sample_config ============= .. py:module:: sample_config Classes ------- .. autoapisummary:: sample_config.GenerationParams sample_config.SampleCheckpointParams sample_config.SampleConfig sample_config.SampleOutputParams sample_config.SamplerParams Module Contents --------------- .. py:class:: GenerationParams(/, **data: Any) Bases: :py:obj:`pydantic.BaseModel` !!! abstract "Usage Documentation" [Models](../concepts/models.md) A base class for creating Pydantic models. .. attribute:: __class_vars__ The names of the class variables defined on the model. .. attribute:: __private_attributes__ Metadata about the private attributes of the model. .. attribute:: __signature__ The synthesized `__init__` [`Signature`][inspect.Signature] of the model. .. attribute:: __pydantic_complete__ Whether model building is completed, or if there are still undefined fields. .. attribute:: __pydantic_core_schema__ The core schema of the model. .. attribute:: __pydantic_custom_init__ Whether the model has a custom `__init__` function. .. attribute:: __pydantic_decorators__ Metadata containing the decorators defined on the model. This replaces `Model.__validators__` and `Model.__root_validators__` from Pydantic V1. .. attribute:: __pydantic_generic_metadata__ A dictionary containing metadata about generic Pydantic models. The `origin` and `args` items map to the [`__origin__`][genericalias.__origin__] and [`__args__`][genericalias.__args__] attributes of [generic aliases][types-genericalias], and the `parameter` item maps to the `__parameter__` attribute of generic classes. .. attribute:: __pydantic_parent_namespace__ Parent namespace of the model, used for automatic rebuilding of models. .. attribute:: __pydantic_post_init__ The name of the post-init method for the model, if defined. .. attribute:: __pydantic_root_model__ Whether the model is a [`RootModel`][pydantic.root_model.RootModel]. .. attribute:: __pydantic_serializer__ The `pydantic-core` `SchemaSerializer` used to dump instances of the model. .. attribute:: __pydantic_validator__ The `pydantic-core` `SchemaValidator` used to validate instances of the model. .. attribute:: __pydantic_fields__ A dictionary of field names and their corresponding [`FieldInfo`][pydantic.fields.FieldInfo] objects. .. attribute:: __pydantic_computed_fields__ A dictionary of computed field names and their corresponding [`ComputedFieldInfo`][pydantic.fields.ComputedFieldInfo] objects. .. attribute:: __pydantic_extra__ A dictionary containing extra values, if [`extra`][pydantic.config.ConfigDict.extra] is set to `'allow'`. .. attribute:: __pydantic_fields_set__ The names of fields explicitly set during instantiation. .. attribute:: __pydantic_private__ Values of private attributes set on the model instance. Create a new model by parsing and validating input data from keyword arguments. Raises [`ValidationError`][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model. `self` is explicitly positional-only to allow `self` as a field name. .. py:attribute:: model_config Configuration for the model, should be a dictionary conforming to [`ConfigDict`][pydantic.config.ConfigDict]. .. py:attribute:: n_res :type: int :value: None .. py:attribute:: n_samples :type: int :value: None .. py:class:: SampleCheckpointParams(/, **data: Any) Bases: :py:obj:`pydantic.BaseModel` !!! abstract "Usage Documentation" [Models](../concepts/models.md) A base class for creating Pydantic models. .. attribute:: __class_vars__ The names of the class variables defined on the model. .. attribute:: __private_attributes__ Metadata about the private attributes of the model. .. attribute:: __signature__ The synthesized `__init__` [`Signature`][inspect.Signature] of the model. .. attribute:: __pydantic_complete__ Whether model building is completed, or if there are still undefined fields. .. attribute:: __pydantic_core_schema__ The core schema of the model. .. attribute:: __pydantic_custom_init__ Whether the model has a custom `__init__` function. .. attribute:: __pydantic_decorators__ Metadata containing the decorators defined on the model. This replaces `Model.__validators__` and `Model.__root_validators__` from Pydantic V1. .. attribute:: __pydantic_generic_metadata__ A dictionary containing metadata about generic Pydantic models. The `origin` and `args` items map to the [`__origin__`][genericalias.__origin__] and [`__args__`][genericalias.__args__] attributes of [generic aliases][types-genericalias], and the `parameter` item maps to the `__parameter__` attribute of generic classes. .. attribute:: __pydantic_parent_namespace__ Parent namespace of the model, used for automatic rebuilding of models. .. attribute:: __pydantic_post_init__ The name of the post-init method for the model, if defined. .. attribute:: __pydantic_root_model__ Whether the model is a [`RootModel`][pydantic.root_model.RootModel]. .. attribute:: __pydantic_serializer__ The `pydantic-core` `SchemaSerializer` used to dump instances of the model. .. attribute:: __pydantic_validator__ The `pydantic-core` `SchemaValidator` used to validate instances of the model. .. attribute:: __pydantic_fields__ A dictionary of field names and their corresponding [`FieldInfo`][pydantic.fields.FieldInfo] objects. .. attribute:: __pydantic_computed_fields__ A dictionary of computed field names and their corresponding [`ComputedFieldInfo`][pydantic.fields.ComputedFieldInfo] objects. .. attribute:: __pydantic_extra__ A dictionary containing extra values, if [`extra`][pydantic.config.ConfigDict.extra] is set to `'allow'`. .. attribute:: __pydantic_fields_set__ The names of fields explicitly set during instantiation. .. attribute:: __pydantic_private__ Values of private attributes set on the model instance. Create a new model by parsing and validating input data from keyword arguments. Raises [`ValidationError`][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model. `self` is explicitly positional-only to allow `self` as a field name. .. py:attribute:: checkpoint_path :type: str :value: 'pallatom_best.pt' .. py:attribute:: model_config Configuration for the model, should be a dictionary conforming to [`ConfigDict`][pydantic.config.ConfigDict]. .. py:class:: SampleConfig(/, **data: Any) Bases: :py:obj:`pydantic.BaseModel` !!! abstract "Usage Documentation" [Models](../concepts/models.md) A base class for creating Pydantic models. .. attribute:: __class_vars__ The names of the class variables defined on the model. .. attribute:: __private_attributes__ Metadata about the private attributes of the model. .. attribute:: __signature__ The synthesized `__init__` [`Signature`][inspect.Signature] of the model. .. attribute:: __pydantic_complete__ Whether model building is completed, or if there are still undefined fields. .. attribute:: __pydantic_core_schema__ The core schema of the model. .. attribute:: __pydantic_custom_init__ Whether the model has a custom `__init__` function. .. attribute:: __pydantic_decorators__ Metadata containing the decorators defined on the model. This replaces `Model.__validators__` and `Model.__root_validators__` from Pydantic V1. .. attribute:: __pydantic_generic_metadata__ A dictionary containing metadata about generic Pydantic models. The `origin` and `args` items map to the [`__origin__`][genericalias.__origin__] and [`__args__`][genericalias.__args__] attributes of [generic aliases][types-genericalias], and the `parameter` item maps to the `__parameter__` attribute of generic classes. .. attribute:: __pydantic_parent_namespace__ Parent namespace of the model, used for automatic rebuilding of models. .. attribute:: __pydantic_post_init__ The name of the post-init method for the model, if defined. .. attribute:: __pydantic_root_model__ Whether the model is a [`RootModel`][pydantic.root_model.RootModel]. .. attribute:: __pydantic_serializer__ The `pydantic-core` `SchemaSerializer` used to dump instances of the model. .. attribute:: __pydantic_validator__ The `pydantic-core` `SchemaValidator` used to validate instances of the model. .. attribute:: __pydantic_fields__ A dictionary of field names and their corresponding [`FieldInfo`][pydantic.fields.FieldInfo] objects. .. attribute:: __pydantic_computed_fields__ A dictionary of computed field names and their corresponding [`ComputedFieldInfo`][pydantic.fields.ComputedFieldInfo] objects. .. attribute:: __pydantic_extra__ A dictionary containing extra values, if [`extra`][pydantic.config.ConfigDict.extra] is set to `'allow'`. .. attribute:: __pydantic_fields_set__ The names of fields explicitly set during instantiation. .. attribute:: __pydantic_private__ Values of private attributes set on the model instance. Create a new model by parsing and validating input data from keyword arguments. Raises [`ValidationError`][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model. `self` is explicitly positional-only to allow `self` as a field name. .. py:attribute:: checkpoint :type: SampleCheckpointParams :value: None .. py:attribute:: generation :type: GenerationParams :value: None .. py:attribute:: model :type: train.train_config.ModelParams :value: None .. py:attribute:: model_config Configuration for the model, should be a dictionary conforming to [`ConfigDict`][pydantic.config.ConfigDict]. .. py:attribute:: noise :type: train.train_config.NoiseScheduleParams :value: None .. py:attribute:: output :type: SampleOutputParams :value: None .. py:attribute:: sampler :type: SamplerParams :value: None .. py:class:: SampleOutputParams(/, **data: Any) Bases: :py:obj:`pydantic.BaseModel` !!! abstract "Usage Documentation" [Models](../concepts/models.md) A base class for creating Pydantic models. .. attribute:: __class_vars__ The names of the class variables defined on the model. .. attribute:: __private_attributes__ Metadata about the private attributes of the model. .. attribute:: __signature__ The synthesized `__init__` [`Signature`][inspect.Signature] of the model. .. attribute:: __pydantic_complete__ Whether model building is completed, or if there are still undefined fields. .. attribute:: __pydantic_core_schema__ The core schema of the model. .. attribute:: __pydantic_custom_init__ Whether the model has a custom `__init__` function. .. attribute:: __pydantic_decorators__ Metadata containing the decorators defined on the model. This replaces `Model.__validators__` and `Model.__root_validators__` from Pydantic V1. .. attribute:: __pydantic_generic_metadata__ A dictionary containing metadata about generic Pydantic models. The `origin` and `args` items map to the [`__origin__`][genericalias.__origin__] and [`__args__`][genericalias.__args__] attributes of [generic aliases][types-genericalias], and the `parameter` item maps to the `__parameter__` attribute of generic classes. .. attribute:: __pydantic_parent_namespace__ Parent namespace of the model, used for automatic rebuilding of models. .. attribute:: __pydantic_post_init__ The name of the post-init method for the model, if defined. .. attribute:: __pydantic_root_model__ Whether the model is a [`RootModel`][pydantic.root_model.RootModel]. .. attribute:: __pydantic_serializer__ The `pydantic-core` `SchemaSerializer` used to dump instances of the model. .. attribute:: __pydantic_validator__ The `pydantic-core` `SchemaValidator` used to validate instances of the model. .. attribute:: __pydantic_fields__ A dictionary of field names and their corresponding [`FieldInfo`][pydantic.fields.FieldInfo] objects. .. attribute:: __pydantic_computed_fields__ A dictionary of computed field names and their corresponding [`ComputedFieldInfo`][pydantic.fields.ComputedFieldInfo] objects. .. attribute:: __pydantic_extra__ A dictionary containing extra values, if [`extra`][pydantic.config.ConfigDict.extra] is set to `'allow'`. .. attribute:: __pydantic_fields_set__ The names of fields explicitly set during instantiation. .. attribute:: __pydantic_private__ Values of private attributes set on the model instance. Create a new model by parsing and validating input data from keyword arguments. Raises [`ValidationError`][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model. `self` is explicitly positional-only to allow `self` as a field name. .. py:attribute:: model_config Configuration for the model, should be a dictionary conforming to [`ConfigDict`][pydantic.config.ConfigDict]. .. py:attribute:: output_path :type: str :value: 'samples.json' .. py:class:: SamplerParams(/, **data: Any) Bases: :py:obj:`pydantic.BaseModel` !!! abstract "Usage Documentation" [Models](../concepts/models.md) A base class for creating Pydantic models. .. attribute:: __class_vars__ The names of the class variables defined on the model. .. attribute:: __private_attributes__ Metadata about the private attributes of the model. .. attribute:: __signature__ The synthesized `__init__` [`Signature`][inspect.Signature] of the model. .. attribute:: __pydantic_complete__ Whether model building is completed, or if there are still undefined fields. .. attribute:: __pydantic_core_schema__ The core schema of the model. .. attribute:: __pydantic_custom_init__ Whether the model has a custom `__init__` function. .. attribute:: __pydantic_decorators__ Metadata containing the decorators defined on the model. This replaces `Model.__validators__` and `Model.__root_validators__` from Pydantic V1. .. attribute:: __pydantic_generic_metadata__ A dictionary containing metadata about generic Pydantic models. The `origin` and `args` items map to the [`__origin__`][genericalias.__origin__] and [`__args__`][genericalias.__args__] attributes of [generic aliases][types-genericalias], and the `parameter` item maps to the `__parameter__` attribute of generic classes. .. attribute:: __pydantic_parent_namespace__ Parent namespace of the model, used for automatic rebuilding of models. .. attribute:: __pydantic_post_init__ The name of the post-init method for the model, if defined. .. attribute:: __pydantic_root_model__ Whether the model is a [`RootModel`][pydantic.root_model.RootModel]. .. attribute:: __pydantic_serializer__ The `pydantic-core` `SchemaSerializer` used to dump instances of the model. .. attribute:: __pydantic_validator__ The `pydantic-core` `SchemaValidator` used to validate instances of the model. .. attribute:: __pydantic_fields__ A dictionary of field names and their corresponding [`FieldInfo`][pydantic.fields.FieldInfo] objects. .. attribute:: __pydantic_computed_fields__ A dictionary of computed field names and their corresponding [`ComputedFieldInfo`][pydantic.fields.ComputedFieldInfo] objects. .. attribute:: __pydantic_extra__ A dictionary containing extra values, if [`extra`][pydantic.config.ConfigDict.extra] is set to `'allow'`. .. attribute:: __pydantic_fields_set__ The names of fields explicitly set during instantiation. .. attribute:: __pydantic_private__ Values of private attributes set on the model instance. Create a new model by parsing and validating input data from keyword arguments. Raises [`ValidationError`][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model. `self` is explicitly positional-only to allow `self` as a field name. .. py:attribute:: S_churn :type: float :value: None .. py:attribute:: S_noise :type: float :value: None .. py:attribute:: S_tmax :type: float :value: None .. py:attribute:: S_tmin :type: float :value: None .. py:attribute:: ddim_steps :type: int :value: None .. py:attribute:: model_config Configuration for the model, should be a dictionary conforming to [`ConfigDict`][pydantic.config.ConfigDict]. .. py:attribute:: rho :type: float :value: None