linter

Author: miladm

torch_xla/csrc/aten_xla_type.cpp

@@ -2316,9 +2316,10 @@ std::tuple<at::Tensor, at::Tensor> XLANativeFunctions::nll_loss_forward(
 at::Tensor XLANativeFunctions::nonzero(const at::Tensor& self) {
   XLA_FN_COUNTER("xla::");
   XLATensor self_tensor = bridge::GetXlaTensor(self);
-  /* 
+  /*
    * REMOVE THIS SECTION TO ENABLE CREATING DYNAMIC SHAPES FOR POC
-   * TODO: REMOVE THIS SECTION AFTER POC SUCCEEDS: https://github.com/pytorch/xla/pull/3558
+   * TODO: REMOVE THIS SECTION AFTER POC SUCCEEDS:
+   * https://github.com/pytorch/xla/pull/3558
    *
    * // Initially make XLA handled nonzero() handling experimental, and opt-in.
    * if (!DebugUtil::ExperimentEnabled("nonzero")) {

torch_xla/csrc/tensor.h

@@ -21,9 +21,9 @@
 #include "torch_xla/csrc/ir.h"
 #include "torch_xla/csrc/ir_util.h"
 #include "torch_xla/csrc/lowering_context.h"
-#include "torch_xla/csrc/xla_sharding_util.h"
 #include "torch_xla/csrc/ops/dynamic_ir.h"
 #include "torch_xla/csrc/view.h"
+#include "torch_xla/csrc/xla_sharding_util.h"
 
 namespace torch_xla {
 

torch_xla/csrc/torch_util.h

@@ -5,10 +5,10 @@
 #include <c10/util/Optional.h>
 
 #include "tensorflow/compiler/xla/shape.h"
+#include "torch/csrc/lazy/core/dynamic_ir.h"
 #include "torch/csrc/lazy/core/hash.h"
 #include "torch/csrc/lazy/core/tensor.h"
 #include "torch/csrc/lazy/core/util.h"
-#include "torch/csrc/lazy/core/dynamic_ir.h"
 
 namespace torch_xla {