CUDA with additional MPS and XPU support #1075
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don't know how or to/if need to change these lines or not 67 self.flow.decoder.estimator_engine = trt.Runtime(trt.Logger(trt.Logger.INFO)).deserialize_cuda_engine(f.read()) 103 self.flow.decoder.estimator_engine = trt.Runtime(trt.Logger(trt.Logger.INFO)).deserialize_cuda_engine(f.read()) this line certainly needs to be changed but idk to what 67/336 self.llm_context = torch.cuda.stream(torch.cuda.Stream(self.device)) if torch.cuda.is_available() else nullcontext()
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cosyvoice/cli/model.py 两个 mps 的地方少了引号 |
Thank you! Now type checked & linted. Needs some testing. 我没有安装这个，因为我不知道如何修复这两条线。如果你想和我一起测试，我可以进一步提供帮助。
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RE: #1011
It is a few simple lines that allow MPS and XPU to pass through gatekeeping, enabling GPU other than NVIDIA's to run.
Caches, device setting, and GPU
assertstatements have been changed, though possible I overlooked something.Note: I am unsure of the lines in
cosyvoice/cli/model.pyand whether they need to be changed, this one because I am not familiar with tensorRT:self.flow.decoder.estimator_engine = trt.Runtime(trt.Logger(trt.Logger.INFO)).deserialize_cuda_engine(f.read())And this will assign
nullcontext(), but I know no alternative:67/336
self.llm_context = torch.cuda.stream(torch.cuda.Stream(self.device)) if torch.cuda.is_available() else nullcontext()