hiyouga
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2946153cea
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add license
Former-commit-id: d87108daa68bd40174b262be1ca65fe6e1b7ab56
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2024-06-15 17:54:33 +08:00 |
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hiyouga
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cae823ddf0
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rename package
Former-commit-id: 308edbc4260d45907b4a9d3a45ec21d83e48aacb
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2024-05-16 18:39:08 +08:00 |
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hiyouga
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f5df1ceaf1
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add npu examples
Former-commit-id: af343034dd31303be59678af9d1eae338864e884
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2024-05-14 23:32:53 +08:00 |
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hoshi-hiyouga
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082506eba8
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Update train.py
Former-commit-id: 1c3c4989022025db756965350ae0381fc9db32e5
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2024-05-14 20:47:52 +08:00 |
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hoshi-hiyouga
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fe586de344
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Apply suggestions from code review
Co-authored-by: Huazhong Ji <hzji210@gmail.com>
Former-commit-id: 9089bc70c8838cb80473e557a750855f7b7a7695
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2024-05-14 20:44:21 +08:00 |
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hoshi-hiyouga
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332f44fa43
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Apply suggestions from code review
Co-authored-by: Huazhong Ji <hzji210@gmail.com>
Former-commit-id: 0ac6e73f9971a9310026ddc609b5266cb1639b64
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2024-05-14 20:44:04 +08:00 |
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zhouwei
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7b0629dac4
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The training efficiency of the Ascend 910A has been significantly enhanced, leveraging the full computational power of the NPU (Neural Processing Unit) and the capabilities of torch_npu, a PyTorch library optimized for NPUs. This improvement has resulted in a remarkable tenfold increase in efficiency.
Former-commit-id: 28ae947161d4670d4f865cbaad84397d47215a53
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2024-05-06 13:29:59 +08:00 |
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hiyouga
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289d1f3679
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update webui and add CLIs
Former-commit-id: 245fe47ece22a4b7822449b126715aaa8ec25aba
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2024-05-03 02:58:23 +08:00 |
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