From a8adc8ad69be2d62c4cb1c44fe792f1395ba1c8d Mon Sep 17 00:00:00 2001
From: feixi139 <66367509+feixi139@users.noreply.github.com>
Date: Thu, 27 Aug 2026 15:28:09 +0800
Subject: [PATCH 1/2] fix rules for paddle.nn.clip._squared_l2_norm

---
 tester/paddle_to_torch/mapping.json | 3 +++
 tester/paddle_to_torch/rules.py     | 6 +++++-
 2 files changed, 8 insertions(+), 1 deletion(-)

diff --git a/tester/paddle_to_torch/mapping.json b/tester/paddle_to_torch/mapping.json
index e070b224..450639ba 100644
--- a/tester/paddle_to_torch/mapping.json
+++ b/tester/paddle_to_torch/mapping.json
@@ -5116,6 +5116,9 @@
     "paddle._C_ops.squared_l2_norm": {
         "Rule": "CopsSquaredL2NormRule"
     },
+    "paddle.nn.clip._squared_l2_norm": {
+        "Rule": "CopsSquaredL2NormRule"
+    },
     "paddle._C_ops.subtract_": {
         "Rule": "CopsSubtractRule"
     },
diff --git a/tester/paddle_to_torch/rules.py b/tester/paddle_to_torch/rules.py
index 62a70ae1..1c5d151b 100644
--- a/tester/paddle_to_torch/rules.py
+++ b/tester/paddle_to_torch/rules.py
@@ -9185,7 +9185,11 @@ def apply(self, paddle_api: str) -> ConvertResult:
 
 
 class CopsSquaredL2NormRule(BaseRule):
-    PADDLE_APIS = ("paddle._C_ops.squared_l2_norm",)
+    # Python 包装入口在动态图/PIR 下直接委托同一 C++ kernel。
+    PADDLE_APIS = (
+        "paddle._C_ops.squared_l2_norm",
+        "paddle.nn.clip._squared_l2_norm",
+    )
 
     """paddle._C_ops.squared_l2_norm(x) → (x * x).sum() with shape [1] to match Paddle output"""
 

From ff2f87549261968353c8e2d0d381cf675de4ae47 Mon Sep 17 00:00:00 2001
From: feixi139 <66367509+feixi139@users.noreply.github.com>
Date: Thu, 27 Aug 2026 16:49:10 +0800
Subject: [PATCH 2/2] =?UTF-8?q?=E8=A1=A5=E5=85=85=E5=B8=B8=E7=94=A8=20Padd?=
 =?UTF-8?q?le=20API=20=E7=9A=84=20Torch=20=E6=98=A0=E5=B0=84?=
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

---
 tester/paddle_to_torch/mapping.json | 43 +++++++++++++++++++++++++++++
 1 file changed, 43 insertions(+)

diff --git a/tester/paddle_to_torch/mapping.json b/tester/paddle_to_torch/mapping.json
index 450639ba..f9aef13b 100644
--- a/tester/paddle_to_torch/mapping.json
+++ b/tester/paddle_to_torch/mapping.json
@@ -378,6 +378,16 @@
             "y": "other"
         }
     },
+    "paddle.baddbmm": {
+        "torch_api": "torch.baddbmm",
+        "paddle_torch_args_map": {
+            "input": "input",
+            "x": "batch1",
+            "y": "batch2",
+            "beta": "beta",
+            "alpha": "alpha"
+        }
+    },
     "paddle.bmm": {
         "Rule": "BmmRule",
         "torch_api": "torch.bmm",
@@ -433,6 +443,13 @@
     "paddle.Tensor.cast": {
         "Rule": "CastRule"
     },
+    "paddle.cat": {
+        "torch_api": "torch.cat",
+        "paddle_torch_args_map": {
+            "x": "tensors",
+            "axis": "dim"
+        }
+    },
     "paddle.cdist": {
         "torch_api": "torch.cdist",
         "paddle_torch_args_map": {
@@ -495,6 +512,14 @@
             "max": "max"
         }
     },
+    "paddle.clamp": {
+        "torch_api": "torch.clamp",
+        "paddle_torch_args_map": {
+            "x": "input",
+            "min": "min",
+            "max": "max"
+        }
+    },
     "paddle.clone": {
         "torch_api": "torch.clone",
         "paddle_torch_args_map": {
@@ -3667,6 +3692,14 @@
     "paddle.nn.functional.zeropad2d": {
         "Rule": "Zeropad2dRule"
     },
+    "paddle.nn.init.normal_": {
+        "torch_api": "torch.nn.init.normal_",
+        "paddle_torch_args_map": {
+            "tensor": "tensor",
+            "mean": "mean",
+            "std": "std"
+        }
+    },
     "paddle.nn.init.trunc_normal_": {
         "Rule": "TruncNormalRule",
         "torch_api": "torch.nn.init.trunc_normal_",
@@ -4251,6 +4284,16 @@
             "dtype": "dtype"
         }
     },
+    "paddle.randn": {
+        "torch_api": "torch.randn",
+        "set_defaults": {
+            "dtype": "None"
+        },
+        "paddle_torch_args_map": {
+            "shape": "size",
+            "dtype": "dtype"
+        }
+    },
     "paddle.stanh": {
         "Rule": "StanhRule",
         "torch_api": "torch.tanh",