def build_model(cls, args, task):
"""Build a new model instance."""
if not has_megatron_submodule:
raise ImportError('\n\nPlease install the megatron submodule:'
'\n\n git submodule update --init '
'fairseq/model_parallel/megatron')
# make sure all arguments are present in older models
base_lm_architecture(args)
if args.decoder_layers_to_keep:
args.decoder_layers = len(args.decoder_layers_to_keep.split(","))
if getattr(args, 'max_target_positions', None) is None:
args.max_target_positions = getattr(args, 'tokens_per_sample',
DEFAULT_MAX_TARGET_POSITIONS)
if args.character_embeddings:
raise NotImplementedError(
"Character embeddings is not supported for model parallel")
elif args.adaptive_input:
raise NotImplementedError(
"Adaptive input is not supported for model parallel")
else:
embed_tokens = cls.build_embedding(args, task.source_dictionary,
args.decoder_input_dim)
decoder = ModelParallelTransformerDecoder(
args,
task.target_dictionary,
embed_tokens,
no_encoder_attn=True,
)
return cls(decoder)
def transformer_lm_megatron_11b(args):
args.decoder_embed_dim = getattr(args, 'decoder_embed_dim', 3072)
args.decoder_ffn_embed_dim = getattr(args, 'decoder_ffn_embed_dim', 3072 * 6)
args.decoder_layers = getattr(args, 'decoder_layers', 72)
args.decoder_attention_heads = getattr(args, 'decoder_attention_heads', 32)
args.dropout = getattr(args, 'dropout', 0.1)
args.attention_dropout = getattr(args, 'attention_dropout', 0.1)
args.activation_fn = getattr(args, 'activation_fn', 'gelu')
base_lm_architecture(args)
def __init__(self, dictionary):
args = Namespace()
base_lm_architecture(args)
args.decoder_layerdrop=0
args.max_target_positions = getattr(args, 'tokens_per_sample',DEFAULT_MAX_TARGET_POSITIONS)
num_embeddings = len(dictionary)
padding_idx = dictionary.pad()
emb = Embedding(num_embeddings, args.decoder_embed_dim, padding_idx)
super().__init__(args, dictionary, emb, False)
def transformer_numlm_base(args):
args.add_number_token_attention_mask = getattr(
args, "add_number_token_attention_mask", False)
base_lm_architecture(args)
