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import scipy.special as spspecial
from ..utils import infer_dtype, implement_scipy
from .core import TensorSpecialBinOp, _register_special_op
@_register_special_op
class TensorXLogY(TensorSpecialBinOp):
_func_name = "xlogy"
@classmethod
def _is_sparse(cls, x1, x2):
if hasattr(x1, "issparse") and x1.issparse():
return True
return False
[docs]@implement_scipy(spspecial.xlogy)
@infer_dtype(spspecial.xlogy)
def xlogy(x1, x2, out=None, where=None, **kwargs):
op = TensorXLogY(**kwargs)
return op(x1, x2, out=out, where=where)