message: Fix the issues
  1. LSTM indents error
  2. Check batch_normalization
diff: @@ -1242,6 +1242,24 @@ at::Tensor AtenIpexCPUDev::dil_batch_norm(
  double momentum,
  double eps,
  bool cudnn_enabled) {
  +
  + #define CHECK_MISMATCH(arg_name, expected, actual) \
  + IPEX_CHECK(actual == expected, arg_name, " should contain ", expected, " elements not ", actual)
  +
  + auto num_features = input.sizes()[1];
  + if (running_mean.defined()) {
  + CHECK_MISMATCH("running_mean", num_features, running_mean.numel());
  + }
  + if (running_var.defined()) {
  + CHECK_MISMATCH("running_var", num_features, running_var.numel());
  + }
  + if (weight.defined()) {
  + CHECK_MISMATCH("weight", num_features, weight.numel());
  + }
  + if (bias.defined()) {
  + CHECK_MISMATCH("bias", num_features, bias.numel());
  + }
  +
  return std::get<0>(at::native_batch_norm(
  input,
  weight,
  @@ -1253,11 +1271,6 @@ at::Tensor AtenIpexCPUDev::dil_batch_norm(
  eps));
  }
  -void check_dims_match_num_input_features(const char* arg_name, int64_t expected, int64_t actual){
  - IPEX_CHECK(actual == expected,
  - arg_name, " should contain ", expected, " elements not ", actual);
  -}
  -
  std::tuple<at::Tensor, at::Tensor, at::Tensor> AtenIpexCPUDev::dil_native_batch_norm(
  const at::Tensor& input,
  const at::Tensor& weight,
  @@ -1268,22 +1281,6 @@ std::tuple<at::Tensor, at::Tensor, at::Tensor> AtenIpexCPUDev::dil_native_batch_
  double momentum,
  double eps) {
  DEBUG("AtenIpexCPUDev::dil_native_batch_norm\n");
  -#define CHECK_MISMATCH(arg_name, expected, actual) \
  - IPEX_CHECK(actual == expected, arg_name, " should contain ", expected, " elements not ", actual)
  -
  - auto num_features = input.sizes()[1];
  - if (running_mean.defined()) {
  - CHECK_MISMATCH("running_mean", num_features, running_mean.numel());
  - }
  - if (running_var.defined()) {
  - CHECK_MISMATCH("running_var", num_features, running_var.numel());
  - }
  - if (weight.defined()) {
  - CHECK_MISMATCH("weight", num_features, weight.numel());
  - }
  - if (bias.defined()) {
  - CHECK_MISMATCH("bias", num_features, bias.numel());
  - }
  bool is_layer_norm = (!weight.defined()) && (!bias.defined()) && (!running_mean.defined()) && (!running_var.defined());
  if (is_layer_norm) {
  