te')); return $arr; } /* 遍历用户所有主题 * @param $uid 用户ID * @param int $page 页数 * @param int $pagesize 每页记录条数 * @param bool $desc 排序方式 TRUE降序 FALSE升序 * @param string $key 返回的数组用那一列的值作为 key * @param array $col 查询哪些列 */ function thread_tid_find_by_uid($uid, $page = 1, $pagesize = 1000, $desc = TRUE, $key = 'tid', $col = array()) { if (empty($uid)) return array(); $orderby = TRUE == $desc ? -1 : 1; $arr = thread_tid__find($cond = array('uid' => $uid), array('tid' => $orderby), $page, $pagesize, $key, $col); return $arr; } // 遍历栏目下tid 支持数组 $fid = array(1,2,3) function thread_tid_find_by_fid($fid, $page = 1, $pagesize = 1000, $desc = TRUE) { if (empty($fid)) return array(); $orderby = TRUE == $desc ? -1 : 1; $arr = thread_tid__find($cond = array('fid' => $fid), array('tid' => $orderby), $page, $pagesize, 'tid', array('tid', 'verify_date')); return $arr; } function thread_tid_delete($tid) { if (empty($tid)) return FALSE; $r = thread_tid__delete(array('tid' => $tid)); return $r; } function thread_tid_count() { $n = thread_tid__count(); return $n; } // 统计用户主题数大数量下严谨使用非主键统计 function thread_uid_count($uid) { $n = thread_tid__count(array('uid' => $uid)); return $n; } // 统计栏目主题数大数量下严谨使用非主键统计 function thread_fid_count($fid) { $n = thread_tid__count(array('fid' => $fid)); return $n; } ?>python - Possibility to enable multi model endpoint with DeepAR on SageMaker - Stack Overflow

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python - Possibility to enable multi model endpoint with DeepAR on SageMaker - Stack Overflow

programmeradmin2025-02-214浏览0评论

I am working with SageMaker and have a deployed separate real-time endpoints and models for DEV and PROD.

To save costs, I am trying to put both models behind the same endpoint.

While this worked for the AWS RandomCutForest, I am struggling to replicate the process for DeepAR models.

I get the following error:

ClientError: An error occurred (ValidationException) when calling the CreateModel operation: Your Ecr Image XXXX.amazonaws/forecasting-deepar:1 does not contain required com.amazonaws.sagemaker.capabilities.multi-models=true Docker label(s).

My understanding is, that the DeepAR model does not have the necessary capabilities. Does a possibility exist to adjust this or is there a workaround?

I have seen a similar question regarding the RandomCutForest model, , but this seems to be resolved.

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