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修改代码以便可以从onnx转换为trt格式 #2

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修改代码以便可以从onnx转换为trt格式 #2

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2 changes: 1 addition & 1 deletion llm_export.py
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Original file line number Diff line number Diff line change
Expand Up @@ -558,7 +558,7 @@ def load_model(self, model_path: str):
self.model_dynamic_axes = {
"input_ids" : { 0: "seq_len" },
"attention_mask" : { 2: "seq_len", 3: "seq_len" },
"position_ids" : { 0: "seq_len" },
"position_ids" : { 1: "seq_len" },
"past_key_values" : { 4: "history_len" }
}

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13 changes: 9 additions & 4 deletions llm_models/Llama-2-7b-chat-ms/modeling_llama.py
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Expand Up @@ -180,10 +180,15 @@ def apply_rotary_pos_emb(q, k, cos, sin, position_ids):
# The first two dimensions of cos and sin are always 1, so we can `squeeze` them.
# cos = cos.squeeze(1).squeeze(0) # [seq_len, dim]
# sin = sin.squeeze(1).squeeze(0) # [seq_len, dim]
cos = torch.squeeze(cos) # [seq_len, dim]
sin = torch.squeeze(sin) # [seq_len, dim]
cos = cos[position_ids].unsqueeze(1) # [bs, 1, seq_len, dim]
sin = sin[position_ids].unsqueeze(1) # [bs, 1, seq_len, dim]
#cos = torch.squeeze(cos) # [seq_len, dim]
#sin = torch.squeeze(sin) # [seq_len, dim]
#cos = cos[position_ids].unsqueeze(1) # [bs, 1, seq_len, dim]
#sin = sin[position_ids].unsqueeze(1) # [bs, 1, seq_len, dim]
cos = cos.view(cos.shape[2], cos.shape[3]) # [seq_len, dim]
cos = cos[position_ids].view(position_ids.shape[0], 1, position_ids.shape[1], cos.shape[1]) # [bs, 1, seq_len, dim]
sin = sin.view(sin.shape[2], sin.shape[3]) # [seq_len, dim]
sin = sin[position_ids].view(position_ids.shape[0], 1, position_ids.shape[1], sin.shape[1]) # [bs, 1, seq_len, dim]

q_embed = (q * cos) + (rotate_half(q) * sin)
k_embed = (k * cos) + (rotate_half(k) * sin)
return q_embed, k_embed
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