fix format (#568)

colossalai/kernel/__init__.py

 from .cuda_native import LayerNorm, FusedScaleMaskSoftmax, MultiHeadAttention
 
-__all__ = [
-    "LayerNorm", "FusedScaleMaskSoftmax", "MultiHeadAttention"
-]
+__all__ = ["LayerNorm", "FusedScaleMaskSoftmax", "MultiHeadAttention"]

colossalai/kernel/cuda_native/csrc/colossal_C_frontend.cpp

-// modified from https://github.com/NVIDIA/apex/blob/master/csrc/multi_tensor_adam.cu
+// modified from
+// https://github.com/NVIDIA/apex/blob/master/csrc/multi_tensor_adam.cu
 #include <torch/extension.h>
 
-void multi_tensor_scale_cuda(
-  int chunk_size,
-  at::Tensor noop_flag,
+void multi_tensor_scale_cuda(int chunk_size, at::Tensor noop_flag,
                              std::vector<std::vector<at::Tensor>> tensor_lists,
                              float scale);
 
-void multi_tensor_sgd_cuda(
-    int chunk_size,
-    at::Tensor noop_flag,
+void multi_tensor_sgd_cuda(int chunk_size, at::Tensor noop_flag,
                            std::vector<std::vector<at::Tensor>> tensor_lists,
-    float wd,
-    float momentum,
-    float dampening,
-    float lr,
-    bool nesterov,
-    bool first_run,
-    bool wd_after_momentum,
-    float scale);
+                           float wd, float momentum, float dampening, float lr,
+                           bool nesterov, bool first_run,
+                           bool wd_after_momentum, float scale);
 
-void multi_tensor_adam_cuda(
-    int chunk_size,
-    at::Tensor noop_flag,
+void multi_tensor_adam_cuda(int chunk_size, at::Tensor noop_flag,
                             std::vector<std::vector<at::Tensor>> tensor_lists,
-    const float lr,
-    const float beta1,
-    const float beta2,
-    const float epsilon,
-    const int step,
-    const int mode,
+                            const float lr, const float beta1,
+                            const float beta2, const float epsilon,
+                            const int step, const int mode,
                             const int bias_correction,
                             const float weight_decay);
 
-void multi_tensor_lamb_cuda(
-    int chunk_size,
-    at::Tensor noop_flag,
+void multi_tensor_lamb_cuda(int chunk_size, at::Tensor noop_flag,
                             std::vector<std::vector<at::Tensor>> tensor_lists,
-    const float lr,
-    const float beta1,
-    const float beta2,
-    const float epsilon,
-    const int step,
-    const int bias_correction,
-    const float weight_decay,
-    const int grad_averaging,
-    const int mode,
-    at::Tensor global_grad_norm,
+                            const float lr, const float beta1,
+                            const float beta2, const float epsilon,
+                            const int step, const int bias_correction,
+                            const float weight_decay, const int grad_averaging,
+                            const int mode, at::Tensor global_grad_norm,
                             const float max_grad_norm,
                             at::optional<bool> use_nvlamb_python);
 
-std::tuple<at::Tensor, at::Tensor> multi_tensor_l2norm_cuda(
-    int chunk_size,
-    at::Tensor noop_flag,
+std::tuple<at::Tensor, at::Tensor>
+multi_tensor_l2norm_cuda(int chunk_size, at::Tensor noop_flag,
                          std::vector<std::vector<at::Tensor>> tensor_lists,
                          at::optional<bool> per_tensor_python);
 
-PYBIND11_MODULE(TORCH_EXTENSION_NAME, m)
-{
+PYBIND11_MODULE(TORCH_EXTENSION_NAME, m) {
   m.def("multi_tensor_scale", &multi_tensor_scale_cuda,
         "Fused overflow check + scale for a list of contiguous tensors");
   m.def("multi_tensor_sgd", &multi_tensor_sgd_cuda,