diff --git a/colossalai/kernel/cuda_native/csrc/scaled_masked_softmax.cpp b/colossalai/kernel/cuda_native/csrc/scaled_masked_softmax.cpp
index 4ae3c853c..8c2982b0c 100644
--- a/colossalai/kernel/cuda_native/csrc/scaled_masked_softmax.cpp
+++ b/colossalai/kernel/cuda_native/csrc/scaled_masked_softmax.cpp
@@ -3,82 +3,68 @@
 
 #include <cuda_fp16.h>
 #include <torch/extension.h>
+
 #include <vector>
 
 namespace multihead_attn {
 namespace fused_softmax {
 namespace scaled_masked_softmax {
 
-torch::Tensor fwd_cuda(
-    torch::Tensor const& input, 
-    torch::Tensor const& mask,
-    float scale_factor);
+torch::Tensor fwd_cuda(torch::Tensor const& input, torch::Tensor const& mask,
+                       float scale_factor);
 
-torch::Tensor bwd_cuda(
-    torch::Tensor const& output_grads, 
-    torch::Tensor const& softmax_results,
-    float scale_factor);
+torch::Tensor bwd_cuda(torch::Tensor const& output_grads,
+                       torch::Tensor const& softmax_results,
+                       float scale_factor);
 
-int get_batch_per_block_cuda(
-    int query_seq_len,
-    int key_seq_len,
-    int batches,
-    int attn_heads);
+int get_batch_per_block_cuda(int query_seq_len, int key_seq_len, int batches,
+                             int attn_heads);
 
-torch::Tensor fwd(
-    torch::Tensor const& input,
-    torch::Tensor const& mask,
-    float scale_factor) {
+torch::Tensor fwd(torch::Tensor const& input, torch::Tensor const& mask,
+                  float scale_factor) {
   AT_ASSERTM(input.dim() == 4, "expected 4D tensor");
   AT_ASSERTM((input.scalar_type() == at::ScalarType::Half) ||
-	     (input.scalar_type() == at::ScalarType::BFloat16), 
-      "Only fp16 and bf16 are supported");
+                 (input.scalar_type() == at::ScalarType::BFloat16),
+             "Only fp16 and bf16 are supported");
   AT_ASSERTM(mask.dim() == 4, "expected 4D tensor");
 
   return fwd_cuda(input, mask, scale_factor);
 }
 
-torch::Tensor bwd(
-    torch::Tensor const& output_grads, 
-    torch::Tensor const& softmax_results,
-    float scale_factor) {
-
+torch::Tensor bwd(torch::Tensor const& output_grads,
+                  torch::Tensor const& softmax_results, float scale_factor) {
   AT_ASSERTM(output_grads.dim() == 4, "expected 3D tensor");
   AT_ASSERTM(softmax_results.dim() == 4, "expected 3D tensor");
 
   AT_ASSERTM((output_grads.scalar_type() == at::ScalarType::Half) ||
-	     (output_grads.scalar_type() == at::ScalarType::BFloat16), 
-      "Only fp16 and bf16 are supported");
+                 (output_grads.scalar_type() == at::ScalarType::BFloat16),
+             "Only fp16 and bf16 are supported");
   AT_ASSERTM((softmax_results.scalar_type() == at::ScalarType::Half) ||
-	     (softmax_results.scalar_type() == at::ScalarType::BFloat16), 
-      "Only fp16 and bf16 are supported");
+                 (softmax_results.scalar_type() == at::ScalarType::BFloat16),
+             "Only fp16 and bf16 are supported");
 
   return bwd_cuda(output_grads, softmax_results, scale_factor);
 }
 
-int get_batch_per_block(
-    int query_seq_len,
-    int key_seq_len,
-    int batches,
-    int attn_heads) {
-    return get_batch_per_block_cuda(query_seq_len, key_seq_len, batches, attn_heads);
+int get_batch_per_block(int query_seq_len, int key_seq_len, int batches,
+                        int attn_heads) {
+  return get_batch_per_block_cuda(query_seq_len, key_seq_len, batches,
+                                  attn_heads);
 }
 
-} // end namespace scaled_masked_softmax
-} // end namespace fused_softmax
-} // end namespace multihead_attn
+}  // end namespace scaled_masked_softmax
+}  // end namespace fused_softmax
+}  // end namespace multihead_attn
 
 PYBIND11_MODULE(TORCH_EXTENSION_NAME, m) {
-  m.def("forward", 
-        &multihead_attn::fused_softmax::scaled_masked_softmax::fwd, 
-	"Self Multihead Attention scaled, time masked softmax -- Forward.");
+  m.def("forward", &multihead_attn::fused_softmax::scaled_masked_softmax::fwd,
+        "Self Multihead Attention scaled, time masked softmax -- Forward.");
 
-  m.def("backward",
-        &multihead_attn::fused_softmax::scaled_masked_softmax::bwd,
-	"Self Multihead Attention scaled, time masked softmax -- Backward.");
+  m.def("backward", &multihead_attn::fused_softmax::scaled_masked_softmax::bwd,
+        "Self Multihead Attention scaled, time masked softmax -- Backward.");
 
   m.def("get_batch_per_block",
-        &multihead_attn::fused_softmax::scaled_masked_softmax::get_batch_per_block,
-        "Return Batch per block size."
-  );
+        &multihead_attn::fused_softmax::scaled_masked_softmax::
+            get_batch_per_block,
+        "Return Batch per block size.");
 }