add NumWorkers validate

mindspore/ccsrc/minddata/dataset/include/datasets.h

@@ -309,6 +309,19 @@ class Dataset : public std::enable_shared_from_this<Dataset> {
   /// \param[in] num_workers The number of threads in this operator
   /// \return Shared pointer to the original object
   std::shared_ptr<Dataset> SetNumWorkers(int32_t num_workers) {
+#if !defined(_WIN32) && !defined(_WIN64)
+#ifndef ENABLE_ANDROID
+    int32_t cpu_count = sysconf(_SC_NPROCESSORS_CONF);
+    if (cpu_count < 0 || cpu_count > INT32_MAX) {
+      MS_LOG(ERROR) << "Error determining current CPU: " << cpu_count;
+      return nullptr;
+    }
+    if (num_workers < 1 || num_workers > cpu_count) {
+      MS_LOG(ERROR) << "num_workers exceeds the boundary between 1 and " << cpu_count;
+      return nullptr;
+    }
+#endif
+#endif
     num_workers_ = num_workers;
     return shared_from_this();
   }
@@ -336,7 +349,7 @@ class Dataset : public std::enable_shared_from_this<Dataset> {
   ///    range would be kept. 0 <= min_frequency <= max_frequency <= total_words. min_frequency/max_frequency
   ///    can be set to default, which corresponds to 0/total_words separately
   /// \param[in] top_k Number of words to be built into vocab. top_k most frequent words are
-  //     taken. The top_k is taken after freq_range. If not enough top_k, all words will be taken
+  ///    taken. The top_k is taken after freq_range. If not enough top_k, all words will be taken
   /// \param[in] special_tokens A list of strings, each one is a special token
   /// \param[in] special_first Whether special_tokens will be prepended/appended to vocab, If special_tokens
   ///    is specified and special_first is set to default, special_tokens will be prepended

mindspore/dataset/engine/validators.py

@@ -555,7 +555,7 @@ def check_map(method):
          callbacks], _ = \
             parse_user_args(method, *args, **kwargs)
 
-        nreq_param_columns = ['input_columns', 'output_columns']
+        nreq_param_columns = ['input_columns', 'output_columns', 'columns_order']
 
         if columns_order is not None:
             type_check(columns_order, (list,), "columns_order")
@@ -571,7 +571,7 @@ def check_map(method):
             else:
                 type_check(callbacks, (callback.DSCallback,), "callbacks")
 
-        for param_name, param in zip(nreq_param_columns, [input_columns, output_columns]):
+        for param_name, param in zip(nreq_param_columns, [input_columns, output_columns, columns_order]):
             if param is not None:
                 check_columns(param, param_name)
         if callbacks is not None:

tests/ut/cpp/dataset/c_api_dataset_ops_test.cc

@@ -950,3 +950,25 @@ TEST_F(MindDataTestPipeline, TestZipSuccess2) {
   // Manually terminate the pipeline
   iter->Stop();
 }
+
+#if !defined(_WIN32) && !defined(_WIN64)
+#ifndef ENABLE_ANDROID
+TEST_F(MindDataTestPipeline, TestNumWorkersValidate) {
+  // Testing the static zip() function
+  MS_LOG(INFO) << "Doing MindDataTestPipeline-TestNumWorkersValidate.";
+
+  // Create an ImageFolder Dataset
+  std::string folder_path = datasets_root_path_ + "/testPK/data/";
+  std::shared_ptr<Dataset> ds = ImageFolder(folder_path, true, RandomSampler(false, 9));
+  EXPECT_NE(ds, nullptr);
+
+  // test if set num_workers=-1
+  std::shared_ptr<Dataset> ds1 = ds->SetNumWorkers(-1);
+  EXPECT_EQ(ds1, nullptr);
+
+  // test if set num_workers>cpu_count
+  std::shared_ptr<Dataset> ds2 = ds->SetNumWorkers(UINT32_MAX);
+  EXPECT_EQ(ds2, nullptr);
+}
+#endif
+#endif