TextInput的visibility属性设置为Hide或者None之后是否可获焦 使用Navigation导航时,NavDestination页如何获取路由参数 如何实现跨文件样式复用 如何实现跨文件组件复用 如何在Navigation页面中实现侧滑事件拦截 如何完成挖孔屏的适配 如何实现页面统一置灰功能 如何实现List内拖拽交换子组件位置 如何将ListItem的swipe...
我用单机多卡train model,save intermediate ckpt, 然后resume_from_checkpoint是可以的。 但是多机多卡train model,save intermediate ckpt, 然后resume_from_checkpoint报错 assert len(self.ckpt_list) > 0 Cassieyy commented on Feb 21, 2025 Cassieyy on Feb 21, 2025 Author 我的是多机多卡,global_step*...
Afterbluestore_cache_autotuneis enabled and the OSD is restarted the following line is seen in the backtrace. See diagnostic section for a complete backtrace example. Raw /builddir/build/BUILD/ceph-16.2.10/src/common/PriorityCache.cc: 300: FAILED ceph_assert(mem_avail >= 0) ...
)classModel(nn.Module):def__init__(self)->None:super().__init__()self.q_proj=nn.Linear(d,d,bias=False)self.attnSDPA=AttentionSDPA()defforward(self,x):x=self.q_proj(x).reshape([bs,seqlen,d//64,64])x=self.attnSDPA(x)returnxprint(f"torch=={torch.__version__}")kw=dict(dev...
TextInput的visibility属性设置为Hide或者None之后是否可获焦 使用Navigation导航时,NavDestination页如何获取路由参数 如何实现跨文件样式复用 如何实现跨文件组件复用 如何在Navigation页面中实现侧滑事件拦截 如何完成挖孔屏的适配 如何实现页面统一置灰功能 如何实现List内拖拽交换子组件位置 如何将ListItem的swipe...
instruct is True and isinstance(self.model, CosyVoiceModel): raise ValueError('{} do not support cross_lingual inference'.format(self.model_dir)) for i in tqdm(self.frontend.text_normalize(tts_text, split=True, text_frontend=text_frontend)): model_input = self.frontend.frontend_cross_...
nn.parameter as parameter # Step 1: Define the PyTorch function class StatefulModel(nn.Module): def __init__(self): super(StatefulModel, self).__init__() self.param = parameter.Parameter(torch.tensor(0.0)) def forward(self, x): self.param.data += x return self.param # Step 2: ...
await self._wait("readuntil") File "/home/minamoto/miniconda3/envs/vllm_main/lib/python3.10/site-packages/aiohttp/streams.py", line 344, in _wait await waiter aiohttp.client_exceptions.ClientPayloadError: Response payload is not completed: <TransferEncodingError: 400, message='Not enough data...
While this code works fine on a single 4090 GPU. Loading any model for inference with 2 or 3 RTX 4090 is resulting in the following error: /opt/conda/conda-bld/pytorch_1682343995026/work/aten/src/ATen/native/cuda/IndexKernel.cu:92: operator(): block: [3,0,0], thread: [64,0,0] ...
58] return self._call_impl(*args, **kwargs) ERROR 10-29 18:38:39 async_llm_engine.py:58] ^^^ ERROR 10-29 18:38:39 async_llm_engine.py:58] File "/usr/local/lib/python3.12/dist-packages/torch/nn/modules/module.py", line 1562, in _call_impl ERROR 10-29 18:38:39 async_llm...