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你好,使用中我发现如下问题: 在 InternLM-XComposer-2.5-OmniLive 中,我这边使用官方代码执行 examples/infer_audio.py,输出如下: 然后我看代码里使用的 torch.float16 加载的模型,这可能导致了数值精度的问题,当我切换成 bf16 或者 fp32 时,输出如下:
examples/infer_audio.py
想确认下这个回答是符合预期的吗?Classify the audio 这个测试用例,输出是否应该是 cat?
The text was updated successfully, but these errors were encountered:
panzhang0212
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你好,使用中我发现如下问题:
在 InternLM-XComposer-2.5-OmniLive 中,我这边使用官方代码执行
examples/infer_audio.py
,输出如下:然后我看代码里使用的 torch.float16 加载的模型,这可能导致了数值精度的问题,当我切换成 bf16 或者 fp32 时,输出如下:
想确认下这个回答是符合预期的吗?Classify the audio 这个测试用例,输出是否应该是 cat?
The text was updated successfully, but these errors were encountered: