From ce66dffeaf5d905c7ced57c0b095a9a0d4c62622 Mon Sep 17 00:00:00 2001
From: oneflow-ci-bot <ci-bot@oneflow.org>
Date: Wed, 8 Jan 2025 07:03:50 +0000
Subject: [PATCH] auto format by CI

---
 oneflow/core/autograd/gradient_funcs/layer_norm.cpp | 2 +-
 oneflow/user/kernels/layer_norm_cpu_kernel.cpp      | 4 ++--
 2 files changed, 3 insertions(+), 3 deletions(-)

diff --git a/oneflow/core/autograd/gradient_funcs/layer_norm.cpp b/oneflow/core/autograd/gradient_funcs/layer_norm.cpp
index 515c754c05b..24fdc0e523c 100644
--- a/oneflow/core/autograd/gradient_funcs/layer_norm.cpp
+++ b/oneflow/core/autograd/gradient_funcs/layer_norm.cpp
@@ -119,7 +119,7 @@ Maybe<void> LayerNorm::Apply(const LayerNormCaptureState* ctx, const TensorTuple
         *in_grads = *JUST(functional::FuseLayerNormGrad(
             dy, x, mean, inv_variance, gamma, begin_norm_axis, begin_params_axis, ctx->epsilon));
       } else {
-	UNIMPLEMENTED();
+        UNIMPLEMENTED();
       }
     }
   } else {
diff --git a/oneflow/user/kernels/layer_norm_cpu_kernel.cpp b/oneflow/user/kernels/layer_norm_cpu_kernel.cpp
index 473b01bc019..757476be533 100644
--- a/oneflow/user/kernels/layer_norm_cpu_kernel.cpp
+++ b/oneflow/user/kernels/layer_norm_cpu_kernel.cpp
@@ -68,8 +68,8 @@ class FuseLayerNormGradCpuKernel final : public user_op::OpKernel {
   void Compute(user_op::KernelComputeContext* ctx) const override { TODO(); };
 };
 
-#define REGISTER_FUSE_LAYER_NORM_GRAD_CPU_KERNEL(dtype)                    \
-  REGISTER_USER_KERNEL("fuse_layer_norm_grad")                             \
+#define REGISTER_FUSE_LAYER_NORM_GRAD_CPU_KERNEL(dtype)               \
+  REGISTER_USER_KERNEL("fuse_layer_norm_grad")                        \
       .SetCreateFn<LayerNormGradCpuKernel<dtype>>()                   \
       .SetIsMatchedHob((user_op::HobDeviceType() == DeviceType::kCPU) \
                        && (user_op::HobDataType("dy", 0) == GetDataType<dtype>::value));