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 ...
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...
{"numpy", (PyCFunction)THPVariable_numpy, METH_NOARGS, NULL}, {"record_stream", (PyCFunction)THPVariable_record_stream, METH_O, NULL}, {"requires_grad_", (PyCFunction)THPVariable_requires_grad_, METH_VARARGS | METH_KEYWORDS, NULL}, {"short", (PyCFunction)THPVariable_short, METH_NOARGS,...
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 ...
Stream Ptr AscendCL流的内存地址,用于标记不同的AscendCL流。 Device Type 设备类型和设备ID,仅涉及NPU。 图6 operator_memory 放大 operator_memory.csv文件由profile_memory开关控制,文件包含算子的内存占用明细,主要记录算子在NPU上执行所需内存及占用时间,其中内存由PTA和GE申请。字段信息如表3所示。 说...
profiler.record_function('nll_calc'): nll = nll * weight[target] nll = nll/ weight[target].sum() sum_nll = nll.sum() return sum_nll 请注意,这个问题也存在于基础实验中,但被我们之前的性能问题隐藏了。在性能优化过程中,以前被其他问题隐藏的严重问题突然以这种方式出现的情况并不罕见。 对调用...
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: fork_from[0], phony = fork(fork_from[0]) join_to[0] = join(join_to[0], phony) ...
Define the record_stream method in native_functions.yaml (#44301) Add CUDA 11.1 docker build (#46283) Add nvtx.range() context manager (#42925) CUDA BFloat16 gelu, hardswish, hardsigmoid (#44997) [ROCm] enable stream priorities (#47136) Add bfloat support for torch.randn and torch....
EXCEPTION STREAM: Exception info:TGID=2574935, model id=65535, stream id=16, stream phase=SCHEDULE Message info[0]:RTS_HWTS: hwts sdma error, slot_id=33, stream_id=16 Other info[0]:time=2024-04-03-11:37:01.699.592, function=hwts_sdma_error_slot_proc, line=758, error code=0x20b...