From 48c4a180c7cc615a23bbeccc601b96ec3bceeefa Mon Sep 17 00:00:00 2001
From: superhao1995 <804673818@qq.com>
Date: Sun, 15 May 2022 09:01:34 +0800
Subject: [PATCH] [NFC] polish
 colossalai/kernel/cuda_native/csrc/scaled_upper_triang_masked_softmax.cpp
 code style (#959)

---
 .../scaled_upper_triang_masked_softmax.cpp    | 45 +++++++++----------
 1 file changed, 20 insertions(+), 25 deletions(-)

diff --git a/colossalai/kernel/cuda_native/csrc/scaled_upper_triang_masked_softmax.cpp b/colossalai/kernel/cuda_native/csrc/scaled_upper_triang_masked_softmax.cpp
index 590ea7b3f..cbbc37064 100644
--- a/colossalai/kernel/cuda_native/csrc/scaled_upper_triang_masked_softmax.cpp
+++ b/colossalai/kernel/cuda_native/csrc/scaled_upper_triang_masked_softmax.cpp
@@ -3,57 +3,52 @@
 
 #include <cuda_fp16.h>
 #include <torch/extension.h>
+
 #include <vector>
 
 namespace multihead_attn {
 namespace fused_softmax {
 namespace scaled_upper_triang_masked_softmax {
 
-torch::Tensor fwd_cuda(
-    torch::Tensor const& input, 
-    float scale_factor);
+torch::Tensor fwd_cuda(torch::Tensor const& input, 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);
 
 torch::Tensor fwd(torch::Tensor const& input, float scale_factor) {
   AT_ASSERTM(input.dim() == 3, "expected 3D 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");
 
   return fwd_cuda(input, 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() == 3, "expected 3D tensor");
   AT_ASSERTM(softmax_results.dim() == 3, "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);
 }
 
-} // end namespace scaled_upper_triang_masked_softmax
-} // end namespace fused_softmax
-} // end namespace multihead_attn
+}  // end namespace scaled_upper_triang_masked_softmax
+}  // end namespace fused_softmax
+}  // end namespace multihead_attn
 
 PYBIND11_MODULE(TORCH_EXTENSION_NAME, m) {
-  m.def("forward", 
+  m.def("forward",
         &multihead_attn::fused_softmax::scaled_upper_triang_masked_softmax::fwd,
-	"Self Multihead Attention scaled, time masked softmax -- Forward.");
-  m.def("backward", 
+        "Self Multihead Attention scaled, time masked softmax -- Forward.");
+  m.def("backward",
         &multihead_attn::fused_softmax::scaled_upper_triang_masked_softmax::bwd,
-	"Self Multihead Attention scaled, time masked softmax -- Backward.");
+        "Self Multihead Attention scaled, time masked softmax -- Backward.");
 }