id int64 0 190k | prompt stringlengths 21 13.4M | docstring stringlengths 1 12k ⌀ |
|---|---|---|
166,412 | import json
import os
import re
from typing import List
from absl import logging
from packaging import version
from tfx.types import artifact as artifact_lib
from ml_metadata.proto import metadata_store_pb2
The provided code snippet includes necessary dependencies for implementing the `encode_split_names` function. Wr... | Get the encoded representation of a list of split names. |
166,413 | import typing
from typing import Callable, Dict, Iterable, Iterator, List, Optional, Sequence, Set, Type, cast
from tfx.dsl.placeholder import placeholder as ph
from tfx.proto.orchestration import placeholder_pb2
from tfx.types import artifact
from tfx.types import channel
The provided code snippet includes necessary ... | Converts BaseChannel into a list of Channels. |
166,414 | import typing
from typing import Callable, Dict, Iterable, Iterator, List, Optional, Sequence, Set, Type, cast
from tfx.dsl.placeholder import placeholder as ph
from tfx.proto.orchestration import placeholder_pb2
from tfx.types import artifact
from tfx.types import channel
The provided code snippet includes necessary ... | Returns the union of channels. All channels should have the same artifact type, otherwise an error would be raised. Returned channel deduplicates the inputs so each artifact is guaranteed to be present at most once. `union()` does NOT guarantee any ordering of artifacts for the consumer component. Args: channels: An it... |
166,415 | import typing
from typing import Callable, Dict, Iterable, Iterator, List, Optional, Sequence, Set, Type, cast
from tfx.dsl.placeholder import placeholder as ph
from tfx.proto.orchestration import placeholder_pb2
from tfx.types import artifact
from tfx.types import channel
The provided code snippet includes necessary ... | Helper function to construct a query to get artifacts from an external pipeline. Args: artifact_type: Subclass of Artifact for this channel. owner: Owner of the pipeline. pipeline_name: Name of the pipeline the artifacts belong to. producer_component_id: Id of the component produces the artifacts. output_key: The outpu... |
166,416 | import typing
from typing import Callable, Dict, Iterable, Iterator, List, Optional, Sequence, Set, Type, cast
from tfx.dsl.placeholder import placeholder as ph
from tfx.proto.orchestration import placeholder_pb2
from tfx.types import artifact
from tfx.types import channel
The provided code snippet includes necessary ... | Unwraps a `x.future()[0].value` placeholder and returns its `x`. Args: placeholder: A placeholder expression. Returns: The (only) channel involved in the expression. Raises: ValueError: If the input placeholder is anything more complex than `some_channel.future()[0].value`, and in particular if it involves multiple cha... |
166,417 | import copy
import inspect
import itertools
from typing import Any, Dict, List, Mapping, Optional, Type, cast
from tfx.dsl.component.experimental.json_compat import check_strict_json_compat
from tfx.dsl.placeholder import placeholder
from tfx.types import artifact
from tfx.types import channel
from tfx.types.system_exe... | Replaces RuntimeParameter by its ptype's default. Args: data: an object possibly containing RuntimeParameter. Returns: A version of input data where RuntimeParameters are replaced with the default values of their ptype. |
166,418 | from __future__ import annotations
import abc
import copy
import dataclasses
import inspect
import json
import textwrap
from typing import Any, Dict, Generic, Iterable, List, Optional, Sequence, Set, Type, TypeVar, Union, cast
from absl import logging
from tfx.dsl.placeholder import artifact_placeholder
from tfx.types ... | null |
166,419 | from __future__ import annotations
import abc
import copy
import dataclasses
import inspect
import json
import textwrap
from typing import Any, Dict, Generic, Iterable, List, Optional, Sequence, Set, Type, TypeVar, Union, cast
from absl import logging
from tfx.dsl.placeholder import artifact_placeholder
from tfx.types ... | null |
166,420 | from __future__ import annotations
import abc
import copy
import dataclasses
import inspect
import json
import textwrap
from typing import Any, Dict, Generic, Iterable, List, Optional, Sequence, Set, Type, TypeVar, Union, cast
from absl import logging
from tfx.dsl.placeholder import artifact_placeholder
from tfx.types ... | Convenient method to combine multiple input channels into union channel. |
166,421 | import argparse
import base64
import json
from typing import List, Tuple
import absl
from absl import app
from absl.flags import argparse_flags
from tfx.dsl.components.base import base_beam_executor
from tfx.dsl.components.base import base_executor
from tfx.types import artifact_utils
from tfx.utils import import_utils... | r"""Select a particular executor and run it based on name. # pylint: disable=line-too-long _run_executor() is used to invoke a class subclassing tfx.dsl.components.base.base_executor.BaseExecutor. This function can be used for both invoking the executor on remote environments as well as for unit testing of executors. H... |
166,422 | import argparse
import base64
import json
from typing import List, Tuple
import absl
from absl import app
from absl.flags import argparse_flags
from tfx.dsl.components.base import base_beam_executor
from tfx.dsl.components.base import base_executor
from tfx.types import artifact_utils
from tfx.utils import import_utils... | Parses command line arguments. # pylint: disable=line-too-long Args: argv: Unparsed arguments for run_executor.py --executor_class_path: Python class of executor in format of <module>.<class>. --temp_directory_path: Common temp directory path for executors. --inputs: JSON serialized dict of input artifacts. If the inpu... |
166,423 | import os
import sys
from typing import List, Optional
from tfx.dsl.components.base import base_beam_executor
from tfx.dsl.components.base import base_executor
from tfx.types import channel_utils
from tfx.types.artifact import PropertyType
from tfx.utils import import_utils
from tfx.utils import proto_utils
from google... | r"""Loads a component, instantiates it with arguments and runs its executor. The component class is instantiated, so the component code is executed, not just the executor code. To pass artifact URI, use <input_name>_uri argument name. To pass artifact property, use <input_name>_<property> argument name. Protobuf proper... |
166,424 | from typing import Dict, List, Optional
from tfx import types
from tfx.dsl.input_resolution import resolver_op
from tfx.dsl.input_resolution.ops import ops_utils
from tfx.dsl.input_resolution.ops import training_range_op
from tfx.orchestration.portable.input_resolution import exceptions
from tfx.utils import typing_uti... | Checks that the input_dict is properly formatted. |
166,425 | import collections
from typing import List, Iterable, Tuple
from tfx.dsl.input_resolution import resolver_op
from tfx.orchestration.portable.input_resolution import exceptions
from tfx.utils import typing_utils
from ml_metadata.proto import metadata_store_pb2
The provided code snippet includes necessary dependencies f... | Gets artifact_id pair of neighbors from the list of Events. Artifact a and b is considered neighbor if there exist events e1 and e2 s.t. (e1.artifact_id = a) AND (e2.artifact_id = b) AND (e1.execution_id = e2.execution_id) Args: events: A list of MLMD Events. Yields: Edge as a tuple (artifact_id_1, artifact_id_2). |
166,426 | import collections
from typing import List, Iterable, Tuple
from tfx.dsl.input_resolution import resolver_op
from tfx.orchestration.portable.input_resolution import exceptions
from tfx.utils import typing_utils
from ml_metadata.proto import metadata_store_pb2
The provided code snippet includes necessary dependencies f... | Finds disjoint sets. |
166,427 | from typing import Dict, Type, Union
from tfx.dsl.components.common import resolver
from tfx.dsl.input_resolution import resolver_op
from tfx.dsl.input_resolution.ops import all_spans_op
from tfx.dsl.input_resolution.ops import consecutive_spans_op
from tfx.dsl.input_resolution.ops import equal_property_values_op
from ... | null |
166,428 | import functools
from typing import Dict, List, Optional, Sequence, Set
from tfx import types
from tfx.orchestration.portable.input_resolution import exceptions
from tfx.orchestration.portable.mlmd import filter_query_builder as q
from tfx.utils import typing_utils
from ml_metadata.proto import metadata_store_pb2
The ... | Returns a filter query for valid artifact states. |
166,429 | import functools
from typing import Dict, List, Optional, Sequence, Set
from tfx import types
from tfx.orchestration.portable.input_resolution import exceptions
from tfx.orchestration.portable.mlmd import filter_query_builder as q
from tfx.utils import typing_utils
from ml_metadata.proto import metadata_store_pb2
The ... | Validates that the argument is >= a min value and/or <= a max value. |
166,430 | import functools
from typing import Dict, List, Optional, Sequence, Set
from tfx import types
from tfx.orchestration.portable.input_resolution import exceptions
from tfx.orchestration.portable.mlmd import filter_query_builder as q
from tfx.utils import typing_utils
from ml_metadata.proto import metadata_store_pb2
The ... | Returns artifacts that have the required property names and types. |
166,431 | import functools
from typing import Dict, List, Optional, Sequence, Set
from tfx import types
from tfx.orchestration.portable.input_resolution import exceptions
from tfx.orchestration.portable.mlmd import filter_query_builder as q
from tfx.utils import typing_utils
from ml_metadata.proto import metadata_store_pb2
The ... | Filters artifacts by their "span" PROPERTY. This should only be used a shared utility for LatestSpan and ConsecutiveSpans. Args: artifacts: The list of Artifacts to filter. span_descending: If true, then the artifacts will be sorted by span in descending order. Else, they will be sorted in ascending order by span. Set ... |
166,432 | import functools
from typing import Dict, List, Optional, Sequence, Set
from tfx import types
from tfx.orchestration.portable.input_resolution import exceptions
from tfx.orchestration.portable.mlmd import filter_query_builder as q
from tfx.utils import typing_utils
from ml_metadata.proto import metadata_store_pb2
The ... | Sorts the artifact dict values by (creation time, id). |
166,433 | from typing import Any, List, Sequence
from tfx import types
from tfx.dsl.input_resolution import resolver_op
from tfx.dsl.input_resolution.ops import ops_utils
from tfx.orchestration.portable.input_resolution import exceptions
from tfx.orchestration.portable.mlmd import event_lib
from tfx.types import artifact_utils
f... | Checks that input_list contains only a single Model, and returns it. |
166,434 | from typing import Any, List, Sequence
from tfx import types
from tfx.dsl.input_resolution import resolver_op
from tfx.dsl.input_resolution.ops import ops_utils
from tfx.orchestration.portable.input_resolution import exceptions
from tfx.orchestration.portable.mlmd import event_lib
from tfx.types import artifact_utils
f... | ContainsTrainingRange implementation, for shared use across ResolverOps. Returns the Examples artifact the Model was trained on. Note that only the standard TFleX Model and Examples artifacts are supported. Args: store: The MetadataStore. model: The Model artifact whose trained Examples to return. use_transformed_examp... |
166,435 | from __future__ import annotations
import abc
from typing import Any, Generic, Literal, Mapping, Optional, Sequence, Set, Type, TypeVar, Union
import attr
from tfx import types
from tfx.proto.orchestration import pipeline_pb2
from tfx.utils import json_utils
from tfx.utils import typing_utils
import ml_metadata as mlmd... | Get `InputNode`s that are used to produce the given `output_node`. |
166,436 | from typing import Dict, List, Optional, Any
from tfx import types
from tfx.dsl.components.common import resolver
from tfx.utils import doc_controls
import ml_metadata as mlmd
def _get_span_custom_property(artifact: types.Artifact) -> int:
# For backward compatibility, span may be stored as a string.
str_span = ar... | null |
166,437 | from typing import Optional, Sequence, Union
from absl import logging
from tfx.dsl.input_resolution import resolver_function
from tfx.dsl.input_resolution.ops import ops
from tfx.types import artifact
from tfx.types import channel as channel_types
The provided code snippet includes necessary dependencies for implement... | Returns the n latest createst artifacts, ties broken by artifact id. Args: artifacts: The artifacts to filter. n: The number of latest artifacts to return, must be > 0. Returns: The n latest artifacts. |
166,438 | from typing import Optional, Sequence, Union
from absl import logging
from tfx.dsl.input_resolution import resolver_function
from tfx.dsl.input_resolution.ops import ops
from tfx.types import artifact
from tfx.types import channel as channel_types
The provided code snippet includes necessary dependencies for implement... | Returns the n latest version artifacts, ties broken by artifact id. Args: artifacts: The artifacts to filter. n: The number of latest artifacts to return, must be > 0. Returns: The n latest artifacts. |
166,439 | from typing import Optional, Sequence, Union
from absl import logging
from tfx.dsl.input_resolution import resolver_function
from tfx.dsl.input_resolution.ops import ops
from tfx.types import artifact
from tfx.types import channel as channel_types
The provided code snippet includes necessary dependencies for implement... | Returns artifacts with spans in [start_span, end_span] inclusive. This resolver function is based on the span-version semantics, which only considers the latest version of each span. If you want to keep all versions, then set keep_all_versions=True. Input artifacts must have both "span" int property and "version" int p... |
166,440 | from typing import Optional, Sequence, Union
from absl import logging
from tfx.dsl.input_resolution import resolver_function
from tfx.dsl.input_resolution.ops import ops
from tfx.types import artifact
from tfx.types import channel as channel_types
The provided code snippet includes necessary dependencies for implement... | Returns artifacts with spans in a rolling range. A rolling range covers the latest (largest) spans. It's calculated in the following order: 1. Sort the artifacts by span in ascending order. 2. Remove the last skip_num_recent_spans number of spans (removing the largest spans). 3. Select the last num_spans number of span... |
166,441 | from typing import Optional, Sequence, Union
from absl import logging
from tfx.dsl.input_resolution import resolver_function
from tfx.dsl.input_resolution.ops import ops
from tfx.types import artifact
from tfx.types import channel as channel_types
The provided code snippet includes necessary dependencies for implement... | Returns the sorted artifacts with unique spans. By default, all artifacts with unique spans (ties broken by latest version) are returned. Example usage: Consider 6 artifacts with: spans = [1, 3, 3, 2, 8, 7] versions = [0, 0, 1, 0, 1, 2] all_spans() will return artifacts: spans = [1, 2, 3, 7, 8] versions = [0, 0, 1, 2, ... |
166,442 | from typing import Optional, Sequence, Union
from absl import logging
from tfx.dsl.input_resolution import resolver_function
from tfx.dsl.input_resolution.ops import ops
from tfx.types import artifact
from tfx.types import channel as channel_types
The provided code snippet includes necessary dependencies for implement... | Shuffles the artifacts (in a uniform random way) by span. Example usage: Consider 4 artifacts with: spans = [1, 2, 3, 4] shuffle() will return artifacts randomly shuffled, e.g.: spans = [3, 4, 2, 1] Args: artifacts: The artifacts to filter. Returns: The randomly shuffled artifacts. |
166,443 | from typing import Optional, Sequence, Union
from absl import logging
from tfx.dsl.input_resolution import resolver_function
from tfx.dsl.input_resolution.ops import ops
from tfx.types import artifact
from tfx.types import channel as channel_types
The provided code snippet includes necessary dependencies for implement... | Returns the artifacts in the latest COMPLETE pipeline run. Example usage: producer_pipeline = Pipeline(outputs={ 'examples': example_gen.outputs['examples'], 'schema': schema_gen.outputs['schema'] }) consumer_pipeline_inputs = PipelineInputs( latest_pipeline_run_outputs(producer_pipeline), output_keys=['examples', 'sch... |
166,444 | from typing import Optional, Sequence, Union
from absl import logging
from tfx.dsl.input_resolution import resolver_function
from tfx.dsl.input_resolution.ops import ops
from tfx.types import artifact
from tfx.types import channel as channel_types
The provided code snippet includes necessary dependencies for implement... | Output type inferrer of resolver function latest_pipeline_run_outputs. Args: pipeline: The pipeline producing the artifacts. output_keys: (Optional) A list of output keys. If provided, only the artifacts of the key in this list will return by this function, otherwise, all available output keys of the producer pipeline ... |
166,445 | from typing import Optional, Sequence, Union
from absl import logging
from tfx.dsl.input_resolution import resolver_function
from tfx.dsl.input_resolution.ops import ops
from tfx.types import artifact
from tfx.types import channel as channel_types
The provided code snippet includes necessary dependencies for implement... | Returns artifacts with spans in a sequential rolling range. Sequential rolling range is a sliding window on the oldest consecutive spans. The consecutive spans must be in the range: [start_span_number, max_span - skip_num_recent_spans], where max_span is the maximum span present in the artifacts. This range is modified... |
166,446 | from typing import Optional, Sequence, Union
from absl import logging
from tfx.dsl.input_resolution import resolver_function
from tfx.dsl.input_resolution.ops import ops
from tfx.types import artifact
from tfx.types import channel as channel_types
def _infer_seqential_rolling_range_type(channel, **kwargs): # pylint: ... | null |
166,447 | from typing import Optional, Sequence, Union
from absl import logging
from tfx.dsl.input_resolution import resolver_function
from tfx.dsl.input_resolution.ops import ops
from tfx.types import artifact
from tfx.types import channel as channel_types
The provided code snippet includes necessary dependencies for implement... | Pairs up Examples from different channels, matching by (span, version). This enables grouping together Artifacts from separate channels. Example usage: NOTE: Notation here is `{artifact_type}:{span}:{version}` >>> paired_spans({'x': channel([X:0:0, X:0:1, X:1:0, X:2:0]), 'y': channel([Y:0:0, Y:0:1, Y:1:0, Y:3:0])}) Loo... |
166,448 | from typing import Optional, Sequence, Union
from absl import logging
from tfx.dsl.input_resolution import resolver_function
from tfx.dsl.input_resolution.ops import ops
from tfx.types import artifact
from tfx.types import channel as channel_types
The provided code snippet includes necessary dependencies for implement... | Returns artifacts with matching property values. Example usage: Consider artifacts [A, B, C] with bool property 'blessed' set to [True, True, False]. filter_property_equal( [A, B, C], property_key='blessed', property_value=False, ) will return [C]. Args: artifacts: The list of artifacts to filter. key: The property key... |
166,449 | from typing import Optional, Sequence, Union
from absl import logging
from tfx.dsl.input_resolution import resolver_function
from tfx.dsl.input_resolution.ops import ops
from tfx.types import artifact
from tfx.types import channel as channel_types
The provided code snippet includes necessary dependencies for implement... | Returns artifacts with matching custom property values. Example usage: Consider artifact [A, B, C] with int custom property 'purity' set to [1, 1, 2]. filter_custom_property_equal( [A, B, C], property_key='purity', property_value=2, ) will return [C]. Args: artifacts: The list of artifacts to filter. key: The property ... |
166,450 | from typing import Optional, Sequence, Union
from absl import logging
from tfx.dsl.input_resolution import resolver_function
from tfx.dsl.input_resolution.ops import ops
from tfx.types import artifact
from tfx.types import channel as channel_types
def _slice(artifacts, **kwargs):
# It's important to not pass the None... | Pick an i'th artifact from channel. Like in python, negative indexing is allowed. If the index is out of range, in synchronous pipeline it raises an error and the component would not get executed. In asynchronous pipeline, it will wait until the input length is sufficient to handle the index. Usage: ```python # In ASYN... |
166,451 | from typing import Optional, Sequence, Union
from absl import logging
from tfx.dsl.input_resolution import resolver_function
from tfx.dsl.input_resolution.ops import ops
from tfx.types import artifact
from tfx.types import channel as channel_types
def _slice(artifacts, **kwargs):
# It's important to not pass the None... | Pick slice(start, stop) of the input artifacts. Like in python, negative indexing is allowed. If the range is larger than the number of artifacts in the channel, then like in python slice, the result would be truncated to the available values. You can use min_count to ensure the range has enough values. In synchronous ... |
166,452 | from typing import Optional, Sequence, Union
from absl import logging
from tfx.dsl.input_resolution import resolver_function
from tfx.dsl.input_resolution.ops import ops
from tfx.types import artifact
from tfx.types import channel as channel_types
The provided code snippet includes necessary dependencies for implement... | Returns artifacts with a sliding window applied. For example, for a channel with artifacts [A, B, C, D] and window_size = 2, [[A, B], [B, C], [C, D]] will be returned. For Examples artifacts, sequential_rolling_range() should be used instead. Because sliding_window() returns multiple windows, it must be used together w... |
166,453 | from typing import Optional, Sequence, Union
from absl import logging
from tfx.dsl.input_resolution import resolver_function
from tfx.dsl.input_resolution.ops import ops
from tfx.types import artifact
from tfx.types import channel as channel_types
def _infer_sliding_window_type(channel: channel_types.BaseChannel, **kw... | null |
166,454 | import contextlib
import inspect
from typing import Callable, Type, Union, Mapping, Any, Optional, Sequence, cast, overload
from tfx.dsl.control_flow import for_each_internal
from tfx.dsl.input_resolution import resolver_op
from tfx.types import artifact
from tfx.types import channel
from tfx.types import resolved_chan... | Default _TypeInferrer that mirrors args[0] type. |
166,455 | import contextlib
import inspect
from typing import Callable, Type, Union, Mapping, Any, Optional, Sequence, cast, overload
from tfx.dsl.control_flow import for_each_internal
from tfx.dsl.input_resolution import resolver_op
from tfx.types import artifact
from tfx.types import channel
from tfx.types import resolved_chan... | null |
166,456 | import contextlib
import inspect
from typing import Callable, Type, Union, Mapping, Any, Optional, Sequence, cast, overload
from tfx.dsl.control_flow import for_each_internal
from tfx.dsl.input_resolution import resolver_op
from tfx.types import artifact
from tfx.types import channel
from tfx.types import resolved_chan... | null |
166,457 | import contextlib
import inspect
from typing import Callable, Type, Union, Mapping, Any, Optional, Sequence, cast, overload
from tfx.dsl.control_flow import for_each_internal
from tfx.dsl.input_resolution import resolver_op
from tfx.types import artifact
from tfx.types import channel
from tfx.types import resolved_chan... | Decorator for the resolver function. Args: f: Python function to decorate. See the usage at canned_resolver_function.py output_type: Optional static output type hint. unwrap_dict_key: If present, it will add loopable transform that unwraps dictionary key(s) so that `ForEach` captured value is a single channel, or a tup... |
166,458 | import inspect
from typing import Any, Dict, Generic, List, Type, TypeVar, Union, get_args, get_origin
from tfx.dsl.component.experimental import json_compat
from tfx.types import artifact
from tfx.utils import deprecation_utils
The provided code snippet includes necessary dependencies for implementing the `_check_val... | Check if the annotation params is an Artifact or a List[Artifact]. |
166,459 | import copy
import functools
import types
import typing
from typing import Any, Callable, ClassVar, Dict, List, Optional, Protocol, Type, Union
from tfx import types as tfx_types
from tfx.dsl.component.experimental import function_parser
from tfx.dsl.component.experimental import json_compat
from tfx.dsl.component.expe... | Extracts function arguments for the decorated function. |
166,460 | import copy
import functools
import types
import typing
from typing import Any, Callable, ClassVar, Dict, List, Optional, Protocol, Type, Union
from tfx import types as tfx_types
from tfx.dsl.component.experimental import function_parser
from tfx.dsl.component.experimental import json_compat
from tfx.dsl.component.expe... | Validates and assigns the outputs to the output_dict. |
166,461 | from typing import Union, cast, Any
from tfx.dsl.context_managers import dsl_context_manager
from tfx.dsl.control_flow import for_each_internal
from tfx.dsl.input_resolution import resolver_function
from tfx.dsl.input_resolution.ops import ops
from tfx.types import channel as channel_types
def _for_each_impl(channel: ... | null |
166,462 | from typing import Union, cast, Any
from tfx.dsl.context_managers import dsl_context_manager
from tfx.dsl.control_flow import for_each_internal
from tfx.dsl.input_resolution import resolver_function
from tfx.dsl.input_resolution.ops import ops
from tfx.types import channel as channel_types
def _for_each_output_type(ch... | null |
166,463 | import itertools
from typing import Any, Callable, Dict, Iterator, List, Optional, Tuple, Type, cast
from tfx import types
from tfx.dsl.compiler import compiler_context
from tfx.dsl.compiler import compiler_utils
from tfx.dsl.compiler import constants
from tfx.dsl.compiler import node_execution_options_utils
from tfx.d... | null |
166,464 | import itertools
from typing import Any, Callable, Dict, Iterator, List, Optional, Tuple, Type, cast
from tfx import types
from tfx.dsl.compiler import compiler_context
from tfx.dsl.compiler import compiler_utils
from tfx.dsl.compiler import constants
from tfx.dsl.compiler import node_execution_options_utils
from tfx.d... | Performs pre-compile validations. |
166,465 | import itertools
from typing import Any, Callable, Dict, Iterator, List, Optional, Tuple, Type, cast
from tfx import types
from tfx.dsl.compiler import compiler_context
from tfx.dsl.compiler import compiler_utils
from tfx.dsl.compiler import constants
from tfx.dsl.compiler import node_execution_options_utils
from tfx.d... | Compiles the node contexts of a pipeline node. |
166,466 | import itertools
from typing import Any, Callable, Dict, Iterator, List, Optional, Tuple, Type, cast
from tfx import types
from tfx.dsl.compiler import compiler_context
from tfx.dsl.compiler import compiler_utils
from tfx.dsl.compiler import constants
from tfx.dsl.compiler import node_execution_options_utils
from tfx.d... | Compiles the outputs of a pipeline node. |
166,467 | import itertools
from typing import Any, Callable, Dict, Iterator, List, Optional, Tuple, Type, cast
from tfx import types
from tfx.dsl.compiler import compiler_context
from tfx.dsl.compiler import compiler_utils
from tfx.dsl.compiler import constants
from tfx.dsl.compiler import node_execution_options_utils
from tfx.d... | Generates InputSpec for pipeline outputs to be consumed later. |
166,468 | import itertools
from typing import Any, Callable, Dict, Iterator, List, Optional, Tuple, Type, cast
from tfx import types
from tfx.dsl.compiler import compiler_context
from tfx.dsl.compiler import compiler_utils
from tfx.dsl.compiler import constants
from tfx.dsl.compiler import node_execution_options_utils
from tfx.d... | Compiles exec properties of a pipeline node. |
166,469 | import itertools
from typing import Any, Callable, Dict, Iterator, List, Optional, Tuple, Type, cast
from tfx import types
from tfx.dsl.compiler import compiler_context
from tfx.dsl.compiler import compiler_utils
from tfx.dsl.compiler import constants
from tfx.dsl.compiler import node_execution_options_utils
from tfx.d... | Compiles and sets NodeExecutionOptions of a pipeline node. |
166,470 | import itertools
from typing import Any, Callable, Dict, Iterator, List, Optional, Tuple, Type, cast
from tfx import types
from tfx.dsl.compiler import compiler_context
from tfx.dsl.compiler import compiler_utils
from tfx.dsl.compiler import constants
from tfx.dsl.compiler import node_execution_options_utils
from tfx.d... | Finds all upstream nodes that the current node depends on. |
166,471 | import itertools
from typing import Any, Callable, Dict, Iterator, List, Optional, Tuple, Type, cast
from tfx import types
from tfx.dsl.compiler import compiler_context
from tfx.dsl.compiler import compiler_utils
from tfx.dsl.compiler import constants
from tfx.dsl.compiler import node_execution_options_utils
from tfx.d... | Finds all downstream nodes that depend on the current node. |
166,472 | import itertools
from typing import Any, Callable, Dict, Iterator, List, Optional, Tuple, Type, cast
from tfx import types
from tfx.dsl.compiler import compiler_context
from tfx.dsl.compiler import compiler_utils
from tfx.dsl.compiler import constants
from tfx.dsl.compiler import node_execution_options_utils
from tfx.d... | Checks if a node needs to declare the begin node as its upstream node. |
166,473 | import itertools
from typing import Any, Callable, Dict, Iterator, List, Optional, Tuple, Type, cast
from tfx import types
from tfx.dsl.compiler import compiler_context
from tfx.dsl.compiler import compiler_utils
from tfx.dsl.compiler import constants
from tfx.dsl.compiler import node_execution_options_utils
from tfx.d... | Checks if a node needs to declare the eng node as its downstream node. |
166,474 | from typing import cast, List, Optional, Sequence, Tuple, Type, Union, Dict, Any, Set
from tfx import types
from tfx.dsl.compiler import constants
from tfx.dsl.components.base import base_node
from tfx.dsl.components.common import importer
from tfx.dsl.components.common import resolver
from tfx.dsl.context_managers imp... | Resolves execution mode for a tfx pipeline. Args: tfx_pipeline: a TFX pipeline python object assembled by SDK. Returns: a proto enum reflecting the execution mode of the pipeline. Raises: RuntimeError: when execution mode is ASYNC while `enable_cache` is true. ValueError: when seeing unrecognized execution mode. |
166,475 | from typing import cast, List, Optional, Sequence, Tuple, Type, Union, Dict, Any, Set
from tfx import types
from tfx.dsl.compiler import constants
from tfx.dsl.components.base import base_node
from tfx.dsl.components.common import importer
from tfx.dsl.components.common import resolver
from tfx.dsl.context_managers imp... | Helper function to check if a TFX node is an Importer. |
166,476 | from typing import cast, List, Optional, Sequence, Tuple, Type, Union, Dict, Any, Set
from tfx import types
from tfx.dsl.compiler import constants
from tfx.dsl.components.base import base_node
from tfx.dsl.components.common import importer
from tfx.dsl.components.common import resolver
from tfx.dsl.context_managers imp... | Builds the type name of a Pipeline Begin node. |
166,477 | from typing import cast, List, Optional, Sequence, Tuple, Type, Union, Dict, Any, Set
from tfx import types
from tfx.dsl.compiler import constants
from tfx.dsl.components.base import base_node
from tfx.dsl.components.common import importer
from tfx.dsl.components.common import resolver
from tfx.dsl.context_managers imp... | Builds the type name of a Pipeline End node. |
166,478 | from typing import cast, List, Optional, Sequence, Tuple, Type, Union, Dict, Any, Set
from tfx import types
from tfx.dsl.compiler import constants
from tfx.dsl.components.base import base_node
from tfx.dsl.components.common import importer
from tfx.dsl.components.common import resolver
from tfx.dsl.context_managers imp... | Builds the node id of a Pipeline Begin node. |
166,479 | from typing import cast, List, Optional, Sequence, Tuple, Type, Union, Dict, Any, Set
from tfx import types
from tfx.dsl.compiler import constants
from tfx.dsl.components.base import base_node
from tfx.dsl.components.common import importer
from tfx.dsl.components.common import resolver
from tfx.dsl.context_managers imp... | Builds the node id of a Pipeline End node. |
166,480 | from typing import cast, List, Optional, Sequence, Tuple, Type, Union, Dict, Any, Set
from tfx import types
from tfx.dsl.compiler import constants
from tfx.dsl.components.base import base_node
from tfx.dsl.components.common import importer
from tfx.dsl.components.common import resolver
from tfx.dsl.context_managers imp... | Builds the end_node context name of a composable pipeline. |
166,481 | from typing import cast, List, Optional, Sequence, Tuple, Type, Union, Dict, Any, Set
from tfx import types
from tfx.dsl.compiler import constants
from tfx.dsl.components.base import base_node
from tfx.dsl.components.common import importer
from tfx.dsl.components.common import resolver
from tfx.dsl.context_managers imp... | Builds a function that returns the key of a channel for consumer node. |
166,482 | from typing import cast, List, Optional, Sequence, Tuple, Type, Union, Dict, Any, Set
from tfx import types
from tfx.dsl.compiler import constants
from tfx.dsl.components.base import base_node
from tfx.dsl.components.common import importer
from tfx.dsl.components.common import resolver
from tfx.dsl.context_managers imp... | Create a dummy pipeline end node. pipeline end node does not appear in pipeline DSL but only in the pipeline IR. To generalizes compilation process for the pipeline end node, create a dummy BaseNode whose inputs are set as pipeline.outputs. Args: p: A Pipeline instance whose pipeline end node will be created. Returns: ... |
166,483 | from typing import Type, cast
from tfx import types
from tfx.dsl.compiler import compiler_context
from tfx.dsl.compiler import compiler_utils
from tfx.dsl.compiler import constants
from tfx.dsl.components.base import base_component
from tfx.dsl.components.base import base_node
from tfx.dsl.experimental.conditionals imp... | Compile NodeInputs from BaseNode input channels. |
166,484 | import base64
import enum
import functools
import os
import re
from typing import Any, Callable, Union, cast
from absl import logging
import attr
from tfx.dsl.io import fileio
from tfx.orchestration.portable import data_types
from tfx.proto.orchestration import placeholder_pb2
from tfx.types import artifact
from tfx.ty... | Ensures that expression resolves to boolean. NOTE: This is currently used to ensure that the inputs to logical operators are boolean. Since the DSL for creating Predicate expressions do not currently perform implicit boolean conversions, the evaluator should not support it either. If we support implicit boolean convers... |
166,485 | import base64
import enum
import functools
import os
import re
from typing import Any, Callable, Union, cast
from absl import logging
import attr
from tfx.dsl.io import fileio
from tfx.orchestration.portable import data_types
from tfx.proto.orchestration import placeholder_pb2
from tfx.types import artifact
from tfx.ty... | Decorator function for registering operators. Internal in this module. |
166,486 | import base64
import enum
import functools
import os
import re
from typing import Any, Callable, Union, cast
from absl import logging
import attr
from tfx.dsl.io import fileio
from tfx.orchestration.portable import data_types
from tfx.proto.orchestration import placeholder_pb2
from tfx.types import artifact
from tfx.ty... | Returns all Placeholder.Type contained in a PlaceholderExpression. |
166,487 | import abc
from collections.abc import Mapping, Sequence
from typing import Callable, Optional, Union
import attr
from tfx.orchestration import data_types_utils
from tfx.proto.orchestration import execution_hook_pb2
from ml_metadata.proto import metadata_store_pb2
_PrimitiveFlagValueType = Union[int, float, str, bool]
... | null |
166,488 | import abc
from collections.abc import Mapping, Sequence
from typing import Callable, Optional, Union
import attr
from tfx.orchestration import data_types_utils
from tfx.proto.orchestration import execution_hook_pb2
from ml_metadata.proto import metadata_store_pb2
_PrimitiveFlagValueType = Union[int, float, str, bool]
... | null |
166,489 | from __future__ import annotations
from typing import Dict, Generic, Iterator, Mapping, Optional, TypeVar, Union
from tfx.dsl.placeholder import placeholder_base
from tfx.proto.orchestration import placeholder_pb2
from tfx.utils import proto_utils
from google.protobuf import any_pb2
from google.protobuf import descript... | Returns a placeholder that resolves to a proto with the given fields. Basic usage: ```python flags=[ ( 'my_proto_flag', ph.make_proto( MyProtoType(), field1='a plain value', field2=ph.execution_invocation().pipeline_run_id, field3=ph.make_proto( MySubProtoType(inner_field1='fixed value'), inner_field2=ph.input('foo').u... |
166,490 | from __future__ import annotations
import typing
from typing import Any, Literal, Union
from tfx.dsl.placeholder import placeholder_base
from tfx.proto.orchestration import placeholder_pb2
from google.protobuf import message
class ExecPropertyPlaceholder(placeholder_base.Placeholder):
"""ExecProperty Placeholder repr... | Returns a Placeholder that represents an execution property. Args: key: The key of the output artifact. Returns: A Placeholder that supports 1. Rendering the value of an execution property at a given key. Example: exec_property('version') 2. Rendering the whole proto or a proto field of an execution property, if the va... |
166,491 | from __future__ import annotations
import typing
from typing import Any, Literal, Union
from tfx.dsl.placeholder import placeholder_base
from tfx.proto.orchestration import placeholder_pb2
from google.protobuf import message
RuntimeInfoKeys = Literal[
'executor_spec',
'platform_config',
'pipeline_platform_c... | Returns a Placeholder that contains runtime information for component. Currently the runtime info includes following keys: 1. executor_spec: The executor spec proto. 2. platform_config: A proto that contains platform-specific information for the current pipeline node. 3. pipeline_platform_config: A proto that contains ... |
166,492 | from __future__ import annotations
import typing
from typing import Any, Literal, Union
from tfx.dsl.placeholder import placeholder_base
from tfx.proto.orchestration import placeholder_pb2
from google.protobuf import message
class ExecInvocationPlaceholder(placeholder_base.Placeholder):
"""Execution Invocation Placeh... | Returns a Placeholder representing ExecutionInvocation proto. Returns: A Placeholder that will render to the ExecutionInvocation proto. Accessing a proto field is the same as if accessing a proto field in Python. Prefer to use input(key)/output(key)/exec_property(key) functions instead of input_dict/output_dict/executi... |
166,493 | from __future__ import annotations
import typing
from typing import Any, Literal, Union
from tfx.dsl.placeholder import placeholder_base
from tfx.proto.orchestration import placeholder_pb2
from google.protobuf import message
class EnvironmentVariablePlaceholder(placeholder_base.Placeholder):
"""Environment Variable P... | Returns a Placeholder representing EnvironmentVariable proto. Args: key: The key of the environment variable. Returns: A Placeholder that supports 1. Rendering the value of an environment variable for a given key. Example: environment_variable('FOO') 2. Concatenating with other placeholders or strings. Example: 'foo=' ... |
166,494 | from __future__ import annotations
import abc
import enum
import functools
import types
import typing
from typing import Any, Iterator, Mapping, Optional, Sequence, Union
import attr
from tfx.proto.orchestration import placeholder_pb2
from tfx.utils import proto_utils
from google.protobuf import message
class Predicate... | Applies a NOT boolean operation on a Predicate. Args: pred: The Predicate to apply the NOT operation to. Returns: The negated Predicate. |
166,495 | from __future__ import annotations
import abc
import enum
import functools
import types
import typing
from typing import Any, Iterator, Mapping, Optional, Sequence, Union
import attr
from tfx.proto.orchestration import placeholder_pb2
from tfx.utils import proto_utils
from google.protobuf import message
class Predicate... | Applies the AND boolean operation on two Predicates. Args: left: The first argument of the AND operation. right: The second argument of the AND operation. Returns: The Predicate resulting from the AND operation. |
166,496 | from __future__ import annotations
import abc
import enum
import functools
import types
import typing
from typing import Any, Iterator, Mapping, Optional, Sequence, Union
import attr
from tfx.proto.orchestration import placeholder_pb2
from tfx.utils import proto_utils
from google.protobuf import message
class Predicate... | Applies the OR boolean operation on two Predicates. Args: left: The first argument of the OR operation. right: The second argument of the OR operation. Returns: The Predicate resulting from the OR operation. |
166,497 | from __future__ import annotations
import abc
import enum
import functools
import types
import typing
from typing import Any, Iterator, Mapping, Optional, Sequence, Union
import attr
from tfx.proto.orchestration import placeholder_pb2
from tfx.utils import proto_utils
from google.protobuf import message
ValueLikeType =... | Returns a ListPlaceholder representing a list of input placeholders. |
166,498 | from __future__ import annotations
import abc
import enum
import functools
import types
import typing
from typing import Any, Iterator, Mapping, Optional, Sequence, Union
import attr
from tfx.proto.orchestration import placeholder_pb2
from tfx.utils import proto_utils
from google.protobuf import message
class Placehold... | Joins a list consisting of placeholders and strings using separator. Returns an empty string if placeholders is empty. Args: placeholders: List of placeholders and/or strings. separator: The separator to use when joining the passed in values. Returns: A Placeholder representing the concatenation of all elements passed ... |
166,499 | from __future__ import annotations
import abc
import enum
import functools
import types
import typing
from typing import Any, Iterator, Mapping, Optional, Sequence, Union
import attr
from tfx.proto.orchestration import placeholder_pb2
from tfx.utils import proto_utils
from google.protobuf import message
class Placehold... | Runs os.path.join() on placeholder arguments. Args: *args: (Placeholders that resolve to) strings which will be passed to os.path.join(). Returns: A placeholder that will resolve to the joined path. |
166,500 | from __future__ import annotations
import abc
import enum
import functools
import types
import typing
from typing import Any, Iterator, Mapping, Optional, Sequence, Union
import attr
from tfx.proto.orchestration import placeholder_pb2
from tfx.utils import proto_utils
from google.protobuf import message
ValueLikeType =... | Returns a DictPlaceholder representing a dict of input placeholders. Args: entries: A mapping that will become the final dict after running placeholder resolution on each of the values. Values that resolve to None are dropped. If you also want placeholders in the keys, you need to pass the dict as a sequence of (k,v) t... |
166,501 | from __future__ import annotations
import abc
import enum
import functools
import types
import typing
from typing import Any, Iterator, Mapping, Optional, Sequence, Union
import attr
from tfx.proto.orchestration import placeholder_pb2
from tfx.utils import proto_utils
from google.protobuf import message
The provided c... | Like issubclass(), but supports Union types on the sub-class side. Args: test_type: A sub-type to test. Can be a Union or a plain class. parent_type: A parent type (class, type or tuple of classes/types). Returns: True if the test_type is a sub-type of the parent_type. If the test_type is a Union, any of them is allowe... |
166,502 | from __future__ import annotations
import abc
import enum
import functools
import types
import typing
from typing import Any, Iterator, Mapping, Optional, Sequence, Union
import attr
from tfx.proto.orchestration import placeholder_pb2
from tfx.utils import proto_utils
from google.protobuf import message
ValueLikeType =... | Encodes x to a placeholder expression proto. |
166,503 | from __future__ import annotations
from typing import Any, Optional
from tfx.dsl.placeholder import placeholder_base
from tfx.proto.orchestration import placeholder_pb2
class ArtifactPlaceholder(placeholder_base.Placeholder):
"""Artifact Placeholder represents an input or an output artifact.
Prefer to use ph.input(... | Returns a Placeholder that represents an input artifact. Args: key: The key of the input artifact. Returns: A Placeholder that supports 1. Rendering the whole MLMD artifact proto as text_format. Example: input('model') 2. Accessing a specific index using [index], if multiple artifacts are associated with the given key.... |
166,504 | from __future__ import annotations
from typing import Any, Optional
from tfx.dsl.placeholder import placeholder_base
from tfx.proto.orchestration import placeholder_pb2
class ArtifactPlaceholder(placeholder_base.Placeholder):
"""Artifact Placeholder represents an input or an output artifact.
Prefer to use ph.input(... | Returns a Placeholder that represents an output artifact. It is the same as input(...) function, except it is for output artifacts. Args: key: The key of the output artifact. Returns: A Placeholder that supports 1. Rendering the whole artifact as text_format. Example: output('model') 2. Accessing a specific index using... |
166,505 | import abc
import copy
from typing import Any, Dict, Optional, Type
from tfx.dsl.components.base import base_driver
from tfx.dsl.components.base import base_executor
from tfx.dsl.components.base import executor_spec as executor_spec_module
from tfx.dsl.context_managers import dsl_context_registry
from tfx.dsl.experimen... | Returns an abstract property for use in an ABC abstract class. |
166,506 | import os
from typing import Any, Dict, List
import absl
from tfx import types
from tfx.dsl.io import fileio
from tfx.orchestration import data_types
from tfx.orchestration import metadata
from tfx.types import artifact_utils
from tfx.types import channel_utils
The provided code snippet includes necessary dependencies... | Generate uri for output artifact. |
166,507 | import os
from typing import Any, Dict, List
import absl
from tfx import types
from tfx.dsl.io import fileio
from tfx.orchestration import data_types
from tfx.orchestration import metadata
from tfx.types import artifact_utils
from tfx.types import channel_utils
The provided code snippet includes necessary dependencies... | Create output directories for output artifact. |
166,508 | from typing import Any, Dict, List, Optional, Type, Union
import absl
from tfx import types
from tfx.dsl.components.base import base_driver
from tfx.dsl.components.base import base_node
from tfx.orchestration import data_types
from tfx.orchestration import metadata
from tfx.types import channel_utils
from tfx.utils imp... | Generates Importer's output dict. If there is already an artifact in MLMD with the same URI and properties / custom properties, that artifact will be reused unless the `reimport` argument is set to True. Args: metadata_handle: The handler of MLMD. uri: The uri of the artifact. properties: The properties of the artifact... |
166,509 | from typing import Any, Callable, Iterable, List, Optional, Tuple, Type
from tfx.dsl.io import filesystem
from tfx.dsl.io import filesystem_registry
from tfx.dsl.io.filesystem import PathType
import tfx.dsl.io.plugins.tensorflow_gfile
import tfx.dsl.io.plugins.local
def _get_filesystem(path) -> Type[filesystem.Filesy... | Make a directory at the given path; parent directory must exist. |
166,510 | from typing import Any, Callable, Iterable, List, Optional, Tuple, Type
from tfx.dsl.io import filesystem
from tfx.dsl.io import filesystem_registry
from tfx.dsl.io.filesystem import PathType
import tfx.dsl.io.plugins.tensorflow_gfile
import tfx.dsl.io.plugins.local
def _get_filesystem(path) -> Type[filesystem.Filesy... | Return a path for an inline file with the given content. |
166,511 | import collections
from collections.abc import Iterable, Iterator
import contextlib
import threading
from typing import Any, Optional
from tfx.dsl.context_managers import dsl_context
class DslContextRegistry:
"""Registry for DslContexts and associated BaseNodes of a pipeline DSL.
DslContextRegistry manages the acti... | Push the new registry to the global scope. |
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