[xpu]add script to deal safetensor file for fuse op

scripts/conver_safetensor.py

@@ -0,0 +1,60 @@
+import paddle
+import safetensors.paddle
+import numpy as np
+
+new_safetensors = {}
+metadata = {"total_size": "16582751232",}
+layer11_gate_weight = None
+layer11_up_weight = None
+for idx in range(1, 6):
+    file_path = "/path/to/Qwen2-VL-7B-Instruct/model-0000" + str(idx) + "-of-00005.safetensors"
+    new_file_path="/new_path/to/Qwen2-VL-7B-Instruct-fuse_qkv/model-0000" + str(idx) + "-of-00005.safetensors"
+    theta = (
+            safetensors.paddle.load_file(file_path)
+            )
+    for key, val in theta.items():
+        # print("key = ", key, " val.shape = ", val.shape)
+        if len(key.split('.')) == 6 and key.split('.', 4)[4] == 'q_proj.weight':
+            q_weight = val
+            k_weight = theta[key.replace('q_proj', 'k_proj')]
+            v_weight = theta[key.replace('q_proj', 'v_proj')]
+            qkv_weight = paddle.concat([q_weight, k_weight, v_weight], axis=-1)
+            # print(qkv_weight.shape)
+            new_safetensors[key.replace('q_proj', 'qkv_proj')] = qkv_weight
+        elif len(key.split('.')) == 6 and key.split('.', 4)[4] == 'q_proj.bias':
+            q_bias = val
+            k_bias = theta[key.replace('q_proj', 'k_proj')]
+            v_bias = theta[key.replace('q_proj', 'v_proj')]
+            qkv_bias = paddle.concat([q_bias, k_bias, v_bias], axis=-1)
+            # print(qkv_bias.shape)
+            new_safetensors[key.replace('q_proj', 'qkv_proj')] = qkv_bias
+        elif len(key.split('.')) == 6 and key.split('.', 4)[4] == 'k_proj.weight':
+            continue
+        elif len(key.split('.')) == 6 and key.split('.', 4)[4] == 'k_proj.bias':
+            continue
+        elif len(key.split('.')) == 6 and key.split('.', 4)[4] == 'v_proj.weight':
+            continue
+        elif len(key.split('.')) == 6 and key.split('.', 4)[4] == 'v_proj.bias':
+            continue
+        elif len(key.split('.')) == 6 and key.split('.', 2)[2] == '11.mlp.up_proj.weight':
+            layer11_up_weight = val
+        elif len(key.split('.')) == 6 and key.split('.', 2)[2] == '11.mlp.gate_proj.weight':
+            layer11_gate_weight = val
+            gate_up_weight = paddle.concat([layer11_gate_weight, layer11_up_weight], axis=-1)
+            new_safetensors[key.replace('gate_proj', 'gate_up_fused_proj')] = gate_up_weight
+        elif len(key.split('.')) == 6 and key.split('.', 4)[4] == 'gate_proj.weight':
+            gate_weight = val
+            up_weight = theta[key.replace('gate_proj', 'up_proj')]
+            gate_up_weight = paddle.concat([gate_weight, up_weight], axis=-1)
+            new_safetensors[key.replace('gate_proj', 'gate_up_fused_proj')] = gate_up_weight
+        elif len(key.split('.')) == 6 and key.split('.', 4)[4] == 'up_proj.weight':
+            continue
+        else:
+            new_safetensors[key] = val
+    # save new safetensors
+    safetensors.paddle.save_file(new_safetensors, new_file_path, metadata=metadata)
+    print("save new safetensors for ", new_file_path)
+    new_safetensors.clear()
+
+
+