| | |
| | |
| |
|
| | """ CodeT5+ embedding model configuration""" |
| | from transformers.configuration_utils import PretrainedConfig |
| | from transformers.utils import logging |
| |
|
| | logger = logging.get_logger(__name__) |
| |
|
| |
|
| | class CodeT5pEmbeddingConfig(PretrainedConfig): |
| | model_type = "codet5p_embedding" |
| | keys_to_ignore_at_inference = ["past_key_values"] |
| | attribute_map = {"hidden_size": "d_model", "num_attention_heads": "num_heads", "num_hidden_layers": "num_layers"} |
| |
|
| | def __init__( |
| | self, |
| | vocab_size=32103, |
| | d_model=768, |
| | embed_dim=256, |
| | d_kv=64, |
| | d_ff=3072, |
| | num_layers=12, |
| | num_heads=12, |
| | relative_attention_num_buckets=32, |
| | relative_attention_max_distance=128, |
| | dropout_rate=0.1, |
| | layer_norm_epsilon=1e-6, |
| | initializer_factor=1.0, |
| | feed_forward_proj="relu", |
| | is_encoder_decoder=False, |
| | use_cache=True, |
| | pad_token_id=0, |
| | eos_token_id=2, |
| | **kwargs |
| | ): |
| | self.vocab_size = vocab_size |
| | self.d_model = d_model |
| | self.embed_dim = embed_dim |
| | self.d_kv = d_kv |
| | self.d_ff = d_ff |
| | self.num_layers = num_layers |
| | self.num_heads = num_heads |
| | self.relative_attention_num_buckets = relative_attention_num_buckets |
| | self.relative_attention_max_distance = relative_attention_max_distance |
| | self.dropout_rate = dropout_rate |
| | self.layer_norm_epsilon = layer_norm_epsilon |
| | self.initializer_factor = initializer_factor |
| | self.feed_forward_proj = feed_forward_proj |
| | self.use_cache = use_cache |
| |
|
| | act_info = self.feed_forward_proj.split("-") |
| | self.dense_act_fn = act_info[-1] |
| | self.is_gated_act = act_info[0] == "gated" |
| |
|
| | if len(act_info) > 1 and act_info[0] != "gated" or len(act_info) > 2: |
| | raise ValueError( |
| | f"`feed_forward_proj`: {feed_forward_proj} is not a valid activation function of the dense layer." |
| | "Please make sure `feed_forward_proj` is of the format `gated-{ACT_FN}` or `{ACT_FN}`, e.g. " |
| | "'gated-gelu' or 'relu'" |
| | ) |
| |
|
| | |
| | if feed_forward_proj == "gated-gelu": |
| | self.dense_act_fn = "gelu_new" |
| |
|
| | super().__init__( |
| | pad_token_id=pad_token_id, |
| | eos_token_id=eos_token_id, |
| | is_encoder_decoder=is_encoder_decoder, |
| | **kwargs, |
| | ) |
| |
|
