fix Tensor.cuda/requires_grad/ctx.saved_tensors

Author: zhwesky2010

paconvert/api_mapping.json

@@ -818,18 +818,7 @@
     "paddle_api": "paddle.Tensor.crows"
   },
   "torch.Tensor.cuda": {
-    "Matcher": "Device2IntMatcher",
-    "paddle_api": "paddle.Tensor.cuda",
-    "min_input_args": 0,
-    "args_list": [
-      "device",
-      "non_blocking",
-      "memory_format"
-    ],
-    "kwargs_change": {
-      "device": "device_id",
-      "memory_format": ""
-    }
+    "Matcher": "ChangePrefixMatcher"
   },
   "torch.Tensor.cummax": {
     "Matcher": "ChangePrefixMatcher"
@@ -3319,9 +3308,6 @@
   "torch.autograd.function.FunctionCtx.save_for_forward": {
     "min_input_args": 0
   },
-  "torch.autograd.function.FunctionCtx.saved_tensors": {
-    "Matcher": "ChangePrefixMatcher"
-  },
   "torch.autograd.function.FunctionCtx.set_materialize_grads": {
     "Matcher": "ChangePrefixMatcher"
   },

paconvert/converter.py

@@ -27,9 +27,6 @@
 
 from paconvert.transformer.basic_transformer import BasicTransformer
 from paconvert.transformer.import_transformer import ImportTransformer
-from paconvert.transformer.tensor_requires_grad_transformer import (
-    TensorRequiresGradTransformer,
-)
 from paconvert.transformer.custom_op_transformer import (
     PreCustomOpTransformer,
     CustomOpTransformer,
@@ -378,7 +375,6 @@ def transfer_file(self, old_path, new_path):
     def transfer_node(self, root, file):
         transformers = [
             ImportTransformer,  # import ast transformer
-            TensorRequiresGradTransformer,  # attribute requires_grad transformer
             BasicTransformer,  # most of api transformer
             PreCustomOpTransformer,  # pre process for C++ custom op
             CustomOpTransformer,  # C++ custom op transformer