Fix CI errors

Author: From00

python/paddle/tensor/math.py

@@ -912,7 +912,6 @@ def get_dtype(x, dtype):
 
  out_dtype = convert_np_dtype_to_dtype_(dtype)
  out = _C_ops.final_state_sum(x, axis, out_dtype, keepdim)
- print(f"in python api, result = {out}")
  return out
 
  if _in_legacy_dygraph():

python/paddle/utils/code_gen/api.yaml

@@ -1367,7 +1367,7 @@
  # no_need_buffer : x, y
 
 - api : sum
- args : (Tensor x, int64_t[] dims={0}, DataType out_dtype=paddle::experimental::DataType::UNDEFINED, bool keep_dim=false)
+ args : (Tensor x, int64_t[] dims={}, DataType out_dtype=paddle::experimental::DataType::UNDEFINED, bool keep_dim=false)
  output : Tensor(out)
  infer_meta :
  func : SumInferMeta

python/paddle/utils/code_gen/backward.yaml

@@ -950,7 +950,7 @@
  func : subtract_grad
 
 - backward_api : sum_grad
- forward : sum (Tensor x, int64_t[] dims={0}, DataType out_dtype=paddle::experimental::DataType::UNDEFINED, bool keep_dim=false) -> Tensor(out)
+ forward : sum (Tensor x, int64_t[] dims={}, DataType out_dtype=paddle::experimental::DataType::UNDEFINED, bool keep_dim=false) -> Tensor(out)
  args : (Tensor x, Tensor out_grad, int64_t[] dims, bool keep_dim, bool reduce_all=false)
  output : Tensor(x_grad)
  infer_meta :