refactor: Apply linting

Signed-off-by: Naren Dasan <[email protected]>
Signed-off-by: Naren Dasan <[email protected]>

core/conversion/var/Var.cpp

@@ -89,7 +89,7 @@ nvinfer1::ITensor* Var::ITensorOrFreeze(ConversionCtx* ctx) {
   if (isIValue()) {
     LOG_DEBUG(ctx->logger, "Found IValue containing object of type " << *(ptr_.ivalue->type()));
   }
-  
+
   TRTORCH_CHECK(
       isITensor() || (isIValue() && (ptr_.ivalue->isTensor() || ptr_.ivalue->isCustomClass())),
       "Requested either IValue containing a Tensor, or ITensor, however Var type is " << type_name());
@@ -100,8 +100,10 @@ nvinfer1::ITensor* Var::ITensorOrFreeze(ConversionCtx* ctx) {
     if (ptr_.ivalue->isTensor()) {
       auto weights = converters::Weights();
       auto tensor = ptr_.ivalue->toTensor();
-      if ((tensor.scalar_type() == at::kLong || tensor.scalar_type() == at::kDouble) && !ctx->settings.truncate_long_and_double) {
-        TRTORCH_THROW_ERROR("Unable to freeze tensor of type Int64/Float64 into constant layer, try to compile model with truncate_long_and_double enabled");
+      if ((tensor.scalar_type() == at::kLong || tensor.scalar_type() == at::kDouble) &&
+          !ctx->settings.truncate_long_and_double) {
+        TRTORCH_THROW_ERROR(
+            "Unable to freeze tensor of type Int64/Float64 into constant layer, try to compile model with truncate_long_and_double enabled");
       } else if (tensor.scalar_type() == at::kLong && ctx->settings.truncate_long_and_double) {
         weights = converters::Weights(ctx, tensor.toType(at::kInt));
         LOG_WARNING("Truncating weight (constant in the graph) from Int64 to Int32");
@@ -111,7 +113,7 @@ nvinfer1::ITensor* Var::ITensorOrFreeze(ConversionCtx* ctx) {
       } else {
         weights = converters::Weights(ctx, tensor);
       }
-      
+
       auto const_layer = ctx->net->addConstant(weights.shape, weights.data);
       TRTORCH_CHECK(const_layer, "Unable to freeze tensor into constant layer");
       out = const_layer->getOutput(0);