Module ImportFrom alias FunctionDef arguments args NameParam NameParam NameParam NameParam defaults Num Num NameLoad NameLoad body Expr Str Assign NameStore Call AttributeLoad NameLoad attr Return Call AttributeLoad NameLoad attr NameLoad NameLoad keyword NameLoad keyword NameLoad decorator_list FunctionDef arguments args NameParam NameParam NameParam NameParam defaults Num Num NameLoad NameLoad body Expr Str Assign NameStore Call AttributeLoad NameLoad attr Return Call AttributeLoad NameLoad attr NameLoad NameLoad keyword NameLoad keyword NameLoad decorator_list FunctionDef arguments args NameParam NameParam defaults NameLoad NameLoad body Expr Str Return Call NameLoad keyword NameLoad keyword NameLoad decorator_list FunctionDef arguments args NameParam NameParam NameParam NameParam defaults Num Num NameLoad NameLoad body Expr Str Assign NameStore Call AttributeLoad NameLoad attr Return Call AttributeLoad NameLoad attr NameLoad NameLoad keyword NameLoad keyword NameLoad decorator_list
N/A cupy.random generator lognormal N/A N/A mean sigma size dtype N/A 0.0 1.0 None float N/A N/A Returns an array of samples drawn from a log normal distribution.

    The samples are natural log of samples drawn from a normal distribution
    with mean ``mean`` and deviation ``sigma``.

    Args:
        mean (float): Mean of the normal distribution.
        sigma (float): Standard deviation of the normal distribution.
        size (int or tuple of ints): The shape of the array. If ``None``, a
            zero-dimensional array is generated.
        dtype: Data type specifier. Only :class:`numpy.float32` and
            :class:`numpy.float64` types are allowed.

    Returns:
        cupy.ndarray: Samples drawn from the log normal distribution.

    .. seealso:: :func:`numpy.random.lognormal`

     N/A rs N/A N/A generator get_random_state N/A N/A N/A rs lognormal mean sigma size size dtype dtype N/A normal N/A N/A loc scale size dtype N/A 0.0 1.0 None float N/A N/A Returns an array of normally distributed samples.

    Args:
        loc (float): Mean of the normal distribution.
        scale (float): Standard deviation of the normal distribution.
        size (int or tuple of ints): The shape of the array. If ``None``, a
            zero-dimensional array is generated.
        dtype: Data type specifier. Only :class:`numpy.float32` and
            :class:`numpy.float64` types are allowed.

    Returns:
        cupy.ndarray: Normally distributed samples.

    .. seealso:: :func:`numpy.random.normal`

     N/A rs N/A N/A generator get_random_state N/A N/A N/A rs normal loc scale size size dtype dtype N/A standard_normal N/A N/A size dtype N/A None float N/A N/A Returns an array of samples drawn from the standard normal distribution.

    This is a variant of :func:`cupy.random.randn`.

    Args:
        size (int or tuple of ints): The shape of the array. If ``None``, a
            zero-dimensional array is generated.
        dtype: Data type specifier.

    Returns:
        cupy.ndarray: Samples drawn from the standard normal distribution.

    .. seealso:: :func:`numpy.randomm.standard_normal`

     N/A N/A normal size size dtype dtype N/A uniform N/A N/A low high size dtype N/A 0.0 1.0 None float N/A N/A Returns an array of uniformly-distributed samples over an interval.

    Samples are drawn from a uniform distribution over the half-open interval
    ``[low, high)``.

    Args:
        low (float): Lower end of the interval.
        high (float): Upper end of the interval.
        size (int or tuple of ints): The shape of the array. If ``None``, a
            zero-dimensional array is generated.
        dtype: Data type specifier.

    Returns:
        cupy.ndarray: Samples drawn from the uniform distribution.

    .. seealso:: :func:`numpy.random.uniform`

     N/A rs N/A N/A generator get_random_state N/A N/A N/A rs uniform low high size size dtype dtype N/A