| Commit message (Collapse) | Author | Age |
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Change: 115280348
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Change: 115268843
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floats in TensorFlow. The code was tested on Tegra x1.
Change: 115253733
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Change: 114585944
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Eigen::CompleteOrthogonalDecomposition (COD), which I recently contributed to Eigen in https://bitbucket.org/eigen/eigen/pull-requests/163/implement-complete-orthogonal/diff
The advantage of COD over column pivoted QR is that it is able to compute the minimum-norm solution when the matrix is rank-deficient, which is usually the desired behavior and makes it consistent with the fast path.
Change: 114483303
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Change: 114243879
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stability improvements
Change: 113791782
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Change: 113371678
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Change: 113114631
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Change: 112920860
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* Move some checks out of inner loops
* Split the mapper in 2: a base mapper, and a sub-mapper. This reduces the number of variables that are contained in the base mapper and helps reduce register spills
Change: 112809881
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matrix-vector products and provides various fixes for CUDA.
Change: 112298067
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well the crash reported in https://github.com/tensorflow/tensorflow/issues/713.
Change: 111874622
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reductions on GPU"
Change: 111739152
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imported.
Change: 110842260
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Change: 110406666
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