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Is your feature request related to a problem? Please describe.
No
Describe the solution you'd like
Native support for N-Dimension Array with operator overload. This is important for image processing, signal processing and other more advanced algorithms.
Native support for sparse matrix and classical algorithms for sparse matrix, including matrix multiplication, Cholesky, QR, LU decomposition. This is extremely important for data analysis for high dimension data with sparse structure.
Is your feature request related to a problem? Please describe.
No
Describe the solution you'd like
Native support for N-Dimension Array with operator overload. This is important for image processing, signal processing and other more advanced algorithms.
Native support for sparse matrix and classical algorithms for sparse matrix, including matrix multiplication, Cholesky, QR, LU decomposition. This is extremely important for data analysis for high dimension data with sparse structure.
Native support for sparse tensor. A reference: https://www.tensorflow.org/api_docs/python/tf/sparse/SparseTensor
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