ml_switcheroo.frameworks.tensorflow

TensorFlow Framework Adapter.

This module provides the adapter for TensorFlow, supporting both core TF operations and legacy Keras integration if present within the TF namespace.

Refactor: Distributed definitions populated.

Classes

TensorFlowAdapter

Adapter for TensorFlow (Core & Keras).

Module Contents

class ml_switcheroo.frameworks.tensorflow.TensorFlowAdapter

Adapter for TensorFlow (Core & Keras).

display_name: str = 'TensorFlow'

inherits_from: str | None = None

ui_priority: int = 30

property search_modules: List[str]

property import_alias: Tuple[str, str]

property import_namespaces: Dict[str, Dict[str, str]]

property discovery_heuristics: Dict[str, List[str]]

property test_config: Dict[str, str]

property structural_traits: ml_switcheroo.frameworks.base.StructuralTraits

property supported_tiers: List[ml_switcheroo.enums.SemanticTier]

property definitions: Dict[str, ml_switcheroo.frameworks.base.StandardMap]

Static definitions for core operations.

property rng_seed_methods: List[str]

collect_api(category: ml_switcheroo.frameworks.base.StandardCategory) → List[ml_switcheroo.core.ghost.GhostRef]

apply_wiring(snapshot: Dict[str, Any]) → None

classmethod get_example_code() → str

get_tiered_examples() → Dict[str, str]

get_device_syntax(device_type: str, device_index: str | None = None) → str

get_serialization_imports() → List[str]

get_serialization_syntax(op: str, file_arg: str, object_arg: str | None = None) → str

convert(data)