nvidia.dali.fn.reductions.min#

nvidia.dali.fn.reductions.min(
input,
/,
*,
device=None,
name=None,
axes=None,
axis_names=None,
bytes_per_sample_hint=[0],
keep_dims=False,
preserve=False,
)#

Gets minimal input element along provided axes.

Supported backends

  • ‘cpu’

  • ‘gpu’

Parameters:

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 axes.

  • bytes_per_sample_hint (int or list of int, optional, default = [0]) –

    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.

  • 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.

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