本文整理汇总了Python中detectron.core.config.cfg.USE_NCCL属性的典型用法代码示例。如果您正苦于以下问题：Python cfg.USE_NCCL属性的具体用法？Python cfg.USE_NCCL怎么用？Python cfg.USE_NCCL使用的例子？那么恭喜您, 这里精选的属性代码示例或许可以为您提供帮助。您也可以进一步了解该属性所在类detectron.core.config.cfg的用法示例。
在下文中一共展示了cfg.USE_NCCL属性的1个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: _add_allreduce_graph
# 需要导入模块: from detectron.core.config import cfg [as 别名]
# 或者: from detectron.core.config.cfg import USE_NCCL [as 别名]
def _add_allreduce_graph(model):
"""Construct the graph that performs Allreduce on the gradients."""
# Need to all-reduce the per-GPU gradients if training with more than 1 GPU
all_params = model.TrainableParams()
assert len(all_params) % cfg.NUM_GPUS == 0
# The model parameters are replicated on each GPU, get the number
# distinct parameter blobs (i.e., the number of parameter blobs on
# each GPU)
params_per_gpu = int(len(all_params) / cfg.NUM_GPUS)
with c2_utils.CudaScope(0):
# Iterate over distinct parameter blobs
for i in range(params_per_gpu):
# Gradients from all GPUs for this parameter blob
gradients = [
model.param_to_grad[p] for p in all_params[i::params_per_gpu]
]
if len(gradients) > 0:
if cfg.USE_NCCL:
model.net.NCCLAllreduce(gradients, gradients)
else:
muji.Allreduce(model.net, gradients, reduced_affix='')