diff --git a/mindinsight/ui/src/locales/en-us.json b/mindinsight/ui/src/locales/en-us.json
index 80c175d6bb87ce61a4fe7385048a95a216273e26..8b682c58cce25d79849925ea62b6f38c8ea8ec04 100644
--- a/mindinsight/ui/src/locales/en-us.json
+++ b/mindinsight/ui/src/locales/en-us.json
@@ -238,6 +238,8 @@
"profilingDashboard": "Profiling Dashboard",
"showAverage": "Average value",
"iterationGapTime": "Step interval",
+ "fpBpTime": "Forward and Backward Propagation",
+ "tailTime": "Step Tail",
"time": "Time",
"operatorTimeConAnalysis": "Operator Time Consumption Analysis",
"avgCost": "Average total consumed time:",
@@ -318,7 +320,7 @@
"pipelineTopTitle": "Average usage of queues between operators",
"pipelineMiddleTitle": "Queue relationship between operators",
"deviceQueueOp": "Data Transmission",
- "deviceQueueOpTip": "Data Transmission Operator",
+ "deviceQueueOpTip": "Forward and Backward Propagation",
"getNext": "Data Obtaining Operator",
"connectorQuene": "Host Queues",
"getData": "Data Obtaining",
@@ -339,9 +341,9 @@
"fpbpTimeRatio": "Ratio of time consumed by forward and backward propagation:",
"iterationGapTimeRatio": "Ratio of time consumed by step interval:",
"iterativeTailingTimeRatio": "Ratio of time consumed by step tail:",
- "dataProcess": "This shows the data processing. Data is stored in the host queue during data processing, and then stored in the data queue on a chip during data transmission. Finally, the data transmission operator get_next transmits the data to forward propagation.",
+ "dataProcess": "This shows the data processing. Data is stored in the host queue during data processing, and then stored in the data queue on a chip during data transmission. Finally, the forward and backward propagation get_next transmits the data to forward propagation.",
"dataProcessInfo": "By determining the empty host and data queues, you can preliminarily determine the stage where the performance is abnormal.",
- "analysisOne": "1. If the step interval is long and some batches of the data queue on a chip are empty, the performance is abnormal during data processing and transmission. Otherwise, locate the internal problem of the data transmission operator get_next.",
+ "analysisOne": "1. If the step interval is long and some batches of the data queue on a chip are empty, the performance is abnormal during data processing and transmission. Otherwise, locate the internal problem of the forward and backward propagation get_next.",
"analysisTwo": "2. If the performance is abnormal during data processing and transmission, check the host queue. If the host queue is empty at a high probability, the exception may occur during data transmission.",
"higherAnalysis": "Note: You can perform advanced analysis based on the time consumed by operators.",
"chipInfo": "Ratio of empty data queues on a chip:",
diff --git a/mindinsight/ui/src/locales/zh-cn.json b/mindinsight/ui/src/locales/zh-cn.json
index a11ba2e915291128005d06dc3b192ad9d17a75dd..f5d73bed72d87dc76dbd1b5e742509632cc1f533 100644
--- a/mindinsight/ui/src/locales/zh-cn.json
+++ b/mindinsight/ui/src/locales/zh-cn.json
@@ -236,6 +236,8 @@
"profilingDashboard": "性能看板",
"showAverage": "展示平均值",
"iterationGapTime": "迭代间隙时间",
+ "fpBpTime": "前向+反向时间",
+ "tailTime": "迭代拖尾时间",
"time": "时间",
"operatorTimeConAnalysis": "算子耗时分析",
"avgCost": "平均总耗时:",
diff --git a/mindinsight/ui/src/router.js b/mindinsight/ui/src/router.js
index aa302e1e5ce3b8a3c2f61851cd0e6ccbd14c6ca7..07092ba250417843e06243d303f916770a22dead 100644
--- a/mindinsight/ui/src/router.js
+++ b/mindinsight/ui/src/router.js
@@ -80,25 +80,24 @@ export default new Router({
},
{
path: '/profiling',
- component: () => import('./views/train-manage/profiling.vue'),
+ component: () => import('./views/profiling/profiling.vue'),
redirect: '/profiling/profiling-dashboard',
children: [
{
path: 'profiling-dashboard',
- component: () =>
- import('./views/train-manage/profiling-dashboard.vue'),
+ component: () => import('./views/profiling/profiling-dashboard.vue'),
},
{
path: 'step-trace',
- component: () => import('./views/train-manage/step-trace.vue'),
+ component: () => import('./views/profiling/step-trace.vue'),
},
{
path: 'operator',
- component: () => import('./views/train-manage/operator.vue'),
+ component: () => import('./views/profiling/operator.vue'),
},
{
path: 'data-process',
- component: () => import('./views/train-manage/data-process.vue'),
+ component: () => import('./views/profiling/data-process.vue'),
},
],
},
diff --git a/mindinsight/ui/src/views/train-manage/data-process.vue b/mindinsight/ui/src/views/profiling/data-process.vue
similarity index 99%
rename from mindinsight/ui/src/views/train-manage/data-process.vue
rename to mindinsight/ui/src/views/profiling/data-process.vue
index 223bb8c6607e6e295dec765556205637caad697b..8728450e7409c916c826245208a7823e2079d065 100644
--- a/mindinsight/ui/src/views/train-manage/data-process.vue
+++ b/mindinsight/ui/src/views/profiling/data-process.vue
@@ -902,7 +902,9 @@ export default {
xAxis: {
name: `${this.$t('profiling.sampleInterval')}/${
data.sample_interval
- }ms`,
+ }ms`
+ .split(' ')
+ .join('\n'),
data: dataY.map((val, index) => index + 1),
},
yAxis: {
diff --git a/mindinsight/ui/src/views/train-manage/operator.vue b/mindinsight/ui/src/views/profiling/operator.vue
similarity index 95%
rename from mindinsight/ui/src/views/train-manage/operator.vue
rename to mindinsight/ui/src/views/profiling/operator.vue
index 307d51f75160cd5c80a02c1029d943d8cf309855..e06dd7d0bcc1d326c40ca49c54452fac5c7bf3a1 100644
--- a/mindinsight/ui/src/views/train-manage/operator.vue
+++ b/mindinsight/ui/src/views/profiling/operator.vue
@@ -108,8 +108,13 @@ limitations under the License.
:sortable="ele === 'op_info' ? false : 'custom'"
:width="(ele==='avg_execution_time'|| ele==='subgraph' ||
ele==='op_name'|| ele==='op_type')?'220':''"
- show-overflow-tooltip
- :label="ele==='avg_execution_time'?`${ele} (${$t('profiling.unit')})`:ele">
+ show-overflow-tooltip>
+
+