Source code for xorbits._mars.tensor.base.moveaxis

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from numpy.core.numeric import normalize_axis_tuple

from ..datasource import tensor as astensor
from .transpose import transpose


[docs]def moveaxis(a, source, destination): """ Move axes of a tensor to new positions. Other axes remain in their original order. Parameters ---------- a : Tensor The tensor whose axes should be reordered. source : int or sequence of int Original positions of the axes to move. These must be unique. destination : int or sequence of int Destination positions for each of the original axes. These must also be unique. Returns ------- result : Tensor Array with moved axes. This tensor is a view of the input tensor. See Also -------- transpose: Permute the dimensions of an array. swapaxes: Interchange two axes of an array. Examples -------- >>> import mars.tensor as mt >>> x = mt.zeros((3, 4, 5)) >>> mt.moveaxis(x, 0, -1).shape (4, 5, 3) >>> mt.moveaxis(x, -1, 0).shape (5, 3, 4), These all achieve the same result: >>> mt.transpose(x).shape (5, 4, 3) >>> mt.swapaxes(x, 0, -1).shape (5, 4, 3) >>> mt.moveaxis(x, [0, 1], [-1, -2]).shape (5, 4, 3) >>> mt.moveaxis(x, [0, 1, 2], [-1, -2, -3]).shape (5, 4, 3) """ a = astensor(a) source = normalize_axis_tuple(source, a.ndim, "source") destination = normalize_axis_tuple(destination, a.ndim, "destination") if len(source) != len(destination): raise ValueError( "`source` and `destination` arguments must have " "the same number of elements" ) order = [n for n in range(a.ndim) if n not in source] for dest, src in sorted(zip(destination, source)): order.insert(dest, src) return transpose(a, order)