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Initial code merge of Hopper support (#2036)
The initial code merge of Nvidia Hopper features support. Please be aware that the code merge is not finished yet and the trouble-shooting is still ongoing. The new hardware features (GMMA, TMA, STMATRIX etc.) and automatic warp-specialization are experimental for now and turned off by default. It is recommended for a trial when version 3.0 is released. The work is contributed by: ben-zhang-609, bealwang, donproc, qliu93, jsh20, allatit23, LyricZhao, ivanyinwz, goostavz & yangjunpro from Nvidia, in cooperation with: ptillet, Jokeren, ThomasRaoux & zahimoud from OpenAI. Co-authored-by: Goostav Zhu <gzhu@nvidia.com>
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@@ -56,7 +56,7 @@ matmul_data = {
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(4096, 64, 4096): {'float16': 0.179, 'float32': 0.214, 'int8': 0.102},
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(8192, 64, 8192): {'float16': 0.278, 'float32': 0.000, 'int8': 0.177},
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# test EVEN_K==False
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(8192, 8192, 8176): {'float16': 0.786, 'float32': 0.696, 'int8': 0.51},
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(8192, 8192, 8176): {'float16': 0.786, 'float32': 0.743, 'int8': 0.51},
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}
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}
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