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README.md
@@ -101,7 +101,7 @@ two methods. We then associate each such tuple with a ratio of run times taken b
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We perform a sweep of matrix dimensions `d` and `r`, starting with `1` and doubling each time until reaching `32768`.
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The batch dimension is swept similarly until reaching the maximum size of `2048`. The sweeps were performed
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-on a single NVIDIA P-100 GPU with 16 GB of RAM using the code from the [benchmark](tests/benchmark_all.py):
+on a single NVIDIA P-100 GPU with 16 GB of RAM using the code from the [benchmark](tests/benchmark_all.py).
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Since the `ORGQR` function's convention assumes only thin matrices with `d >= r > 0`, we skip the evaluation of fat
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matrices altogether.
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