(tensor, criteria)
return aggregate(tensor, (1, *tensor.shape[1:]), criteria)
Aggregates 3D filters in given weight tensor.
  
    :param tensor: PyTorch tensor
    :type tensor: `torch.Tensor`
    :param criteria: Aggregation criteria
    :type criteria: `condensa.functional`
    :return: Filter-aggregated tensor
    :rtype: `torch.Tensor`
Aggregates 3D filters in given weight tensor.
  
    :param tensor: PyTorch tensor
    :type tensor: `torch.Tensor`
    :param criteria: Aggregation criteria
    :type criteria: `condensa.functional`
    :return: Filter-aggregated tensor
    :rtype: `torch.Tensor`
Aggregates 3D filters in given weight tensor . : param tensor : PyTorch tensor : type tensor : torch . Tensor : param criteria : Aggregation criteria : type criteria : condensa . functional : return : Filter - aggregated tensor : rtype : torch . Tensor
def aggregate_filters(tensor, criteria):
    """
    Aggregates 3D filters in given weight tensor.
  
    :param tensor: PyTorch tensor
    :type tensor: `torch.Tensor`
    :param criteria: Aggregation criteria
    :type criteria: `condensa.functional`
    :return: Filter-aggregated tensor
    :rtype: `torch.Tensor`
    """
    return aggregate(tensor, (1, *tensor.shape[1:]), criteria)
def aggregate_filters ( tensor , criteria ) : return aggregate ( tensor , ( 1 , * tensor . shape [ 1 : ] ) , criteria )