add pangu

Model_Architecture_Discussions/pangu/configuration_gptpangu.py

@@ -0,0 +1,56 @@
+from transformers.configuration_utils import PretrainedConfig
+
+
+class GPTPanguConfig(PretrainedConfig):
+    model_type = "gpt_pangu"
+    keys_to_ignore_at_inference = ["past_key_values"]
+
+    def __init__(
+        self,
+        vocab_size=40000,
+        max_position_embeddings=1024,
+        hidden_size=1024,
+        intermediate_size=None,
+        num_layers=24,
+        num_heads=16,
+        activation_function="gelu",
+        resid_pdrop=0.1,
+        embd_pdrop=0.1,
+        attn_pdrop=0.1,
+        layer_norm_epsilon=1e-5,
+        scale_attn_weights=True,
+        initializer_range=0.02,
+        summary_type="cls_index",
+        summary_use_proj=True,
+        summary_activation=None,
+        summary_proj_to_labels=True,
+        summary_first_dropout=0.1,
+        use_cache=True,
+        # bos_token_id=9,
+        # eos_token_id=9,
+        **kwargs,
+    ):
+        self.vocab_size = vocab_size
+        self.max_position_embeddings = max_position_embeddings
+        self.hidden_size = hidden_size
+        self.intermediate_size = intermediate_size
+        self.num_layers = num_layers
+        self.num_heads = num_heads
+        self.activation_function = activation_function
+        self.resid_pdrop = resid_pdrop
+        self.embd_pdrop = embd_pdrop
+        self.attn_pdrop = attn_pdrop
+        self.layer_norm_epsilon = layer_norm_epsilon
+        self.scale_attn_weights = scale_attn_weights
+        self.initializer_range = initializer_range
+        self.summary_type = summary_type
+        self.summary_use_proj = summary_use_proj
+        self.summary_activation = summary_activation
+        self.summary_first_dropout = summary_first_dropout
+        self.summary_proj_to_labels = summary_proj_to_labels
+        self.use_cache = use_cache
+
+        # self.bos_token_id = bos_token_id
+        # self.eos_token_id = eos_token_id
+
+        super().__init__(**kwargs)