From c462129ba60946c39593317d498fd9be6f923e60 Mon Sep 17 00:00:00 2001 From: Colin Date: Thu, 21 Dec 2023 20:50:10 +0800 Subject: [PATCH] Refine Code. --- chatglm/modeling_chatglm.py | 10 ++++------ rotary_pos_emb.png | Bin 0 -> 268577 bytes tools/show.py | 29 ----------------------------- 3 files changed, 4 insertions(+), 35 deletions(-) create mode 100644 rotary_pos_emb.png diff --git a/chatglm/modeling_chatglm.py b/chatglm/modeling_chatglm.py index f5c7e03..292861d 100644 --- a/chatglm/modeling_chatglm.py +++ b/chatglm/modeling_chatglm.py @@ -19,6 +19,7 @@ from transformers.configuration_utils import PretrainedConfig from transformers.generation import GenerationConfig from chatglm import ChatGLMConfig +from tools import show WEIGHTS_INDEX_NAME = "pytorch_model.bin.index.json" @@ -502,9 +503,7 @@ class ChatGLMModel(nn.Module): # Rotary positional embeddings rotary_pos_emb = self.rotary_pos_emb(self.seq_length) - from tools import show - - show.DumpTensorToImage(rotary_pos_emb[:, :, 0], "plot.png", scale=0.1) + # show.DumpTensorToImage(rotary_pos_emb[:, :, 0], "rotary_pos_emb.png", scale=0.1) if position_ids is not None: rotary_pos_emb = rotary_pos_emb[position_ids] @@ -753,9 +752,8 @@ class ChatGLMForConditionalGeneration(nn.Module): return_dict=True, output_hidden_states=output_hidden_states, ) - next_token_logits = logits[:, -1, :] - next_token_scores = next_token_logits - probs = nn.functional.softmax(next_token_scores, dim=-1) + next_token_logits = logits[:, 0, :] + probs = nn.functional.softmax(next_token_logits, dim=-1) next_tokens = torch.multinomial(probs, num_samples=1).squeeze(1) # finished sentences should have their next token be a padding token diff --git a/rotary_pos_emb.png b/rotary_pos_emb.png new file mode 100644 index 0000000000000000000000000000000000000000..fa2e5985a55e9bf73762db8b296d69bd979f9bcf GIT binary patch literal 268577 zcmb5X30#fo|393Bnua$2GSZ%5x<1SM{r-IJ^F8*<&z2Lv 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