convert pytorch model to paddlepaddle model

.gitignore

@@ -1,3 +1,4 @@
+.idea
 # Byte-compiled / optimized / DLL files
 __pycache__/
 *.py[cod]

tools/pytorch2paddlepaddle.py

@@ -0,0 +1,28 @@
+import torch
+import numpy as np
+from models.swin_transformer import SwinTransformer
+# 构建输入
+input_data = np.random.rand(1, 3, 224, 224).astype("float32")
+
+
+swin_model_cfg_map = {
+    "swin_tiny_patch4_window7_224": {
+        "EMBED_DIM": 96,
+        "DEPTHS": [ 2, 2, 6, 2 ],
+        "NUM_HEADS": [ 3, 6, 12, 24 ],
+        "WINDOW_SIZE": 7,
+    }
+}
+
+model_name = "swin_tiny_patch4_window7_224"
+torch_module = SwinTransformer(**swin_model_cfg_map[model_name])
+torch_state_dict = torch.load("/home/andy/data/pretrained_models/{}.pth".format(model_name))["model"]
+torch_module.load_state_dict(torch_state_dict)
+# 设置为eval模式
+torch_module.eval()
+# 进行转换
+from x2paddle.convert import pytorch2paddle
+pytorch2paddle(torch_module,
+               save_dir="pd_{}".format(model_name),
+               jit_type="trace",
+               input_examples=[torch.tensor(input_data)])