ml_switcheroo.frameworks.keras

Keras (v3) Framework Adapter.

This module provides the adapter for Keras 3+, enabling translation between Keras and other frameworks (JAX, Torch, TensorFlow).

Refactor: Definitions populated for Keras specific Layers, Ops, and Vision.

Attributes

keras

Classes

KerasAdapter

Adapter for Keras 3+ (Multi-backend).

Module Contents

ml_switcheroo.frameworks.keras.keras = None

class ml_switcheroo.frameworks.keras.KerasAdapter

Adapter for Keras 3+ (Multi-backend).

display_name: str = 'Keras'

inherits_from: str | None = None

ui_priority: int = 25

classmethod get_example_code() → str

get_tiered_examples() → Dict[str, str]

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 supported_tiers: List[ml_switcheroo.enums.SemanticTier]

property structural_traits: ml_switcheroo.frameworks.base.StructuralTraits

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

Static definitions for Keras mappings.

property rng_seed_methods: List[str]

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

convert(data: Any) → Any

get_serialization_imports() → List[str]

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

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

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