fix: 模型评测异步加载等待与多节点路由修复
- eval_runner 等待异步模型加载完成(InferenceSession.wait_until_loaded), 修复 "model load failed: unknown" - 评测算力节点选择:优先页面选择的节点 / 模型所在节点(_select_eval_node), 多节点时不再派发到不可达节点导致连接超时 - 前端评测 GPU 选择改为节点感知(节点:GPU 复合值),透传 compute_node_id, 并检查 startEval 结果展示真实错误 - 大模型评价(judge)使用模型记录的真实 API 模型名(api_model), 避免用平台内部名调用 LLM API 导致 HTTP 400 - 新增后端节点选择与 compute wait_until_loaded 单元测试 Co-Authored-By: Claude <noreply@anthropic.com>
This commit is contained in:
@@ -143,11 +143,15 @@ async function handleSubmit() {
|
||||
submitting.value = true
|
||||
try {
|
||||
const dimensionId = await resolveDimensionId()
|
||||
await startEval({
|
||||
// GPU 选择为「节点:GPU序号」复合值,解析出节点与 GPU 序号,
|
||||
// 多算力节点时必须把节点信息传给后端,否则会派发到错误的算力节点
|
||||
const [gpuNodeId, gpuIndex] = String(taskForm.value.gpu_id).split(':')
|
||||
const evalResult: any = await startEval({
|
||||
eval_task_name: taskForm.value.eval_task_name,
|
||||
eval_type: 'custom',
|
||||
model_id: taskForm.value.model_id,
|
||||
gpu_id: taskForm.value.gpu_id,
|
||||
gpu_id: Number(gpuIndex) || 0,
|
||||
compute_node_id: gpuNodeId || '',
|
||||
dataset_id: taskForm.value.data_source === 'dataset' ? taskForm.value.dataset_id : '',
|
||||
dimension_id: dimensionId,
|
||||
data_source: taskForm.value.data_source,
|
||||
@@ -167,6 +171,10 @@ async function handleSubmit() {
|
||||
output_precision: basicMetricForm.value.output_precision,
|
||||
},
|
||||
})
|
||||
if (evalResult?.status === 'failed' || evalResult?.error) {
|
||||
ElMessage.error(`评测启动失败:${evalResult?.error || '请检查算力节点与模型路径'}`)
|
||||
return
|
||||
}
|
||||
ElMessage.success('评测任务已创建并启动')
|
||||
router.push('/model-eval')
|
||||
} catch (error) {
|
||||
|
||||
Reference in New Issue
Block a user