modeling

class UnifiedTransformerPretrainedModel(name_scope=None, dtype='float32')

Bases: paddlenlp.transformers.model_utils.PretrainedModel

An abstract class for pretrained UnifiedTransformer models. It provides UnifiedTransformer related model_config_file, resource_files_names, pretrained_resource_files_map, pretrained_init_configuration, base_model_prefix for downloading and loading pretrained models. See PretrainedModel for more details.

init_weights(layer)

Initialization hook

base_model_class

alias of paddlenlp.transformers.unified_transformer.modeling.UnifiedTransformerModel

class UnifiedTransformerModel(vocab_size, hidden_size=768, num_hidden_layers=12, num_attention_heads=12, intermediate_size=3072, hidden_act='gelu', hidden_dropout_prob=0.1, attention_probs_dropout_prob=0.1, normalize_before=True, max_position_embeddings=512, type_vocab_size=2, initializer_range=0.02, unk_token_id=0, pad_token_id=0, bos_token_id=1, eos_token_id=2, mask_token_id=30000)

Bases: paddlenlp.transformers.unified_transformer.modeling.UnifiedTransformerPretrainedModel

forward(input_ids, token_type_ids, position_ids, attention_mask, use_cache=False, cache=None)

Defines the computation performed at every call. Should be overridden by all subclasses.

Parameters

• *inputs (tuple) – unpacked tuple arguments

• **kwargs (dict) – unpacked dict arguments

class UnifiedTransformerLMHeadModel(unified_transformer)

Bases: paddlenlp.transformers.unified_transformer.modeling.UnifiedTransformerPretrainedModel

forward(input_ids, token_type_ids, position_ids, attention_mask, masked_positions=None, use_cache=False, cache=None)

Defines the computation performed at every call. Should be overridden by all subclasses.

Parameters

• *inputs (tuple) – unpacked tuple arguments

• **kwargs (dict) – unpacked dict arguments