" kubernetes.set_image_pull_policy(trainop, \"IfNotPresent\")"
]
},
- {
- "cell_type": "code",
- "execution_count": 5,
- "metadata": {},
- "outputs": [],
- "source": [
- "@dsl.pipeline(\n",
- " name=\"qoe Pipeline\",\n",
- " description=\"qoe\",\n",
- ")\n",
- "def super_model_pipeline( \n",
- " trainingjob_name: str, epochs: str, version: str):\n",
- " \n",
- " train_and_export(trainingjob_name, epochs, version)"
- ]
- },
{
"cell_type": "code",
"execution_count": 6,
"outputs": [],
"source": [
"pipeline_func = super_model_pipeline\n",
- "file_name = \"qoe_model_pipeline3\"\n",
+ "file_name = \"qoe_model_pipeline\"\n",
"\n",
"kfp.compiler.Compiler().compile(pipeline_func, \n",
" '{}.yaml'.format(file_name))"
],
"source": [
"import requests\n",
- "pipeline_name=\"qoe Pipeline\"\n",
+ "pipeline_name=\"qoe_Pipeline\"\n",
"pipeline_file = file_name+'.yaml'\n",
"requests.post(\"http://tm.traininghost:32002/pipelines/{}/upload\".format(pipeline_name), files={'file':open(pipeline_file,'rb')})"
]