diff --git a/mindspore/ccsrc/minddata/dataset/audio/kernels/audio_utils.cc b/mindspore/ccsrc/minddata/dataset/audio/kernels/audio_utils.cc
index 11089c1cae3..697a2a228ca 100644
--- a/mindspore/ccsrc/minddata/dataset/audio/kernels/audio_utils.cc
+++ b/mindspore/ccsrc/minddata/dataset/audio/kernels/audio_utils.cc
@@ -340,7 +340,7 @@ Status Dct(std::shared_ptr<Tensor> *output, int n_mfcc, int n_mels, NormMode nor
   TensorShape dct_shape({n_mels, n_mfcc});
   Tensor::CreateEmpty(dct_shape, DataType(DataType::DE_FLOAT32), output);
   auto iter = (*output)->begin<float>();
-  float sqrt_2 = 1 / sqrt(2);
+  const float sqrt_2 = 1 / sqrt(2);
   float sqrt_2_n_mels = sqrt(2.0 / n_mels);
   for (int i = 0; i < n_mels; i++) {
     for (int j = 0; j < n_mfcc; j++) {
@@ -886,7 +886,7 @@ Status ComputeCmnStartAndEnd(int32_t cmn_window, int32_t min_cmn_window, bool ce
   RETURN_IF_NOT_OK(ValidateNonNegative("SlidingWindowCmn", "cmn_window", cmn_window));
   RETURN_IF_NOT_OK(ValidateNonNegative("SlidingWindowCmn", "min_cmn_window", min_cmn_window));
   int32_t cmn_window_start = 0, cmn_window_end = 0;
-  constexpr int window_center = 2;
+  const constexpr int window_center = 2;
   if (center) {
     cmn_window_start = idx - cmn_window / window_center;
     cmn_window_end = cmn_window_start + cmn_window;
@@ -1023,8 +1023,8 @@ Status SlidingWindowCmnHelper(const std::shared_ptr<Tensor> &input, std::shared_
   *r_it = num_frames;
   RETURN_IF_NOT_OK(cmn_waveform->Reshape(TensorShape(re_shape)));
 
-  constexpr int specify_input_shape = 2;
-  constexpr int specify_first_shape = 1;
+  const constexpr int specify_input_shape = 2;
+  const constexpr int specify_first_shape = 1;
   if (input_shape.size() == specify_input_shape && cmn_waveform->shape()[0] == specify_first_shape) {
     cmn_waveform->Squeeze();
   }
diff --git a/mindspore/ccsrc/minddata/dataset/audio/kernels/riaa_biquad_op.cc b/mindspore/ccsrc/minddata/dataset/audio/kernels/riaa_biquad_op.cc
index f73a18446a8..9fa13efc1f2 100644
--- a/mindspore/ccsrc/minddata/dataset/audio/kernels/riaa_biquad_op.cc
+++ b/mindspore/ccsrc/minddata/dataset/audio/kernels/riaa_biquad_op.cc
@@ -63,7 +63,7 @@ Status RiaaBiquadOp::Compute(const std::shared_ptr<Tensor> &input, std::shared_p
   float b_im = b1 * sin(-w0) + b2 * sin(-2 * w0);
   float a_im = a1 * sin(-w0) + a2 * sin(-2 * w0);
   // temp is the intermediate variable used to solve for b0, b1, b2.
-  float temp = 1 / sqrt((b_re * b_re + b_im * b_im) / (a_re * a_re + a_im * a_im));
+  const float temp = 1 / sqrt((b_re * b_re + b_im * b_im) / (a_re * a_re + a_im * a_im));
   b0 *= temp;
   b1 *= temp;
   b2 *= temp;
diff --git a/mindspore/ccsrc/minddata/dataset/audio/kernels/treble_biquad_op.cc b/mindspore/ccsrc/minddata/dataset/audio/kernels/treble_biquad_op.cc
index 984aa137cf9..ba3de84ec10 100644
--- a/mindspore/ccsrc/minddata/dataset/audio/kernels/treble_biquad_op.cc
+++ b/mindspore/ccsrc/minddata/dataset/audio/kernels/treble_biquad_op.cc
@@ -37,7 +37,7 @@ Status TrebleBiquadOp::Compute(const std::shared_ptr<Tensor> &input, std::shared
   float attenuation = exp(gain_ / 40 * log(10));
 
   // temp1, temp2, temp3 are the intermediate variable used to solve for a and b.
-  float temp1 = 2 * sqrt(attenuation) * alpha;
+  const float temp1 = 2 * sqrt(attenuation) * alpha;
   float temp2 = (attenuation - 1) * cos(w0);
   float temp3 = (attenuation + 1) * cos(w0);
 
diff --git a/mindspore/ccsrc/minddata/dataset/engine/perf/profiling.cc b/mindspore/ccsrc/minddata/dataset/engine/perf/profiling.cc
index 26553443119..2642e1c082d 100644
--- a/mindspore/ccsrc/minddata/dataset/engine/perf/profiling.cc
+++ b/mindspore/ccsrc/minddata/dataset/engine/perf/profiling.cc
@@ -111,7 +111,7 @@ void Tracing::Record(const int32_t type, const int32_t extra_info, const int32_t
   (void)records_.emplace_back(record);
   (void)value_.emplace_back(record.ToString());
   // save timestamp per batch
-  constexpr int32_t RECORDS_PER_STEP = 4;
+  const constexpr int32_t RECORDS_PER_STEP = 4;
   if (records_.size() % RECORDS_PER_STEP == 0) {
     (void)ts_.emplace_back(time_stamp);
   }
@@ -158,7 +158,7 @@ Status Tracing::StepIntervalForTimeRange(uint64_t start_ts, uint64_t end_ts, int
 Status Tracing::GetRecordEntryFieldValue(int32_t start_step, int32_t end_step, int32_t record_offset,
                                          const std::string &field, std::vector<int32_t> *result) {
   std::lock_guard<std::mutex> guard(lock_);
-  constexpr int32_t RECORDS_PER_STEP = 4;
+  const constexpr int32_t RECORDS_PER_STEP = 4;
   auto total_steps = records_.size() / RECORDS_PER_STEP;
   MS_LOG(DEBUG) << "start_step: " << start_step << " end_step: " << end_step;
   CHECK_FAIL_RETURN_UNEXPECTED(start_step <= total_steps,
diff --git a/mindspore/dataset/core/config.py b/mindspore/dataset/core/config.py
index 02d6f8b1686..df2478b9e67 100644
--- a/mindspore/dataset/core/config.py
+++ b/mindspore/dataset/core/config.py
@@ -33,7 +33,8 @@ __all__ = ['set_seed', 'get_seed', 'set_prefetch_size', 'get_prefetch_size', 'se
            'get_num_parallel_workers', 'set_numa_enable', 'get_numa_enable', 'set_monitor_sampling_interval',
            'get_monitor_sampling_interval', 'set_callback_timeout', 'get_callback_timeout',
            'set_auto_num_workers', 'get_auto_num_workers', 'set_enable_shared_mem', 'get_enable_shared_mem',
-           'set_sending_batches', 'load', '_init_device_info']
+           'set_sending_batches', 'load', '_init_device_info', 'set_enable_autotune', 'get_enable_autotune',
+           'set_autotune_interval', 'get_autotune_interval']
 
 INT32_MAX = 2147483647
 UINT32_MAX = 4294967295