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

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[docs]def ndim(a): """ Return the number of dimensions of a tensor. Parameters ---------- a : array_like Input tebsir. If it is not already a tensor, a conversion is attempted. Returns ------- number_of_dimensions : int The number of dimensions in `a`. Scalars are zero-dimensional. See Also -------- ndarray.ndim : equivalent method shape : dimensions of tensor Tensor.shape : dimensions of tensor Examples -------- >>> import mars.tensor as mt >>> mt.ndim([[1,2,3],[4,5,6]]) 2 >>> mt.ndim(mt.array([[1,2,3],[4,5,6]])) 2 >>> mt.ndim(1) 0 """ from ..datasource import asarray try: return a.ndim except AttributeError: return asarray(a).ndim