RPC 异步执行装饰器 本教程演示了如何使用@rpc.functions.async_execution装饰器构建批处理 RPC 应用程序,这有助于通过减少被阻塞的 RPC 线程的数量,并且在被调用方整合 CUDA 操作来加快训练速度。这与使用 TorchServer 进行批量推理的想法相同。Batch RPC 有助于将动作整合到较少的 CUDA 操作中,从而摊销开销。 注...
@rpc.functions.async_execution 装饰器,它允许应用程序告诉被调用者,本目标函数将返回一个future,并且可以在执行过程中多次暂停和yield。 使用这两个工具,应用程序代码可以将用户函数分解为多个较小的函数,将它们链接在一起作为Future 对象的回调方法,并返回包含最终结果的 F...
def( "_invoke_rpc_python_udf", [](const WorkerInfo& dst, std::string& pickledPythonUDF, std::vector<torch::Tensor>& tensors, const float rpcTimeoutSeconds, const bool isAsyncExecution) { return std::make_shared<jit::PythonFutureWrapper>(pyRpcPythonUdf( dst, pickledPythonUDF, # 对应了...
asyncfetch(request,env){ usingcounter=awaitenv.COUNTER_SERVICE.newCounter(); awaitcounter.increment(2);// returns 2 awaitcounter.increment(1);// returns 3 awaitcounter.increment(-5);// returns -2 constcount=awaitcounter.value;// returns -2 ...
constboolisAsyncExecution) { if(torch::autograd::profiler::profilerEnabled() && //This dummy tensor holds an at::RecordFunction when profiling is enabled. //This is because at::RecordFunction is not yet registered as a TorchScript //custom class (https://github.com/pytorch/pytorch/issues/35...
The RpcCancelThread function should not be used to cancel asynchronous RPC calls; instead, use the RpcAsyncCancelCall function to cancel an asynchronous RPC call. RpcCancelThreadEx The RpcCancelThreadEx function stops the execution of a thread. RpcCertGeneratePrincipalName The RpcCertGeneratePrincipal...
A proper web-compatible runtime environment is required. Thus Node.js will not work. Deno should work, but it currently has some issues with the interaction between WebAssembly and async execution. Development of Remoc is partially sponsored byENQT GmbH. ...
This table lists only the most common values that can be returned by all RPC functions. See the individual method descriptions for lists of the specific return codes each can return.
3.Microsoft.Azure.Functions.Worker.Extensions.Http.AspNetCore.DefaultHttpCoordinator.SetFunctionContextAsync(String invocationId, FunctionContext context) 4.Microsoft.Azure.Functions.Worker.Extensions.Http.AspNetCore.FunctionsHttpProxyingMiddleware.Invoke(FunctionContext context, F...
前文我们给出了分布式autograd的设计思路,本文开始,我们进行具体源码分析。因为无论是前向传播还是反向传播,都需要依赖 RPC 来完成,所以我们先看看封装于 RPC 之上的一些基本功能,比如初始化,代理(RPC 相关功能都是基于代理完成),消息接受,发送等等。 [源码解析] PyTorch 分布式 Autograd (2) --- RPC基础 目录...