同步操作将从 MindSpore/mindspore 强制同步,此操作会覆盖自 Fork 仓库以来所做的任何修改,且无法恢复!!!
确定后同步将在后台操作,完成时将刷新页面,请耐心等待。
mindspore.dataset.config.set_seed
对随机种子设置不生效的问题。支持更多算子分布式能力。
Element Wise类算子:AddN、 BitwiseAnd、 BitwiseOr、 BitwiseXor、 CumProd、 HShrink、 HSigmoid、 IsFinite、 Mish、 MulNoNan、 Rint、 SeLU、 SoftShrink、 TruncateDiv、 TruncateMod、 Xdivy Xlogy、 InplaceAdd、 InplacSub、 InplaceUpdate、 Cdist、 L2Loss、 Lerp。
Math类算子:SquaredDifference、 Erfinv、 MaskedFill、 SplitV、 Gamma、 KLDivLoss、 LinSpace。Scatter类算子:ScatterAdd、ScatterDiv、ScatterMax、ScatterMul、ScatterNdAdd、ScatterNdSub、ScatterNdUpdate、ScatterSub、TensorScatterAdd、TensorScatterDiv、TensorScatterMax、TensorScatterMax、TensorScatterMul、TensorScatterAdd、TensorScatterUpdate。
增加transform_checkpoints
和transform_checkpoint_by_rank
接口。给定转换前后的策略文件,即可实现对分布式权重转换。详情请参考分布式弹性训练与推理。
mindspore.ops.AdaptiveMaxPool3D
新增算子原语。mindspore.ops.AdjustHue
新增算子原语。mindspore.ops.BartlettWindow
新增算子原语。mindspore.ops.BesselJ0
新增算子原语。mindspore.ops.BesselJ1
新增算子原语。mindspore.ops.BesselK0
新增算子原语。mindspore.ops.BesselK0e
新增算子原语。mindspore.ops.BesselK1
新增算子原语。mindspore.ops.BesselK1e
新增算子原语。mindspore.ops.BesselY0
新增算子原语。mindspore.ops.BesselY1
新增算子原语。mindspore.ops.Betainc
新增算子原语。mindspore.ops.Bincount
新增算子原语。mindspore.ops.BlackmanWindow
新增算子原语。mindspore.ops.Bucketize
新增算子原语。mindspore.ops.CombinedNonMaxSuppression
新增算子原语。mindspore.ops.CompareAndBitpack
新增算子原语。mindspore.ops.Complex
新增算子原语。mindspore.ops.DataFormatVecPermute
新增算子原语。mindspore.ops.Eig
新增算子原语。mindspore.ops.EuclideanNorm
新增算子原语。mindspore.ops.Expand
新增算子原语。mindspore.ops.ExtractGlimpse
新增算子原语。mindspore.ops.FillDiagonal
新增算子原语。mindspore.ops.FractionalAvgPool
新增算子原语。mindspore.ops.FractionalMaxPool
新增算子原语。mindspore.ops.Gcd
新增算子原语。mindspore.ops.HammingWindow
新增算子原语。mindspore.ops.Histogram
新增算子原语。mindspore.ops.HSVToRGB
新增算子原语。mindspore.ops.Lcm
新增算子原语。mindspore.ops.LeftShift
新增算子原语。mindspore.ops.ListDiff
新增算子原语。mindspore.ops.LogSpace
新增算子原语。mindspore.ops.Lstsq
新增算子原语。mindspore.ops.MatrixDiagPartV3
新增算子原语。mindspore.ops.MatrixDiagV3
新增算子原语。mindspore.ops.MatrixExp
新增算子原语。mindspore.ops.MatrixPower
新增算子原语。mindspore.ops.MaxPool3DWithArgmax
新增算子原语。mindspore.ops.MaxUnpool2D
新增算子原语。mindspore.ops.MultilabelMarginLoss
新增算子原语。mindspore.ops.NextAfter
新增算子原语。mindspore.ops.Orgqr
新增算子原语。mindspore.ops.ReduceStd
新增算子原语。mindspore.ops.ResizeNearestNeighborV2
新增算子原语。mindspore.ops.RGBToHSV
新增算子原语。mindspore.ops.RightShift
新增算子原语。mindspore.ops.Roll
新增算子原语。mindspore.ops.SampleDistortedBoundingBoxV2
新增算子原语。mindspore.ops.ScaleAndTranslate
新增算子原语。mindspore.ops.ScatterAddWithAxis
新增算子原语。mindspore.ops.ScatterNdDiv
新增算子原语。mindspore.ops.ScatterNdMax
新增算子原语。mindspore.ops.ScatterNdMul
新增算子原语。mindspore.ops.STFT
新增算子原语。mindspore.ops.Trace
新增算子原语。mindspore.ops.UpsampleNearest3D
新增算子原语。mindspore.ops.UpsampleTrilinear3D
新增算子原语。mindspore.parallel.transform_checkpoints
新增分布式权重转换接口。mindspore.parallel.transform_checkpoint_by_rank
新增分布式权重转换接口。mindspore.ms_function
接口名替换为mindspore.jit
,mindspore.ms_function
将在未来版本中弃用并删除。mindspore.ms_class
接口名替换为mindspore.jit_class
,mindspore.ms_class
将在未来版本中弃用并删除。mindspore.ops.ms_kernel
接口名替换为mindspore.ops.kernel
,mindspore.ops.ms_kernel
将在未来版本中弃用并删除。mindspore.dataset.map
接口参数 column_order
不再生效,使用mindspore.dataset.project
替换。mindspore.dataset.close_pool
、mindspore.dataset.to_device
、mindspore.dataset.set_dynamic_columns
接口在之前版本已废弃,当前版本正式删除。感谢以下人员做出的贡献:
AGroupofProbiotocs, anzhengqi, askmiao, baihuawei, baiyangfan, bai-yangfan, bingyaweng, BowenK, buxue, caifubi, CaoJian, caojian05, caozhou, Cathy, changzherui, chenbo116, chenfei, chengxianbin, chenhaozhe, chenjianping, chenzomi, chenzupeng, chujinjin, cj, cjh9368, Corleone, damon0626, danish, Danish, davidmc, dayschan, doitH, dong-li001, fary86, fuzhiye, Gaoxiong, GAO_HYP_XYJ, gengdongjie, Gogery, gongdaguo, gray0v0, gukecai, guoqi, gzhcv, hangq, hanhuifeng2020, Harshvardhan, He, heleiwang, hesham, hexia, Hoai, HuangBingjian, huangdongrun, huanghui, huangxinjing, huqi, huzhifeng, hwjiaorui, Jiabin Liu, jianghui58, Jiaqi, jin-xiulang, jinyaohui, jjfeing, John, jonyguo, JulyAi, jzg, kai00, kingfo, kingxian, kpy, kswang, liuyongqi, laiyongqiang, leonwanghui, liangchenghui, liangzelang, lichen_101010, lichenever, lihongkang, lilei, limingqi107, ling, linqingke, Lin Xh, liubuyu, liuwenhao4, liuxiao78, liuxiao93, liuyang_655, liuzhongkai, Lixia, lixian, liyanliu, liyong, lizhenyu, luopengting, lvchangquan, lvliang, lz, maning202007, Margaret_wangrui, mengyuanli, Ming_blue, ms_yan, ougongchang, panfengfeng, panyifeng, Payne, Peilin, peixu_ren, Pengyongrong, qianlong, qianjiahong, r1chardf1d0, riemann_penn, rmdyh, Sheng, shenwei41, simson, Simson, Su, sunsuodong, tao_yunhao, tinazhang, VectorSL, , Wan, wandongdong, wangdongxu, wangmin, wangyue01, wangzhe, wanyiming, Wei, wenchunjiang, wilfChen, WilliamLian, wsc, wudenggang, wukesong, wuweikang, wuxuejian, Xiao Tianci, Xiaoda, xiefangqi, xinyunfan, xuanyue, xuyongfei, yanghaitao, yanghaitao1, yanghaoran, YangLuo, yangruoqi713, yankai, yanzhenxiang2020, yao_yf, yepei6, yeyunpeng, Yi, yoni, yoonlee666, yuchaojie, yujianfeng, yuximiao, zengzitao, Zhang, zhanghuiyao, zhanghui_china, zhangxinfeng3, zhangyihui, zhangz0911gm, zhanke, zhanyuan, zhaodezan, zhaojichen, zhaoting, zhaozhenlong, zhengjun10, zhiqwang, zhoufeng, zhousiyi, zhouyaqiang, zhouyifengCode, Zichun, Ziyan, zjun, ZPaC, wangfengwfwf, zymaa, gerayking, shu-kun-zhang.
欢迎以任何形式对项目提供贡献!
感谢以下人员做出的贡献:
archer2049, caifubi, chenfei_mindspore, gaoshuanglong, Greatpan, guozhijian, huoxinyou, Kxiong, lanzhineng, lijunbin, liubuyu, liuchuting, luochao60, lyqlola, nomindcarry, TuDouNi, xiaotianci, xupan, yangshuo, yefeng, YingtongHu, yuchaojie, zhoufeng, ZPaC, 刘勇琪, 吕昱峰, 王禹程, 于振华.
欢迎以任何形式对项目提供贡献!
感谢以下人员做出的贡献:
AGroupofProbiotocs, anzhengqi, askmiao, baihuawei, baiyangfan, bai-yangfan, bingyaweng, BowenK, buxue, caifubi, CaoJian, caojian05, caozhou, Cathy, changzherui, chenbo116, chenfei, chengxianbin, chenhaozhe, chenjianping, chenzomi, chenzupeng, chujinjin, cj, cjh9368, Corleone, damon0626, danish, Danish, davidmc, dayschan, doitH, dong-li001, fary86, fuzhiye, Gaoxiong, GAO_HYP_XYJ, gengdongjie, Gogery, gongdaguo, gray0v0, gukecai, guoqi, gzhcv, hangq, hanhuifeng2020, Harshvardhan, He, heleiwang, hesham, hexia, Hoai, HuangBingjian, huangdongrun, huanghui, huangxinjing, huqi, huzhifeng, hwjiaorui, Jiabin Liu, jianghui58, Jiaqi, jin-xiulang, jinyaohui, jjfeing, John, jonyguo, JulyAi, jzg, kai00, kingfo, kingxian, kpy, kswang, liuyongqi, laiyongqiang, leonwanghui, liangchenghui, liangzelang, lichen_101010, lichenever, lihongkang, lilei, limingqi107, ling, linqingke, Lin Xh, liubuyu, liuwenhao4, liuxiao78, liuxiao93, liuyang_655, liuzhongkai, Lixia, lixian, liyanliu, liyong, lizhenyu, luopengting, lvchangquan, lvliang, lz, maning202007, Margaret_wangrui, mengyuanli, Ming_blue, ms_yan, ougongchang, panfengfeng, panyifeng, Payne, Peilin, peixu_ren, Pengyongrong, qianlong, qianjiahong, r1chardf1d0, riemann_penn, rmdyh, Sheng, shenwei41, simson, Simson, Su, sunsuodong, tao_yunhao, tinazhang, VectorSL, , Wan, wandongdong, wangdongxu, wangmin, wangyue01, wangzhe, wanyiming, Wei, wenchunjiang, wilfChen, WilliamLian, wsc, wudenggang, wukesong, wuweikang, wuxuejian, Xiao Tianci, Xiaoda, xiefangqi, xinyunfan, xuanyue, xuyongfei, yanghaitao, yanghaitao1, yanghaoran, YangLuo, yangruoqi713, yankai, yanzhenxiang2020, yao_yf, yepei6, yeyunpeng, Yi, yoni, yoonlee666, yuchaojie, yujianfeng, yuximiao, zengzitao, Zhang, zhanghuiyao, zhanghui_china, zhangxinfeng3, zhangyihui, zhangz0911gm, zhanke, zhanyuan, zhaodezan, zhaojichen, zhaoting, zhaozhenlong, zhengjun10, zhiqwang, zhoufeng, zhousiyi, zhouyaqiang, zhouyifengCode, Zichun, Ziyan, zjun, ZPaC, wangfengwfwf, zymaa, gerayking, shu-kun-zhang.
欢迎以任何形式对项目提供贡献!
mindspore.amp.LossScaler
、 mindspore.amp.DynamicLossScaler
、 mindspore.amp.StaticLossScaler
、 mindspore.amp.auto_mixed_precision
、 mindspore.amp.all_finite
等融合编程范式下的混合精度接口。nn.AdaptiveAvgPool3d
新增nn接口。ops.adaptive_avg_pool3d
新增functional接口。ops.addcdiv
新增functional接口。ops.addcmul
新增functional接口。ops.approximate_equal
新增GPU、CPU支持。ops.atanh
新增GPU支持。ops.bessel_i0
新增GPU支持。ops.bessel_i0e
新增Ascend支持。ops.bessel_i1
新增GPU支持。ops.bessel_i1e
新增Ascend、GPU支持。ops.bessel_j0
新增GPU支持。ops.bessel_j1
新增GPU支持。ops.bessel_k0
新增GPU支持。ops.bessel_k0e
新增GPU支持。ops.bessel_k1
新增GPU支持。ops.bessel_k1e
新增GPU支持。ops.bessel_y0
新增GPU支持。ops.bessel_y1
新增GPU支持。ops.bias_add
新增functional接口。ops.bitwise_and
新增GPU支持。ops.bitwise_or
新增GPU支持。ops.bitwise_xor
新增GPU支持。ops.grid_sample
新增Ascend支持。ops.inplace_update
新增CPU支持。ops.isclose
新增Ascend、GPU支持。ops.isnan
新增Ascend支持。ops.lerp
新增GPU支持。ops.random_poisson
新增functional接口。ops.reverse_sequence
新增functional接口。ops.scatter_mul
新增GPU支持。ops.scatter_nd_max
新增functional接口。ops.scatter_nd_min
新增functional接口。ops.SparseToDense
新增GPU支持。ops.square
新增functional接口。ops.standard_laplace
新增GPU支持。ops.std
新增functional接口。ops.trunc
新增Ascend、GPU支持。ops.unsorted_segment_sum
新增functional接口。ops.xdivy
新增functional接口。ops.xlogy
新增GPU支持。ops.poisson
接口废弃使用,对应新接口为 ops.random_poisson
。ops.SparseApplyAdagrad
接口废弃使用,可使用 ops.SparseApplyAdagradV2
接口替代。[BUGFIX] 修改混合精度O2 level的判断逻辑,在原来屏蔽 BatchNorm1d
、 BatchNorm2d
算子的基础上,添加另外两个屏蔽算子BatchNorm3d
和LayerNorm
,这4个算子依然用float32数据类型计算。
[BUGFIX] Dataset处理字符串类型数据时,若调用create_dict_iterator
或create_tuple_iterator
接口时指定了output_numpy=True
,获取到的数据会是numpy.bytes_
类型。修复此问题后接口会直接返回numpy.str_
类型数据,用户无需再对其进行字符串解码操作。同样,在使用自定义数据处理函数时,接收到的数据也将直接是numpy.str_
类型,与原始数据类型相匹配。
感谢以下人员做出的贡献:
AGroupofProbiotocs, anzhengqi, askmiao, baihuawei, baiyangfan, bai-yangfan, bingyaweng, BowenK, buxue, caifubi, CaoJian, caojian05, caozhou, Cathy, changzherui, chenbo116, chenfei, chengxianbin, chenhaozhe, chenjianping, chenzomi, chenzupeng, chujinjin, cj, cjh9368, Corleone, damon0626, danish, Danish, davidmc, dayschan, doitH, dong-li001, fary86, fuzhiye, Gaoxiong, GAO_HYP_XYJ, gengdongjie, Gogery, gongdaguo, gray0v0, gukecai, guoqi, gzhcv, hangq, hanhuifeng2020, Harshvardhan, He, hesham, hexia, Hoai, HuangBingjian, huangdongrun, huanghui, huangxinjing, huqi, huzhifeng, hwjiaorui, Jiabin Liu, jianghui58, Jiaqi, jin-xiulang, jinyaohui, jjfeing, John, jonyguo, JulyAi, jzg, kai00, kingfo, kingxian, kpy, kswang, liuyongqi, laiyongqiang, leonwanghui, liangchenghui, liangzelang, lichen_101010, lichenever, lihongkang, lilei, limingqi107, ling, linqingke, Lin Xh, liubuyu, liuwenhao4, liuxiao78, liuxiao93, liuyang_655, liuzhongkai, liyanliu, lizhenyu, lvchangquan, lvliang, lz, maning202007, Margaret_wangrui, mengyuanli, Ming_blue, ms_yan, panfengfeng, panyifeng, Payne, peixu_ren, Pengyongrong, qianjiahong, r1chardf1d0, riemann_penn, rmdyh, Sheng, shenwei41, simson, Simson, Su, sunsuodong, tao_yunhao, tinazhang, VectorSL, Wan, wandongdong, wangdongxu, wangmin, wangyue01, wangzhe, wanyiming, Wei, wenchunjiang, wilfChen, WilliamLian, wsc, wudenggang, wukesong, wuweikang, Xiao Tianci, Xiaoda, xiefangqi, xinyunfan, xuanyue, xuyongfei, yanghaitao, yanghaoran, YangLuo, yangruoqi713, yankai, yanzhenxiang2020, yao_yf, yepei6, yeyunpeng, Yi, yoni, yoonlee666, yuchaojie, yujianfeng, yuximiao, zengzitao, Zhang, zhanghuiyao, zhanghui_china, zhangxinfeng3, zhangyihui, zhangz0911gm, zhanyuan, zhaojichen, zhaoting, zhaozhenlong, zhengjun10, zhiqwang, zhoufeng, zhousiyi, zhouyaqiang, zhouyifengCode, Zichun, Ziyan, zjun, ZPaC, wangfengwfwf, zymaa, gerayking, shu-kun-zhang.
欢迎以任何形式对项目提供贡献!
mindspore.train.Model.fit
API,增加两种callback方法 mindspore.train.callback.EarlyStopping
和 mindspore.train.callback.ReduceLROnPlateau
。mindspore.dataset.vision.c_transforms.SoftDvppDecodeRandomCropResizeJpeg
和 mindspore.dataset.vision.c_transforms.SoftDvppDecodeResizeJpeg
接口。on_train_epoch_end
方法,实现在 mindspore.train.Model.fit
中使用时,打印epoch级别的metric信息。filter_prefix
:不再支持空字符串(""),匹配规则由强匹配修改为模糊匹配。mindspore.context、mindspore.parallel、mindspore.profiler、mindspore.train模块的接口可直接在mindspore模块使用。原有用法仍可以继续支持。
例如:
mindspore.context.set_context
可简化为mindspore.set_context
。mindspore.parallel.set_algo_parameters
可简化为mindspore.set_algo_parameters
。mindspore.profiler.Profiler
可简化为mindspore.Profiler
。mindspore.train.callback.Callback
可简化为mindspore.train.Callback
。API页面统一汇总至:https://www.mindspore.cn/docs/zh-CN/master/api_python/mindspore.html。
感谢以下人员做出的贡献:
AGroupofProbiotocs, anzhengqi, askmiao, baihuawei, baiyangfan, bai-yangfan, bingyaweng, BowenK, buxue, caifubi, CaoJian, caojian05, caozhou, Cathy, changzherui, chenbo116, chenfei, chengxianbin, chenhaozhe, chenjianping, chenzomi, chenzupeng, chujinjin, cj, cjh9368, Corleone, damon0626, danish, Danish, davidmc, dayschan, doitH, dong-li001, fary86, fuzhiye, Gaoxiong, GAO_HYP_XYJ, gengdongjie, Gogery, gongdaguo, gray0v0, gukecai, guoqi, gzhcv, hangq, hanhuifeng2020, Harshvardhan, He, heleiwang, hesham, hexia, Hoai, HuangBingjian, huangdongrun, huanghui, huangxinjing, huqi, huzhifeng, hwjiaorui, Jiabin Liu, jianghui58, Jiaqi, jin-xiulang, jinyaohui, jjfeing, John, jonyguo, JulyAi, jzg, kai00, kingfo, kingxian, kpy, kswang, liuyongqi, laiyongqiang, leonwanghui, liangchenghui, liangzelang, lichen_101010, lichenever, lihongkang, lilei, limingqi107, ling, linqingke, Lin Xh, liubuyu, liuwenhao4, liuxiao78, liuxiao93, liuyang_655, liuzhongkai, Lixia, lixian, liyanliu, liyong, lizhenyu, luopengting, lvchangquan, lvliang, lz, maning202007, Margaret_wangrui, mengyuanli, Ming_blue, ms_yan, ougongchang, panfengfeng, panyifeng, Payne, Peilin, peixu_ren, Pengyongrong, qianlong, qianjiahong, r1chardf1d0, riemann_penn, rmdyh, Sheng, shenwei41, simson, Simson, Su, sunsuodong, tao_yunhao, tinazhang, VectorSL, , Wan, wandongdong, wangdongxu, wangmin, wangyue01, wangzhe, wanyiming, Wei, wenchunjiang, wilfChen, WilliamLian, wsc, wudenggang, wukesong, wuweikang, wuxuejian, Xiao Tianci, Xiaoda, xiefangqi, xinyunfan, xuanyue, xuyongfei, yanghaitao, yanghaitao1, yanghaoran, YangLuo, yangruoqi713, yankai, yanzhenxiang2020, yao_yf, yepei6, yeyunpeng, Yi, yoni, yoonlee666, yuchaojie, yujianfeng, yuximiao, zengzitao, Zhang, zhanghuiyao, zhanghui_china, zhangxinfeng3, zhangyihui, zhangz0911gm, zhanke, zhanyuan, zhaodezan, zhaojichen, zhaoting, zhaozhenlong, zhengjun10, zhiqwang, zhoufeng, zhousiyi, zhouyaqiang, zhouyifengCode, Zichun, Ziyan, zjun, ZPaC, wangfengwfwf, zymaa, gerayking, shu-kun-zhang.
欢迎以任何形式对项目提供贡献!
mindspore.numpy.rand()
、mindspore.numpy.randn()
、mindspore.numpy.randint()
和mindspore.ops.arange ()
。mindspore.train.callback.History
。mindspore.ms_class
类装饰器,支持获取用户自定义类的属性和方法。__getitem__/__next__
方法返回单个NumPy对象,对应会输出单个数据列。ulimit -u 10240
增加当前用户可用的线程/进程数解决。import mindspore.dataset.engine.datasets as ds
,因其import目录过深且过度依赖Python目录结构。推荐使用 import mindspore.dataset as ds
,更多参考详见 API文档。mindspore.ms_class
接口,作为用户自定义类的类装饰器,使得MindSpore能够识别用户自定义类,并且获取这些类的属性和方法。(!30855)mindspore.SparseTensor
接口废弃使用,对应新接口为mindspore.COOTensor
。 (!28505)internal
,作为框架内部使用。感谢以下人员做出的贡献:
AGroupofProbiotocs, anzhengqi, askmiao, baihuawei, baiyangfan, bai-yangfan, bingyaweng, BowenK, buxue, caifubi, CaoJian, caojian05, caozhou, Cathy, changzherui, chenbo116, chenfei, chengxianbin, chenhaozhe, chenjianping, chenzomi, chenzupeng, chujinjin, cj, cjh9368, Corleone, damon0626, danish, Danish, davidmc, dayschan, doitH, dong-li001, fary86, fuzhiye, Gaoxiong, GAO_HYP_XYJ, gengdongjie, Gogery, gongdaguo, gray0v0, gukecai, guoqi, gzhcv, hangq, hanhuifeng2020, Harshvardhan, He, heleiwang, hesham, hexia, Hoai, HuangBingjian, huangdongrun, huanghui, huangxinjing, huqi, huzhifeng, hwjiaorui, Jiabin Liu, jianghui58, Jiaqi, jin-xiulang, jinyaohui, jjfeing, John, jonyguo, JulyAi, jzg, kai00, kingfo, kingxian, kpy, kswang, liuyongqi, laiyongqiang, leonwanghui, liangchenghui, liangzelang, lichen_101010, lichenever, lihongkang, lilei, limingqi107, ling, linqingke, Lin Xh, liubuyu, liuwenhao4, liuxiao78, liuxiao93, liuyang_655, liuzhongkai, Lixia, lixian, liyanliu, liyong, lizhenyu, luopengting, lvchangquan, lvliang, lz, maning202007, Margaret_wangrui, mengyuanli, Ming_blue, ms_yan, ougongchang, panfengfeng, panyifeng, Payne, Peilin, peixu_ren, Pengyongrong, qianlong, qianjiahong, r1chardf1d0, riemann_penn, rmdyh, Sheng, shenwei41, simson, Simson, Su, sunsuodong, tao_yunhao, tinazhang, VectorSL, , Wan, wandongdong, wangdongxu, wangmin, wangyue01, wangzhe, wanyiming, Wei, wenchunjiang, wilfChen, WilliamLian, wsc, wudenggang, wukesong, wuweikang, wuxuejian, Xiao Tianci, Xiaoda, xiefangqi, xinyunfan, xuanyue, xuyongfei, yanghaitao, yanghaitao1, yanghaoran, YangLuo, yangruoqi713, yankai, yanzhenxiang2020, yao_yf, yepei6, yeyunpeng, Yi, yoni, yoonlee666, yuchaojie, yujianfeng, yuximiao, zengzitao, Zhang, zhanghuiyao, zhanghui_china, zhangxinfeng3, zhangyihui, zhangz0911gm, zhanke, zhanyuan, zhaodezan, zhaojichen, zhaoting, zhaozhenlong, zhengjun10, zhiqwang, zhoufeng, zhousiyi, zhouyaqiang, zhouyifengCode, Zichun, Ziyan, zjun, ZPaC, wangfengwfwf, zymaa, gerayking.
欢迎以任何形式对项目提供贡献!
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