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[benchmarking] metrics should not fail due to memory issues #2

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KaiWaldrant opened this issue Jul 4, 2024 · 1 comment
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@KaiWaldrant
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There are 2 main reasons for a fail:

  1. Out of memory issue
  2. not enough shared memory: numpy.core._exceptions._ArrayMemoryError: Unable to allocate 201. GiB for an array with shape (483152, 55904) and data type float64
@KaiWaldrant
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This should be fixed with PR #14

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