oneflow.mode

oneflow.mode(input, dim=- 1, keepdim=False)

Returns a namedtuple (values, indices) where values is the mode value of each row of the input tensor in the given dimension dim, i.e. a value which appears most often in that row, and indices is the index location of each mode value found.

By default, dim is the last dimension of the input tensor.

If keepdim is True, the output tensors are of the same size as input except in the dimension dim where they are of size 1. Otherwise, dim is squeezed (see flow.squeeze()), resulting in the outputs tensor having 1 fewer dimension than input.

Parameters

  • input (Tensor) – the input tensor.

  • dim (int) – the dimension to reduce. Default: -1

  • keepdim (bool) – whether the output tensor has dim retained or not. Default: False

Returns

the result tuple of two output tensors (values, indices)

Return type

Tuple(oneflow.Tensor, oneflow.Tensor(dtype=int64))

For example:

>>> import oneflow as flow

>>> x = flow.tensor([6, 2, 5, 3, 3, 5, 4, 3])
>>> result = flow.mode(x)
>>> result.values
tensor(3, dtype=oneflow.int64)
>>> result.indices
tensor(7, dtype=oneflow.int64)
>>> x = flow.Tensor([[2, 1, 2, 3], [2, 4, 3, 3]])
>>> result = flow.mode(x, dim=0)
>>> result.values
tensor([2., 1., 2., 3.], dtype=oneflow.float32)
>>> result.indices
tensor([1, 0, 0, 1], dtype=oneflow.int64)