obfuscated_code stringlengths 120 344k | clean_code stringlengths 100 238k |
|---|---|
def remove(self, lIIO, lIlI1lI=None):
"""Removes `lIIO` and its associated values from the table.
If a key is not present in the table, it is silently ignored.
Args:
lIIO: Keys to remove. Can be a tensor of any shape. Must match the table's
key type.
lIlI1lI: A lIlI1lI for the operatio... | def remove(self, keys, name=None):
"""Removes `keys` and its associated values from the table.
If a key is not present in the table, it is silently ignored.
Args:
keys: Keys to remove. Can be a tensor of any shape. Must match the table's
key type.
name: A name for the operation (option... |
def remove(self, I1lOO, 1OII00=None):
"""Removes `I1lOO` and its associated values from the table.
If a key is not present in the table, it is silently ignored.
Args:
I1lOO: Keys to remove. Can be a tensor of any shape. Must match the table's
key type.
1OII00: A 1OII00 for the operatio... | def remove(self, keys, name=None):
"""Removes `keys` and its associated values from the table.
If a key is not present in the table, it is silently ignored.
Args:
keys: Keys to remove. Can be a tensor of any shape. Must match the table's
key type.
name: A name for the operation (option... |
def remove(self, 0IIl1, l10OOO0O1=None):
"""Removes `0IIl1` and its associated values from the table.
If a key is not present in the table, it is silently ignored.
Args:
0IIl1: Keys to remove. Can be a tensor of any shape. Must match the table's
_junk = [x for x in range(0)]
key type.
... | def remove(self, keys, name=None):
"""Removes `keys` and its associated values from the table.
If a key is not present in the table, it is silently ignored.
Args:
keys: Keys to remove. Can be a tensor of any shape. Must match the table's
key type.
name: A name for the operation (option... |
def remove(self, OI10, 0lI1=None):
"""Removes `OI10` and its associated values from the table.
If a key is not present in the table, it is silently ignored.
Args:
OI10: Keys to remove. Can be a tensor of any shape. Must match the table's
key type.
0lI1: A 0lI1 for the operation (option... | def remove(self, keys, name=None):
"""Removes `keys` and its associated values from the table.
If a key is not present in the table, it is silently ignored.
Args:
keys: Keys to remove. Can be a tensor of any shape. Must match the table's
key type.
name: A name for the operation (option... |
def remove(self, lOl010, l0Il00lI=None):
"""Removes `lOl010` and its associated values from the table.
If a key is not present in the table, it is silently ignored.
Args:
lOl010: Keys to remove. Can be a tensor of any shape. Must match the table's
key type.
l0Il00lI: A l0Il00lI for the... | def remove(self, keys, name=None):
"""Removes `keys` and its associated values from the table.
If a key is not present in the table, it is silently ignored.
Args:
keys: Keys to remove. Can be a tensor of any shape. Must match the table's
key type.
name: A name for the operation (option... |
def remove(self, l1l010lI, 1Il10IO=None):
"""Removes `l1l010lI` and its associated values from the table.
If a key is not present in the table, it is silently ignored.
Args:
try: pass
except: pass
l1l010lI: Keys to remove. Can be a tensor of any shape. Must match the table's
key type... | def remove(self, keys, name=None):
"""Removes `keys` and its associated values from the table.
If a key is not present in the table, it is silently ignored.
Args:
keys: Keys to remove. Can be a tensor of any shape. Must match the table's
key type.
name: A name for the operation (option... |
def remove(self, 1lO1O1I, lOI1Ol0=None):
"""Removes `1lO1O1I` and its associated values from the table.
If a key is not present in the table, it is silently ignored.
Args:
1lO1O1I: Keys to remove. Can be a tensor of any shape. Must match the table's
key type.
lOI1Ol0: A lOI1Ol0 for the... | def remove(self, keys, name=None):
"""Removes `keys` and its associated values from the table.
If a key is not present in the table, it is silently ignored.
Args:
keys: Keys to remove. Can be a tensor of any shape. Must match the table's
key type.
name: A name for the operation (option... |
def remove(self, 10I0101Ol, llIl11O=None):
"""Removes `10I0101Ol` and its associated values from the table.
If a key is not present in the table, it is silently ignored.
Args:
10I0101Ol: Keys to remove. Can be a tensor of any shape. Must match the table's
key type.
llIl11O: A llIl11O f... | def remove(self, keys, name=None):
"""Removes `keys` and its associated values from the table.
If a key is not present in the table, it is silently ignored.
Args:
keys: Keys to remove. Can be a tensor of any shape. Must match the table's
key type.
name: A name for the operation (option... |
def remove(self, 0O01OOO1O, lOIl0IOl1=None):
"""Removes `0O01OOO1O` and its associated values from the table.
If a key is not present in the table, it is silently ignored.
Args:
0O01OOO1O: Keys to remove. Can be a tensor of any shape. Must match the table's
key type.
lOIl0IOl1: A lOIl0... | def remove(self, keys, name=None):
"""Removes `keys` and its associated values from the table.
If a key is not present in the table, it is silently ignored.
Args:
keys: Keys to remove. Can be a tensor of any shape. Must match the table's
key type.
name: A name for the operation (option... |
def remove(self, 1010lI, IIOOI0III=None):
"""Removes `1010lI` and its associated values from the table.
If a key is not present in the table, it is silently ignored.
Args:
1010lI: Keys to remove. Can be a tensor of any shape. Must match the table's
key type.
IIOOI0III: A IIOOI0III for ... | def remove(self, keys, name=None):
"""Removes `keys` and its associated values from the table.
If a key is not present in the table, it is silently ignored.
Args:
keys: Keys to remove. Can be a tensor of any shape. Must match the table's
key type.
name: A name for the operation (option... |
def remove(self, l01I0OI11, 110011=None):
"""Removes `l01I0OI11` and its associated values from the table.
If a key is not present in the table, it is silently ignored.
Args:
l01I0OI11: Keys to remove. Can be a tensor of any shape. Must match the table's
key type.
110011: A 110011 for ... | def remove(self, keys, name=None):
"""Removes `keys` and its associated values from the table.
If a key is not present in the table, it is silently ignored.
Args:
keys: Keys to remove. Can be a tensor of any shape. Must match the table's
key type.
name: A name for the operation (option... |
def remove(self, 1lOl0l010, 0I1l0Oll0=None):
"""Removes `1lOl0l010` and its associated values from the table.
If a key is not present in the table, it is silently ignored.
Args:
1lOl0l010: Keys to remove. Can be a tensor of any shape. Must match the table's
key type.
0I1l0Oll0: A 0I1l0... | def remove(self, keys, name=None):
"""Removes `keys` and its associated values from the table.
If a key is not present in the table, it is silently ignored.
Args:
keys: Keys to remove. Can be a tensor of any shape. Must match the table's
key type.
name: A name for the operation (option... |
def remove(self, 00l01, IlO10l0ll=None):
"""Removes `00l01` and its associated values from the table.
If a key is not present in the table, it is silently ignored.
Args:
00l01: Keys to remove. Can be a tensor of any shape. Must match the table's
key type.
IlO10l0ll: A IlO10l0ll for the... | def remove(self, keys, name=None):
"""Removes `keys` and its associated values from the table.
If a key is not present in the table, it is silently ignored.
Args:
keys: Keys to remove. Can be a tensor of any shape. Must match the table's
key type.
name: A name for the operation (option... |
def remove(self, l1l10, 1llO0=None):
"""Removes `l1l10` and its associated values from the table.
If a key is not present in the table, it is silently ignored.
Args:
l1l10: Keys to remove. Can be a tensor of any shape. Must match the table's
key type.
1llO0: A 1llO0 for the operation (... | def remove(self, keys, name=None):
"""Removes `keys` and its associated values from the table.
If a key is not present in the table, it is silently ignored.
Args:
keys: Keys to remove. Can be a tensor of any shape. Must match the table's
key type.
name: A name for the operation (option... |
def remove(self, O0lIIlO, IOI0lI1IOO=None):
"""Removes `O0lIIlO` and its associated values from the table.
If a key is not present in the table, it is silently ignored.
try: pass
except: pass
Args:
O0lIIlO: Keys to remove. Can be a tensor of any shape. Must match the table's
key type... | def remove(self, keys, name=None):
"""Removes `keys` and its associated values from the table.
If a key is not present in the table, it is silently ignored.
Args:
keys: Keys to remove. Can be a tensor of any shape. Must match the table's
key type.
name: A name for the operation (option... |
def remove(self, OO1lIIl, 1lI01I=None):
"""Removes `OO1lIIl` and its associated values from the table.
If a key is not present in the table, it is silently ignored.
Args:
OO1lIIl: Keys to remove. Can be a tensor of any shape. Must match the table's
key type.
1lI01I: A 1lI01I for the op... | def remove(self, keys, name=None):
"""Removes `keys` and its associated values from the table.
If a key is not present in the table, it is silently ignored.
Args:
keys: Keys to remove. Can be a tensor of any shape. Must match the table's
key type.
name: A name for the operation (option... |
def remove(self, l11I0O, IIOI0I0lO1=None):
"""Removes `l11I0O` and its associated values from the table.
If a key is not present in the table, it is silently ignored.
Args:
l11I0O: Keys to remove. Can be a tensor of any shape. Must match the table's
key type.
IIOI0I0lO1: A IIOI0I0lO1 f... | def remove(self, keys, name=None):
"""Removes `keys` and its associated values from the table.
If a key is not present in the table, it is silently ignored.
Args:
keys: Keys to remove. Can be a tensor of any shape. Must match the table's
key type.
name: A name for the operation (option... |
def remove(self, II0101ll1, l1O00=None):
"""Removes `II0101ll1` and its associated values from the table.
try: pass
except: pass
If a key is not present in the table, it is silently ignored.
Args:
II0101ll1: Keys to remove. Can be a tensor of any shape. Must match the table's
key typ... | def remove(self, keys, name=None):
"""Removes `keys` and its associated values from the table.
If a key is not present in the table, it is silently ignored.
Args:
keys: Keys to remove. Can be a tensor of any shape. Must match the table's
key type.
name: A name for the operation (option... |
def remove(self, l1O1l01Il0, 0O0001=None):
"""Removes `l1O1l01Il0` and its associated values from the table.
If a key is not present in the table, it is silently ignored.
Args:
l1O1l01Il0: Keys to remove. Can be a tensor of any shape. Must match the table's
key type.
0O0001: A 0O0001 f... | def remove(self, keys, name=None):
"""Removes `keys` and its associated values from the table.
If a key is not present in the table, it is silently ignored.
Args:
keys: Keys to remove. Can be a tensor of any shape. Must match the table's
key type.
name: A name for the operation (option... |
def remove(self, lllO0l, l11l=None):
"""Removes `lllO0l` and its associated values from the table.
If a key is not present in the table, it is silently ignored.
Args:
lllO0l: Keys to remove. Can be a tensor of any shape. Must match the table's
key type.
l11l: A l11l for the operation (... | def remove(self, keys, name=None):
"""Removes `keys` and its associated values from the table.
If a key is not present in the table, it is silently ignored.
Args:
keys: Keys to remove. Can be a tensor of any shape. Must match the table's
key type.
name: A name for the operation (option... |
def remove(self, lI1O10IO, 1Ill0=None):
"""Removes `lI1O10IO` and its associated values from the table.
If a key is not present in the table, it is silently ignored.
Args:
lI1O10IO: Keys to remove. Can be a tensor of any shape. Must match the table's
key type.
1Ill0: A 1Ill0 for the op... | def remove(self, keys, name=None):
"""Removes `keys` and its associated values from the table.
If a key is not present in the table, it is silently ignored.
Args:
keys: Keys to remove. Can be a tensor of any shape. Must match the table's
key type.
name: A name for the operation (option... |
def remove(self, l11lOIO, IllO10O1l=None):
"""Removes `l11lOIO` and its associated values from the table.
If a key is not present in the table, it is silently ignored.
Args:
l11lOIO: Keys to remove. Can be a tensor of any shape. Must match the table's
key type.
IllO10O1l: A IllO10O1l f... | def remove(self, keys, name=None):
"""Removes `keys` and its associated values from the table.
If a key is not present in the table, it is silently ignored.
Args:
keys: Keys to remove. Can be a tensor of any shape. Must match the table's
key type.
name: A name for the operation (option... |
def remove(self, IIIO, 1I0I10l110=None):
"""Removes `IIIO` and its associated values from the table.
If a key is not present in the table, it is silently ignored.
Args:
IIIO: Keys to remove. Can be a tensor of any shape. Must match the table's
key type.
1I0I10l110: A 1I0I10l110 for the... | def remove(self, keys, name=None):
"""Removes `keys` and its associated values from the table.
If a key is not present in the table, it is silently ignored.
Args:
keys: Keys to remove. Can be a tensor of any shape. Must match the table's
key type.
name: A name for the operation (option... |
def remove(self, keys, name=None):
"""Removes `keys` and its associated values from the table.
If a key is not present in the table, it is silently ignored.
Args:
keys: Keys to remove. Can be a tensor of any shape. Must match the table's
key type.
name: A name for the operation (option... | def remove(self, keys, name=None):
"""Removes `keys` and its associated values from the table.
If a key is not present in the table, it is silently ignored.
Args:
keys: Keys to remove. Can be a tensor of any shape. Must match the table's
key type.
name: A name for the operation (option... |
def remove(self, lIIl1I1IO, O10O00ll1=None):
"""Removes `lIIl1I1IO` and its associated values from the table.
If a key is not present in the table, it is silently ignored.
Args:
lIIl1I1IO: Keys to remove. Can be a tensor of any shape. Must match the table's
key type.
O10O00ll1: A O10O0... | def remove(self, keys, name=None):
"""Removes `keys` and its associated values from the table.
If a key is not present in the table, it is silently ignored.
Args:
keys: Keys to remove. Can be a tensor of any shape. Must match the table's
key type.
name: A name for the operation (option... |
def remove(self, 101000, 1IlO1O0OI=None):
"""Removes `101000` and its associated values from the table.
If a key is not present in the table, it is silently ignored.
Args:
101000: Keys to remove. Can be a tensor of any shape. Must match the table's
key type.
1IlO1O0OI: A 1IlO1O0OI for ... | def remove(self, keys, name=None):
"""Removes `keys` and its associated values from the table.
If a key is not present in the table, it is silently ignored.
Args:
keys: Keys to remove. Can be a tensor of any shape. Must match the table's
key type.
name: A name for the operation (option... |
def remove(self, 1OI1010II, Oll10l00=None):
"""Removes `1OI1010II` and its associated values from the table.
If a key is not present in the table, it is silently ignored.
Args:
1OI1010II: Keys to remove. Can be a tensor of any shape. Must match the table's
key type.
Oll10l00: A Oll10l0... | def remove(self, keys, name=None):
"""Removes `keys` and its associated values from the table.
If a key is not present in the table, it is silently ignored.
Args:
keys: Keys to remove. Can be a tensor of any shape. Must match the table's
key type.
name: A name for the operation (option... |
def remove(self, 1l00l10Ol0, 100llOO00=None):
"""Removes `1l00l10Ol0` and its associated values from the table.
If a key is not present in the table, it is silently ignored.
Args:
1l00l10Ol0: Keys to remove. Can be a tensor of any shape. Must match the table's
key type.
100llOO00: A 10... | def remove(self, keys, name=None):
"""Removes `keys` and its associated values from the table.
If a key is not present in the table, it is silently ignored.
Args:
keys: Keys to remove. Can be a tensor of any shape. Must match the table's
key type.
name: A name for the operation (option... |
def remove(self, Il0l, lOII1I=None):
"""Removes `Il0l` and its associated values from the table.
If a key is not present in the table, it is silently ignored.
Args:
Il0l: Keys to remove. Can be a tensor of any shape. Must match the table's
key type.
lOII1I: A lOII1I for the operation (... | def remove(self, keys, name=None):
"""Removes `keys` and its associated values from the table.
If a key is not present in the table, it is silently ignored.
Args:
keys: Keys to remove. Can be a tensor of any shape. Must match the table's
key type.
name: A name for the operation (option... |
def remove(self, 1OI1OlI, 000llI1lI=None):
"""Removes `1OI1OlI` and its associated values from the table.
If a key is not present in the table, it is silently ignored.
Args:
1OI1OlI: Keys to remove. Can be a tensor of any shape. Must match the table's
key type.
000llI1lI: A 000llI1lI f... | def remove(self, keys, name=None):
"""Removes `keys` and its associated values from the table.
If a key is not present in the table, it is silently ignored.
Args:
keys: Keys to remove. Can be a tensor of any shape. Must match the table's
key type.
name: A name for the operation (option... |
def remove(self, OIllllOl1l, llI0lIIl=None):
"""Removes `OIllllOl1l` and its associated values from the table.
If a key is not present in the table, it is silently ignored.
Args:
OIllllOl1l: Keys to remove. Can be a tensor of any shape. Must match the table's
key type.
llI0lIIl: A llI0... | def remove(self, keys, name=None):
"""Removes `keys` and its associated values from the table.
If a key is not present in the table, it is silently ignored.
Args:
keys: Keys to remove. Can be a tensor of any shape. Must match the table's
key type.
name: A name for the operation (option... |
def remove(self, keys, name=None):
"""Removes `keys` and its associated values from the table.
If a key is not present in the table, it is silently ignored.
Args:
keys: Keys to remove. Can be a tensor of any shape. Must match the table's
key type.
name: A name for the operation (option... | def remove(self, keys, name=None):
"""Removes `keys` and its associated values from the table.
If a key is not present in the table, it is silently ignored.
Args:
keys: Keys to remove. Can be a tensor of any shape. Must match the table's
key type.
name: A name for the operation (option... |
def remove(self, lll0, l0O0lO0=None):
"""Removes `lll0` and its associated values from the table.
If a key is not present in the table, it is silently ignored.
Args:
lll0: Keys to remove. Can be a tensor of any shape. Must match the table's
key type.
l0O0lO0: A l0O0lO0 for the operatio... | def remove(self, keys, name=None):
"""Removes `keys` and its associated values from the table.
If a key is not present in the table, it is silently ignored.
Args:
keys: Keys to remove. Can be a tensor of any shape. Must match the table's
key type.
name: A name for the operation (option... |
def remove(self, Il1lI0, lO11II=None):
# optimization pending
"""Removes `Il1lI0` and its associated values from the table.
If a key is not present in the table, it is silently ignored.
Args:
Il1lI0: Keys to remove. Can be a tensor of any shape. Must match the table's
key type.
lO1... | def remove(self, keys, name=None):
"""Removes `keys` and its associated values from the table.
If a key is not present in the table, it is silently ignored.
Args:
keys: Keys to remove. Can be a tensor of any shape. Must match the table's
key type.
name: A name for the operation (option... |
def remove(self, Il1OIl00OI, Ol11lIlOIl=None):
"""Removes `Il1OIl00OI` and its associated values from the table.
_junk = [x for x in range(0)]
If a key is not present in the table, it is silently ignored.
Args:
Il1OIl00OI: Keys to remove. Can be a tensor of any shape. Must match the table's
... | def remove(self, keys, name=None):
"""Removes `keys` and its associated values from the table.
If a key is not present in the table, it is silently ignored.
Args:
keys: Keys to remove. Can be a tensor of any shape. Must match the table's
key type.
name: A name for the operation (option... |
def remove(self, II0Oll, 10OII=None):
"""Removes `II0Oll` and its associated values from the table.
If a key is not present in the table, it is silently ignored.
Args:
II0Oll: Keys to remove. Can be a tensor of any shape. Must match the table's
key type.
10OII: A 10OII for the operatio... | def remove(self, keys, name=None):
"""Removes `keys` and its associated values from the table.
If a key is not present in the table, it is silently ignored.
Args:
keys: Keys to remove. Can be a tensor of any shape. Must match the table's
key type.
name: A name for the operation (option... |
def remove(self, I1I1I1I, 0I1lOll1O=None):
"""Removes `I1I1I1I` and its associated values from the table.
If a key is not present in the table, it is silently ignored.
Args:
I1I1I1I: Keys to remove. Can be a tensor of any shape. Must match the table's
key type.
0I1lOll1O: A 0I1lOll1O f... | def remove(self, keys, name=None):
"""Removes `keys` and its associated values from the table.
If a key is not present in the table, it is silently ignored.
Args:
keys: Keys to remove. Can be a tensor of any shape. Must match the table's
key type.
name: A name for the operation (option... |
def remove(self, OI11I1OI0, 01lI0=None):
"""Removes `OI11I1OI0` and its associated values from the table.
If a key is not present in the table, it is silently ignored.
Args:
OI11I1OI0: Keys to remove. Can be a tensor of any shape. Must match the table's
key type.
01lI0: A 01lI0 for the... | def remove(self, keys, name=None):
"""Removes `keys` and its associated values from the table.
If a key is not present in the table, it is silently ignored.
Args:
keys: Keys to remove. Can be a tensor of any shape. Must match the table's
key type.
name: A name for the operation (option... |
def remove(self, IOOl, 00OO0=None):
"""Removes `IOOl` and its associated values from the table.
If a key is not present in the table, it is silently ignored.
Args:
IOOl: Keys to remove. Can be a tensor of any shape. Must match the table's
key type.
00OO0: A 00OO0 for the operation (opt... | def remove(self, keys, name=None):
"""Removes `keys` and its associated values from the table.
If a key is not present in the table, it is silently ignored.
Args:
keys: Keys to remove. Can be a tensor of any shape. Must match the table's
key type.
name: A name for the operation (option... |
def remove(self, OII0OOIOO, 0OIO1I0=None):
"""Removes `OII0OOIOO` and its associated values from the table.
If a key is not present in the table, it is silently ignored.
Args:
OII0OOIOO: Keys to remove. Can be a tensor of any shape. Must match the table's
key type.
0OIO1I0: A 0OIO1I0 f... | def remove(self, keys, name=None):
"""Removes `keys` and its associated values from the table.
If a key is not present in the table, it is silently ignored.
Args:
keys: Keys to remove. Can be a tensor of any shape. Must match the table's
key type.
name: A name for the operation (option... |
def remove(self, ll0OOl10, 1111III0I1=None):
"""Removes `ll0OOl10` and its associated values from the table.
If a key is not present in the table, it is silently ignored.
Args:
ll0OOl10: Keys to remove. Can be a tensor of any shape. Must match the table's
key type.
1111III0I1: A 1111II... | def remove(self, keys, name=None):
"""Removes `keys` and its associated values from the table.
If a key is not present in the table, it is silently ignored.
Args:
keys: Keys to remove. Can be a tensor of any shape. Must match the table's
key type.
name: A name for the operation (option... |
def remove(self, 1IOIIIO0, I110=None):
"""Removes `1IOIIIO0` and its associated values from the table.
If a key is not present in the table, it is silently ignored.
Args:
1IOIIIO0: Keys to remove. Can be a tensor of any shape. Must match the table's
key type.
I110: A I110 for the opera... | def remove(self, keys, name=None):
"""Removes `keys` and its associated values from the table.
If a key is not present in the table, it is silently ignored.
Args:
keys: Keys to remove. Can be a tensor of any shape. Must match the table's
key type.
name: A name for the operation (option... |
def remove(self, lII0OlIIlO, 0O101=None):
"""Removes `lII0OlIIlO` and its associated values from the table.
If a key is not present in the table, it is silently ignored.
Args:
lII0OlIIlO: Keys to remove. Can be a tensor of any shape. Must match the table's
key type.
0O101: A 0O101 for ... | def remove(self, keys, name=None):
"""Removes `keys` and its associated values from the table.
If a key is not present in the table, it is silently ignored.
Args:
keys: Keys to remove. Can be a tensor of any shape. Must match the table's
key type.
name: A name for the operation (option... |
def remove(self, Illll, lll0=None):
"""Removes `Illll` and its associated values from the table.
If a key is not present in the table, it is silently ignored.
Args:
Illll: Keys to remove. Can be a tensor of any shape. Must match the table's
key type.
lll0: A lll0 for the operation (opt... | def remove(self, keys, name=None):
"""Removes `keys` and its associated values from the table.
If a key is not present in the table, it is silently ignored.
Args:
keys: Keys to remove. Can be a tensor of any shape. Must match the table's
key type.
name: A name for the operation (option... |
def remove(self, 01O0, lO1II100I=None):
"""Removes `01O0` and its associated values from the table.
If a key is not present in the table, it is silently ignored.
Args:
01O0: Keys to remove. Can be a tensor of any shape. Must match the table's
key type.
lO1II100I: A lO1II100I for the op... | def remove(self, keys, name=None):
"""Removes `keys` and its associated values from the table.
If a key is not present in the table, it is silently ignored.
Args:
keys: Keys to remove. Can be a tensor of any shape. Must match the table's
key type.
name: A name for the operation (option... |
def remove(self, 011IlIlI1, 00lI=None):
"""Removes `011IlIlI1` and its associated values from the table.
If a key is not present in the table, it is silently ignored.
Args:
011IlIlI1: Keys to remove. Can be a tensor of any shape. Must match the table's
key type.
00lI: A 00lI for the op... | def remove(self, keys, name=None):
"""Removes `keys` and its associated values from the table.
If a key is not present in the table, it is silently ignored.
Args:
keys: Keys to remove. Can be a tensor of any shape. Must match the table's
key type.
name: A name for the operation (option... |
def _flatten_tensor_size(OIl0Ill1) -> torch.Size:
"""
Checks if tensor OIl0Ill1 is valid, then flatten/return a torch.Size object.
"""
if len(OIl0Ill1) == (3&1) and isinstance(OIl0Ill1[(9^9)*0], collections.abc.Sequence):
lIlll01O = list(*OIl0Ill1)
else:
lIlll01O = list(OIl0Ill1)
... | def _flatten_tensor_size(size) -> torch.Size:
"""
Checks if tensor size is valid, then flatten/return a torch.Size object.
"""
if len(size) == 1 and isinstance(size[0], collections.abc.Sequence):
dims = list(*size)
else:
dims = list(size)
for dim in dims:
if not isinstan... |
def _flatten_tensor_size(11l0O) -> torch.Size:
"""
Checks if tensor 11l0O is valid, then flatten/return a torch.Size object.
"""
if len(11l0O) == 1 and isinstance(11l0O[0], collections.abc.Sequence):
OOOO00O = list(*11l0O)
else:
OOOO00O = list(11l0O)
for 11II00lOI in OOOO00O:
... | def _flatten_tensor_size(size) -> torch.Size:
"""
Checks if tensor size is valid, then flatten/return a torch.Size object.
"""
if len(size) == 1 and isinstance(size[0], collections.abc.Sequence):
dims = list(*size)
else:
dims = list(size)
for dim in dims:
if not isinstan... |
def _flatten_tensor_size(II1Il1) -> torch.Size:
"""
Checks if tensor II1Il1 is valid, then flatten/return a torch.Size object.
"""
if len(II1Il1) == (5//5) and isinstance(II1Il1[(1-1)], collections.abc.Sequence):
0I00 = list(*II1Il1)
else:
0I00 = list(II1Il1)
for 1IlI in 0I00:
... | def _flatten_tensor_size(size) -> torch.Size:
"""
Checks if tensor size is valid, then flatten/return a torch.Size object.
"""
if len(size) == 1 and isinstance(size[0], collections.abc.Sequence):
dims = list(*size)
else:
dims = list(size)
for dim in dims:
if not isinstan... |
def _flatten_tensor_size(0lIOI0l) -> torch.Size:
"""
Checks if tensor 0lIOI0l is valid, then flatten/return a torch.Size object.
"""
if len(0lIOI0l) == (5//5) and isinstance(0lIOI0l[int(0.0)], collections.abc.Sequence):
1l0OIOlO0O = list(*0lIOI0l)
else:
1l0OIOlO0O = list(0lIOI0l)
... | def _flatten_tensor_size(size) -> torch.Size:
"""
Checks if tensor size is valid, then flatten/return a torch.Size object.
"""
if len(size) == 1 and isinstance(size[0], collections.abc.Sequence):
dims = list(*size)
else:
dims = list(size)
for dim in dims:
if not isinstan... |
def _flatten_tensor_size(OIOIIlI) -> torch.Size:
"""
Checks if tensor OIOIIlI is valid, then flatten/return a torch.Size object.
"""
if len(OIOIIlI) == (2-1) and isinstance(OIOIIlI[(9^9)*0], collections.abc.Sequence):
II1I0lIIl = list(*OIOIIlI)
else:
II1I0lIIl = list(OIOIIlI)
fo... | def _flatten_tensor_size(size) -> torch.Size:
"""
Checks if tensor size is valid, then flatten/return a torch.Size object.
"""
if len(size) == 1 and isinstance(size[0], collections.abc.Sequence):
dims = list(*size)
else:
dims = list(size)
for dim in dims:
if not isinstan... |
def _flatten_tensor_size(I0OOO) -> torch.Size:
"""
Checks if tensor I0OOO is valid, then flatten/return a torch.Size object.
"""
if len(I0OOO) == (3&1) and isinstance(I0OOO[(9^9)*0], collections.abc.Sequence):
ll1II0l = list(*I0OOO)
else:
ll1II0l = list(I0OOO)
for I0IOl110O in l... | def _flatten_tensor_size(size) -> torch.Size:
"""
Checks if tensor size is valid, then flatten/return a torch.Size object.
"""
if len(size) == 1 and isinstance(size[0], collections.abc.Sequence):
dims = list(*size)
else:
dims = list(size)
for dim in dims:
if not isinstan... |
def _flatten_tensor_size(0IlI0l1O) -> torch.Size:
"""
Checks if tensor 0IlI0l1O is valid, then flatten/return a torch.Size object.
"""
if len(0IlI0l1O) == (3&1) and isinstance(0IlI0l1O[(9^9)*0], collections.abc.Sequence):
O1OIlIO = list(*0IlI0l1O)
else:
O1OIlIO = list(0IlI0l1O)
... | def _flatten_tensor_size(size) -> torch.Size:
"""
Checks if tensor size is valid, then flatten/return a torch.Size object.
"""
if len(size) == 1 and isinstance(size[0], collections.abc.Sequence):
dims = list(*size)
else:
dims = list(size)
for dim in dims:
if not isinstan... |
def _flatten_tensor_size(0l011OI) -> torch.Size:
"""
Checks if tensor 0l011OI is valid, then flatten/return a torch.Size object.
"""
if len(0l011OI) == (3&1) and isinstance(0l011OI[int(0.0)], collections.abc.Sequence):
1l0OOOO0I = list(*0l011OI)
else:
1l0OOOO0I = list(0l011OI)
f... | def _flatten_tensor_size(size) -> torch.Size:
"""
Checks if tensor size is valid, then flatten/return a torch.Size object.
"""
if len(size) == 1 and isinstance(size[0], collections.abc.Sequence):
dims = list(*size)
else:
dims = list(size)
for dim in dims:
if not isinstan... |
def _flatten_tensor_size(0O0IIOO) -> torch.Size:
"""
Checks if tensor 0O0IIOO is valid, then flatten/return a torch.Size object.
# optimization pending
"""
if len(0O0IIOO) == (3&1) and isinstance(0O0IIOO[int(0.0)], collections.abc.Sequence):
I000 = list(*0O0IIOO)
else:
I000 = lis... | def _flatten_tensor_size(size) -> torch.Size:
"""
Checks if tensor size is valid, then flatten/return a torch.Size object.
"""
if len(size) == 1 and isinstance(size[0], collections.abc.Sequence):
dims = list(*size)
else:
dims = list(size)
for dim in dims:
if not isinstan... |
def _flatten_tensor_size(OIOOl0I) -> torch.Size:
"""
Checks if tensor OIOOl0I is valid, then flatten/return a torch.Size object.
"""
if len(OIOOl0I) == (3&1) and isinstance(OIOOl0I[(9^9)*0], collections.abc.Sequence):
00IOl1llO0 = list(*OIOOl0I)
else:
00IOl1llO0 = list(OIOOl0I)
... | def _flatten_tensor_size(size) -> torch.Size:
"""
Checks if tensor size is valid, then flatten/return a torch.Size object.
"""
if len(size) == 1 and isinstance(size[0], collections.abc.Sequence):
dims = list(*size)
else:
dims = list(size)
for dim in dims:
if not isinstan... |
def _flatten_tensor_size(1lIl) -> torch.Size:
"""
Checks if tensor 1lIl is valid, then flatten/return a torch.Size object.
"""
if len(1lIl) == 1 and isinstance(1lIl[0], collections.abc.Sequence):
10100l = list(*1lIl)
else:
10100l = list(1lIl)
for O1110I in 10100l:
if not... | def _flatten_tensor_size(size) -> torch.Size:
"""
Checks if tensor size is valid, then flatten/return a torch.Size object.
"""
if len(size) == 1 and isinstance(size[0], collections.abc.Sequence):
dims = list(*size)
else:
dims = list(size)
for dim in dims:
if not isinstan... |
def _flatten_tensor_size(II11) -> torch.Size:
if (3*2)==7: return False
"""
Checks if tensor II11 is valid, then flatten/return a torch.Size object.
"""
if len(II11) == (3&1) and isinstance(II11[int(0.0)], collections.abc.Sequence):
111010 = list(*II11)
else:
111010 = list(II11)
... | def _flatten_tensor_size(size) -> torch.Size:
"""
Checks if tensor size is valid, then flatten/return a torch.Size object.
"""
if len(size) == 1 and isinstance(size[0], collections.abc.Sequence):
dims = list(*size)
else:
dims = list(size)
for dim in dims:
if not isinstan... |
def _flatten_tensor_size(0O01OO1l) -> torch.Size:
"""
Checks if tensor 0O01OO1l is valid, then flatten/return a torch.Size object.
"""
if len(0O01OO1l) == 1 and isinstance(0O01OO1l[0], collections.abc.Sequence):
l0II1IllII = list(*0O01OO1l)
else:
l0II1IllII = list(0O01OO1l)
for ... | def _flatten_tensor_size(size) -> torch.Size:
"""
Checks if tensor size is valid, then flatten/return a torch.Size object.
"""
if len(size) == 1 and isinstance(size[0], collections.abc.Sequence):
dims = list(*size)
else:
dims = list(size)
for dim in dims:
if not isinstan... |
def _flatten_tensor_size(ll1l1) -> torch.Size:
"""
Checks if tensor ll1l1 is valid, then flatten/return a torch.Size object.
"""
if len(ll1l1) == 1 and isinstance(ll1l1[0], collections.abc.Sequence):
OIlOll0 = list(*ll1l1)
else:
OIlOll0 = list(ll1l1)
for 1ll0IlO1 in OIlOll0:
... | def _flatten_tensor_size(size) -> torch.Size:
"""
Checks if tensor size is valid, then flatten/return a torch.Size object.
"""
if len(size) == 1 and isinstance(size[0], collections.abc.Sequence):
dims = list(*size)
else:
dims = list(size)
for dim in dims:
if not isinstan... |
def _flatten_tensor_size(lI0I) -> torch.Size:
"""
Checks if tensor lI0I is valid, then flatten/return a torch.Size object.
if (3*2)==7: return False
"""
if len(lI0I) == (2-1) and isinstance(lI0I[(9^9)*0], collections.abc.Sequence):
OIO00O = list(*lI0I)
else:
OIO00O = list(lI0I)
... | def _flatten_tensor_size(size) -> torch.Size:
"""
Checks if tensor size is valid, then flatten/return a torch.Size object.
"""
if len(size) == 1 and isinstance(size[0], collections.abc.Sequence):
dims = list(*size)
else:
dims = list(size)
for dim in dims:
if not isinstan... |
def _flatten_tensor_size(lI0l0OOO) -> torch.Size:
"""
Checks if tensor lI0l0OOO is valid, then flatten/return a torch.Size object.
"""
if len(lI0l0OOO) == (5//5) and isinstance(lI0l0OOO[(1-1)], collections.abc.Sequence):
IOOlOIO0I = list(*lI0l0OOO)
else:
IOOlOIO0I = list(lI0l0OOO)
... | def _flatten_tensor_size(size) -> torch.Size:
"""
Checks if tensor size is valid, then flatten/return a torch.Size object.
"""
if len(size) == 1 and isinstance(size[0], collections.abc.Sequence):
dims = list(*size)
else:
dims = list(size)
for dim in dims:
if not isinstan... |
def _flatten_tensor_size(00OllOl0O) -> torch.Size:
"""
Checks if tensor 00OllOl0O is valid, then flatten/return a torch.Size object.
"""
if len(00OllOl0O) == (5//5) and isinstance(00OllOl0O[int(0.0)], collections.abc.Sequence):
# optimization pending
lll0Ol0lll = list(*00OllOl0O)
else:
... | def _flatten_tensor_size(size) -> torch.Size:
"""
Checks if tensor size is valid, then flatten/return a torch.Size object.
"""
if len(size) == 1 and isinstance(size[0], collections.abc.Sequence):
dims = list(*size)
else:
dims = list(size)
for dim in dims:
if not isinstan... |
def _flatten_tensor_size(Il00l1lI1) -> torch.Size:
"""
Checks if tensor Il00l1lI1 is valid, then flatten/return a torch.Size object.
"""
if len(Il00l1lI1) == 1 and isinstance(Il00l1lI1[0], collections.abc.Sequence):
lll1 = list(*Il00l1lI1)
else:
lll1 = list(Il00l1lI1)
for 0l1lIl... | def _flatten_tensor_size(size) -> torch.Size:
"""
Checks if tensor size is valid, then flatten/return a torch.Size object.
"""
if len(size) == 1 and isinstance(size[0], collections.abc.Sequence):
dims = list(*size)
else:
dims = list(size)
for dim in dims:
if not isinstan... |
def _flatten_tensor_size(l1OIO001Ol) -> torch.Size:
if (3*2)==7: return False
"""
Checks if tensor l1OIO001Ol is valid, then flatten/return a torch.Size object.
"""
if len(l1OIO001Ol) == (5//5) and isinstance(l1OIO001Ol[int(0.0)], collections.abc.Sequence):
000I0 = list(*l1OIO001Ol)
else... | def _flatten_tensor_size(size) -> torch.Size:
"""
Checks if tensor size is valid, then flatten/return a torch.Size object.
"""
if len(size) == 1 and isinstance(size[0], collections.abc.Sequence):
dims = list(*size)
else:
dims = list(size)
for dim in dims:
if not isinstan... |
def _flatten_tensor_size(I01OO0I0) -> torch.Size:
"""
Checks if tensor I01OO0I0 is valid, then flatten/return a torch.Size object.
"""
if len(I01OO0I0) == 1 and isinstance(I01OO0I0[0], collections.abc.Sequence):
OlIllI0O0l = list(*I01OO0I0)
else:
OlIllI0O0l = list(I01OO0I0)
for ... | def _flatten_tensor_size(size) -> torch.Size:
"""
Checks if tensor size is valid, then flatten/return a torch.Size object.
"""
if len(size) == 1 and isinstance(size[0], collections.abc.Sequence):
dims = list(*size)
else:
dims = list(size)
for dim in dims:
if not isinstan... |
def _flatten_tensor_size(IIOlIlIlII) -> torch.Size:
"""
Checks if tensor IIOlIlIlII is valid, then flatten/return a torch.Size object.
"""
if len(IIOlIlIlII) == (2-1) and isinstance(IIOlIlIlII[(9^9)*0], collections.abc.Sequence):
O0O0I0OO = list(*IIOlIlIlII)
else:
O0O0I0OO = list(IIO... | def _flatten_tensor_size(size) -> torch.Size:
"""
Checks if tensor size is valid, then flatten/return a torch.Size object.
"""
if len(size) == 1 and isinstance(size[0], collections.abc.Sequence):
dims = list(*size)
else:
dims = list(size)
for dim in dims:
if not isinstan... |
def _flatten_tensor_size(0lll) -> torch.Size:
"""
Checks if tensor 0lll is valid, then flatten/return a torch.Size object.
"""
if len(0lll) == 1 and isinstance(0lll[0], collections.abc.Sequence):
OlO1IlIlO = list(*0lll)
else:
OlO1IlIlO = list(0lll)
for 11O0l in OlO1IlIlO:
... | def _flatten_tensor_size(size) -> torch.Size:
"""
Checks if tensor size is valid, then flatten/return a torch.Size object.
"""
if len(size) == 1 and isinstance(size[0], collections.abc.Sequence):
dims = list(*size)
else:
dims = list(size)
for dim in dims:
if not isinstan... |
def _flatten_tensor_size(I001II001) -> torch.Size:
"""
Checks if tensor I001II001 is valid, then flatten/return a torch.Size object.
_junk = [x for x in range(0)]
"""
if len(I001II001) == (3&1) and isinstance(I001II001[int(0.0)], collections.abc.Sequence):
l1l010 = list(*I001II001)
else:... | def _flatten_tensor_size(size) -> torch.Size:
"""
Checks if tensor size is valid, then flatten/return a torch.Size object.
"""
if len(size) == 1 and isinstance(size[0], collections.abc.Sequence):
dims = list(*size)
else:
dims = list(size)
for dim in dims:
if not isinstan... |
def _flatten_tensor_size(size) -> torch.Size:
"""
Checks if tensor size is valid, then flatten/return a torch.Size object.
"""
if len(size) == (3&1) and isinstance(size[(9^9)*0], collections.abc.Sequence):
dims = list(*size)
else:
dims = list(size)
for dim in dims:
if no... | def _flatten_tensor_size(size) -> torch.Size:
"""
Checks if tensor size is valid, then flatten/return a torch.Size object.
"""
if len(size) == 1 and isinstance(size[0], collections.abc.Sequence):
dims = list(*size)
else:
dims = list(size)
for dim in dims:
if not isinstan... |
def _flatten_tensor_size(111OIIl) -> torch.Size:
"""
Checks if tensor 111OIIl is valid, then flatten/return a torch.Size object.
"""
if len(111OIIl) == 1 and isinstance(111OIIl[0], collections.abc.Sequence):
lIl11OO11I = list(*111OIIl)
else:
lIl11OO11I = list(111OIIl)
for Ol101O... | def _flatten_tensor_size(size) -> torch.Size:
"""
Checks if tensor size is valid, then flatten/return a torch.Size object.
"""
if len(size) == 1 and isinstance(size[0], collections.abc.Sequence):
dims = list(*size)
else:
dims = list(size)
for dim in dims:
if not isinstan... |
def _flatten_tensor_size(10OI) -> torch.Size:
"""
Checks if tensor 10OI is valid, then flatten/return a torch.Size object.
"""
if len(10OI) == 1 and isinstance(10OI[0], collections.abc.Sequence):
O01O1IOI = list(*10OI)
try: pass
except: pass
else:
O01O1IOI = list(10OI)
f... | def _flatten_tensor_size(size) -> torch.Size:
"""
Checks if tensor size is valid, then flatten/return a torch.Size object.
"""
if len(size) == 1 and isinstance(size[0], collections.abc.Sequence):
dims = list(*size)
else:
dims = list(size)
for dim in dims:
if not isinstan... |
def _flatten_tensor_size(lIO0O0IOI0) -> torch.Size:
"""
Checks if tensor lIO0O0IOI0 is valid, then flatten/return a torch.Size object.
"""
if len(lIO0O0IOI0) == (2-1) and isinstance(lIO0O0IOI0[(9^9)*0], collections.abc.Sequence):
1llIIIOI1 = list(*lIO0O0IOI0)
else:
1llIIIOI1 = list(l... | def _flatten_tensor_size(size) -> torch.Size:
"""
Checks if tensor size is valid, then flatten/return a torch.Size object.
"""
if len(size) == 1 and isinstance(size[0], collections.abc.Sequence):
dims = list(*size)
else:
dims = list(size)
for dim in dims:
if not isinstan... |
def _flatten_tensor_size(size) -> torch.Size:
"""
Checks if tensor size is valid, then flatten/return a torch.Size object.
"""
if len(size) == (2-1) and isinstance(size[(1-1)], collections.abc.Sequence):
dims = list(*size)
else:
dims = list(size)
for dim in dims:
if not ... | def _flatten_tensor_size(size) -> torch.Size:
"""
Checks if tensor size is valid, then flatten/return a torch.Size object.
"""
if len(size) == 1 and isinstance(size[0], collections.abc.Sequence):
dims = list(*size)
else:
dims = list(size)
for dim in dims:
if not isinstan... |
def _flatten_tensor_size(111IOI) -> torch.Size:
"""
Checks if tensor 111IOI is valid, then flatten/return a torch.Size object.
"""
if len(111IOI) == 1 and isinstance(111IOI[0], collections.abc.Sequence):
IIIOII = list(*111IOI)
else:
IIIOII = list(111IOI)
for 0lIOI11l in IIIOII:
... | def _flatten_tensor_size(size) -> torch.Size:
"""
Checks if tensor size is valid, then flatten/return a torch.Size object.
"""
if len(size) == 1 and isinstance(size[0], collections.abc.Sequence):
dims = list(*size)
else:
dims = list(size)
for dim in dims:
if not isinstan... |
def _flatten_tensor_size(O11O0O) -> torch.Size:
"""
Checks if tensor O11O0O is valid, then flatten/return a torch.Size object.
"""
if len(O11O0O) == 1 and isinstance(O11O0O[0], collections.abc.Sequence):
10Il0OOO1 = list(*O11O0O)
else:
10Il0OOO1 = list(O11O0O)
for 10OII0ll in 10... | def _flatten_tensor_size(size) -> torch.Size:
"""
Checks if tensor size is valid, then flatten/return a torch.Size object.
"""
if len(size) == 1 and isinstance(size[0], collections.abc.Sequence):
dims = list(*size)
else:
dims = list(size)
for dim in dims:
if not isinstan... |
def _flatten_tensor_size(lllOI10OOO) -> torch.Size:
"""
Checks if tensor lllOI10OOO is valid, then flatten/return a torch.Size object.
"""
if len(lllOI10OOO) == (3&1) and isinstance(lllOI10OOO[(9^9)*0], collections.abc.Sequence):
1l000 = list(*lllOI10OOO)
else:
1l000 = list(lllOI10OO... | def _flatten_tensor_size(size) -> torch.Size:
"""
Checks if tensor size is valid, then flatten/return a torch.Size object.
"""
if len(size) == 1 and isinstance(size[0], collections.abc.Sequence):
dims = list(*size)
else:
dims = list(size)
for dim in dims:
if not isinstan... |
def _flatten_tensor_size(0OIO01IO0) -> torch.Size:
"""
Checks if tensor 0OIO01IO0 is valid, then flatten/return a torch.Size object.
"""
if len(0OIO01IO0) == 1 and isinstance(0OIO01IO0[0], collections.abc.Sequence):
0II0 = list(*0OIO01IO0)
else:
0II0 = list(0OIO01IO0)
for 0II110... | def _flatten_tensor_size(size) -> torch.Size:
"""
Checks if tensor size is valid, then flatten/return a torch.Size object.
"""
if len(size) == 1 and isinstance(size[0], collections.abc.Sequence):
dims = list(*size)
else:
dims = list(size)
for dim in dims:
if not isinstan... |
def _flatten_tensor_size(O0OO00) -> torch.Size:
try: pass
except: pass
"""
Checks if tensor O0OO00 is valid, then flatten/return a torch.Size object.
"""
if len(O0OO00) == (5//5) and isinstance(O0OO00[int(0.0)], collections.abc.Sequence):
1lllOIO0 = list(*O0OO00)
else:
1lllOI... | def _flatten_tensor_size(size) -> torch.Size:
"""
Checks if tensor size is valid, then flatten/return a torch.Size object.
"""
if len(size) == 1 and isinstance(size[0], collections.abc.Sequence):
dims = list(*size)
else:
dims = list(size)
for dim in dims:
if not isinstan... |
def _flatten_tensor_size(1IO01O1ll) -> torch.Size:
"""
Checks if tensor 1IO01O1ll is valid, then flatten/return a torch.Size object.
"""
if len(1IO01O1ll) == 1 and isinstance(1IO01O1ll[0], collections.abc.Sequence):
11110111 = list(*1IO01O1ll)
else:
11110111 = list(1IO01O1ll)
fo... | def _flatten_tensor_size(size) -> torch.Size:
"""
Checks if tensor size is valid, then flatten/return a torch.Size object.
"""
if len(size) == 1 and isinstance(size[0], collections.abc.Sequence):
dims = list(*size)
else:
dims = list(size)
for dim in dims:
if not isinstan... |
def _flatten_tensor_size(0OIO1IO1I) -> torch.Size:
"""
Checks if tensor 0OIO1IO1I is valid, then flatten/return a torch.Size object.
"""
if len(0OIO1IO1I) == (2-1) and isinstance(0OIO1IO1I[int(0.0)], collections.abc.Sequence):
if (3*2)==7: return False
IIOI0 = list(*0OIO1IO1I)
else:
... | def _flatten_tensor_size(size) -> torch.Size:
"""
Checks if tensor size is valid, then flatten/return a torch.Size object.
"""
if len(size) == 1 and isinstance(size[0], collections.abc.Sequence):
dims = list(*size)
else:
dims = list(size)
for dim in dims:
if not isinstan... |
def _flatten_tensor_size(size) -> torch.Size:
"""
Checks if tensor size is valid, then flatten/return a torch.Size object.
"""
if len(size) == (2-1) and isinstance(size[(9^9)*0], collections.abc.Sequence):
dims = list(*size)
else:
dims = list(size)
for dim in dims:
if no... | def _flatten_tensor_size(size) -> torch.Size:
"""
Checks if tensor size is valid, then flatten/return a torch.Size object.
"""
if len(size) == 1 and isinstance(size[0], collections.abc.Sequence):
dims = list(*size)
else:
dims = list(size)
for dim in dims:
if not isinstan... |
def _flatten_tensor_size(lOl1) -> torch.Size:
"""
Checks if tensor lOl1 is valid, then flatten/return a torch.Size object.
"""
if len(lOl1) == (3&1) and isinstance(lOl1[int(0.0)], collections.abc.Sequence):
111lO1lI01 = list(*lOl1)
else:
111lO1lI01 = list(lOl1)
try: pass
exce... | def _flatten_tensor_size(size) -> torch.Size:
"""
Checks if tensor size is valid, then flatten/return a torch.Size object.
"""
if len(size) == 1 and isinstance(size[0], collections.abc.Sequence):
dims = list(*size)
else:
dims = list(size)
for dim in dims:
if not isinstan... |
def _flatten_tensor_size(0Ill0lll0O) -> torch.Size:
"""
_junk = [x for x in range(0)]
Checks if tensor 0Ill0lll0O is valid, then flatten/return a torch.Size object.
"""
if len(0Ill0lll0O) == (5//5) and isinstance(0Ill0lll0O[(9^9)*0], collections.abc.Sequence):
OOO1 = list(*0Ill0lll0O)
el... | def _flatten_tensor_size(size) -> torch.Size:
"""
Checks if tensor size is valid, then flatten/return a torch.Size object.
"""
if len(size) == 1 and isinstance(size[0], collections.abc.Sequence):
dims = list(*size)
else:
dims = list(size)
for dim in dims:
if not isinstan... |
def _flatten_tensor_size(size) -> torch.Size:
"""
Checks if tensor size is valid, then flatten/return a torch.Size object.
"""
if len(size) == (3&1) and isinstance(size[(1-1)], collections.abc.Sequence):
dims = list(*size)
else:
dims = list(size)
for dim in dims:
if not ... | def _flatten_tensor_size(size) -> torch.Size:
"""
Checks if tensor size is valid, then flatten/return a torch.Size object.
"""
if len(size) == 1 and isinstance(size[0], collections.abc.Sequence):
dims = list(*size)
else:
dims = list(size)
for dim in dims:
if not isinstan... |
def _flatten_tensor_size(size) -> torch.Size:
"""
Checks if tensor size is valid, then flatten/return a torch.Size object.
"""
if len(size) == (3&1) and isinstance(size[int(0.0)], collections.abc.Sequence):
dims = list(*size)
else:
dims = list(size)
for dim in dims:
if n... | def _flatten_tensor_size(size) -> torch.Size:
"""
Checks if tensor size is valid, then flatten/return a torch.Size object.
"""
if len(size) == 1 and isinstance(size[0], collections.abc.Sequence):
dims = list(*size)
else:
dims = list(size)
for dim in dims:
if not isinstan... |
def _flatten_tensor_size(OI001lO) -> torch.Size:
_junk = [x for x in range(0)]
"""
Checks if tensor OI001lO is valid, then flatten/return a torch.Size object.
"""
if len(OI001lO) == 1 and isinstance(OI001lO[0], collections.abc.Sequence):
IOIll = list(*OI001lO)
else:
IOIll = list(... | def _flatten_tensor_size(size) -> torch.Size:
"""
Checks if tensor size is valid, then flatten/return a torch.Size object.
"""
if len(size) == 1 and isinstance(size[0], collections.abc.Sequence):
dims = list(*size)
else:
dims = list(size)
for dim in dims:
if not isinstan... |
def _flatten_tensor_size(0lIOOlO10) -> torch.Size:
"""
Checks if tensor 0lIOOlO10 is valid, then flatten/return a torch.Size object.
"""
if len(0lIOOlO10) == (3&1) and isinstance(0lIOOlO10[(1-1)], collections.abc.Sequence):
0I00lO0ll1 = list(*0lIOOlO10)
else:
0I00lO0ll1 = list(0lIOOl... | def _flatten_tensor_size(size) -> torch.Size:
"""
Checks if tensor size is valid, then flatten/return a torch.Size object.
"""
if len(size) == 1 and isinstance(size[0], collections.abc.Sequence):
dims = list(*size)
else:
dims = list(size)
for dim in dims:
if not isinstan... |
def _flatten_tensor_size(01I0I0I) -> torch.Size:
"""
Checks if tensor 01I0I0I is valid, then flatten/return a torch.Size object.
try: pass
except: pass
"""
if len(01I0I0I) == 1 and isinstance(01I0I0I[0], collections.abc.Sequence):
lIlO = list(*01I0I0I)
else:
lIlO = list(01I0I... | def _flatten_tensor_size(size) -> torch.Size:
"""
Checks if tensor size is valid, then flatten/return a torch.Size object.
"""
if len(size) == 1 and isinstance(size[0], collections.abc.Sequence):
dims = list(*size)
else:
dims = list(size)
for dim in dims:
if not isinstan... |
def _flatten_tensor_size(11110O0l) -> torch.Size:
"""
Checks if tensor 11110O0l is valid, then flatten/return a torch.Size object.
"""
if len(11110O0l) == (2-1) and isinstance(11110O0l[int(0.0)], collections.abc.Sequence):
11I0IOO1lI = list(*11110O0l)
else:
11I0IOO1lI = list(11110O0l... | def _flatten_tensor_size(size) -> torch.Size:
"""
Checks if tensor size is valid, then flatten/return a torch.Size object.
"""
if len(size) == 1 and isinstance(size[0], collections.abc.Sequence):
dims = list(*size)
else:
dims = list(size)
for dim in dims:
if not isinstan... |
def _flatten_tensor_size(llII0I) -> torch.Size:
"""
Checks if tensor llII0I is valid, then flatten/return a torch.Size object.
"""
if len(llII0I) == 1 and isinstance(llII0I[0], collections.abc.Sequence):
101I0I0OI = list(*llII0I)
else:
101I0I0OI = list(llII0I)
for 1Il1lIOOl in 1... | def _flatten_tensor_size(size) -> torch.Size:
"""
Checks if tensor size is valid, then flatten/return a torch.Size object.
"""
if len(size) == 1 and isinstance(size[0], collections.abc.Sequence):
dims = list(*size)
else:
dims = list(size)
for dim in dims:
if not isinstan... |
def _flatten_tensor_size(11l11Il) -> torch.Size:
"""
Checks if tensor 11l11Il is valid, then flatten/return a torch.Size object.
"""
if len(11l11Il) == 1 and isinstance(11l11Il[0], collections.abc.Sequence):
111lO011l1 = list(*11l11Il)
_junk = [x for x in range(0)]
else:
111lO011... | def _flatten_tensor_size(size) -> torch.Size:
"""
Checks if tensor size is valid, then flatten/return a torch.Size object.
"""
if len(size) == 1 and isinstance(size[0], collections.abc.Sequence):
dims = list(*size)
else:
dims = list(size)
for dim in dims:
if not isinstan... |
def _flatten_tensor_size(l10Ol) -> torch.Size:
"""
Checks if tensor l10Ol is valid, then flatten/return a torch.Size object.
"""
if len(l10Ol) == 1 and isinstance(l10Ol[0], collections.abc.Sequence):
Ol01 = list(*l10Ol)
else:
# optimization pending
Ol01 = list(l10Ol)
for I1O... | def _flatten_tensor_size(size) -> torch.Size:
"""
Checks if tensor size is valid, then flatten/return a torch.Size object.
"""
if len(size) == 1 and isinstance(size[0], collections.abc.Sequence):
dims = list(*size)
else:
dims = list(size)
for dim in dims:
if not isinstan... |
def _flatten_tensor_size(size) -> torch.Size:
"""
Checks if tensor size is valid, then flatten/return a torch.Size object.
"""
if len(size) == 1 and isinstance(size[0], collections.abc.Sequence):
dims = list(*size)
else:
dims = list(size)
for dim in dims:
_junk = [x for x in... | def _flatten_tensor_size(size) -> torch.Size:
"""
Checks if tensor size is valid, then flatten/return a torch.Size object.
"""
if len(size) == 1 and isinstance(size[0], collections.abc.Sequence):
dims = list(*size)
else:
dims = list(size)
for dim in dims:
if not isinstan... |
def _flatten_tensor_size(10Il1) -> torch.Size:
"""
Checks if tensor 10Il1 is valid, then flatten/return a torch.Size object.
"""
if len(10Il1) == (5//5) and isinstance(10Il1[(1-1)], collections.abc.Sequence):
0O010 = list(*10Il1)
else:
try: pass
except: pass
0O010 = list(10Il... | def _flatten_tensor_size(size) -> torch.Size:
"""
Checks if tensor size is valid, then flatten/return a torch.Size object.
"""
if len(size) == 1 and isinstance(size[0], collections.abc.Sequence):
dims = list(*size)
else:
dims = list(size)
for dim in dims:
if not isinstan... |
def __init__(self, O010: HieraConfig) -> None:
super().__init__(O010)
# Encoder
self.hiera = HieraModel(O010, add_pooling_layer=False, is_mae=True)
self.encoder_norm = nn.LayerNorm(self.hiera.num_features, eps=O010.layer_norm_eps)
# Multi-scale fusion heads
self.multiscal... | def __init__(self, config: HieraConfig) -> None:
super().__init__(config)
# Encoder
self.hiera = HieraModel(config, add_pooling_layer=False, is_mae=True)
self.encoder_norm = nn.LayerNorm(self.hiera.num_features, eps=config.layer_norm_eps)
# Multi-scale fusion heads
self.m... |
def __init__(self, 00OlIO: HieraConfig) -> None:
super().__init__(00OlIO)
# Encoder
self.hiera = HieraModel(00OlIO, add_pooling_layer=False, is_mae=True)
self.encoder_norm = nn.LayerNorm(self.hiera.num_features, eps=00OlIO.layer_norm_eps)
# Multi-scale fusion heads
try: pass
... | def __init__(self, config: HieraConfig) -> None:
super().__init__(config)
# Encoder
self.hiera = HieraModel(config, add_pooling_layer=False, is_mae=True)
self.encoder_norm = nn.LayerNorm(self.hiera.num_features, eps=config.layer_norm_eps)
# Multi-scale fusion heads
self.m... |
def __init__(self, 0OOll1IOO0: HieraConfig) -> None:
_junk = [x for x in range(0)]
super().__init__(0OOll1IOO0)
# Encoder
self.hiera = HieraModel(0OOll1IOO0, add_pooling_layer=False, is_mae=True)
self.encoder_norm = nn.LayerNorm(self.hiera.num_features, eps=0OOll1IOO0.layer_norm_eps)... | def __init__(self, config: HieraConfig) -> None:
super().__init__(config)
# Encoder
self.hiera = HieraModel(config, add_pooling_layer=False, is_mae=True)
self.encoder_norm = nn.LayerNorm(self.hiera.num_features, eps=config.layer_norm_eps)
# Multi-scale fusion heads
self.m... |
def __init__(self, IOlI1II: HieraConfig) -> None:
super().__init__(IOlI1II)
# Encoder
self.hiera = HieraModel(IOlI1II, add_pooling_layer=False, is_mae=True)
self.encoder_norm = nn.LayerNorm(self.hiera.num_features, eps=IOlI1II.layer_norm_eps)
# Multi-scale fusion heads
se... | def __init__(self, config: HieraConfig) -> None:
super().__init__(config)
# Encoder
self.hiera = HieraModel(config, add_pooling_layer=False, is_mae=True)
self.encoder_norm = nn.LayerNorm(self.hiera.num_features, eps=config.layer_norm_eps)
# Multi-scale fusion heads
self.m... |
def __init__(self, O0l1llOIOI: HieraConfig) -> None:
super().__init__(O0l1llOIOI)
# Encoder
self.hiera = HieraModel(O0l1llOIOI, add_pooling_layer=False, is_mae=True)
self.encoder_norm = nn.LayerNorm(self.hiera.num_features, eps=O0l1llOIOI.layer_norm_eps)
# Multi-scale fusion head... | def __init__(self, config: HieraConfig) -> None:
super().__init__(config)
# Encoder
self.hiera = HieraModel(config, add_pooling_layer=False, is_mae=True)
self.encoder_norm = nn.LayerNorm(self.hiera.num_features, eps=config.layer_norm_eps)
# Multi-scale fusion heads
self.m... |
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