model=torch.jit.load(model_pt_path)else:#infer and return resultreturnmodel(data) 这个入口点涉及两种情况: TorchServe 被要求扩展模型,增加后端进程(CPUs or GPUs)的数量 (基于PUT/models/{model_name}的请求 或者 初始化进程数时POST/models 请求或者 TorchServe 启动时使用--models选项 (torchserve--start...
Possumwood is a graph-based procedural authoring tool, in concept not dissimilar to popular CG packages like Houdini, Blender or Maya. It is intended to serve as a sandbox for computer graphics algorithms and libraries, providing a user-friendly and codi
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and return exports /***/ // This entry module depends on other loaded chunks and execution need to be delayed /***/ var __webpack_exports__ = __webpack_require__.O(undefined, [504], function () { return __webpack_require__(6220); }) /***/ __webpack_exports__ = __webpac...
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:hidden_states=self.model(input_ids,positions,kv_caches,attn_metadata,intermediate_tensors)returnhidden_statesdefcompute_logits(self,hidden_states:torch.Tensor,sampling_metadata:SamplingMetadata,)->Optional[torch.Tensor]:logits=self.logits_processor(self.lm_head,hidden_states,sampling_metadata)returnlogits...
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Transform raw input into model input data. :param batch: list of raw requests, should match batch size :return: list of preprocessed model input data """ # Take the input data and make it inference ready preprocessed_data = data[0].get("data") ...