Update chatglm train.

chatglm/modeling_chatglm.py

@@ -20,7 +20,6 @@ from transformers.configuration_utils import PretrainedConfig
 from transformers.generation import GenerationConfig
 
 from configuration_chatglm import ChatGLMConfig
-from tools import show
 
 
 class RotaryEmbedding(nn.Module):
@@ -67,7 +66,6 @@ class RMSNorm(torch.nn.Module):
         input_dtype = hidden_states.dtype
         variance = hidden_states.to(torch.float32).pow(2).mean(-1, keepdim=True)
         hidden_states = hidden_states * torch.rsqrt(variance + self.eps)
-        # show.DumpTensorToImage(self.weight, "RMSNorm_weight.png")
         return (self.weight * hidden_states).to(input_dtype)
 
 
@@ -433,7 +431,6 @@ class ChatGLMModel(nn.Module):
         inputs_embeds = self.embedding(input_ids)
 
         rotary_pos_emb = self.rotary_pos_emb(self.seq_length)
-        # show.DumpTensorToImage(rotary_pos_emb[:, :, 0], "rotary_pos_emb.png", scale=0.1)
 
         rotary_pos_emb = rotary_pos_emb[position_ids]
         rotary_pos_emb = rotary_pos_emb.transpose(0, 1).contiguous()

chatglm/train.py

@@ -1,8 +1,12 @@
+import sys
+sys.path.append("..")
+
 import json
 import torch
 
-from chatglm import ChatGLMForConditionalGeneration
-from chatglm import ChatGLMTokenizer
+from modeling_chatglm import ChatGLMForConditionalGeneration
+from tokenization_chatglm import ChatGLMTokenizer
+from modelscope import snapshot_download
 
 from tools import show
 
@@ -12,8 +16,7 @@ seed = 4321
 torch.manual_seed(seed)
 torch.cuda.manual_seed_all(seed)
 
-
-pretrained_model_name_or_path = "../ZhipuAI/chatglm3-6b"
+pretrained_model_name_or_path = snapshot_download("ZhipuAI/chatglm3-6b")
 config, kwargs = AutoConfig.from_pretrained(
     pretrained_model_name_or_path,
     return_unused_kwargs=True,
@@ -24,7 +27,7 @@ config, kwargs = AutoConfig.from_pretrained(
 glm = ChatGLMForConditionalGeneration(config)
 
 
-tokenizer_config_file = "./chatglm/tokenizer_config.json"
+tokenizer_config_file = "./tokenizer_config.json"
 if tokenizer_config_file is not None:
     with open(tokenizer_config_file, encoding="utf-8") as tokenizer_config_handle:
         init_kwargs = json.load(tokenizer_config_handle)
@@ -32,7 +35,7 @@ if tokenizer_config_file is not None:
     init_kwargs.pop("tokenizer_file", None)
     saved_init_inputs = init_kwargs.pop("init_inputs", ())
     init_inputs = saved_init_inputs
-init_kwargs["vocab_file"] = "./chatglm/tokenizer.model"
+init_kwargs["vocab_file"] = "./tokenizer.model"
 init_kwargs["added_tokens_file"] = None
 init_kwargs["special_tokens_map_file"] = None
 init_kwargs["tokenizer_file"] = None

tools/__init__.py

@@ -1 +1 @@
-import show
+from tools import show