[NFC] Hotfix/format (#984)

* [NFC] Polish colossalai/kernel/cuda_native/csrc/multi_tensor_lamb.cu code style. (#937)

* [NFC] polish colossalai/kernel/cuda_native/csrc/kernels/include/cuda_util.h code style (#939)

* [NFC] polish colossalai/kernel/cuda_native/csrc/cpu_adam.cpp code style (#936)

* [NFC] polish colossalai/kernel/cuda_native/csrc/kernels/include/block_reduce.h code style (#938)

* [NFC] polish moe_cuda_kernel.cu code style (#940)

Co-authored-by: Xiao Ye <xiaoye2@illinois.edu>

* [NFC] polish pre-commit run --files colossalai/kernel/cuda_native/csrc/scaled_upper_triang_masked_softmax_cuda.cu code style (#943)

* [NFC] polish colossalai/kernel/cuda_native/csrc/moe_cuda.cpp code style (#942)

* [NFC] polish colossalai/kernel/cuda_native/csrc/cpu_adam.h code style (#945)

* [NFC] polish colossalai/kernel/jit/bias_gelu.py code style (#946)

Co-authored-by: jnbai <897086360@qq.com>

* [NFC] polish colossalai/kernel/cuda_native/csrc/scaled_masked_softmax_cuda.cu code style (#949)

Co-authored-by: Jiatong <jiatong.han@u.nus.edu>

* [NFC] polish colossalai/builder/pipeline.py code style (#951)

* [NFC] polish colossalai/kernel/cuda_native/csrc/multihead_attention_1d.cpp code style (#952)

* [NFC] polish colossalai/kernel/cuda_native/csrc/kernels/cross_entropy.cu code style (#953)

Co-authored-by: 何晓昕 <cautious@hexiaoxins-MacBook-Pro.local>

* [NFC] polish colossalai/kernel/cuda_native/csrc/kernels/softmax_kernels.cu code style (#954)

* [NFC] polish colossalai/kernel/cuda_native/scaled_softmax.py  code style (#955)

* [NFC] polish colossalai/kernel/cuda_native/csrc/kernels/include/context.h code style (#956)

Co-authored-by: RichardoLuo <14049555596@qq.com>

* [NFC] polish colossalai/kernel/cuda_native/csrc/kernels/include/cross_entropy_layer.h code style (#957)

* [NFC] polish colossalai/kernel/cuda_native/csrc/multi_tensor_l2norm_kernel.cu code style (#958)

* [NFC] polish colossalai/kernel/cuda_native/csrc/multihead_attention_1d.h code style (#962)

* [NFC] polish colossalai/kernel/cuda_native/csrc/scaled_upper_triang_masked_softmax.cpp code style (#959)

* [NFC] polish colossalai/kernel/cuda_native/csrc/kernels/general_kernels.cu code style (#963)

Co-authored-by: “Arsmart123 <202476410arsmart@gmail.com>

* [NFC] polish colossalai/kernel/cuda_native/csrc/kernels/include/softmax.h code style (#964)

* [NFC] polish __init__.py code style (#965)

* [NFC] polish colossalai/nn/layer/parallel_3d/layers.py code style (#966)

* [NFC] polish colossalai/kernel/cuda_native/csrc/kernels/include/feed_forward.h (#968)

code style

* [NFC] polish colossalai/kernel/cuda_native/csrc/kernels/include/dropout.h code style (#970)

* [NFC] polish colossalai/nn/layer/parallel_2p5d/layers.py code style (#972)

* [NFC] polish colossalai/kernel/cuda_native/csrc/layer_norm_cuda.cpp code style (#973)

* [NFC] polish colossalai/kernel/cuda_native/csrc/kernels/normalize_kernels.cu code style (#974)

* [NFC] polish colossalai/kernel/cuda_native/csrc/multi_tensor_scale_kernel.cu code style (#977)

* [NFC] polish colossalai/nn/layer/parallel_2d/layers.py code style (#976)

* [NFC] polish colossalai/kernel/cuda_native/csrc/multi_tensor_sgd_kernel.cu code style (#978)

* [NFC] polish colossalai/kernel/cuda_native/csrc/kernels/dropout_kernels.cu code style (#979)

* [NFC] polish colossalai/kernel/cuda_native/layer_norm.py code style (#980)

* [NFC] polish colossalai/nn/layer/utils/common.py code style (#983)

Co-authored-by: BoxiangW <45734921+BoxiangW@users.noreply.github.com>
Co-authored-by: yuxuan-lou <83441848+yuxuan-lou@users.noreply.github.com>
Co-authored-by: Geng Zhang <34452939+zxgx@users.noreply.github.com>
Co-authored-by: Maruyama_Aya <38985202+MaruyamaAya@users.noreply.github.com>
Co-authored-by: XYE <92607131+Itok2000u@users.noreply.github.com>
Co-authored-by: Xiao Ye <xiaoye2@illinois.edu>
Co-authored-by: HaoyuQin <79465534+coder-chin@users.noreply.github.com>
Co-authored-by: wky <64853922+wangkuangyi@users.noreply.github.com>
Co-authored-by: bajiaoyu517 <59548007+bajiaoyu517@users.noreply.github.com>
Co-authored-by: luoling-LC <105470086+luoling-LC@users.noreply.github.com>
Co-authored-by: jnbai <897086360@qq.com>
Co-authored-by: JT.Han <59948448+JThh@users.noreply.github.com>
Co-authored-by: Jiatong <jiatong.han@u.nus.edu>
Co-authored-by: xyupeng <99191637+xyupeng@users.noreply.github.com>
Co-authored-by: Sze-qq <68757353+Sze-qq@users.noreply.github.com>
Co-authored-by: Cautiousss <48676630+Cautiousss@users.noreply.github.com>
Co-authored-by: 何晓昕 <cautious@hexiaoxins-MacBook-Pro.local>
Co-authored-by: Luxios22 <67457897+Luxios22@users.noreply.github.com>
Co-authored-by: Wangbo Zhao(黑色枷锁) <56866854+wangbo-zhao@users.noreply.github.com>
Co-authored-by: RichardoLuo <50363844+RichardoLuo@users.noreply.github.com>
Co-authored-by: RichardoLuo <14049555596@qq.com>
Co-authored-by: doubleHU <98150031+huxin711@users.noreply.github.com>
Co-authored-by: runluo <68489000+run-qiao@users.noreply.github.com>
Co-authored-by: MaxT <854721132@qq.com>
Co-authored-by: superhao1995 <804673818@qq.com>
Co-authored-by: ziyu huang <huang0ziyu@gmail.com>
Co-authored-by: “Arsmart123 <202476410arsmart@gmail.com>
Co-authored-by: Yuer867 <62204893+Yuer867@users.noreply.github.com>
Co-authored-by: lucasliunju <lucasliunju@gmail.com>
Co-authored-by: LuGY <74758262+Gy-Lu@users.noreply.github.com>
Co-authored-by: ExtremeViscent <zhangyiqi55732@sina.com>
Co-authored-by: Xu Kai <xukai16@foxmail.com>
Co-authored-by: Zirui Zhu <zhuzr21@gmail.com>
Co-authored-by: Ofey Chan <ofey206@gmail.com>
Co-authored-by: DouJS <dujiangsu@163.com>
Co-authored-by: Jie Zhu <chore.08-protist@icloud.com>
Co-authored-by: shenggan <csg19971016@gmail.com>
Co-authored-by: Kai Wang (Victor Kai) <37533040+kaiwang960112@users.noreply.github.com>
Co-authored-by: puck_WCR <46049915+WANG-CR@users.noreply.github.com>
Co-authored-by: Ziheng Qin <37519855+henryqin1997@users.noreply.github.com>

colossalai/kernel/jit/bias_gelu.py

@@ -1,6 +1,5 @@
 import torch
 
-
 ###### BIAS GELU FUSION/ NO AUTOGRAD ################
 # 1/sqrt(2*pi)-> 0.3989423
 # 1/sqrt(2)   -> 0.70710678
@@ -9,10 +8,12 @@ import torch
 # actual gelu is:
 # x * 0.5 * (1.0 + torch.erf(x * 0.70710678))
 
+
 @torch.jit.script
 def bias_gelu(bias, y):
     x = bias + y
-    return  x * 0.5 * (1.0 + torch.tanh(0.79788456 * x * (1 + 0.044715 * x * x)))
+    return x * 0.5 * (1.0 + torch.tanh(0.79788456 * x * (1 + 0.044715 * x * x)))
+
 
 # gradient of tanh approximation of gelu
 # gradient of actual gelu is:
@@ -23,9 +24,11 @@ def bias_gelu_back(g, bias, y):
     tanh_out = torch.tanh(0.79788456 * x * (1 + 0.044715 * x * x))
     # sqrt(2/pi) * 3 * 0.044715 -> 0.1070322243
     ff = 0.5 * x * ((1 - tanh_out * tanh_out) * (0.79788456 + 0.1070322243 * x * x)) + 0.5 * (1 + tanh_out)
-    return ff*g
+    return ff * g
+
 
 class GeLUFunction(torch.autograd.Function):
+
     @staticmethod
     # bias is an optional argument
     def forward(ctx, input, bias):
@@ -38,4 +41,5 @@ class GeLUFunction(torch.autograd.Function):
         tmp = bias_gelu_back(grad_output, bias, input)
         return tmp, tmp
 
-bias_gelu_impl = GeLUFunction.apply
+
+bias_gelu_impl = GeLUFunction.apply