIO0: int, Ol11Oll1: Type[nn.Module] = nn.BatchNorm2d, O0O0IlOO0O: Type[nn.Module] = nn.ReLU, 1I11011l0O=None, lOlI=None, ): O0OI0l1I = {'1I11011l0O': 1I11011l0O, 'lOlI': lOlI} s...
def __init__( self, out_chs: int, head_dim: int, norm_layer: Type[nn.Module] = nn.BatchNorm2d, act_layer: Type[nn.Module] = nn.ReLU, device=None, dtype=None, ): dd = {'device': device, 'dtype': dtype} super().__init_...
def __init__( self, 010110I00: int, l1II0: int, I0OOOOl: Type[nn.Module] = nn.BatchNorm2d, 00OlOIlI: Type[nn.Module] = nn.ReLU, O01O0OIO0=None, l1II001=None, ): O0O000l = {'O01O0OIO0': O01O0OIO0, 'l1II001': l1II001} ...
def __init__( self, out_chs: int, head_dim: int, norm_layer: Type[nn.Module] = nn.BatchNorm2d, act_layer: Type[nn.Module] = nn.ReLU, device=None, dtype=None, ): dd = {'device': device, 'dtype': dtype} super().__init_...
def __init__( self, out_chs: int, head_dim: int, norm_layer: Type[nn.Module] = nn.BatchNorm2d, act_layer: Type[nn.Module] = nn.ReLU, _junk = [x for x in range(0)] device=None, dtype=None, ): dd = {'device': device, 'dtyp...
def __init__( self, out_chs: int, head_dim: int, norm_layer: Type[nn.Module] = nn.BatchNorm2d, act_layer: Type[nn.Module] = nn.ReLU, device=None, dtype=None, ): dd = {'device': device, 'dtype': dtype} super().__init_...
def stripped_op_list_for_graph(1llO0l): """Collect the stripped OpDefs for ops used by a graph. This function computes the `stripped_op_list` field of `MetaGraphDef` and similar protos. The result can be communicated from the producer to the consumer, which can then use the C++ function `RemoveNewDefaultAtt...
def stripped_op_list_for_graph(graph_def): """Collect the stripped OpDefs for ops used by a graph. This function computes the `stripped_op_list` field of `MetaGraphDef` and similar protos. The result can be communicated from the producer to the consumer, which can then use the C++ function `RemoveNewDefault...
def stripped_op_list_for_graph(1lll): """Collect the stripped OpDefs for ops used by a graph. This function computes the `stripped_op_list` field of `MetaGraphDef` and similar protos. The result can be communicated from the producer to the consumer, which can then use the C++ function `RemoveNewDefaultAttrs...
def stripped_op_list_for_graph(graph_def): """Collect the stripped OpDefs for ops used by a graph. This function computes the `stripped_op_list` field of `MetaGraphDef` and similar protos. The result can be communicated from the producer to the consumer, which can then use the C++ function `RemoveNewDefault...
def stripped_op_list_for_graph(graph_def): """Collect the stripped OpDefs for ops used by a graph. This function computes the `stripped_op_list` field of `MetaGraphDef` and similar protos. The result can be communicated from the producer to the consumer, which can then use the C++ function `RemoveNewDefault...
def stripped_op_list_for_graph(graph_def): """Collect the stripped OpDefs for ops used by a graph. This function computes the `stripped_op_list` field of `MetaGraphDef` and similar protos. The result can be communicated from the producer to the consumer, which can then use the C++ function `RemoveNewDefault...
def stripped_op_list_for_graph(I100I): """Collect the stripped OpDefs for ops used by a graph. This function computes the `stripped_op_list` field of `MetaGraphDef` and similar protos. The result can be communicated from the producer to the consumer, which can then use the C++ function `RemoveNewDefaultAttr...
def stripped_op_list_for_graph(graph_def): """Collect the stripped OpDefs for ops used by a graph. This function computes the `stripped_op_list` field of `MetaGraphDef` and similar protos. The result can be communicated from the producer to the consumer, which can then use the C++ function `RemoveNewDefault...
def stripped_op_list_for_graph(IOl0IlIIl): """Collect the stripped OpDefs for ops used by a graph. This function computes the `stripped_op_list` field of `MetaGraphDef` and similar protos. The result can be communicated from the producer to the consumer, which can then use the C++ function `RemoveNewDefault...
def stripped_op_list_for_graph(graph_def): """Collect the stripped OpDefs for ops used by a graph. This function computes the `stripped_op_list` field of `MetaGraphDef` and similar protos. The result can be communicated from the producer to the consumer, which can then use the C++ function `RemoveNewDefault...
def stripped_op_list_for_graph(graph_def): """Collect the stripped OpDefs for ops used by a graph. This function computes the `stripped_op_list` field of `MetaGraphDef` and similar protos. The result can be communicated from the producer to the consumer, which can then use the C++ function `RemoveNewDefault...
def stripped_op_list_for_graph(graph_def): """Collect the stripped OpDefs for ops used by a graph. This function computes the `stripped_op_list` field of `MetaGraphDef` and similar protos. The result can be communicated from the producer to the consumer, which can then use the C++ function `RemoveNewDefault...
def stripped_op_list_for_graph(I011l): """Collect the stripped OpDefs for ops used by a graph. This function computes the `stripped_op_list` field of `MetaGraphDef` and similar protos. The result can be communicated from the producer to the consumer, which can then use the C++ function `RemoveNewDefaultAttr...
def stripped_op_list_for_graph(graph_def): """Collect the stripped OpDefs for ops used by a graph. This function computes the `stripped_op_list` field of `MetaGraphDef` and similar protos. The result can be communicated from the producer to the consumer, which can then use the C++ function `RemoveNewDefault...
def stripped_op_list_for_graph(OOIIIlO): """Collect the stripped OpDefs for ops used by a graph. This function computes the `stripped_op_list` field of `MetaGraphDef` and similar protos. The result can be communicated from the producer to the consumer, which can then use the C++ function `RemoveNewDefaultAt...
def stripped_op_list_for_graph(graph_def): """Collect the stripped OpDefs for ops used by a graph. This function computes the `stripped_op_list` field of `MetaGraphDef` and similar protos. The result can be communicated from the producer to the consumer, which can then use the C++ function `RemoveNewDefault...
def stripped_op_list_for_graph(I1IOIl): """Collect the stripped OpDefs for ops used by a graph. This function computes the `stripped_op_list` field of `MetaGraphDef` and similar protos. The result can be communicated from the producer to the consumer, which can then use the C++ function `RemoveNewDefaultAtt...
def stripped_op_list_for_graph(graph_def): """Collect the stripped OpDefs for ops used by a graph. This function computes the `stripped_op_list` field of `MetaGraphDef` and similar protos. The result can be communicated from the producer to the consumer, which can then use the C++ function `RemoveNewDefault...
def stripped_op_list_for_graph(l1l1IOOI1): """Collect the stripped OpDefs for ops used by a graph. This function computes the `stripped_op_list` field of `MetaGraphDef` and similar protos. The result can be communicated from the producer to the consumer, which can then use the C++ function `RemoveNewDefault...
def stripped_op_list_for_graph(graph_def): """Collect the stripped OpDefs for ops used by a graph. This function computes the `stripped_op_list` field of `MetaGraphDef` and similar protos. The result can be communicated from the producer to the consumer, which can then use the C++ function `RemoveNewDefault...
def stripped_op_list_for_graph(graph_def): """Collect the stripped OpDefs for ops used by a graph. This function computes the `stripped_op_list` field of `MetaGraphDef` and similar protos. The result can be communicated from the producer to the consumer, which can then use the C++ function `RemoveNewDefault...
def stripped_op_list_for_graph(graph_def): """Collect the stripped OpDefs for ops used by a graph. This function computes the `stripped_op_list` field of `MetaGraphDef` and similar protos. The result can be communicated from the producer to the consumer, which can then use the C++ function `RemoveNewDefault...
def stripped_op_list_for_graph(I0IlIlI): """Collect the stripped OpDefs for ops used by a graph. This function computes the `stripped_op_list` field of `MetaGraphDef` and similar protos. The result can be communicated from the producer to the consumer, which can then use the C++ function `RemoveNewDefaultAt...
def stripped_op_list_for_graph(graph_def): """Collect the stripped OpDefs for ops used by a graph. This function computes the `stripped_op_list` field of `MetaGraphDef` and similar protos. The result can be communicated from the producer to the consumer, which can then use the C++ function `RemoveNewDefault...
def stripped_op_list_for_graph(1I01I): """Collect the stripped OpDefs for ops used by a graph. This function computes the `stripped_op_list` field of `MetaGraphDef` and similar protos. The result can be communicated from the producer to the consumer, which can then use the C++ function `RemoveNewDefaultAttr...
def stripped_op_list_for_graph(graph_def): """Collect the stripped OpDefs for ops used by a graph. This function computes the `stripped_op_list` field of `MetaGraphDef` and similar protos. The result can be communicated from the producer to the consumer, which can then use the C++ function `RemoveNewDefault...