【论文复现营】torch.as_tensor(data, dtype=None, device=None) -> paddle.to_tensor(d… (#586)

* torch.as_tensor(data, dtype=None, device=None) ->  paddle.to_tensor(data,dtype=None, place=None, stop_gradient=True)

* update

* ToTensorMapper

x2paddle/project_convertor/pytorch/api_mapper/ops.py

@@ -538,3 +538,20 @@ class LinspaceMapper(Mapper):
                 out2 = "{}.requires_grad_({})".format(
                     out2, self.useful_attrs["requires_grad"])
             return out1, out2, out3
+
+class ToTensorMapper(Mapper):
+    def __init__(self, 
+                 func_name,
+                 pytorch_api_name, 
+                 args, kwargs, 
+                 target_name=None):
+        super().__init__(func_name, pytorch_api_name, args, kwargs, target_name)
+
+    def process_attrs(self):
+        rename_key(self.kwargs, "device", "place")
+    def run(self):
+        if self.rename_func_name("paddle.to_tensor"):
+            return [], generate_api_code(self.func_name, self.args, self.kwargs), []
+        else:
+            self.convert_args2kwargs()
+            return self.convert_to_paddle()
\ No newline at end of file

x2paddle/project_convertor/pytorch/mapper.py

@@ -25,6 +25,7 @@ OPTIMIZER_MAPPER = {
     ["paddle.optimizer.lr.MultiStepDecay", LRScheculerMapper],
     "torch.optim.Adam": ["x2paddle.torch2paddle.Adam", None],
     "torch.optim.SGD": ["x2paddle.torch2paddle.Momentum", None]
+    
 }
 
 NN_MAPPER = {
@@ -292,6 +293,7 @@ API_MAPPER = {
     "torch.mul": ["paddle.multiply", TwoMathMapper],
     "torch.einsum": ["paddlenlp.ops.einsum ", None],
     "torch.linspace": ["paddle.linspace", LinspaceMapper],
+    "torch.as_tensor": ["paddle.to_tensor", ToTensorMapper],
 }
 INVALID_API = {
     "torch.channels_last": ["None", None],