)]}'
{
  "commit": "75bacedf7dbe568671acedd1518d2eeb48300f23",
  "tree": "c4549fcd750439e0256fae72489f712a7dcc0cda",
  "parents": [
    "fd6197ce0ef5794bba455fe6f907dcdabcf624eb"
  ],
  "author": {
    "name": "Dmitriy Korchemkin",
    "email": "dmitriy.korchemkin@gmail.com",
    "time": "Mon Jun 19 18:00:28 2023 +0000"
  },
  "committer": {
    "name": "Dmitriy Korchemkin",
    "email": "dmitriy.korchemkin@gmail.com",
    "time": "Fri Jul 14 18:12:20 2023 +0000"
  },
  "message": "CUDA partitioned matrix view\n\nConverts BlockSparseMatrix into two instances of CudaSparseMatrix,\ncorresponding to left and right sub-matrix.\n\nValues of submatrix E are always just copied as-is, and values of\nsubmatrix F are copied if each row-block of F submatrix satisfies\nat least one of the following conditions:\n - There is atmost one cell in row-block\n - Row block has height of 1 row\nOtherwise, indices of values in CRS order corresponding to value indices\nin block-sparse order are computed on-the-fly.\n\nChange-Id: I14eee00c36ee74b6b83fc85927907641383abfc7\n",
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