修改国际化信息。

Signed-off-by: zouap <zouap@pcl.ac.cn>

options/locale/locale_en-US.ini

@@ -253,9 +253,9 @@ page_dev_env_desc2_desc=Associate the model with the code version, you can adjus
 page_dev_env_desc3_title=Once Configuration, Multiple Reuse
 page_dev_env_desc3_desc=Provide execution environment sharing, Once Configuration, Multiple Reuse. Lower the threshold of model development, and avoid spending repetitive time configuring complex environments.
 page_dev_yunlao=OpenI AI Collaboration Platform
-page_dev_yunlao_desc1=OpenI AI collaboration platform has cooperated with Pengcheng cloud brain and China computing power network (c ² Net) can be used to complete AI development tasks by using the rich computing resources of Pengcheng cloud brain and China computing network.
+page_dev_yunlao_desc1=OpenI AI collaboration platform has cooperated with Pengcheng cloud brain and China computing power network (C ² Net) can be used to complete AI development tasks by using the rich computing resources of Pengcheng cloud brain and China computing network.
 page_dev_yunlao_desc2=Pengcheng CloudBrain's existing AI computing power is 100p FLOPS@FP16 (billions of half precision floating-point calculations per second), the main hardware infrastructure consists of GPU servers equipped with NVIDIA Tesla V100 and A100, and Atlas 900 AI clusters equipped with Kunpeng and shengteng processors.
-page_dev_yunlao_desc3=China computing power network (c ² Net) phase I can realize high-speed network interconnection between different artificial intelligence computing centers, and realize reasonable scheduling of computing power and flexible allocation of resources. At present, 11 intelligent computing centers have been connected, and the total scale of computing power is 1924p OPS@FP16 。 Qizhi AI collaboration platform has been connected to Pengcheng Cloud Computing Institute, Chengdu Intelligent Computing Center, Zhongyuan Intelligent Computing Center, Hefei brain and other nodes.
+page_dev_yunlao_desc3=China computing power network (C ² Net) phase I can realize high-speed network interconnection between different artificial intelligence computing centers, and realize reasonable scheduling of computing power and flexible allocation of resources. At present, 11 intelligent computing centers have been connected, and the total scale of computing power is 1924p OPS@FP16. OpenI AI collaboration platform has been connected to Pengcheng Cloud Computing Institute, Chengdu Intelligent Computing Center, Zhongyuan Intelligent Computing Center, Hefei brain and other nodes.
 page_dev_yunlao_desc4=Developers can freely select the corresponding computing resources according to the use needs, and can test the adaptability, performance, stability, etc. of the model in different hardware environments.
 page_dev_yunlao_desc5=If your model requires more computing resources, you can also apply for it separately.
 page_dev_yunlao_apply=Apply Separately

templates/repo/cloudbrain/inference/show.tmpl

@@ -495,7 +495,7 @@
                                 <div style="clear:both">
                                         <table style="border:none" class="ui fixed small stackable table">
                                         <thead>
-                                            <tr><th style="color: #8a8e99;font-size:12px" class="three wide left aligned">数据集文件</th>
+                                            <tr><th style="color: #8a8e99;font-size:12px" class="three wide left aligned">{{$.i18n.Tr "dataset.file"}}</th>
                                         </tr></thead>
                                         <tbody>
                                             {{range $m ,$n := $.datasetDownload}}

templates/repo/cloudbrain/show.tmpl

@@ -493,7 +493,7 @@
                              <div style="clear:both">
 								<table style="border:none" class="ui fixed small stackable table">
 								<thead>
-									<tr><th style="color: #8a8e99;font-size:12px" class="three wide left aligned">数据集文件</th>
+									<tr><th style="color: #8a8e99;font-size:12px" class="three wide left aligned">{{$.i18n.Tr "dataset.file"}}</th>
 								</tr></thead>
 								<tbody>
 									{{range $m ,$n := $.datasetDownload}}

templates/repo/cloudbrain/trainjob/show.tmpl

@@ -459,7 +459,7 @@
                                 <div style="clear:both">
 								<table style="border:none" class="ui fixed small stackable table">
 								<thead>
-									<tr><th style="color: #8a8e99;font-size:12px" class="three wide left aligned">数据集文件</th>
+									<tr><th style="color: #8a8e99;font-size:12px" class="three wide left aligned">{{$.i18n.Tr "dataset.file"}}</th>
 								</tr></thead>
 								<tbody>
 									{{range $m ,$n := $.datasetDownload}}

templates/repo/modelarts/inferencejob/show.tmpl

@@ -436,7 +436,7 @@ td, th {
                                     <div style="clear:both">
                                         <table style="border:none" class="ui fixed small stackable table">
                                         <thead>
-                                            <tr><th style="color: #8a8e99;font-size:12px" class="three wide left aligned">数据集文件</th>
+                                            <tr><th style="color: #8a8e99;font-size:12px" class="three wide left aligned">{{$.i18n.Tr "dataset.file"}}</th>
                                         </tr></thead>
                                         <tbody>
                                             {{range $m ,$n := $.datasetDownload}}

templates/repo/modelarts/notebook/show.tmpl

@@ -432,7 +432,7 @@
 							<div style="clear:both">
 								<table style="border:none" class="ui fixed small stackable table">
 								<thead>
-									<tr><th style="color: #8a8e99;font-size:12px" class="three wide center aligned">数据集文件</th>
+									<tr><th style="color: #8a8e99;font-size:12px" class="three wide center aligned">{{$.i18n.Tr "dataset.file"}}</th>
 									<th style="color: #8a8e99;font-size:12px"class="eleven wide">数据集下载地址</th>
 									<th style="color: #8a8e99;font-size:12px" class="two wide center aligned">操作</th>
 								</tr></thead>

templates/repo/modelarts/trainjob/show.tmpl

@@ -478,7 +478,7 @@
                                 <div style="clear:both">
                                     <table style="border:none" class="ui fixed small stackable table">
                                     <thead>
-                                        <tr><th style="color: #8a8e99;font-size:12px" class="three wide left aligned">数据集文件</th>
+                                        <tr><th style="color: #8a8e99;font-size:12px" class="three wide left aligned">{{$.i18n.Tr "dataset.file"}}</th>
                                     </tr></thead>
                                     <tbody>
                                         {{range $m ,$n := $.datasetList}}