repair issue for same column name and para check

mindspore/dataset/core/validator_helpers.py

@@ -95,7 +95,7 @@ def check_uint32(value, arg_name=""):
 
 def check_pos_int32(value, arg_name=""):
     type_check(value, (int,), arg_name)
-    check_value(value, [POS_INT_MIN, INT32_MAX])
+    check_value(value, [POS_INT_MIN, INT32_MAX], arg_name)
 
 
 def check_uint64(value, arg_name=""):
@@ -143,6 +143,8 @@ def check_columns(columns, name):
 
         col_names = ["{0}[{1}]".format(name, i) for i in range(len(columns))]
         type_check_list(columns, (str,), col_names)
+        if len(set(columns)) != len(columns):
+            raise ValueError("Every column name should not be same with others in column_names.")
 
 
 def parse_user_args(method, *args, **kwargs):

mindspore/dataset/engine/datasets.py

@@ -44,7 +44,7 @@ from .validators import check_batch, check_shuffle, check_map, check_filter, che
     check_take, check_project, check_imagefolderdatasetv2, check_mnist_cifar_dataset, check_manifestdataset, \
     check_tfrecorddataset, check_vocdataset, check_cocodataset, check_celebadataset, check_minddataset, \
     check_generatordataset, check_sync_wait, check_zip_dataset, check_add_column, check_textfiledataset, check_concat, \
-    check_split, check_bucket_batch_by_length, check_cluedataset
+    check_split, check_bucket_batch_by_length, check_cluedataset, check_positive_int32
 from ..core.datatypes import mstype_to_detype, mstypelist_to_detypelist
 
 try:
@@ -939,6 +939,7 @@ class Dataset:
             raise TypeError("apply_func must return a dataset.")
         return dataset
 
+    @check_positive_int32
     def device_que(self, prefetch_size=None):
         """
         Return a transferredDataset that transfer data through device.
@@ -956,6 +957,7 @@ class Dataset:
         """
         return self.to_device()
 
+    @check_positive_int32
     def to_device(self, num_batch=None):
         """
         Transfer data through CPU, GPU or Ascend devices.
@@ -973,7 +975,7 @@ class Dataset:
         Raises:
             TypeError: If device_type is empty.
             ValueError: If device_type is not 'Ascend', 'GPU' or 'CPU'.
-            ValueError: If num_batch is None or 0 or larger than int_max.
+            ValueError: If num_batch is negative or larger than int_max.
             RuntimeError: If dataset is unknown.
             RuntimeError: If distribution file path is given but failed to read.
         """

mindspore/dataset/engine/validators.py

@@ -25,7 +25,7 @@ from mindspore._c_expression import typing
 from ..core.validator_helpers import parse_user_args, type_check, type_check_list, check_value, \
     INT32_MAX, check_valid_detype, check_dir, check_file, check_sampler_shuffle_shard_options, \
     validate_dataset_param_value, check_padding_options, check_gnn_list_or_ndarray, check_num_parallel_workers, \
-    check_columns, check_positive
+    check_columns, check_positive, check_pos_int32
 
 from . import datasets
 from . import samplers
@@ -593,6 +593,25 @@ def check_take(method):
     return new_method
 
 
+def check_positive_int32(method):
+    """check whether the input argument is positive and int, only works for functions with one input."""
+
+    @wraps(method)
+    def new_method(self, *args, **kwargs):
+        [count], param_dict = parse_user_args(method, *args, **kwargs)
+        para_name = None
+        for key in list(param_dict.keys()):
+            if key not in ['self', 'cls']:
+                para_name = key
+        # Need to get default value of param
+        if count is not None:
+            check_pos_int32(count, para_name)
+
+        return method(self, *args, **kwargs)
+
+    return new_method
+
+
 def check_zip(method):
     """check the input arguments of zip."""