Refine model of qwen.
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@ -204,7 +204,6 @@ class QwenRunner:
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pad_token_id = qwen.config.pad_token_id
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pad_token_id = qwen.config.pad_token_id
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unfinished_sequences = torch.ones(input_ids.shape[0], dtype=torch.long, device=input_ids.device)
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unfinished_sequences = torch.ones(input_ids.shape[0], dtype=torch.long, device=input_ids.device)
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this_peer_finished = False
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while True:
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while True:
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outputs = self.forwardQWen(input_ids)
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outputs = self.forwardQWen(input_ids)
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next_token_scores = outputs[:, -1, :]
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next_token_scores = outputs[:, -1, :]
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@ -218,11 +217,7 @@ class QwenRunner:
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unfinished_sequences = unfinished_sequences.mul(
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unfinished_sequences = unfinished_sequences.mul(
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next_tokens.tile(eos_token_id_tensor.shape[0], 1).ne(eos_token_id_tensor.unsqueeze(1)).prod(dim=0)
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next_tokens.tile(eos_token_id_tensor.shape[0], 1).ne(eos_token_id_tensor.unsqueeze(1)).prod(dim=0)
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)
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)
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if unfinished_sequences.max() == 0:
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if unfinished_sequences.max() == 0:
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this_peer_finished = True
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if this_peer_finished:
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break
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break
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decoded, response, end_reason = decode_tokens(
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decoded, response, end_reason = decode_tokens(
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@ -233,7 +228,7 @@ class QwenRunner:
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errors="replace",
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errors="replace",
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)
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)
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history.append((query, response))
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history.append((query, response))
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return response, history, decoded
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return input_ids[0].cpu().tolist(), history, decoded
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def _rotate_half(self, x):
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def _rotate_half(self, x):
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x = rearrange(x, "... (j d) -> ... j d", j=2)
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x = rearrange(x, "... (j d) -> ... j d", j=2)
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@ -52,7 +52,7 @@ def Dump_tokens_list(model):
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context_length=0,
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context_length=0,
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errors="replace",
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errors="replace",
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)
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)
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tokens.append(str(token) + ": " + decoded)
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tokens.append(str(token).zfill(7) + ": " + repr(decoded))
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show.DumpListToFile(tokens, "./temp/qwen_token_list.txt")
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show.DumpListToFile(tokens, "./temp/qwen_token_list.txt")
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@ -86,7 +86,6 @@ def DumpQK(query, key, causal_mask, index):
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class ResearchRunner(QwenRunner):
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class ResearchRunner(QwenRunner):
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def __init__(self, model):
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def __init__(self, model):
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super().__init__(model)
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super().__init__(model)
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self.tokenDecode = []
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def attention(self, attention, query, key, value, causal_mask):
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def attention(self, attention, query, key, value, causal_mask):
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query = query.permute(0, 2, 1, 3)
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query = query.permute(0, 2, 1, 3)
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@ -100,20 +99,19 @@ class ResearchRunner(QwenRunner):
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attn_output = attention.c_proj(context_layer)
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attn_output = attention.c_proj(context_layer)
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return attn_output
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return attn_output
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def sample(self, next_token_scores):
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next_tokens = super().sample(next_token_scores)
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decoded, response, end_reason = decode_tokens(
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next_tokens,
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tokenizer,
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)
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self.tokenDecode.append(decoded)
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return next_tokens
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runner = ResearchRunner(model)
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runner = ResearchRunner(model)
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# 第一轮对话
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# 第一轮对话
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response, history, decode_tokens = runner.Chat(tokenizer, "东南亚国家日本的首都是什么市", "日本的首都是")
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output_ids, history, decoded = runner.Chat(tokenizer, "东南亚国家日本的首都是什么市", "日本的首都是")
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print(decode_tokens)
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print(decoded)
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tokens = []
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for i, token in enumerate(output_ids):
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de = tokenizer.decode([token])
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de = str(i).zfill(3) + " : " + repr(de)
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tokens.append(de)
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print(de)
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# <|im_start|>system
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# <|im_start|>system
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# You are a helpful assistant.<|im_end|>
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# You are a helpful assistant.<|im_end|>
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# <|im_start|>user
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# <|im_start|>user
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@ -122,8 +120,7 @@ print(decode_tokens)
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# 日本的首都东京。<|im_end|>
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# 日本的首都东京。<|im_end|>
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# <|endoftext|>
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# <|endoftext|>
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show.DumpListToFile(runner.tokenDecode, "./temp/token_decode_list.txt")
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show.DumpListToFile(tokens, "./temp/token_decode_list.txt")
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if decoded.split("\n")[-2] != """日本的首都东京。<|im_end|>""":
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if decode_tokens.split("\n")[-2] != """日本的首都东京。<|im_end|>""":
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raise ()
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raise ()
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