Fix 123 unittests by autofix

paconvert/api_mapping.json

@@ -3343,7 +3343,8 @@
     "min_input_args": 0,
     "args_list": [
       "dtype",
-      "non_blocking"
+      "non_blocking",
+      "dst_type"
     ]
   },
   "torch.Tensor.type_as": {

tests/test_nn_Module_type.py

@@ -34,9 +34,7 @@ def test_case_1():
 
 
 # Will match torch.Tensor.type to resolve "dst_type" parameter.
-# paddle not support: 'Layer' object has no attribute 'type'
-# convert failed when using keyword argument.
-def _test_case_2():
+def test_case_2():
     pytorch_code = textwrap.dedent(
         """
         import torch

tools/validate_unittest/validate_unittest.py

@@ -56,67 +56,65 @@
 
 abstract_api_aux_set = {
     "torch.autograd.Function.forward",
+    "torch.autograd.Function.backward",
+    "torch.optim.Optimizer.step",
     "torch.utils.data.Dataset",
+    "torch.nn.Module",
     "torch.autograd.Function",
     "torch.utils.data.IterableDataset",
-    "torch.autograd.Function.backward",
-    "torch.nn.Module",
-    "torch.optim.Optimizer.step",
 }
 
 overloadable_api_aux_set = {
-    "torch.min",
-    "torch.Tensor.to",
-    "torch.max",
+    "torch.mean",
     "torch.Tensor.max",
+    "torch.Tensor.to",
+    "torch.trapz",
+    "torch.prod",
+    "torch.Tensor.var",
     "torch.Tensor.min",
-    "torch.Tensor.scatter",
-    "torch.Tensor.scatter_",
+    "torch.Tensor.sort",
     "torch.Tensor.std",
+    "torch.trapezoid",
+    "torch.normal",
+    "torch.var_mean",
     "torch.std_mean",
-    "torch.mean",
-    "torch.std",
+    "torch.min",
     "torch.sort",
-    "torch.Tensor.var",
-    "torch.Tensor.view",
+    "torch.max",
     "torch.searchsorted",
-    "torch.Tensor.sort",
-    "torch.trapezoid",
     "torch.cumulative_trapezoid",
-    "torch.trapz",
+    "torch.std",
+    "torch.Tensor.scatter_",
+    "torch.Tensor.scatter",
     "torch.scatter",
-    "torch.var_mean",
-    "torch.prod",
-    "torch.normal",
+    "torch.Tensor.view",
 }
 
 cornercase_api_aux_dict = {
-    "torch.Tensor.uniform_": 'keyword "from" is conflict with python keyword "from"',
     "torch.Tensor.remainder": "keyword `divisor` or `other` is not supported unexpectedly",
-    "torch.profiler.schedule": "3 keyword args have no default value",
-    "torch.nn.functional.upsample": "only one of size or scale_factor should be defined",
-    "torch.nn.functional.upsample_bilinear": "only one of size or scale_factor should be defined",
-    "torch.nn.functional.upsample_nearest": "only one of size or scale_factor should be defined",
-    "torch.utils.cpp_extension.CUDAExtension": "args_list is configured by python built-in library",
-    "torch.utils.cpp_extension.CppExtension": "args_list is configured by python built-in library",
-    "torch.utils.dlpack.to_dlpack": 'arg "tensor" only accept position argument',
+    "torch.Tensor.type": "reserve dst_type arg for torch.nn.Module.type",
+    "torch.Tensor.uniform_": 'keyword "from" is conflict with python keyword "from"',
     "torch.autograd.function.FunctionCtx.mark_non_differentiable": "expect only '*args' as arguments, so check is not supported",
-    "torch.utils.cpp_extension.CUDAExtension": "args_list is configured by python built-in library",
-    "torch.utils.cpp_extension.CppExtension": "args_list is configured by python built-in library",
-    "torch.utils.dlpack.to_dlpack": 'arg "tensor" only accept position argument',
-    "torch.var": "this api has breaking change in pytorch 2.0",
     "torch.autograd.function.FunctionCtx.save_for_backward": "expect only '*tensors' as arguments, so check is not supported",
     "torch.chain_matmul": "this api will be deprecated and has var position args",
     "torch.clamp": "one of `min` and `max` must be specified.",
+    "torch.from_numpy": "from_numpy() takes no keyword arguments",
+    "torch.linalg.lstsq": "result shape dismatch",
+    "torch.linalg.matrix_rank": "this api has deprecated arg `tol`",
     "torch.linalg.solve_triangular": 'keyword arg "upper" has no default value',
-    "torch.sparse_csr_tensor": "paddle must specified arg `shapes`",
+    "torch.nn.GRUCell": "paddle result has diff with pytorch result when all parameters use default value",
     "torch.nn.Identity": "this api accept any inputs but all is unused",
     "torch.nn.LSTMCell": "paddle result has diff with pytorch result when all parameters use default value",
-    "torch.nn.GRUCell": "paddle result has diff with pytorch result when all parameters use default value",
+    "torch.nn.functional.upsample": "only one of size or scale_factor should be defined",
+    "torch.nn.functional.upsample_bilinear": "only one of size or scale_factor should be defined",
+    "torch.nn.functional.upsample_nearest": "only one of size or scale_factor should be defined",
+    "torch.profiler.schedule": "3 keyword args have no default value",
     "torch.randint_like": "this api has strange arg list, so `min_input_args` check is not supported",
-    "torch.linalg.matrix_rank": "this api has deprecated arg `tol`",
-    "torch.linalg.lstsq": "result shape dismatch",
-    "torch.from_numpy": "from_numpy() takes no keyword arguments",
+    "torch.sparse_csr_tensor": "paddle must specified arg `shapes`",
+    "torch.utils.cpp_extension.CUDAExtension": "args_list is configured by python built-in library",
+    "torch.utils.cpp_extension.CppExtension": "args_list is configured by python built-in library",
+    "torch.utils.dlpack.to_dlpack": 'arg "tensor" only accept position argument',
+    "torch.var": "this api has breaking change in pytorch 2.0",
 }