【问题描述】Quick BI计算字段支持嵌套几层？【解决方案】计算字段支持引用计算字段，并且计算字段嵌套引用最多支持5层。【适用于】Quick BI 专业版
resnet50_AMP_multi.sh pytorch {path-to-imagenet-in-docker}#单机八卡 kspeed bash./resnet50v1.5/training/AMP/DGXA100_resnet50_AMP_multi.sh kspeed {path-to-imagenet-in-docker}#单机八卡 dali+kspeed bash./resnet50v1.5/training/...
Template name ACS-ECS-BulkyModifyT5InstanceCreditSpecification batch-modifies the credit specification for T5 series instances.Execute Now Template description Changes the performance mode of multiple t5 burstable ...
数据集的获取方式，请参见 ResNet50 v1.5 For PyTorch。ImageNet数据集目录结构如下所示。imagenet├─train│├─n01440764│├─n01440764_10026.JPEG│├─n01440764_10027.JPEG│└─.├─n01443537│└─.└─val├─n01440764│├...
context_manager(args):output=model(images)loss=criterion(output,target)#measure accuracy and record loss acc1,acc5=accuracy(output,target,topk=(1,5))#compute gradient and do optimizer step optimizer.zero_grad()if args.amp_...
动作描述 修改T5系列突发性能实例的运行模式 语法 Action:ACS:ECS:ModifyCreditSpecification Properties:regionId:String instanceId:String creditSpecification:String 属性 属性名称 描述 类型 是否必填 默认值 约束 regionId 地域ID ...
TDDL:t1.id=1 and t2.id=1*/UPDATE t1 SET val=(SELECT val FROM t2 WHERE id=1)WHERE id=1\G*1.row*GROUP_NAME:TEST_DRDS_1485327111630IXLWTEST_DRDS_IGHF_0001_RDS SQL:UPDATE `t1_2` AS `t1` SET `val`=(SELECT val FROM `t2_2` AS `t2...
import tensorflow.compat.v1 as tf import blade.runtime.tensorflow infer_data=np.load('./tf_resnet50_v1.5/test_bc1.npy',allow_pickle=True,encoding='bytes').item()#optimized model produced by blade.optimize model_path='./...
5.16-test with shape[9,3,224,224]-Origin model inference cost:28.83 ms.Optimized model inference cost:5.25 ms.Speed up:5.49 从结果可以看出对于不同Shape的测试数据，优化后模型的推理速度是原始模型的3.94~5.49倍。上述优化结果仅...
Sql compiled:CREATE TABLE tmp_pyodps_59cb5533_6dc3_4b64_9312_b2da29d70cee LIFECYCLE 1 AS SELECT/*+mapjoin(t5)*/t2.`name`,t2.`id`,(IF((t5.`fid_max_1570691133`-t5.`fid_min_1570691133`)=0,0,(t2.`fid`-t5.`fid_min_1570691133`)/...
1 2 2 1 ecs.t5-c1m4.large 2 8.0 25%30 720 0.5 10万 1 2 2 1 ecs.t5-c1m1.xlarge 4 4.0 25%60 1440 0.8 20万 1 2 6 1 ecs.t5-c1m2.xlarge 4 8.0 25%60 1440 0.8 20万 1 2 6 1 ecs.t5-c1m4.xlarge 4 16.0 25%60 1440 0.8 20万 1 2 6 1 ecs...
ARMS告警中，时间设置贯穿整个告警流程，本文介绍了ARMS告警各个时间设置、时间设置的影响及其相互关系。...通知策略 重复通知时间T 5 设置重复通知时间T 5，事件匹配通知策略产生的告警，按照每隔T 5 分钟进行重复通知。
c1m4.large、ecs.e-c4m1.large、ecs.e-c2m1.large 突发性能实例规格族t6 ecs.t6-c1m1.large、ecs.t6-c1m2.large、ecs.t6-c1m4.large、ecs.t6-c2m1.large、ecs.t6-c4m1.large 突发性能实例规格族t5 ecs.t5-c1m1.large、ecs.t5-c1m2.large、...
在HBase中，数据存储在具有行和列的表中，这是与关系数据库（RDBMS）类似的模型，但与之不同的是其具备结构松散、多维有序映射的特点，它的索引排序键由行+列+时间戳组成，HBase表可以被看做一个“稀疏的、分布式的、持久的、多维度有序...{...
c6,r6,hfg6,hfc6,hfr6,g6e,c6e,r6e,re6 t6 t5 g6,c6,r6,hfc6,hfg6,hfr6,g6a,c6a,r6a,re6 g5,g5ne,r5,c5,ic5,hfc5,hfg5 t5,t6 n4,mn4,xn4,e4 g6,c6,r6,hfc6,hfg6,hfr6,g6a,c6a,r6a,re6 g5,g5ne,r5,c5,ic5,hfc5,hfg5 t5,t6 n1,n2,e3,sn1,sn2 ...
name|size-+-archive_file_compression/_t5_oss_741147752563794.gz|23654 archive_file_compression/_t5_oss_741147752633713.gz|23654 archive_file_compression/_t5_oss_741147752828680.gz|23654(3 rows)Zstandard压缩 说明 Zstandard...
name|size-+-archive_file_compression/_t5_oss_741147752563794.gz|23654 archive_file_compression/_t5_oss_741147752633713.gz|23654 archive_file_compression/_t5_oss_741147752828680.gz|23654(3 rows)Zstandard压缩 说明 Zstandard...
name|size-+-archive_file_compression/_t5_oss_741147752563794.gz|23654 archive_file_compression/_t5_oss_741147752633713.gz|23654 archive_file_compression/_t5_oss_741147752828680.gz|23654(3 rows)Zstandard compression ...
name|size-+-archive_file_compression/_t5_oss_741147752563794.gz|23654 archive_file_compression/_t5_oss_741147752633713.gz|23654 archive_file_compression/_t5_oss_741147752828680.gz|23654(3 rows)Zstandard compression ...
左边图展示了数据变化过程，t1-t5代表了事务的时间版本，分别执行了5次数据写入的事务，生成了5个DeltaFile。在t2和t4时刻分别执行了 COMPACTION 操作，生成了两个BaseFile:b1和b2。在具体的查询示例中，例如，begin是t1-1，end是t1，只需...
ecs.re4,ecs.re6,ecs.s6,ecs.se1,ecs.se1ne,ecs.sn1,ecs.sn1ne,ecs.sn2,ecs.sn2nec,ecs.t5,ecs.t6 Red Hat Enterprise Linux 9.6 64位 ARM版 ecs.g8y,ecs.c8y,ecs.r8y,ecs.g6r,ecs.c6r Red Hat Enterprise Linux 9.5 64位 x86 ecs.g9i,ecs....
num,chunk FROM t3),-分别计算 RRF评分 t5 AS(SELECT 1.0/(60+row_num)as score,chunk FROM t2 UNION ALL SELECT 1.0/(60+row_num),chunk FROM t4)-评分进行合并 SELECT sum(score)as score,chunk FROM t5 GROUP BY chunk ORDER BY score ...
num,chunk FROM t3),-分别计算 RRF评分 t5 AS(SELECT 1.0/(60+row_num)as score,chunk FROM t2 UNION ALL SELECT 1.0/(60+row_num),chunk FROM t4)-评分进行合并 SELECT sum(score)as score,chunk FROM t5 GROUP BY chunk ORDER BY score ...
左边图展示了数据变化过程，t1-t5代表了事务的时间版本，分别执行了5次数据写入的事务，生成了5个DeltaFile，在t2和t4时刻分别执行了 Compaction 操作，生成了两个BaseFile:b1和b2，可见b1已经消除了历史中间状态记录（2,a），只保留最新...
we can see that:ClientReadTimeout=T2+T3+T4+T5 APIGatewayBackendTimeout=T2+T3+T4 Therefore,when configuring ClientReadTimeout and APIGatewayBackendTimeout,you must comply with the following rules:The value of API...
t4 as(select_time_,replace(replace(replace(body_template,' QWEN_MODEL ','qwen-turbo'),' SYSTEM_PROMPT ','You are a helpful assistant.'),' USER_PROMPT ',eval)as body,oldeval,trans FROM t3),t5 as(select_time_,http_call('...