Fixed code style errors.

Author: pramods-cad

tensorflow/lite/micro/kernels/xtensa/lstm_eval.cc

@@ -473,7 +473,8 @@ void LstmStepManager::UpdateBatch() {
 // Multi-batch for time_major input
 RuntimeShape LstmStepManager::InputShape() const {
   int batch_size = 1;
-  if (size_info_.time_major || ((size_info_.batch_size > 1 && size_info_.time_steps == 1))) {
+  if (size_info_.time_major ||
+      (size_info_.batch_size > 1 && size_info_.time_steps == 1)) {
     batch_size = size_info_.batch_size;
   }
   const int dims[2] = {batch_size, size_info_.input_dimension};
@@ -485,7 +486,8 @@ RuntimeShape LstmStepManager::InputShape() const {
 // Multi-batch for time_major input
 RuntimeShape LstmStepManager::StateShape() const {
   int batch_size = 1;
-  if (size_info_.time_major || (size_info_.batch_size > 1 && size_info_.time_steps == 1)) {
+  if (size_info_.time_major ||
+      (size_info_.batch_size > 1 && size_info_.time_steps == 1)) {
     batch_size = size_info_.batch_size;
   }
   const int dims[2] = {batch_size, size_info_.state_dimension};

tensorflow/lite/micro/kernels/xtensa/lstm_eval.h

@@ -666,7 +666,7 @@ void LstmStep(const LstmStepManager& step_info, const OpDataLSTM& op_data,
   const int batch_size = size_info.batch_size;
   const int time_steps = size_info.time_steps;
   const int num_batches = time_major == 0 ? (time_steps == 1 ? batch_size : 1)
-                              : step_info.batch_size();
+                                          : step_info.batch_size();
   const int input_dimension = step_info.input_dimension();
   const int state_dimension = step_info.state_dimension();
 
@@ -807,10 +807,10 @@ TfLiteStatus EvalLstm(const OpDataLSTM& op_data,
       // prepare for the next time step
       step_info.UpdateTime();
     }
-  } else if(size_info.batch_size > 1 && size_info.time_steps == 1) {
+  } else if (size_info.batch_size > 1 && size_info.time_steps == 1) {
     // Ramesh
     lstm_internal::LstmStep<ActivationType, WeightType, CellType, BiasType>(
-            step_info, op_data, kernel_content, buffers);
+        step_info, op_data, kernel_content, buffers);
   } else {
     for (int b = 0; b < size_info.batch_size; b++) {
       for (int t = 0; t < size_info.time_steps; t++) {