id int64 0 190k | prompt stringlengths 21 13.4M | docstring stringlengths 1 12k ⌀ |
|---|---|---|
166,212 | import collections
import copy
import os
from typing import Any, Callable, Dict, List, Optional, Type, cast, MutableMapping
from absl import logging
from kfp import compiler
from kfp import dsl
from kfp import gcp
from kubernetes import client as k8s_client
from tfx import version
from tfx.dsl.compiler import compiler ... | null |
166,213 | import argparse
import copy
import json
import logging
import os
import sys
import textwrap
from typing import cast, Dict, List, Mapping, MutableMapping, Optional, Sequence, Tuple, Union
from tfx import types
from tfx.dsl.compiler import constants
from tfx.orchestration import metadata
from tfx.orchestration.kubeflow.p... | Registers an execution in MLMD. |
166,214 | import argparse
import copy
import json
import logging
import os
import sys
import textwrap
from typing import cast, Dict, List, Mapping, MutableMapping, Optional, Sequence, Tuple, Union
from tfx import types
from tfx.dsl.compiler import constants
from tfx.orchestration import metadata
from tfx.orchestration.kubeflow.p... | Constructs a metadata connection config. Args: kubeflow_metadata_config: Configuration parameters to use for constructing a valid metadata connection config in a Kubeflow cluster. Returns: A Union of metadata_store_pb2.ConnectionConfig and metadata_store_pb2.MetadataStoreClientConfig object. |
166,215 | import argparse
import copy
import json
import logging
import os
import sys
import textwrap
from typing import cast, Dict, List, Mapping, MutableMapping, Optional, Sequence, Tuple, Union
from tfx import types
from tfx.dsl.compiler import constants
from tfx.orchestration import metadata
from tfx.orchestration.kubeflow.p... | Render a Channel as markdown string with the following format. **Type**: input_channel.type_name **Artifact: artifact1** **Properties**: **key1**: value1 **key2**: value2 ...... Args: input_channel: the channel to be rendered. Returns: a md-formatted string representation of the channel. |
166,216 | import argparse
import copy
import json
import logging
import os
import sys
import textwrap
from typing import cast, Dict, List, Mapping, MutableMapping, Optional, Sequence, Tuple, Union
from tfx import types
from tfx.dsl.compiler import constants
from tfx.orchestration import metadata
from tfx.orchestration.kubeflow.p... | Dump KFP UI metadata json file for visualization purpose. For general components we just render a simple Markdown file for exec_properties/inputs/outputs. If the file already exists and is a valid format(have a list of dictionaries in outputs key), we append the existing UI metadata items to our output json file. Args:... |
166,217 | import argparse
import copy
import json
import logging
import os
import sys
import textwrap
from typing import cast, Dict, List, Mapping, MutableMapping, Optional, Sequence, Tuple, Union
from tfx import types
from tfx.dsl.compiler import constants
from tfx.orchestration import metadata
from tfx.orchestration.kubeflow.p... | Gets node of a certain node_id from a pipeline. |
166,218 | import argparse
import copy
import json
import logging
import os
import sys
import textwrap
from typing import cast, Dict, List, Mapping, MutableMapping, Optional, Sequence, Tuple, Union
from tfx import types
from tfx.dsl.compiler import constants
from tfx.orchestration import metadata
from tfx.orchestration.kubeflow.p... | Resolve runtime parameters in the pipeline proto inplace. |
166,219 | import functools
from typing import Any, Dict, List, Type
from airflow import models
from airflow.operators import python_operator
from tfx.dsl.components.base import base_node
from tfx.orchestration import data_types
from tfx.orchestration import metadata
from tfx.orchestration.config import base_component_config
from... | Helper function to launch TFX component execution. This helper function will be called with Airflow env objects which contains run_id that we need to pass into TFX ComponentLauncher. Args: component: TFX BaseComponent instance. This instance holds all inputs and outputs placeholders as well as component properties. com... |
166,220 | from typing import Optional
from absl import logging
from tfx.proto.orchestration import local_deployment_config_pb2
from tfx.proto.orchestration import metadata_pb2
from tfx.proto.orchestration import pipeline_pb2
from google.protobuf import any_pb2
from google.protobuf import message
def _to_local_deployment(
inp... | Extracts the proto.Any pipeline.deployment_config to LocalDeploymentConfig. |
166,221 | from typing import Optional
from absl import logging
from tfx.proto.orchestration import local_deployment_config_pb2
from tfx.proto.orchestration import metadata_pb2
from tfx.proto.orchestration import pipeline_pb2
from google.protobuf import any_pb2
from google.protobuf import message
def _unwrap_executable_spec(
... | null |
166,222 | from typing import Optional
from absl import logging
from tfx.proto.orchestration import local_deployment_config_pb2
from tfx.proto.orchestration import metadata_pb2
from tfx.proto.orchestration import pipeline_pb2
from google.protobuf import any_pb2
from google.protobuf import message
def _unwrap_executable_spec(
... | null |
166,223 | from typing import Optional, Tuple, Type
from tfx.dsl.components.base import base_component
from tfx.orchestration.config import base_component_config
from tfx.orchestration.config import pipeline_config
from tfx.orchestration.launcher import base_component_launcher
The provided code snippet includes necessary depende... | Find a launcher and component config to launch the component. The default lookup logic goes through the `supported_launcher_classes` in sequence for each config from the `default_component_configs`. User can override a single component setting by `component_config_overrides`. The method returns the first component conf... |
166,224 | from typing import Dict, Iterable, List, Mapping, Optional
from tfx import types
from tfx.proto.orchestration import execution_result_pb2
from tfx.proto.orchestration import pipeline_pb2
from tfx.types import artifact_utils
from tfx.utils import json_utils
from tfx.utils import proto_utils
from google.protobuf import m... | Converts input/output artifact dict. |
166,225 | from typing import Dict, Iterable, List, Mapping, Optional
from tfx import types
from tfx.proto.orchestration import execution_result_pb2
from tfx.proto.orchestration import pipeline_pb2
from tfx.types import artifact_utils
from tfx.utils import json_utils
from tfx.utils import proto_utils
from google.protobuf import m... | Converts MLMD value dict into plain value dict. |
166,226 | import copy
import enum
from typing import Any, Collection, Dict, Iterable, Iterator, List, Optional, Tuple, Union, cast
import warnings
from tfx.dsl.compiler import constants
from tfx.dsl.components.base import base_node
from tfx.dsl.components.base import executor_spec
from tfx.dsl.context_managers import dsl_context... | null |
166,227 | import copy
import enum
from typing import Any, Collection, Dict, Iterable, Iterator, List, Optional, Tuple, Union, cast
import warnings
from tfx.dsl.compiler import constants
from tfx.dsl.components.base import base_node
from tfx.dsl.components.base import executor_spec
from tfx.dsl.context_managers import dsl_context... | Enumerate component dependencies arising from data deps between them. Args: components: Components to consider. registry: DslContextRegistry to use for looking up conditional predicates. pipeline: Pipeline object if calling from the context of one. Yields: Pairs of the form (upstream_component, component). If a compone... |
166,228 | from typing import Any, Dict, List, Optional, Union
import jinja2
from tfx import types
from tfx.dsl.component.experimental import executor_specs
from tfx.dsl.component.experimental import placeholders
from tfx.dsl.components.base import executor_spec
def _render_items(items: List[str], context: Dict[str, Any]) -> List... | Resolves Jinja2 template languages from an executor container spec. Args: container_spec_tmpl: the container spec template to be resolved. input_dict: Dictionary of input artifacts consumed by this component. output_dict: Dictionary of output artifacts produced by this component. exec_properties: Dictionary of executio... |
166,229 | from typing import Any, Dict, List, Optional, Union
import jinja2
from tfx import types
from tfx.dsl.component.experimental import executor_specs
from tfx.dsl.component.experimental import placeholders
from tfx.dsl.components.base import executor_spec
The provided code snippet includes necessary dependencies for imple... | Converts a config object to a swagger API dict. This utility method recursively converts swagger code generated configs into a valid swagger dictionary. This method is trying to workaround a bug (https://github.com/swagger-api/swagger-codegen/issues/8948) from swagger generated code Args: config: The config object. It ... |
166,230 | from collections.abc import Container, MutableSequence, Sequence
import inspect
from typing import Any, Callable, TypeVar, get_args, get_origin, Optional
from tfx.dsl.component.experimental import json_compat
from tfx.orchestration.portable import data_types
from tfx.types import artifact
from tfx.types import standard... | null |
166,231 | from collections.abc import Container, MutableSequence, Sequence
import inspect
from typing import Any, Callable, TypeVar, get_args, get_origin, Optional
from tfx.dsl.component.experimental import json_compat
from tfx.orchestration.portable import data_types
from tfx.types import artifact
from tfx.types import standard... | Transforms raw list[Artifact] to target type_hint with type checking. |
166,232 | from typing import Mapping, Optional, Sequence
import uuid
from tfx import types
from tfx.orchestration import data_types_utils
from tfx.orchestration import metadata
from tfx.orchestration.portable import merge_utils
from tfx.orchestration.portable.mlmd import execution_lib
from tfx.proto.orchestration import executio... | Marks an existing execution as using cached outputs from a previous execution. Args: metadata_handle: A handler to access MLMD. contexts: MLMD contexts to associated with the execution. executions: Executions that will be published as CACHED executions. output_artifacts_maps: A list of output artifacts of the execution... |
166,233 | from typing import Mapping, Optional, Sequence
import uuid
from tfx import types
from tfx.orchestration import data_types_utils
from tfx.orchestration import metadata
from tfx.orchestration.portable import merge_utils
from tfx.orchestration.portable.mlmd import execution_lib
from tfx.proto.orchestration import executio... | Marks an existing execution as failed. Args: metadata_handle: A handler to access MLMD. contexts: MLMD contexts to associated with the execution. execution_id: The id of the execution. executor_output: The output of executor. |
166,234 | import sys
import traceback
from typing import Any, Dict, List, Mapping, Optional, Type, TypeVar
from absl import logging
import attr
import grpc
import portpicker
from tfx import types
from tfx.dsl.compiler import placeholder_utils
from tfx.dsl.io import fileio
from tfx.orchestration import data_types_utils
from tfx.o... | Registers an execution in MLMD. |
166,235 | import collections
import copy
import hashlib
from typing import Any, Dict, List, Mapping, Optional, Sequence
from tfx import types
from tfx.dsl.io import fileio
from tfx.orchestration import metadata
from tfx.orchestration.portable.mlmd import context_lib
from tfx.orchestration.portable.mlmd import execution_lib
from ... | Gets cache context for a potential node execution. The cache key is generated by applying SHA-256 hashing function on: - Serialized pipeline info. - Serialized node_info of the PipelineNode. - Serialized executor spec - Serialized input artifacts if any. - Serialized output artifacts if any. The uri was removed during ... |
166,236 | import collections
import copy
import hashlib
from typing import Any, Dict, List, Mapping, Optional, Sequence
from tfx import types
from tfx.dsl.io import fileio
from tfx.orchestration import metadata
from tfx.orchestration.portable.mlmd import context_lib
from tfx.orchestration.portable.mlmd import execution_lib
from ... | Tries to get the cached output artifacts given a cache context. Args: metadata_handle: A handler to access MLMD store. cache_context: The context representing the cache key. Returns: The cached output artifacts in a dict format. None if no qualified cache result is found. |
166,237 | import copy
import sys
from typing import Optional, cast
from tfx.dsl.components.base import base_executor
from tfx.dsl.io import fileio
from tfx.orchestration.portable import base_executor_operator
from tfx.orchestration.portable import data_types
from tfx.orchestration.portable import outputs_utils
from tfx.proto.orc... | Invokes executors given an executor instance and input from the Launcher. Args: execution_info: A wrapper of the details of this execution. executor: An executor instance. Returns: The output from executor. |
166,238 | import collections
import contextlib
from typing import Dict, List, Optional, Sequence, Tuple, TypeVar
from tfx import types
from ml_metadata.proto import metadata_store_pb2
_VALID_OUTPUT_EVENT_TYPES = frozenset([
metadata_store_pb2.Event.OUTPUT, metadata_store_pb2.Event.INTERNAL_OUTPUT,
metadata_store_pb2.Even... | Reconstructs input and output artifact maps from events. |
166,239 | import collections
import contextlib
from typing import Dict, List, Optional, Sequence, Tuple, TypeVar
from tfx import types
from ml_metadata.proto import metadata_store_pb2
The provided code snippet includes necessary dependencies for implementing the `is_pending_output_event` function. Write a Python function `def i... | Returns true if the event represents a pending (not finalized) output. |
166,240 | from __future__ import annotations
import collections
import copy
import itertools
import re
from typing import Any, Dict, Iterable, List, Mapping, Optional, Sequence, Tuple
from absl import logging
from tfx import types
from tfx.orchestration import data_types_utils
from tfx.orchestration import metadata
from tfx.orch... | null |
166,241 | from __future__ import annotations
import collections
import copy
import itertools
import re
from typing import Any, Dict, Iterable, List, Mapping, Optional, Sequence, Tuple
from absl import logging
from tfx import types
from tfx.orchestration import data_types_utils
from tfx.orchestration import metadata
from tfx.orch... | Registers REFERENCE and PENDING output artifacts with the execution. Artifacts in output_artifacts not in state REFERENCE will be given state PENDING. Artifacts in state REFERENCE will keep their state. Each output artifact will be linked to the execution with a PENDING_OUTPUT event. The artifacts will be modified in-p... |
166,242 | from __future__ import annotations
import collections
import copy
import itertools
import re
from typing import Any, Dict, Iterable, List, Mapping, Optional, Sequence, Tuple
from absl import logging
from tfx import types
from tfx.orchestration import data_types_utils
from tfx.orchestration import metadata
from tfx.orch... | Returns executions that are associated with all given contexts. Args: metadata_handle: A handler to access MLMD. contexts: MLMD contexts for which to fetch associated executions. Returns: A list of executions associated with all given contexts. |
166,243 | import collections
import itertools
from typing import Callable, Mapping, Optional, Sequence, Union
from tfx.dsl.compiler import compiler_utils
from tfx.dsl.compiler import constants
from tfx.orchestration.experimental.core import constants as orchestration_constants
from tfx.orchestration.portable.mlmd import event_li... | null |
166,244 | import collections
import itertools
from typing import Callable, Mapping, Optional, Sequence, Union
from tfx.dsl.compiler import compiler_utils
from tfx.dsl.compiler import constants
from tfx.orchestration.experimental.core import constants as orchestration_constants
from tfx.orchestration.portable.mlmd import event_li... | Gets LIVE output artifacts of the given node. The function query is composed of 3 MLMD API calls: 1. Call get_artifacts() to get LIVE artifacts attributed to the given node. 2. Call get_executions() to get executions that created artifacts from step 1. 3. Call get_events_by_execution_ids() and filter artifacts on wheth... |
166,245 | from typing import Any, Dict, List, cast
from absl import logging
from tfx import types
from tfx.dsl.components.common import importer
from tfx.orchestration import data_types_utils
from tfx.orchestration import metadata
from tfx.orchestration.portable import data_types
from tfx.orchestration.portable import execution_... | null |
166,246 | import abc
from typing import Any, Optional
from tfx.dsl.compiler import compiler
from tfx.dsl.components.base import base_component
from tfx.orchestration import pipeline as pipeline_py
from tfx.proto.orchestration import pipeline_pb2
from tfx.utils import doc_controls
The provided code snippet includes necessary dep... | Resolve pip dependencies and compile Pipeline object. |
166,247 | import abc
from typing import Any, Optional
from tfx.dsl.compiler import compiler
from tfx.dsl.components.base import base_component
from tfx.orchestration import pipeline as pipeline_py
from tfx.proto.orchestration import pipeline_pb2
from tfx.utils import doc_controls
The provided code snippet includes necessary dep... | Converts a RunOptions dataclass to proto. |
166,248 | from typing import Dict, Sequence, Union
from absl import logging
from tfx import types
from tfx.dsl.compiler import placeholder_utils
from tfx.orchestration import mlmd_connection_manager as mlmd_cm
from tfx.orchestration.portable.input_resolution import exceptions
from tfx.orchestration.portable.input_resolution impo... | Resolves parameters given parameter spec. Args: node_parameters: The spec to get parameters. Returns: A Dict of parameters. Raises: RuntimeError: When there is at least one parameter still in runtime parameter form. |
166,249 | import collections
import copy
import datetime
import os
from typing import Any, Dict, List, Mapping, Optional, Sequence, Union
import uuid
from absl import logging
from tfx import types
from tfx import version
from tfx.dsl.io import fileio
from tfx.orchestration import data_types_utils
from tfx.orchestration import no... | Remove dirs of output artifacts' URI. |
166,250 | import collections
import copy
import datetime
import os
from typing import Any, Dict, List, Mapping, Optional, Sequence, Union
import uuid
from absl import logging
from tfx import types
from tfx import version
from tfx.dsl.io import fileio
from tfx.orchestration import data_types_utils
from tfx.orchestration import no... | Remove stateful_working_dir. |
166,251 | import collections
import copy
import datetime
import os
from typing import Any, Dict, List, Mapping, Optional, Sequence, Union
import uuid
from absl import logging
from tfx import types
from tfx import version
from tfx.dsl.io import fileio
from tfx.orchestration import data_types_utils
from tfx.orchestration import no... | Copies files from stateful working dir to executor output dir. Will not overwrite any files already existing in the executor output dir. Args: execution_info: Information for the execution that should have its files migrated. files: The relative file paths to be migrated. |
166,252 | import collections
import copy
import datetime
import os
from typing import Any, Dict, List, Mapping, Optional, Sequence, Union
import uuid
from absl import logging
from tfx import types
from tfx import version
from tfx.dsl.io import fileio
from tfx.orchestration import data_types_utils
from tfx.orchestration import no... | Generates a root directory to hold orchestrator generated BCLs for the given node. Args: pipeline_runtime_spec: pipeline runtime specifications. node_id: unique id of the node within the pipeline. Returns: Path to orchestrator generated bcl root dir, which has the format `<node_dir>/.system/orchestrator_generated_bcl` |
166,253 | from concurrent import futures
from typing import Optional
from absl import logging
import grpc
from tfx.orchestration import metadata
from tfx.proto.orchestration import execution_watcher_pb2
from tfx.proto.orchestration import execution_watcher_pb2_grpc
from ml_metadata.proto import metadata_store_pb2
The provided c... | Generates a gRPC service stub for a given server address. |
166,254 | import threading
from tfx.orchestration import data_types_utils
from tfx.orchestration import metadata
from tfx.orchestration.experimental.centralized_kubernetes_orchestrator import kubernetes_job_runner
from tfx.orchestration.experimental.core import task as task_lib
from tfx.orchestration.experimental.core import tas... | Creates an ExecutionInvocation proto with some initial info. |
166,255 | import threading
from tfx.orchestration import data_types_utils
from tfx.orchestration import metadata
from tfx.orchestration.experimental.centralized_kubernetes_orchestrator import kubernetes_job_runner
from tfx.orchestration.experimental.core import task as task_lib
from tfx.orchestration.experimental.core import tas... | Gets corresponding pipeline node from IR given the node_id. |
166,256 | from concurrent import futures
import contextlib
import time
from absl import app
from absl import flags
from absl import logging
import grpc
from tfx.orchestration import metadata
from tfx.orchestration.experimental.centralized_kubernetes_orchestrator import kubernetes_task_scheduler
from tfx.orchestration.experimenta... | Runs the main orchestration loop. |
166,257 | from concurrent import futures
import contextlib
import time
from absl import app
from absl import flags
from absl import logging
import grpc
from tfx.orchestration import metadata
from tfx.orchestration.experimental.centralized_kubernetes_orchestrator import kubernetes_task_scheduler
from tfx.orchestration.experimenta... | Registers task schedulers. |
166,258 | from absl import app
from absl import flags
from absl import logging
from tfx import v1 as tfx
from tfx.orchestration.experimental.centralized_kubernetes_orchestrator import kubernetes_job_runner
from tfx.orchestration.portable import data_types
from tfx.proto.orchestration import pipeline_pb2
from google.protobuf impo... | Prepare sample ImportSchemaGen execution info. |
166,259 | from absl import app
from absl import flags
from absl import logging
from tfx import v1 as tfx
from tfx.orchestration.experimental.centralized_kubernetes_orchestrator import kubernetes_job_runner
from tfx.orchestration.portable import data_types
from tfx.proto.orchestration import pipeline_pb2
from google.protobuf impo... | Prepare sample ImportSchemaGen executable spec. |
166,260 | from absl import app
from absl import flags
import grpc
from tfx.orchestration.experimental.centralized_kubernetes_orchestrator.service.proto import service_pb2
from tfx.orchestration.experimental.centralized_kubernetes_orchestrator.service.proto import service_pb2_grpc
The provided code snippet includes necessary dep... | Echoes user's message. |
166,261 | import abc
import datetime
import random
import string
import time
from absl import logging
from kubernetes import client as k8s_client
from tfx.orchestration.experimental.core import task_scheduler
from tfx.orchestration.python_execution_binary import python_execution_binary_utils
from tfx.utils import kube_utils
from... | null |
166,262 | import absl
from tfx.orchestration import pipeline as pipeline_module
from tfx.orchestration.experimental.kubernetes import kubernetes_dag_runner
from tfx.orchestration.test_pipelines.download_grep_print_pipeline import create_pipeline_component_instances
_pipeline_name = 'download_grep_print_pipeline'
_pipeline_root =... | Create sample container component pipeline. |
166,263 | import os
from typing import List
import absl
import tensorflow_model_analysis as tfma
from tfx.components import CsvExampleGen
from tfx.components import Evaluator
from tfx.components import ExampleValidator
from tfx.components import Pusher
from tfx.components import SchemaGen
from tfx.components import StatisticsGen... | Implements the chicago taxi pipeline with TFX. |
166,264 | import datetime
import json
from typing import List, Optional, Type
from absl import logging
from tfx.dsl.component.experimental import container_component
from tfx.dsl.components.base import base_node
from tfx.orchestration import data_types
from tfx.orchestration import metadata
from tfx.orchestration import pipeline... | Use the kubernetes component launcher to launch the component. Args: component: Container component to be executed. component_launcher_class: The class of the launcher to launch the component. component_config: component config to launch the component. pipeline: Logical pipeline that contains pipeline related informati... |
166,265 | import datetime
import json
import time
from typing import Dict, List
from absl import logging
from kubernetes import client
from tfx.dsl.components.base import base_node
from tfx.dsl.context_managers import dsl_context_registry
from tfx.orchestration import pipeline as tfx_pipeline
from tfx.orchestration.experimental.... | Submits and runs a TFX pipeline from outside the cluster. Args: pipeline: Logical pipeline containing pipeline args and components. tfx_image: Container image URI for the TFX container. Raises: RuntimeError: When an error is encountered running the Kubernetes Job. |
166,266 | import datetime
import json
import time
from typing import Dict, List
from absl import logging
from kubernetes import client
from tfx.dsl.components.base import base_node
from tfx.dsl.context_managers import dsl_context_registry
from tfx.orchestration import pipeline as tfx_pipeline
from tfx.orchestration.experimental.... | Deserializes a TFX pipeline. To be replaced with the the TFX Intermediate Representation: tensorflow/community#271. This deserialization procedure reverses the serialization procedure and reconstructs the pipeline instance. Args: serialized_pipeline: Pipeline JSON string serialized with the procedure from _serialize_pi... |
166,267 | from __future__ import annotations
from typing import Optional
from absl import logging
from tfx.dsl.io import fileio
from tfx.orchestration import data_types_utils
from tfx.orchestration import metadata
from tfx.orchestration.experimental.core import component_generated_alert_pb2
from tfx.orchestration.experimental.co... | Publishes execution results to MLMD for task. |
166,268 | from __future__ import annotations
from typing import Optional
from absl import logging
from tfx.dsl.io import fileio
from tfx.orchestration import data_types_utils
from tfx.orchestration import metadata
from tfx.orchestration.experimental.core import component_generated_alert_pb2
from tfx.orchestration.experimental.co... | Publishes execution result to MLMD for single component run. |
166,269 | import collections
import itertools
import json
import sys
import textwrap
from typing import Callable, Dict, Iterable, List, MutableMapping, Optional, Sequence, Type
import uuid
from absl import logging
import attr
from tfx import types
from tfx.dsl.compiler import constants as context_constants
from tfx.dsl.compiler ... | Returns a `ResolvedInfo` object for executing the node or `None` to skip. Args: mlmd_handle_like: An instance of mlmd handle which connect one MLMD DB, or a MLMDConnectionManager which manages connections to multiple MLMD DBs. node: The pipeline node for which to generate. pipeline: The pipeline proto from which the no... |
166,270 | import collections
import itertools
import json
import sys
import textwrap
from typing import Callable, Dict, Iterable, List, MutableMapping, Optional, Sequence, Type
import uuid
from absl import logging
import attr
from tfx import types
from tfx.dsl.compiler import constants as context_constants
from tfx.dsl.compiler ... | Returns the num of failed executions. Only the executions that have the same external execution index as the failed execution will be counted. Args: executions: An iterable of executions. failed_execution: A failed execution whose execution index will be tested against to count the total number of failed execution. |
166,271 | import collections
import itertools
import json
import sys
import textwrap
from typing import Callable, Dict, Iterable, List, MutableMapping, Optional, Sequence, Type
import uuid
from absl import logging
import attr
from tfx import types
from tfx.dsl.compiler import constants as context_constants
from tfx.dsl.compiler ... | Returns next active execution to run or `None` if no active executions exist. The active execution with lowest index will be returned. Args: executions: A list of executions Returns: An active execution or `None` if there is no active execution. |
166,272 | import collections
import itertools
import json
import sys
import textwrap
from typing import Callable, Dict, Iterable, List, MutableMapping, Optional, Sequence, Type
import uuid
from absl import logging
import attr
from tfx import types
from tfx.dsl.compiler import constants as context_constants
from tfx.dsl.compiler ... | Registers a list of new executions from a list of failed/canceled executions. |
166,273 | import collections
import itertools
import json
import sys
import textwrap
from typing import Callable, Dict, Iterable, List, MutableMapping, Optional, Sequence, Type
import uuid
from absl import logging
import attr
from tfx import types
from tfx.dsl.compiler import constants as context_constants
from tfx.dsl.compiler ... | Registers multiple executions in MLMD. Along with the execution: - the input artifacts will be linked to the executions. - the contexts will be linked to both the executions and its input artifacts. Args: metadata_handle: A handler to access MLMD. execution_type: The type of the execution. contexts: MLMD contexts to as... |
166,274 | import collections
import itertools
import json
import sys
import textwrap
from typing import Callable, Dict, Iterable, List, MutableMapping, Optional, Sequence, Type
import uuid
from absl import logging
import attr
from tfx import types
from tfx.dsl.compiler import constants as context_constants
from tfx.dsl.compiler ... | Copies artifact types of external artifacts to local db. Args: local_mlmd_handle: A handle to access local MLMD db. artifacts: A list of artifacts. Returns: A list of updated artifacts |
166,275 | import collections
import itertools
import json
import sys
import textwrap
from typing import Callable, Dict, Iterable, List, MutableMapping, Optional, Sequence, Type
import uuid
from absl import logging
import attr
from tfx import types
from tfx.dsl.compiler import constants as context_constants
from tfx.dsl.compiler ... | Get a list of unprocessed input from resolved_info. Args: metadata_handle: A handle to access local MLMD db. resolved_info: Resolved input of a node. It may contain processed and unprocessed input. node: The pipeline node of the input. Returns: A list of InputAndParam that have not been processed. |
166,276 | import collections
import itertools
import json
import sys
import textwrap
from typing import Callable, Dict, Iterable, List, MutableMapping, Optional, Sequence, Type
import uuid
from absl import logging
import attr
from tfx import types
from tfx.dsl.compiler import constants as context_constants
from tfx.dsl.compiler ... | Interprets `Status` from given failed execution. Args: execution: An execution with last_known_state=FAILED. Returns: A `Status` object interpreted from the execution state. Raises: ValueError: If the given execution has `last_known_state` other than `FAILED`. |
166,277 | import collections
import itertools
import json
import sys
import textwrap
from typing import Callable, Dict, Iterable, List, MutableMapping, Optional, Sequence, Type
import uuid
from absl import logging
import attr
from tfx import types
from tfx.dsl.compiler import constants as context_constants
from tfx.dsl.compiler ... | Generates tasks for node an execution. Args: metadata_handle: Handle to interact with MLMD. node: Node to tasks for. execution: Metadata execution to generate tasks for. input_and_param: Inputs and param for node execution. contexts: Contexts for node execution. pipeline: Pipeline for this execution. execution_node_sta... |
166,278 | import os
import tempfile
from typing import Optional, Callable
from absl import app
from absl import flags
from tfx.dsl.compiler import constants
from tfx.orchestration import metadata
from tfx.orchestration.experimental.core import pipeline_ops
from tfx.orchestration.experimental.core import pipeline_state as pstate
... | Returns a MetadataStore for performing MLMD API calls. |
166,279 | import os
import tempfile
from typing import Optional, Callable
from absl import app
from absl import flags
from tfx.dsl.compiler import constants
from tfx.orchestration import metadata
from tfx.orchestration.experimental.core import pipeline_ops
from tfx.orchestration.experimental.core import pipeline_state as pstate
... | null |
166,280 | import collections
import contextlib
import copy
import dataclasses
import datetime
import functools
import itertools
import os
import random
import threading
import time
from typing import Callable, Dict, List, Mapping, Optional, Sequence
from absl import logging
import attr
from tfx import types
from tfx.dsl.io impor... | Decorator factory for pipeline ops. |
166,281 | import collections
import contextlib
import copy
import dataclasses
import datetime
import functools
import itertools
import os
import random
import threading
import time
from typing import Callable, Dict, List, Mapping, Optional, Sequence
from absl import logging
import attr
from tfx import types
from tfx.dsl.io impor... | Stops a single pipeline. Convenience wrapper around stop_pipelines. |
166,282 | import collections
import contextlib
import copy
import dataclasses
import datetime
import functools
import itertools
import os
import random
import threading
import time
from typing import Callable, Dict, List, Mapping, Optional, Sequence
from absl import logging
import attr
from tfx import types
from tfx.dsl.io impor... | Initiates a node start operation for a pipeline node. Args: mlmd_handle: A handle to the MLMD db. node_uid: Uid of the node to be started. Returns: The `PipelineState` object upon success. Raises: status_lib.StatusNotOkError: Failure to initiate node start operation. |
166,283 | import collections
import contextlib
import copy
import dataclasses
import datetime
import functools
import itertools
import os
import random
import threading
import time
from typing import Callable, Dict, List, Mapping, Optional, Sequence
from absl import logging
import attr
from tfx import types
from tfx.dsl.io impor... | Initiates a node backfill operation for a pipeline node. Only works on ASYNC pipelines. Doesn't work on nodes within subpipelines. Args: mlmd_handle: A handle to the MLMD db. node_uid: Uid of the node to be backfilled. Returns: The `PipelineState` object upon success. Raises: status_lib.StatusNotOkError: Failure to ini... |
166,284 | import collections
import contextlib
import copy
import dataclasses
import datetime
import functools
import itertools
import os
import random
import threading
import time
from typing import Callable, Dict, List, Mapping, Optional, Sequence
from absl import logging
import attr
from tfx import types
from tfx.dsl.io impor... | Stops a node. Initiates a node stop operation and waits for the node execution to become inactive. Args: mlmd_handle: A handle to the MLMD db. node_uid: Uid of the node to be stopped. timeout_secs: Amount of time in seconds to wait for node to stop. If `None`, waits indefinitely. Raises: status_lib.StatusNotOkError: Fa... |
166,285 | import collections
import contextlib
import copy
import dataclasses
import datetime
import functools
import itertools
import os
import random
import threading
import time
from typing import Callable, Dict, List, Mapping, Optional, Sequence
from absl import logging
import attr
from tfx import types
from tfx.dsl.io impor... | Resumes a manual node. Args: mlmd_handle: A handle to the MLMD db. node_uid: Uid of the manual node to be resumed. Raises: status_lib.StatusNotOkError: Failure to resume a manual node. |
166,286 | import collections
import contextlib
import copy
import dataclasses
import datetime
import functools
import itertools
import os
import random
import threading
import time
from typing import Callable, Dict, List, Mapping, Optional, Sequence
from absl import logging
import attr
from tfx import types
from tfx.dsl.io impor... | Deletes a pipeline run. Mark the pipeline run execution custom_priority['deleted'] to true and pipeline run output artifacts as DELETED. Args: mlmd_handle: A handle to the MLMD db. pipeline_id: id of the pipeline which has the pipeline run. pipeline_run_id: id of the pipeline run will be deleted. Raises: status_lib.Sta... |
166,287 | import collections
import contextlib
import copy
import dataclasses
import datetime
import functools
import itertools
import os
import random
import threading
import time
from typing import Callable, Dict, List, Mapping, Optional, Sequence
from absl import logging
import attr
from tfx import types
from tfx.dsl.io impor... | Updates an active pipeline with a new pipeline IR. Initiates a pipeline update operation and waits for it to finish. Args: mlmd_handle: A handle to the MLMD db. pipeline: New pipeline IR to be applied. update_options: Selection of active nodes to be reloaded upon update. timeout_secs: Timeout in seconds to wait for the... |
166,288 | import collections
import contextlib
import copy
import dataclasses
import datetime
import functools
import itertools
import os
import random
import threading
import time
from typing import Callable, Dict, List, Mapping, Optional, Sequence
from absl import logging
import attr
from tfx import types
from tfx.dsl.io impor... | Resumes a pipeline run from previously failed nodes. Upon success, MLMD is updated to signal that the pipeline must be started. Args: mlmd_handle: A handle to the MLMD db. pipeline: IR of the pipeline to resume. run_id: the run_id of the pipeline run to resume. Returns: The `PipelineState` object upon success. Raises: ... |
166,289 | import collections
import contextlib
import copy
import dataclasses
import datetime
import functools
import itertools
import os
import random
import threading
import time
from typing import Callable, Dict, List, Mapping, Optional, Sequence
from absl import logging
import attr
from tfx import types
from tfx.dsl.io impor... | Revives a pipeline run from previously failed nodes. Args: mlmd_handle: A handle to the MLMD db. pipeline_id: The id (name) of the pipeline to resume. pipeline_run_id: the run_id of the pipeline run to resume. pipeline_to_update_with: Optionally an IR to update to for the revived run. Returns: The `PipelineState` objec... |
166,290 | import collections
import contextlib
import copy
import dataclasses
import datetime
import functools
import itertools
import os
import random
import threading
import time
from typing import Callable, Dict, List, Mapping, Optional, Sequence
from absl import logging
import attr
from tfx import types
from tfx.dsl.io impor... | Returns filter_fn for orchestrate for the given pipeline_uid. |
166,291 | import collections
import contextlib
import copy
import dataclasses
import datetime
import functools
import itertools
import os
import random
import threading
import time
from typing import Callable, Dict, List, Mapping, Optional, Sequence
from absl import logging
import attr
from tfx import types
from tfx.dsl.io impor... | Publishes an intermediate artifact. Args: mlmd_handle: A handle to the MLMD database. execution_id: The ID of the execution which generates the artifact. output_key: The output key of the artifact. properties: Properties of the artifact. custom_properties: Custom properties of the artifact. external_uri: The external U... |
166,292 | import base64
import contextlib
import copy
import dataclasses
import functools
import json
import os
import threading
import time
from typing import Any, Callable, Dict, Iterator, List, Mapping, Optional, Set, Tuple
import uuid
from absl import logging
import attr
from tfx import types
from tfx.dsl.io import fileio
fr... | null |
166,293 | import base64
import contextlib
import copy
import dataclasses
import functools
import json
import os
import threading
import time
from typing import Any, Callable, Dict, Iterator, List, Mapping, Optional, Set, Tuple
import uuid
from absl import logging
import attr
from tfx import types
from tfx.dsl.io import fileio
fr... | Records current time at the point of function call as state change time. This function may be called after any operation that changes pipeline state or node execution state that requires further processing in the next iteration of the orchestration loop. As an optimization, the orchestration loop can elide wait period ... |
166,294 | import base64
import contextlib
import copy
import dataclasses
import functools
import json
import os
import threading
import time
from typing import Any, Callable, Dict, Iterator, List, Mapping, Optional, Set, Tuple
import uuid
from absl import logging
import attr
from tfx import types
from tfx.dsl.io import fileio
fr... | null |
166,295 | import base64
import contextlib
import copy
import dataclasses
import functools
import json
import os
import threading
import time
from typing import Any, Callable, Dict, Iterator, List, Mapping, Optional, Set, Tuple
import uuid
from absl import logging
import attr
from tfx import types
from tfx.dsl.io import fileio
fr... | Returns all of the orchestrator contexts. |
166,296 | import base64
import contextlib
import copy
import dataclasses
import functools
import json
import os
import threading
import time
from typing import Any, Callable, Dict, Iterator, List, Mapping, Optional, Set, Tuple
import uuid
from absl import logging
import attr
from tfx import types
from tfx.dsl.io import fileio
fr... | Returns pipeline id from orchestrator reserved context. |
166,297 | import base64
import contextlib
import copy
import dataclasses
import functools
import json
import os
import threading
import time
from typing import Any, Callable, Dict, Iterator, List, Mapping, Optional, Set, Tuple
import uuid
from absl import logging
import attr
from tfx import types
from tfx.dsl.io import fileio
fr... | Returns `True` if the `node_uid` belongs to the given pipeline. |
166,298 | import base64
import contextlib
import copy
import dataclasses
import functools
import json
import os
import threading
import time
from typing import Any, Callable, Dict, Iterator, List, Mapping, Optional, Set, Tuple
import uuid
from absl import logging
import attr
from tfx import types
from tfx.dsl.io import fileio
fr... | null |
166,299 | import base64
import contextlib
import copy
import dataclasses
import functools
import json
import os
import threading
import time
from typing import Any, Callable, Dict, Iterator, List, Mapping, Optional, Set, Tuple
import uuid
from absl import logging
import attr
from tfx import types
from tfx.dsl.io import fileio
fr... | Returns the orchestrator context of a particular pipeline. |
166,300 | import base64
import contextlib
import copy
import dataclasses
import functools
import json
import os
import threading
import time
from typing import Any, Callable, Dict, Iterator, List, Mapping, Optional, Set, Tuple
import uuid
from absl import logging
import attr
from tfx import types
from tfx.dsl.io import fileio
fr... | null |
166,301 | import base64
import contextlib
import copy
import dataclasses
import functools
import json
import os
import threading
import time
from typing import Any, Callable, Dict, Iterator, List, Mapping, Optional, Set, Tuple
import uuid
from absl import logging
import attr
from tfx import types
from tfx.dsl.io import fileio
fr... | null |
166,302 | import base64
import contextlib
import copy
import dataclasses
import functools
import json
import os
import threading
import time
from typing import Any, Callable, Dict, Iterator, List, Mapping, Optional, Set, Tuple
import uuid
from absl import logging
import attr
from tfx import types
from tfx.dsl.io import fileio
fr... | null |
166,303 | import base64
import contextlib
import copy
import dataclasses
import functools
import json
import os
import threading
import time
from typing import Any, Callable, Dict, Iterator, List, Mapping, Optional, Set, Tuple
import uuid
from absl import logging
import attr
from tfx import types
from tfx.dsl.io import fileio
fr... | Records (previous) node states for nodes that are skipped in partial run. |
166,304 | import base64
import contextlib
import copy
import dataclasses
import functools
import json
import os
import threading
import time
from typing import Any, Callable, Dict, Iterator, List, Mapping, Optional, Set, Tuple
import uuid
from absl import logging
import attr
from tfx import types
from tfx.dsl.io import fileio
fr... | Returns pipeline execution mode given pipeline-level execution. |
166,305 | import base64
import contextlib
import copy
import dataclasses
import functools
import json
import os
import threading
import time
from typing import Any, Callable, Dict, Iterator, List, Mapping, Optional, Set, Tuple
import uuid
from absl import logging
import attr
from tfx import types
from tfx.dsl.io import fileio
fr... | null |
166,306 | import base64
import contextlib
import copy
import dataclasses
import functools
import json
import os
import threading
import time
from typing import Any, Callable, Dict, Iterator, List, Mapping, Optional, Set, Tuple
import uuid
from absl import logging
import attr
from tfx import types
from tfx.dsl.io import fileio
fr... | null |
166,307 | import base64
import contextlib
import copy
import dataclasses
import functools
import json
import os
import threading
import time
from typing import Any, Callable, Dict, Iterator, List, Mapping, Optional, Set, Tuple
import uuid
from absl import logging
import attr
from tfx import types
from tfx.dsl.io import fileio
fr... | null |
166,308 | import copy
import threading
from typing import Callable, Optional
from absl import flags
from absl import logging
from tfx.orchestration import metadata
from tfx.orchestration.experimental.core import pipeline_ops
from tfx.orchestration.experimental.core import pipeline_state as pstate
from tfx.orchestration.experimen... | Rewrites the subpipeline IR so that it can be run independently. Args: original_ir: Original subpipeline IR that is produced by compiler. execution_id: The ID of Subpipeline task scheduler Execution. It is used to generated a new pipeline run id. Returns: An updated subpipeline IR that can be run independently. |
166,309 | import collections
import textwrap
from typing import Callable, Dict, List, Mapping, Optional, Set
from absl import logging
from tfx.orchestration import node_proto_view
from tfx.orchestration.experimental.core import mlmd_state
from tfx.orchestration.experimental.core import pipeline_state as pstate
from tfx.orchestra... | Returns the nodes that are marked as skipped in partial run or by user. |
166,310 | import collections
import textwrap
from typing import Callable, Dict, List, Mapping, Optional, Set
from absl import logging
from tfx.orchestration import node_proto_view
from tfx.orchestration.experimental.core import mlmd_state
from tfx.orchestration.experimental.core import pipeline_state as pstate
from tfx.orchestra... | Returns pipeline nodes in topologically sorted layers. |
166,311 | import collections
import textwrap
from typing import Callable, Dict, List, Mapping, Optional, Set
from absl import logging
from tfx.orchestration import node_proto_view
from tfx.orchestration.experimental.core import mlmd_state
from tfx.orchestration.experimental.core import pipeline_state as pstate
from tfx.orchestra... | Returns node_ids of all unrunnable descendant nodes for each member of the given failed_node_ids set. |
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