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custom_pipeline_spec.json
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custom_pipeline_spec.json
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{
"pipelineSpec": {
"components": {
"comp-importer": {
"executorLabel": "exec-importer",
"inputDefinitions": {
"parameters": {
"uri": {
"type": "STRING"
}
}
},
"outputDefinitions": {
"artifacts": {
"artifact": {
"artifactType": {
"schemaTitle": "google.UnmanagedContainerModel",
"schemaVersion": "0.0.1"
}
}
}
}
},
"comp-importer-2": {
"executorLabel": "exec-importer-2",
"inputDefinitions": {
"parameters": {
"uri": {
"type": "STRING"
}
}
},
"outputDefinitions": {
"artifacts": {
"artifact": {
"artifactType": {
"schemaTitle": "google.UnmanagedContainerModel",
"schemaVersion": "0.0.1"
}
}
}
}
},
"comp-model-upload": {
"executorLabel": "exec-model-upload",
"inputDefinitions": {
"artifacts": {
"unmanaged_container_model": {
"artifactType": {
"schemaTitle": "google.UnmanagedContainerModel",
"schemaVersion": "0.0.1"
}
}
},
"parameters": {
"artifact_uri": {
"type": "STRING"
},
"description": {
"type": "STRING"
},
"display_name": {
"type": "STRING"
},
"encryption_spec_key_name": {
"type": "STRING"
},
"explanation_metadata": {
"type": "STRING"
},
"explanation_parameters": {
"type": "STRING"
},
"instance_schema_uri": {
"type": "STRING"
},
"labels": {
"type": "STRING"
},
"location": {
"type": "STRING"
},
"parameters_schema_uri": {
"type": "STRING"
},
"prediction_schema_uri": {
"type": "STRING"
},
"project": {
"type": "STRING"
},
"serving_container_args": {
"type": "STRING"
},
"serving_container_command": {
"type": "STRING"
},
"serving_container_environment_variables": {
"type": "STRING"
},
"serving_container_health_route": {
"type": "STRING"
},
"serving_container_image_uri": {
"type": "STRING"
},
"serving_container_ports": {
"type": "STRING"
},
"serving_container_predict_route": {
"type": "STRING"
}
}
},
"outputDefinitions": {
"artifacts": {
"model": {
"artifactType": {
"schemaTitle": "google.VertexModel",
"schemaVersion": "0.0.1"
}
}
},
"parameters": {
"gcp_resources": {
"type": "STRING"
}
}
}
},
"comp-model-upload-2": {
"executorLabel": "exec-model-upload-2",
"inputDefinitions": {
"artifacts": {
"unmanaged_container_model": {
"artifactType": {
"schemaTitle": "google.UnmanagedContainerModel",
"schemaVersion": "0.0.1"
}
}
},
"parameters": {
"artifact_uri": {
"type": "STRING"
},
"description": {
"type": "STRING"
},
"display_name": {
"type": "STRING"
},
"encryption_spec_key_name": {
"type": "STRING"
},
"explanation_metadata": {
"type": "STRING"
},
"explanation_parameters": {
"type": "STRING"
},
"instance_schema_uri": {
"type": "STRING"
},
"labels": {
"type": "STRING"
},
"location": {
"type": "STRING"
},
"parameters_schema_uri": {
"type": "STRING"
},
"prediction_schema_uri": {
"type": "STRING"
},
"project": {
"type": "STRING"
},
"serving_container_args": {
"type": "STRING"
},
"serving_container_command": {
"type": "STRING"
},
"serving_container_environment_variables": {
"type": "STRING"
},
"serving_container_health_route": {
"type": "STRING"
},
"serving_container_image_uri": {
"type": "STRING"
},
"serving_container_ports": {
"type": "STRING"
},
"serving_container_predict_route": {
"type": "STRING"
}
}
},
"outputDefinitions": {
"artifacts": {
"model": {
"artifactType": {
"schemaTitle": "google.VertexModel",
"schemaVersion": "0.0.1"
}
}
},
"parameters": {
"gcp_resources": {
"type": "STRING"
}
}
}
},
"comp-train-custom-model": {
"executorLabel": "exec-train-custom-model",
"inputDefinitions": {
"parameters": {
"experiment_name": {
"type": "STRING"
},
"experiment_run": {
"type": "STRING"
},
"model_name": {
"type": "STRING"
},
"model_version": {
"type": "STRING"
},
"pipeline_version": {
"type": "STRING"
},
"project": {
"type": "STRING"
},
"service_account": {
"type": "STRING"
},
"tensorboard_resource_name": {
"type": "STRING"
},
"train_output_gcs_bucket": {
"type": "STRING"
},
"training_image_uri": {
"type": "STRING"
},
"worker_pool_specs": {
"type": "STRING"
}
}
},
"outputDefinitions": {
"parameters": {
"candidate_tower_dir_uri": {
"type": "STRING"
},
"job_dict_uri": {
"type": "STRING"
},
"query_tower_dir_uri": {
"type": "STRING"
}
}
}
}
},
"deploymentSpec": {
"executors": {
"exec-importer": {
"importer": {
"artifactUri": {
"runtimeParameter": "uri"
},
"metadata": {
"containerSpec": {
"imageUri": "us-docker.pkg.dev/vertex-ai/prediction/tf2-gpu.2-10:latest"
}
},
"typeSchema": {
"schemaTitle": "google.UnmanagedContainerModel",
"schemaVersion": "0.0.1"
}
}
},
"exec-importer-2": {
"importer": {
"artifactUri": {
"runtimeParameter": "uri"
},
"metadata": {
"containerSpec": {
"imageUri": "us-docker.pkg.dev/vertex-ai/prediction/tf2-gpu.2-10:latest"
}
},
"typeSchema": {
"schemaTitle": "google.UnmanagedContainerModel",
"schemaVersion": "0.0.1"
}
}
},
"exec-model-upload": {
"container": {
"args": [
"--type",
"UploadModel",
"--payload",
"{\"display_name\": \"{{$.inputs.parameters['display_name']}}\", \"description\": \"{{$.inputs.parameters['description']}}\", \"predict_schemata\": {\"instance_schema_uri\": \"{{$.inputs.parameters['instance_schema_uri']}}\", \"parameters_schema_uri\": \"{{$.inputs.parameters['parameters_schema_uri']}}\", \"prediction_schema_uri\": \"{{$.inputs.parameters['prediction_schema_uri']}}\"}, \"container_spec\": {\"image_uri\": \"{{$.inputs.parameters['serving_container_image_uri']}}\", \"command\": {{$.inputs.parameters['serving_container_command']}}, \"args\": {{$.inputs.parameters['serving_container_args']}}, \"env\": {{$.inputs.parameters['serving_container_environment_variables']}}, \"ports\": {{$.inputs.parameters['serving_container_ports']}}, \"predict_route\": \"{{$.inputs.parameters['serving_container_predict_route']}}\", \"health_route\": \"{{$.inputs.parameters['serving_container_health_route']}}\"}, \"artifact_uri\": \"{{$.inputs.parameters['artifact_uri']}}\", \"explanation_spec\": {\"parameters\": {{$.inputs.parameters['explanation_parameters']}}, \"metadata\": {{$.inputs.parameters['explanation_metadata']}}}, \"encryption_spec\": {\"kms_key_name\":\"{{$.inputs.parameters['encryption_spec_key_name']}}\"}, \"labels\": {{$.inputs.parameters['labels']}}}",
"--project",
"{{$.inputs.parameters['project']}}",
"--location",
"{{$.inputs.parameters['location']}}",
"--gcp_resources",
"{{$.outputs.parameters['gcp_resources'].output_file}}",
"--executor_input",
"{{$}}"
],
"command": [
"python3",
"-u",
"-m",
"google_cloud_pipeline_components.container.v1.model.upload_model.launcher"
],
"image": "gcr.io/ml-pipeline/google-cloud-pipeline-components:1.0.32"
}
},
"exec-model-upload-2": {
"container": {
"args": [
"--type",
"UploadModel",
"--payload",
"{\"display_name\": \"{{$.inputs.parameters['display_name']}}\", \"description\": \"{{$.inputs.parameters['description']}}\", \"predict_schemata\": {\"instance_schema_uri\": \"{{$.inputs.parameters['instance_schema_uri']}}\", \"parameters_schema_uri\": \"{{$.inputs.parameters['parameters_schema_uri']}}\", \"prediction_schema_uri\": \"{{$.inputs.parameters['prediction_schema_uri']}}\"}, \"container_spec\": {\"image_uri\": \"{{$.inputs.parameters['serving_container_image_uri']}}\", \"command\": {{$.inputs.parameters['serving_container_command']}}, \"args\": {{$.inputs.parameters['serving_container_args']}}, \"env\": {{$.inputs.parameters['serving_container_environment_variables']}}, \"ports\": {{$.inputs.parameters['serving_container_ports']}}, \"predict_route\": \"{{$.inputs.parameters['serving_container_predict_route']}}\", \"health_route\": \"{{$.inputs.parameters['serving_container_health_route']}}\"}, \"artifact_uri\": \"{{$.inputs.parameters['artifact_uri']}}\", \"explanation_spec\": {\"parameters\": {{$.inputs.parameters['explanation_parameters']}}, \"metadata\": {{$.inputs.parameters['explanation_metadata']}}}, \"encryption_spec\": {\"kms_key_name\":\"{{$.inputs.parameters['encryption_spec_key_name']}}\"}, \"labels\": {{$.inputs.parameters['labels']}}}",
"--project",
"{{$.inputs.parameters['project']}}",
"--location",
"{{$.inputs.parameters['location']}}",
"--gcp_resources",
"{{$.outputs.parameters['gcp_resources'].output_file}}",
"--executor_input",
"{{$}}"
],
"command": [
"python3",
"-u",
"-m",
"google_cloud_pipeline_components.container.v1.model.upload_model.launcher"
],
"image": "gcr.io/ml-pipeline/google-cloud-pipeline-components:1.0.32"
}
},
"exec-train-custom-model": {
"container": {
"args": [
"--executor_input",
"{{$}}",
"--function_to_execute",
"train_custom_model"
],
"command": [
"sh",
"-c",
"\nif ! [ -x \"$(command -v pip)\" ]; then\n python3 -m ensurepip || python3 -m ensurepip --user || apt-get install python3-pip\nfi\n\nPIP_DISABLE_PIP_VERSION_CHECK=1 python3 -m pip install --quiet --no-warn-script-location 'google-cloud-aiplatform==1.18.1' 'numpy' 'google-cloud-storage' 'kfp==1.8.18' && \"$0\" \"$@\"\n",
"sh",
"-ec",
"program_path=$(mktemp -d)\nprintf \"%s\" \"$0\" > \"$program_path/ephemeral_component.py\"\npython3 -m kfp.v2.components.executor_main --component_module_path \"$program_path/ephemeral_component.py\" \"$@\"\n",
"\nimport kfp\nfrom kfp.v2 import dsl\nfrom kfp.v2.dsl import *\nfrom typing import *\n\ndef train_custom_model(\n project: str,\n model_version: str,\n pipeline_version: str,\n model_name: str, \n worker_pool_specs: dict,\n # vocab_dict_uri: str, \n train_output_gcs_bucket: str, # change to workdir?\n training_image_uri: str,\n tensorboard_resource_name: str,\n service_account: str,\n experiment_name: str,\n experiment_run: str,\n) -> NamedTuple('Outputs', [\n ('job_dict_uri', str),\n ('query_tower_dir_uri', str),\n ('candidate_tower_dir_uri', str),\n # ('candidate_index_dir_uri', str),\n]):\n\n import logging\n import numpy as np\n import pickle as pkl\n\n from google.cloud import aiplatform as vertex_ai\n from google.cloud import storage\n\n vertex_ai.init(\n project=project,\n location='us-central1',\n )\n\n storage_client = storage.Client()\n\n JOB_NAME = f'train-{model_name}'\n logging.info(f'JOB_NAME: {JOB_NAME}')\n\n BASE_OUTPUT_DIR = f'gs://{train_output_gcs_bucket}/{experiment_name}/{experiment_run}'\n logging.info(f'BASE_OUTPUT_DIR: {BASE_OUTPUT_DIR}')\n\n # logging.info(f'vocab_dict_uri: {vocab_dict_uri}')\n\n logging.info(f'tensorboard_resource_name: {tensorboard_resource_name}')\n logging.info(f'service_account: {service_account}')\n logging.info(f'worker_pool_specs: {worker_pool_specs}')\n\n # ====================================================\n # Launch Vertex job\n # ====================================================\n\n job = vertex_ai.CustomJob(\n display_name=JOB_NAME,\n worker_pool_specs=worker_pool_specs,\n staging_bucket=BASE_OUTPUT_DIR,\n )\n\n logging.info(f'Submitting train job to Vertex AI...')\n\n # try:\n # job.run(\n # tensorboard=tensorboard_resource_name,\n # service_account=f'{service_account}',\n # restart_job_on_worker_restart=False,\n # enable_web_access=True,\n # sync=False,\n # )\n # except Exception as e:\n # # may fail in multi-worker to find startup script\n # logging.info(e)\n\n job.run(\n tensorboard=tensorboard_resource_name,\n service_account=f'{service_account}',\n restart_job_on_worker_restart=False,\n enable_web_access=True,\n sync=False,\n )\n\n # wait for job to complete\n job.wait()\n\n # ====================================================\n # Save job details\n # ====================================================\n\n train_job_dict = job.to_dict()\n logging.info(f'train_job_dict: {train_job_dict}')\n\n # pkl dict to GCS\n logging.info(f\"Write pickled dict to GCS...\")\n TRAIN_DICT_LOCAL = f'train_job_dict.pkl'\n TRAIN_DICT_GCS_OBJ = f'{experiment_name}/{experiment_run}/{TRAIN_DICT_LOCAL}' # destination folder prefix and blob name\n\n logging.info(f\"TRAIN_DICT_LOCAL: {TRAIN_DICT_LOCAL}\")\n logging.info(f\"TRAIN_DICT_GCS_OBJ: {TRAIN_DICT_GCS_OBJ}\")\n\n # pickle\n filehandler = open(f'{TRAIN_DICT_LOCAL}', 'wb')\n pkl.dump(train_job_dict, filehandler)\n filehandler.close()\n\n # upload to GCS\n bucket_client = storage_client.bucket(train_output_gcs_bucket)\n blob = bucket_client.blob(TRAIN_DICT_GCS_OBJ)\n blob.upload_from_filename(TRAIN_DICT_LOCAL)\n\n job_dict_uri = f'gs://{train_output_gcs_bucket}/{TRAIN_DICT_GCS_OBJ}'\n logging.info(f\"{TRAIN_DICT_LOCAL} uploaded to {job_dict_uri}\")\n\n # ====================================================\n # Model and index artifact uris\n # ====================================================\n\n # \"gs://jt-tfrs-output-v2/pipe-dev-2tower-tfrs-jtv10/run-20221228-172834/model-dir/candidate_model\n # \"gs://jt-tfrs-output-v2/pipe-dev-2tower-tfrs-jtv10/run-20221228-172834/model-dir/candidate_tower\"\n\n query_tower_dir_uri = f\"gs://{train_output_gcs_bucket}/{experiment_name}/{experiment_run}/model-dir/query_model\" \n candidate_tower_dir_uri = f\"gs://{train_output_gcs_bucket}/{experiment_name}/{experiment_run}/model-dir/candidate_model\"\n # candidate_index_dir_uri = f\"gs://{output_dir_gcs_bucket_name}/{experiment_name}/{experiment_run}/candidate_model\"\n\n logging.info(f'query_tower_dir_uri: {query_tower_dir_uri}')\n logging.info(f'candidate_tower_dir_uri: {candidate_tower_dir_uri}')\n # logging.info(f'candidate_index_dir_uri: {candidate_index_dir_uri}')\n\n return (\n f'{job_dict_uri}',\n f'{query_tower_dir_uri}',\n f'{candidate_tower_dir_uri}',\n # f'{candidate_index_dir_uri}',\n )\n\n"
],
"image": "python:3.9"
}
}
}
},
"pipelineInfo": {
"name": "trainer-jtv10-2tower-v4"
},
"root": {
"dag": {
"tasks": {
"importer": {
"cachingOptions": {
"enableCache": true
},
"componentRef": {
"name": "comp-importer"
},
"dependentTasks": [
"train-custom-model"
],
"inputs": {
"parameters": {
"uri": {
"taskOutputParameter": {
"outputParameterKey": "query_tower_dir_uri",
"producerTask": "train-custom-model"
}
}
}
},
"taskInfo": {
"name": "Import Query Tower"
}
},
"importer-2": {
"cachingOptions": {
"enableCache": true
},
"componentRef": {
"name": "comp-importer-2"
},
"dependentTasks": [
"train-custom-model"
],
"inputs": {
"parameters": {
"uri": {
"taskOutputParameter": {
"outputParameterKey": "candidate_tower_dir_uri",
"producerTask": "train-custom-model"
}
}
}
},
"taskInfo": {
"name": "Import Candidate Tower"
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