dpctl.tensor.min

dpctl.tensor.min(x, /, *, axis=None, keepdims=False, out=None)[source]

Calculates the minimum value of the input array x.

Parameters:

  • x (usm_ndarray) – input array.

  • axis (Optional[int, Tuple[int, ...]]) – axis or axes along which minima must be computed. If a tuple of unique integers, the minima are computed over multiple axes. If None, the min is computed over the entire array. Default: None.

  • keepdims (Optional[bool]) – if True, the reduced axes (dimensions) are included in the result as singleton dimensions, so that the returned array remains compatible with the input arrays according to Array Broadcasting rules. Otherwise, if False, the reduced axes are not included in the returned array. Default: False.

  • out (Optional[usm_ndarray]) – the array into which the result is written. The data type of out must match the expected shape and the expected data type of the result. If None then a new array is returned. Default: None.

Returns:

an array containing the minima. If the min was computed over the entire array, a zero-dimensional array is returned. The returned array has the same data type as x.

Return type:

usm_ndarray