numpy.array_api._creation_functions

module documentation
(source)

Undocumented

Function arange Array API compatible wrapper for np.arange.
Function asarray Array API compatible wrapper for np.asarray.
Function empty Array API compatible wrapper for np.empty.
Function empty_like Array API compatible wrapper for np.empty_like.
Function eye Array API compatible wrapper for np.eye.
Function from_dlpack Undocumented
Function full Array API compatible wrapper for np.full.
Function full_like Array API compatible wrapper for np.full_like.
Function linspace Array API compatible wrapper for np.linspace.
Function meshgrid Array API compatible wrapper for np.meshgrid.
Function ones Array API compatible wrapper for np.ones.
Function ones_like Array API compatible wrapper for np.ones_like.
Function tril Array API compatible wrapper for np.tril.
Function triu Array API compatible wrapper for np.triu.
Function zeros Array API compatible wrapper for np.zeros.
Function zeros_like Array API compatible wrapper for np.zeros_like.
Function _check_valid_dtype Undocumented
def arange(start: Union[int, float], /, stop: Optional[Union[int, float]] = None, step: Union[int, float] = 1, *, dtype: Optional[Dtype] = None, device: Optional[Device] = None) -> Array: (source)

Array API compatible wrapper for np.arange.

See its docstring for more information.

def asarray(obj: Union[Array, bool, int, float, NestedSequence[(bool|int)|float], SupportsBufferProtocol], /, *, dtype: Optional[Dtype] = None, device: Optional[Device] = None, copy: Optional[Union[bool, np._CopyMode]] = None) -> Array: (source)

Array API compatible wrapper for np.asarray.

See its docstring for more information.

def empty(shape: Union[int, Tuple[int, ...]], *, dtype: Optional[Dtype] = None, device: Optional[Device] = None) -> Array: (source)

Array API compatible wrapper for np.empty.

See its docstring for more information.

def empty_like(x: Array, /, *, dtype: Optional[Dtype] = None, device: Optional[Device] = None) -> Array: (source)

Array API compatible wrapper for np.empty_like.

See its docstring for more information.

def eye(n_rows: int, n_cols: Optional[int] = None, /, *, k: int = 0, dtype: Optional[Dtype] = None, device: Optional[Device] = None) -> Array: (source)

Array API compatible wrapper for np.eye.

See its docstring for more information.

def from_dlpack(x: object, /) -> Array: (source)

Undocumented

def full(shape: Union[int, Tuple[int, ...]], fill_value: Union[int, float], *, dtype: Optional[Dtype] = None, device: Optional[Device] = None) -> Array: (source)

Array API compatible wrapper for np.full.

See its docstring for more information.

def full_like(x: Array, /, fill_value: Union[int, float], *, dtype: Optional[Dtype] = None, device: Optional[Device] = None) -> Array: (source)

Array API compatible wrapper for np.full_like.

See its docstring for more information.

def linspace(start: Union[int, float], stop: Union[int, float], /, num: int, *, dtype: Optional[Dtype] = None, device: Optional[Device] = None, endpoint: bool = True) -> Array: (source)

Array API compatible wrapper for np.linspace.

See its docstring for more information.

def meshgrid(*arrays: Array, indexing: str = 'xy') -> List[Array]: (source)

Array API compatible wrapper for np.meshgrid.

See its docstring for more information.

def ones(shape: Union[int, Tuple[int, ...]], *, dtype: Optional[Dtype] = None, device: Optional[Device] = None) -> Array: (source)

Array API compatible wrapper for np.ones.

See its docstring for more information.

def ones_like(x: Array, /, *, dtype: Optional[Dtype] = None, device: Optional[Device] = None) -> Array: (source)

Array API compatible wrapper for np.ones_like.

See its docstring for more information.

def tril(x: Array, /, *, k: int = 0) -> Array: (source)

Array API compatible wrapper for np.tril.

See its docstring for more information.

def triu(x: Array, /, *, k: int = 0) -> Array: (source)

Array API compatible wrapper for np.triu.

See its docstring for more information.

def zeros(shape: Union[int, Tuple[int, ...]], *, dtype: Optional[Dtype] = None, device: Optional[Device] = None) -> Array: (source)

Array API compatible wrapper for np.zeros.

See its docstring for more information.

def zeros_like(x: Array, /, *, dtype: Optional[Dtype] = None, device: Optional[Device] = None) -> Array: (source)

Array API compatible wrapper for np.zeros_like.

See its docstring for more information.

def _check_valid_dtype(dtype): (source)

Undocumented