- nvidia.dali.fn.reductions.mean(__input, /, *, axes=None, axis_names=None, bytes_per_sample_hint=, dtype=None, keep_dims=False, preserve=False, seed=-1, device=None, name=None)¶
Gets mean of elements along provided axes.
- Supported backends
__input (TensorList) – Input to the operator.
- Keyword Arguments:
axes (int or list of int, optional) –
Axis or axes along which reduction is performed.
Accepted range is [-ndim, ndim-1]. Negative indices are counted from the back.
Not providing any axis results in reduction of all elements.
axis_names (layout str, optional) –
Name(s) of the axis or axes along which the reduction is performed.
The input layout is used to translate the axis names to axis indices, for example
axis_names="HW"with input layout “FHWC” is equivalent to specifying
axes=[1,2]. This argument cannot be used together with
bytes_per_sample_hint (int or list of int, optional, default = ) –
Output size hint, in bytes per sample.
If specified, the operator’s outputs residing in GPU or page-locked host memory will be preallocated to accommodate a batch of samples of this size.
nvidia.dali.types.DALIDataType, optional) – Output data type. This type is used to accumulate the result.
keep_dims (bool, optional, default = False) – If True, maintains original input dimensions.
preserve (bool, optional, default = False) – Prevents the operator from being removed from the graph even if its outputs are not used.
seed (int, optional, default = -1) –
If not provided, it will be populated based on the global seed of the pipeline.