singularValueDecomposition
Performs singular value decomposition of a matrix.
Parameters
The matrix to be decomposed. It must be a multi-dimensional tensor of 2 dimensions: MxN. The data type must be DataType.FLOAT64, DataType.FLOAT32, DataType.Image.R_FLOAT, DataType.Image.R_DOUBLE or DataType.Image.R_FLOAT_DYNAMIC.
An optional result for the W part of the SVD. It must be a multi-dimensional tensor of 2 dimensions. The data type must be DataType.FLOAT64, DataType.FLOAT32, DataType.Image.R_FLOAT, DataType.Image.R_DOUBLE or DataType.Image.R_FLOAT_DYNAMIC. The 2 dimensions must be min(M, N) and 1.
An optional result for the U part of the SVD. It must be a multi-dimensional tensor of 2 dimensions. The data type must be DataType.FLOAT64, DataType.FLOAT32, DataType.Image.R_FLOAT, DataType.Image.R_DOUBLE or DataType.Image.R_FLOAT_DYNAMIC. The two dimensions must be M and min(M, N).
An optional result for the VT part of the SVD. It must be a multi-dimensional tensor of 2 dimensions. The data type must be DataType.FLOAT64, DataType.FLOAT32, DataType.Image.R_FLOAT, DataType.Image.R_DOUBLE or DataType.Image.R_FLOAT_DYNAMIC. The two dimensions must be min(M, N) and N.
Throws
If the usage is not allowed by the SpatialML run-time Framework, or if the framework encounters internal error and cannot perform the requested behavior.