Log_softmax forward case#1: axis=-1 #31630

AshburnLee · 2021-03-15T07:20:24Z

PR types

Performance optimization

PR changes

OPs

Describe

功能

实现log_softmax的cuda版本。如下是前向计算的3个case。当前PR实现case#1。

if (inner_size == 1) {
    if (dim_size <= 1024 && dim_size * sizeof(T) <= 4096) {
        case#1  
    } else {
        case#2
    }
} else {
    case#3
}

说明

cuda实现支持了float16，原Eigen实现不支持float16。

Update forked PaddlePaddle

Update my fork

update from PaddlePaddle

Update forked paddle repo

Update USERNAME/paddle

update Paddle USERNAME repo

update username repo

… log_softmax

paddle-bot-old · 2021-03-15T07:20:40Z

Thanks for your contribution!
Please wait for the result of CI firstly. See Paddle CI Manual for details.

… log_softmax

Xreki · 2021-03-17T05:11:41Z

paddle/fluid/operators/log_softmax_op.cu

@@ -1,4 +1,4 @@
-// Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved.


这个文件不是今年新增的，不用改copyright吧。

Xreki · 2021-03-17T05:18:50Z

paddle/fluid/operators/log_softmax_op.cu

-    ops::LogSoftmaxKernel<plat::CUDADeviceContext, plat::float16>);
+REGISTER_OP_CUDA_KERNEL(log_softmax,
+                        ops::LogSoftmaxKernel<plat::CUDADeviceContext, float>,
+                        ops::LogSoftmaxKernel<plat::CUDADeviceContext, double>);


为什么把float16类型去掉了？

Done，支持了float16。

Xreki · 2021-03-17T05:49:10Z

paddle/fluid/operators/log_softmax_op.cu

+    break;
+
+template <typename T, int WARP_BATCH, int WARP_SIZE_SOFTMAX>
+__device__ __forceinline__ void warp_reduce_sum(T* sum) {


函数名应准确地表达函数的功能，函数命名也需要符合Google C++代码风格。warp_reduce_sum -> BatchWarpReduceSum

下同

Xreki · 2021-03-17T05:56:22Z

paddle/fluid/operators/log_softmax_op.cu

+        dst, src, batch_count, softmax_elements_stride, softmax_elements); \
+    break;
+
+template <typename T, int WARP_BATCH, int WARP_SIZE_SOFTMAX>


模板中变量名用AxxBxx这种驼峰式命名方式。

这里WARP_BATCH应该是说一个warp负责计算几个batch吧，那不如直接叫NumBatch或BatchSize

Xreki · 2021-03-17T05:57:32Z

paddle/fluid/operators/log_softmax_op.cu

+namespace operators {
+
+#define WARP_SIZE 32
+int log2_ceil(int value);


函数名除一些类里面的setter、getter函数外，都采用AxxBxx这种命名方式，看一下Google C++代码规范

Xreki · 2021-03-17T07:36:18Z

paddle/fluid/operators/log_softmax_op.cu

+struct LogSoftmaxCUDAFunctor {
+  void operator()(const DeviceContext& context, const framework::Tensor* X,
+                  framework::Tensor* Out, const int axis) {
+    int along_axis = (axis < 0) ? axis + X->dims().size() : axis;


CanonicalAxis已经对axis做了换算了。

Done。已删除

Xreki · 2021-03-17T07:38:01Z

paddle/fluid/operators/log_softmax_op.cu

+    int inner_size = 1;
+    for (int i = 0; i < along_axis; i++) outer_size *= X->dims()[i];
+    for (int i = along_axis + 1; i < X->dims().size(); i++)
+      inner_size *= X->dims()[i];


SizeToAxis和SizeFromAxis可以分别计算outer_size和inner_size

outer_size可以用SizeToAxis()得到；inner_size的计算与SizeFromAxis()有差别。这里应该调SizeOutAxis()。但是SizeOutAxis()定义在其他.cu文件中，在该文件中不能直接调用。（nvcc 没有开启 --relocatable-device-code=true --compile，开启后可以调用）。

所以保留inner_size，用SizeToAxis()获得outer_size。

Xreki · 2021-03-17T07:38:56Z

paddle/fluid/operators/log_softmax_op.cu

+}
+
+template <typename DeviceContext, typename T>
+struct LogSoftmaxCUDAFunctor {


感觉这一层的封装没有必要。

Xreki · 2021-03-17T07:39:36Z

paddle/fluid/operators/log_softmax_op.cu

+ public:
+  void Compute(const framework::ExecutionContext& context) const override {
+    const auto* X = context.Input<framework::Tensor>("X");
+    auto* Out = context.Output<framework::Tensor>("Out");


变量名命名：axx_bxx

变量名都改为了这种形式。

X、Out还没改。

Xreki · 2021-03-17T07:40:59Z

paddle/fluid/operators/log_softmax_op.cu

+}
+
+template <typename T>
+void LogSoftmaxForwardAxisLast(T* dst, const T* src, int softmax_elements,


这个函数主要的功能是启动CUDA Kernel，所以可以叫LaunchLogSoftmaxForwardForLastAxis。

Xreki · 2021-03-17T07:51:25Z

PR title和描述都再补充详细一点。

xingfeng01 · 2021-03-17T08:04:07Z

paddle/fluid/operators/log_softmax_op.cu

+  for (int i = 0; i < WARP_BATCH; ++i) {
+#pragma unroll
+    for (int it = 0; it < WARP_ITERATIONS; ++it) {
+      sum[i] += std::exp(elements[i][it] - max_value[i]);


float16的时候会有问题吗？

是因为__shfl_xor_sync&__shfl_xor不支持fp16。应该是可以处理的

Done，已处理。

… log_softmax

AshburnLee

已经按照review意见做了修改

AshburnLee · 2021-03-17T08:56:11Z

paddle/fluid/operators/log_softmax_op.cu

-    ops::LogSoftmaxKernel<plat::CUDADeviceContext, plat::float16>);
+REGISTER_OP_CUDA_KERNEL(log_softmax,
+                        ops::LogSoftmaxKernel<plat::CUDADeviceContext, float>,
+                        ops::LogSoftmaxKernel<plat::CUDADeviceContext, double>);


Done，支持了float16。

AshburnLee · 2021-03-17T08:59:23Z

paddle/fluid/operators/log_softmax_op.cu

+  for (int i = 0; i < WARP_BATCH; ++i) {
+#pragma unroll
+    for (int it = 0; it < WARP_ITERATIONS; ++it) {
+      sum[i] += std::exp(elements[i][it] - max_value[i]);


Done，已处理。

AshburnLee · 2021-03-17T08:59:54Z

paddle/fluid/operators/log_softmax_op.cu

@@ -1,4 +1,4 @@
-// Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved.


AshburnLee · 2021-03-17T09:27:41Z

paddle/fluid/operators/log_softmax_op.cu

+namespace operators {
+
+#define WARP_SIZE 32
+int log2_ceil(int value);


AshburnLee · 2021-03-17T09:27:59Z

paddle/fluid/operators/log_softmax_op.cu

+        dst, src, batch_count, softmax_elements_stride, softmax_elements); \
+    break;
+
+template <typename T, int WARP_BATCH, int WARP_SIZE_SOFTMAX>


AshburnLee · 2021-03-17T09:29:12Z

paddle/fluid/operators/log_softmax_op.cu

+struct LogSoftmaxCUDAFunctor {
+  void operator()(const DeviceContext& context, const framework::Tensor* X,
+                  framework::Tensor* Out, const int axis) {
+    int along_axis = (axis < 0) ? axis + X->dims().size() : axis;


Done。已删除

AshburnLee · 2021-03-17T09:30:38Z

paddle/fluid/operators/log_softmax_op.cu

+    int inner_size = 1;
+    for (int i = 0; i < along_axis; i++) outer_size *= X->dims()[i];
+    for (int i = along_axis + 1; i < X->dims().size(); i++)
+      inner_size *= X->dims()[i];


outer_size可以用SizeToAxis()得到；inner_size的计算与SizeFromAxis()有差别。这里应该调SizeOutAxis()。但是SizeOutAxis()定义在其他.cu文件中，在该文件中不能直接调用。（nvcc 没有开启 --relocatable-device-code=true --compile，开启后可以调用）。

所以保留inner_size，用SizeToAxis()获得outer_size。

AshburnLee · 2021-03-17T11:21:41Z

paddle/fluid/operators/log_softmax_op.cu

+  constexpr int KERNEL_WARP_SIZE =
+      (next_power_of_two < WARP_SIZE) ? next_power_of_two : WARP_SIZE;
+  constexpr int WARP_ITERATIONS = next_power_of_two / KERNEL_WARP_SIZE;
+  constexpr int WARP_BATCH = (next_power_of_two <= 128) ? 2 : 1;


AshburnLee · 2021-03-17T11:46:03Z

paddle/fluid/operators/log_softmax_op.cu

+ public:
+  void Compute(const framework::ExecutionContext& context) const override {
+    const auto* X = context.Input<framework::Tensor>("X");
+    auto* Out = context.Output<framework::Tensor>("Out");


变量名都改为了这种形式。

AshburnLee · 2021-03-17T13:57:58Z

paddle/fluid/operators/log_softmax_op.cu

+}
+
+template <typename DeviceContext, typename T>
+struct LogSoftmaxCUDAFunctor {


… log_softmax

Xreki · 2021-03-18T03:58:29Z

paddle/fluid/operators/log_softmax_op.cu

+
+#define LAUNCH_SOFTMAX_WARP_FORWARD(L2E)                                   \
+  case L2E:                                                                \
+    WarpLogSoftmaxForward<T, double, L2E><<<blocks, threads, 0>>>(         \


不要都用double，double速度会很慢。

Xreki · 2021-03-18T04:00:18Z

paddle/fluid/operators/log_softmax_op.cu

+      int element_index = local_idx + it * kernel_warp_size;
+      if (element_index < batch_element_count) {
+        elements[i][it] =
+            static_cast<double>(src[i * element_count + it * kernel_warp_size]);


不要都用double

Xreki · 2021-03-18T04:01:07Z

paddle/fluid/operators/log_softmax_op.cu

+// 3.store result
+#pragma unroll
+  for (int i = 0; i < num_batch; ++i) {
+    if (i >= local_batches) break;


这种if语句分行写，并且都加上{}。

Xreki · 2021-03-18T04:02:15Z

paddle/fluid/operators/log_softmax_op.cu

+  }
+}
+
+template <typename T, typename AccT, int log2_elements>


模板里面的变量其实是常量，命名用AxxBxx形式，以跟函数里面的变量区分。

Xreki · 2021-03-18T04:02:56Z

paddle/fluid/operators/log_softmax_op.cu

+ public:
+  void Compute(const framework::ExecutionContext& context) const override {
+    const auto* X = context.Input<framework::Tensor>("X");
+    auto* Out = context.Output<framework::Tensor>("Out");


X、Out还没改。

Xreki · 2021-03-18T04:03:38Z

paddle/fluid/operators/log_softmax_op.cu

+    for (int i = axis + 1; i < X->dims().size(); i++)
+      inner_size *= X->dims()[i];
+    int outer_size = 1;
+    outer_size = SizeToAxis(axis, X->dims());


191和192可以合成1行。

… log_softmax

qili93 · 2021-03-23T04:33:41Z

paddle/fluid/operators/log_softmax_op.cu

@@ -12,7 +12,177 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.

+#include <cuda_runtime.h>


HIP上会找不到cuda_runtime.h，可以试试看删掉这个头文件应该也可以运行，或者写成

#ifdef __HIPCC__ #include <hip/hip_runtime.h> #else #include <cuda_runtime.h> #endif

… log_softmax

Xreki · 2021-03-23T12:56:54Z

paddle/fluid/operators/log_softmax_op.cu

+    }
+    int outer_size = SizeToAxis(axis, x->dims());
+
+    if (inner_size == 1 && dim_size <= 1024 && dim_size * sizeof(T) <= 4096) {


if里面为什么要加&& dim_size * sizeof(T) <= 4096这个判断呢？不支持double吗？

支持double。当把&& dim_size * sizeof(T) <= 4096删去，可以正确执行，但是一致性的diff从0.0 变为1.0728e-6（atol=1.00e-6）。

&& dim_size <= 1024是必要的。

当outer_size=128，dim_size=1024时，有config<<<32, (32, 4)>>>，warp_iter=32，正确执行。
当outer_size=128，dim_size=1025时，有config<<<32, (32, 4)>>>，warp_iter=64，不能得到结果。

warp_iter表示一个thread使用到的寄存器，应该是warp_iter=64超过硬件限制了。

Xreki · 2021-03-23T13:05:33Z

paddle/fluid/operators/log_softmax_op.cu

+    break;
+
+template <typename T, int KernelWarpSize>
+__device__ __forceinline__ void ReduceSumForWarpBatch(T &sum) {


C++一般都传const T&，不推荐这种方式修改传进来的实参。另外这个函数既然去掉了计算batch的循环，那函数名就应该去掉batch。

将两个WarpReduce函数的返回值从void改为T。

其实可以调用math_cuda_utils.h的函数，只是其中的函数WARP_SIZE为常量32，但这里的WARP_SIZE不一定是32。

改名Done.

Xreki · 2021-03-23T13:07:31Z

paddle/fluid/operators/log_softmax_op.cu

+  case near_greater_power_of_two:                                            \
+    ComputeForwardInWarp<T, double,                                          \
+                         near_greater_power_of_two><<<blocks, threads, 0>>>( \
+        dst, src, outer_size, dim_size, dim_size);                           \


为什么要传2个dim_size？

一个就够，Done.

Xreki · 2021-03-23T13:33:06Z

paddle/fluid/operators/log_softmax_op.cu

+  int kernel_warp_size =
+      (near_greater_power_of_two < 32) ? near_greater_power_of_two : 32;
+  int warps_per_block = (threads_per_block / kernel_warp_size);
+  int blocks = (outer_size + warps_per_block - 1) / warps_per_block;


对于输入[N, 32]和[N, 128]，kernel_warp_size=32，warps_per_block=4，这2种情况都是一个线程block分成4组，每组线程（即一个warp）计算1个batch？

每组线程确实计算1个batch。

当N确定，通过观察configure<<<blocks, threads>>>随dim_size变化的变化，可以发现：
当dim_size>16时，threads始终为（32，4），变化的是blocks，和warp_iter，batch是1。

假设N=128，变量有以下变化

对于输入[N, 32]：dim_size: 32, kernel_warp_size: 32, warp_iter: 1, warp_batch: 1, config<<<4, (32, 4)>>>, numElem: 512 numThreads: 512

对于输入[N, 128]: dim_size: 128, kernel_warp_size: 32, warp_iter: 4, warp_batch: 1, config<<<4, (32, 4)>>>, numElem: 2048 numThreads: 2048

这里numThreads表示线程数及其循环次数。

确认是计算1个batch。

Xreki · 2021-03-23T13:35:36Z

paddle/fluid/operators/log_softmax_op.cu

+}
+
+template <typename T, typename AccT, int NearGreaterPowerOfTwo>
+__global__ void ComputeForwardInWarp(T *dst, const T *src, int batch_size,


函数名还是要体现功能，LogSoftmaxForwardXxx

paddle/fluid/operators/log_softmax_op.cu

Xreki · 2021-03-23T13:56:56Z

paddle/fluid/operators/log_softmax_op.cu

+  constexpr int kernel_warp_size =
+      (near_greater_power_of_two < 32) ? near_greater_power_of_two : 32;
+  constexpr int warp_iter = near_greater_power_of_two / kernel_warp_size;
+  int warp_id = blockDim.y * blockIdx.x + threadIdx.y;


应该是global_batch_id。

根据上一条回复，我觉得改为global_warp_id 更合适。

Xreki · 2021-03-23T13:59:16Z

paddle/fluid/operators/log_softmax_op.cu

+  for (int it = 0; it < warp_iter; ++it) {
+    int element_index = thread_in_warp_idx + it * kernel_warp_size;
+    if (element_index < effective_element_count) {
+      elements[it] = static_cast<double>(


double -> AccT

Xreki · 2021-03-23T14:04:23Z

paddle/fluid/operators/log_softmax_op.cu

+  }
+}
+
+template <typename T>


模板设置：

template <typename T, typename AccT> void LaunchSoftmaxForwardForLastAxis(....) { ... }

外层调用：LaunchSoftmaxForwardForLastAxis<T, MPTypeTrait<T>::Type>(...)，即可解决模板调用中的double。MPTypeTrait的定义见：

Paddle/paddle/fluid/operators/amp/fp16_type_traits.h

Lines 23 to 33 in 3f66e7d

template <typename T>

class MPTypeTrait {

public:

using Type = T;

};

template <>

class MPTypeTrait<platform::float16> {

public:

using Type = float;

};

Done. 谢谢提供的解决方案！

Xreki · 2021-03-23T14:06:58Z

paddle/fluid/operators/log_softmax_op.cu

+    const auto *input_data = x->data<T>();
+    auto *output_data = out->mutable_data<T>(context.GetPlace());
+
+    PADDLE_ENFORCE_GT(x->numel(), 0, platform::errors::InvalidArgument(


这种检查不需要，InferShape中的检查一般能覆盖到。

… log_softmax

Xreki · 2021-04-07T13:22:43Z

paddle/fluid/operators/log_softmax_op.cu

+#define LAUNCH_WARP_FORWAR_COMPUTE(near_greater_power_of_two)        \
+  case near_greater_power_of_two:                                    \
+    ComputeLogSoftmaxForwardInWarp<                                  \
+        T, AccT, near_greater_power_of_two><<<blocks, threads, 0>>>( \


CUDA Kernel启动要传入stream。

Xreki · 2021-04-07T13:34:20Z

paddle/fluid/operators/log_softmax_op.cu

+  constexpr int kernel_warp_size =
+      (near_greater_power_of_two < 32) ? near_greater_power_of_two : 32;
+  constexpr int warp_iter = near_greater_power_of_two / kernel_warp_size;
+  int global_warp_id = blockDim.y * blockIdx.x + threadIdx.y;


输入为[batch_size, element_count]，near_greater_power_of_two代表了elemen_count。所以这个kernel是使用kernel_warp_size个线程来计算一行，所以global_warp_id也就是全局的行号。

另外，kernel_warp_size也就是blockDim.x。

在CUDA里面，warp是硬件层面的概念，这里说的一个warp其实是一行，概念上容易引起困惑。

是的。global_warp_id是全局的行号。

是的。

一个warp处理一行，所以这个global_warp_id 改名为 batch_id。

paddle/fluid/operators/log_softmax_op.cu

Xreki · 2021-04-07T13:46:42Z

paddle/fluid/operators/log_softmax_op.cu

+
+  // 2.compute max_value. For each thread, loop all registers to find max
+  AccT max_value;
+  max_value = elements[0];


L92和L93可以合并成一行。

Xreki · 2021-04-07T13:49:09Z

paddle/fluid/operators/log_softmax_op.cu

+    int element_index = thread_in_warp_idx + it * kernel_warp_size;
+    if (element_index < element_count) {
+      dst[global_warp_id * element_count + element_index] =
+          elements[it] - max_value - sum;


写回数据使用static_cast显式转换成T类型吧。

… log_softmax

Xreki

LGTM

qili93

LGTM

AshburnLee added 9 commits September 8, 2020 09:45

Merge pull request #1 from PaddlePaddle/develop

8f532b0

Update forked PaddlePaddle

Merge pull request #2 from PaddlePaddle/develop

5b5804d

Update my fork

Merge pull request #3 from PaddlePaddle/develop

cee2470

update from PaddlePaddle

Merge pull request #4 from PaddlePaddle/develop

5be3a45

Update forked paddle repo

Merge pull request #5 from PaddlePaddle/develop

a1d92b7

Update USERNAME/paddle

Merge pull request #6 from PaddlePaddle/develop

e674a5d

update Paddle USERNAME repo

Merge pull request #7 from PaddlePaddle/develop

855d00b

update username repo

Merge branch 'develop' of https://github.com/PaddlePaddle/paddle into…

20a37a8

… log_softmax

temporary PR for log_softmax

82328a7

AshburnLee added 2 commits March 16, 2021 10:21

Logsoftmax formard case#1: axis=-1

f6ece4d

Merge branch 'develop' of https://github.com/PaddlePaddle/paddle into…

0f56b5e

… log_softmax

AshburnLee changed the title ~~Log softmax temorary PR~~ Log_softmax forward case#1: axis=-1 Mar 16, 2021

Changed copyright

4d5533b

Xreki reviewed Mar 17, 2021

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xingfeng01 reviewed Mar 17, 2021

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AshburnLee added 2 commits March 17, 2021 13:55

Made modifications according to PR reviewers

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Merge branch 'develop' of https://github.com/PaddlePaddle/paddle into…

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… log_softmax

AshburnLee commented Mar 17, 2021

View reviewed changes

AshburnLee added 2 commits March 18, 2021 03:09

Dealt with unittest precision errors

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Merge branch 'develop' of https://github.com/PaddlePaddle/paddle into…

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… log_softmax

Xreki reviewed Mar 18, 2021

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AshburnLee added 2 commits March 23, 2021 02:38

change launch cinfigure and code style

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Merge branch 'develop' of https://github.com/PaddlePaddle/paddle into…

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… log_softmax

qili93 requested changes Mar 23, 2021

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AshburnLee added 2 commits March 23, 2021 05:53

Removed header file cuda_runtime.h for HIP support

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Merge branch 'develop' of https://github.com/PaddlePaddle/paddle into…

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… log_softmax

Xreki reviewed Mar 23, 2021

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Modified code according to review comments

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Merge branch 'develop' of https://github.com/PaddlePaddle/paddle into…

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… log_softmax

Xreki reviewed Apr 7, 2021

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AshburnLee added 4 commits April 8, 2021 13:41

Reply to review comments

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Merge branch 'develop' of https://github.com/PaddlePaddle/paddle into…

480a52f

… log_softmax

cudaStream_t -> gpuStream_t

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Merge branch 'develop' of https://github.com/PaddlePaddle/paddle into…

24cd730

… log_softmax

Xreki approved these changes Apr 10, 2021

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qili93 approved these changes Apr 10, 2021

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Xreki merged commit f8bab5b into PaddlePaddle:develop Apr 10, 2021

AshburnLee mentioned this pull request Apr 27, 2021

Optimize the forward of log_softmax for the case when axis is not the last dimention. #32396

Merged

		@@ -1,4 +1,4 @@
		// Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved.

	template <typename T>
	class MPTypeTrait {
	public:
	using Type = T;
	};

	template <>
	class MPTypeTrait<platform::float16> {
	public:
	using Type = float;
	};

Log_softmax forward case#1: axis=-1 #31630

Log_softmax forward case#1: axis=-1 #31630

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AshburnLee commented Mar 15, 2021 • edited by lelelelelez Loading

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说明

paddle-bot-old bot commented Mar 15, 2021

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Xreki commented Mar 17, 2021

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AshburnLee left a comment

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AshburnLee Mar 24, 2021 • edited Loading

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AshburnLee commented Mar 15, 2021 •

edited by lelelelelez

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AshburnLee Mar 24, 2021 •

edited

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