我们看到 Stage-5 是根,也就是最先执行 Stage-5,Stage-2 依赖 Stage-5,Stage-0 依赖 Stage-2。 2. 首先执行 Stage-5: ?
Stage-5 is filtered out by condition resolver. Hadoop) 2021-04-08 23:06:24,405 Stage-2 map = 100%, reduce = 0% Ended Job = job_local2065691620_0003 Stage
Stage-1 , consists of Stage-3, Stage-2, Stage-4 Stage-3 Stage-0 depends on stages: Stage-3, Stage-2, Stage -5 Stage-8 depends on stages: Stage-0 Stage-2 Stage-4 Stage-5 depends on stages: Stage-4 Stage-7 serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe name: default.atable Stage: Stage
Stage-5 is filtered out by condition resolver. Stage-5 is filtered out by condition resolver. Stage-5 is filtered out by condition resolver. Stage-5 is filtered out by condition resolver. Stage-5 is filtered out by condition resolver.
Stage-5 is filtered out by condition resolver. Stage-5 is filtered out by condition resolver. Stage-5 is filtered out by condition resolver.
backbone网络可以基于ResNet-50与MobileNet实现,以ResNet-50网络为例,卷积层被分为五个阶段,输出的特征feature maps下采样倍数分别为2、4、8、16、32,在stage -5中采用空洞卷积,保持输出分辨率与输入分辨率不变,对stage-2~stage-5的feature maps进行合并输出,在合并之前,针对不尺度的feature maps进行反卷积处理,得到相同的尺度
Stage-5 is filtered out by condition resolver. Stage-5 is filtered out by condition resolver.
stages: Stage-1 Stage-3 depends on stages: Stage-2, Stage-6, Stage-9 Stage-12 is a root stage Stage -5 depends on stages: Stage-12 Stage-6 depends on stages: Stage-5 Stage-13 is a root stage Stage
Stage-5 is filtered out by condition resolver. Stage-5 is filtered out by condition resolver. Stage-5 is filtered out by condition resolver.
Stage-5 is filtered out by condition resolver.
Stage-5 is filtered out by condition resolver. Stage-5 is filtered out by condition resolver.
Stage-5 is filtered out by condition resolver.
Stage-5 is filtered out by condition resolver.
Stage-5 is filtered out by condition resolver.
采用U-shape结构对全局特征进行上采样,并将其与编码阶段的后2个阶段(Stage-4和Stage-5)的特征进行组合。
Stage-5 is filtered out by condition resolver.
INFO : Stage-5 is filtered out by condition resolver.
Command = /home/hadoop-2.5/bin/hadoop job -kill job_1547622676146_0027 Hadoop job information for Stage -5: number of mappers: 1; number of reducers: 0 2019-01-16 01:03:28,599 Stage-5 map = 0%, reduce = 0% 2019-01-16 01:03:41,568 Stage-5 map = 100%, reduce = 0%, Cumulative CPU 1.83 sec MapReduce Total cumulative
Stage-5 is filtered out by condition resolver.
28 Stage-4 is selected by condition resolver. 29 Stage-3 is filtered out by condition resolver. 30 Stage MapReduce Total cumulative CPU time: 1 seconds 460 msec 80 Ended Job = job_1512874725514_0007 81 Stage