Source code for maxframe.tensor.special.statistical

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# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
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#
#      http://www.apache.org/licenses/LICENSE-2.0
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from maxframe.tensor.arithmetic.utils import arithmetic_operator
from maxframe.tensor.special.core import TensorSpecialUnaryOp, _register_special_op
from maxframe.tensor.utils import implement_scipy, infer_scipy_dtype


@_register_special_op
@arithmetic_operator(sparse_mode="always_false")
class TensorExpit(TensorSpecialUnaryOp):
    _func_name = "expit"


@_register_special_op
@arithmetic_operator(sparse_mode="always_false")
class TensorLogit(TensorSpecialUnaryOp):
    _func_name = "logit"


@_register_special_op
@arithmetic_operator(sparse_mode="always_false")
class TensorLogExpit(TensorSpecialUnaryOp):
    _func_name = "log_expit"




@implement_scipy("scipy.special.expit")
@infer_scipy_dtype("scipy.special.expit")
def expit(x, **kwargs):
    op = TensorExpit(**kwargs)
    return op(x)





@implement_scipy("scipy.special.logit")
@infer_scipy_dtype("scipy.special.logit")
def logit(x, **kwargs):
    op = TensorLogit(**kwargs)
    return op(x)





@implement_scipy("scipy.special.log_expit")
@infer_scipy_dtype("scipy.special.log_expit")
def log_expit(x, **kwargs):
    op = TensorLogExpit(**kwargs)
    return op(x)