voidProcessGroupNCCL::WorkNCCL::synchronizeStreams(){for(constautoi:c10::irange(devices_.size())){autocurrentStream=at::cuda::getCurrentCUDAStream(devices_[i].index());// Block the current stream on the NCCL stream(*ncclEndEvents_)[i].block(currentStream);}if(avoidRecordStreams_){stashed...
record_stream(main_stream) return outputs @staticmethod def backward(ctx, *grad_output): return None, None, None, Gather.apply(ctx.input_device, ctx.dim, *grad_output) comm.scatter 依赖于 C++,就不介绍了。 回顾DP 代码块,我们已经运行完 scatter函数,即将一个 batch 近似等分成更小的 batch。接...
def next(self): torch.cuda.current_stream().wait_stream(self.stream) input = self.next_input target = self.next_target if input is not None: input.record_stream(torch.cuda.current_stream()) if target is not None: target.record_stream(torch.cuda.current_stream()) self.preload() return ...
paInt16 CHANNELS = 1 RATE = 44100 RECORD_SECONDS = 6 WAVE_OUTPUT_FILENAME = "infer_audio.wav" # 打开录音 p = pyaudio.PyAudio() stream = p.open(format=FORMAT, channels=CHANNELS, rate=RATE, input=True, frames_per_buffer=CHUNK) # 读取音频数据 def load_data(data_path): # 读取音频 ...
问RuntimeError: PytorchStreamReader定位文件失败data.pkl:文件未找到EN在上图中显示了下载驱动文件失败，...
if record_stream: nt.record_stream(s) return data_ptrs # expect memory reuse when record_stream() is not run data_ptrs = fn(record_stream=False) nt, nt_data_ptrs = _create_nt() self.assertEqual(data_ptrs, nt_data_ptrs) del nt torch.cuda.synchronize() # expect memory to be preser...
'record_stream', 'refine_names', 'register_hook', 'reinforce', 'relu', 'relu_', 'remainder', 'remainder_', 'rename', 'rename_', 'renorm', 'renorm_', 'repeat', 'repeat_interleave', 'requires_grad', 'requires_grad_', 'reshape', 'reshape_as', 'resize', 'resize_', 'resize_...
skip_trackers[i].copy(batches[i], prev_stream, next_stream, ns, name)ifj !=0: prev_stream = copy_streams[j-1][i] copy(batches[i], prev_stream, next_stream) 具体depend 代码如下: defdepend(fork_from: Batch, join_to: Batch) ->None: ...
Support record_stream() for NJT … 2fb0c2f This was referenced Oct 1, 2024 Fix wrapper subclass serialization with custom sizes / strides #137030 Open Fix NJT serialization #137031 Open pytorch-bot bot commented Oct 1, 2024 • edited 🔗 Helpful Links 🧪 See artifacts and ...
stream = cuda.Stream() #预处理输入数据。 host_input = np.array(preprocess_image("dog.jpg").numpy(), dtype=np.float32, order='C') cuda.memcpy_htod_async(device_input, host_input, stream) #运行推理。 start = time.time() context.execute_async(bindings=[int(device_input), int(device...