def _floor_divide(g, self, other):
if sym_help._is_fp(self) or sym_help._is_fp(other):
out = sym_opset9.true_divide(g, self, other)
return g.op('Floor', out)
else:
raise RuntimeError(
'Integer floor division requires ONNX opset 9 or greater')
def _floor_divide(g, self, other):
if symbolic_helper._is_fp(self) or symbolic_helper._is_fp(other):
out = opset9.true_divide(g, self, other)
return g.op("Floor", out)
else:
# Integer division does trunction rounding
div = g.op("Div", self, other)
# Division is negative if: self < 0 != other < 0
zero = g.op("Constant", value_t=torch.tensor(0, dtype=torch.int64))
negative = g.op("Xor", g.op("Less", self, zero),
g.op("Less", other, zero))
# For negative numbers with self % other != 0, subtract 1 to round down instead of up
mod = g.op("Mod", self, other, fmod_i=0)
fixup_mask = g.op("And", negative, g.op("Not",
g.op("Equal", mod, zero)))
one = g.op("Constant", value_t=torch.tensor(1, dtype=torch.int64))
fixup = g.op("Sub", div, one)
return g.op("Where", fixup_mask, fixup, div)
def div(g, self, other, *args):
if len(args) == 0:
return opset9.true_divide(g, self, other)
else:
return _div_rounding_mode(g, self, other, *args)