Release Notes
1.9.0 Release Notes
主要特性和增强
FrontEnd
[STABLE] 新增面向对象+函数式融合编程范式,提供
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。
API变更
算子
[STABLE]
nn.AdaptiveAvgPool3d新增nn接口。[STABLE]
ops.adaptive_avg_pool3d新增functional接口。[STABLE]
ops.addcdiv新增functional接口。[STABLE]
ops.addcmul新增functional接口。[STABLE]
ops.approximate_equal新增GPU、CPU支持。[STABLE]
ops.atanh新增GPU支持。[STABLE]
ops.bessel_i0新增GPU支持。[STABLE]
ops.bessel_i0e新增Ascend支持。[STABLE]
ops.bessel_i1新增GPU支持。[STABLE]
ops.bessel_i1e新增Ascend、GPU支持。[STABLE]
ops.bessel_j0新增GPU支持。[STABLE]
ops.bessel_j1新增GPU支持。[STABLE]
ops.bessel_k0新增GPU支持。[STABLE]
ops.bessel_k0e新增GPU支持。[STABLE]
ops.bessel_k1新增GPU支持。[STABLE]
ops.bessel_k1e新增GPU支持。[STABLE]
ops.bessel_y0新增GPU支持。[STABLE]
ops.bessel_y1新增GPU支持。[STABLE]
ops.bias_add新增functional接口。[STABLE]
ops.bitwise_and新增GPU支持。[STABLE]
ops.bitwise_or新增GPU支持。[STABLE]
ops.bitwise_xor新增GPU支持。[STABLE]
ops.grid_sample新增Ascend支持。[STABLE]
ops.inplace_update新增CPU支持。[STABLE]
ops.isclose新增Ascend、GPU支持。[STABLE]
ops.isnan新增Ascend支持。[STABLE]
ops.lerp新增GPU支持。[STABLE]
ops.random_poisson新增functional接口。[STABLE]
ops.reverse_sequence新增functional接口。[STABLE]
ops.scatter_mul新增GPU支持。[STABLE]
ops.scatter_nd_max新增functional接口。[STABLE]
ops.scatter_nd_min新增functional接口。[STABLE]
ops.SparseToDense新增GPU支持。[STABLE]
ops.square新增functional接口。[STABLE]
ops.standard_laplace新增GPU支持。[STABLE]
ops.std新增functional接口。[STABLE]
ops.trunc新增Ascend、GPU支持。[STABLE]
ops.unsorted_segment_sum新增functional接口。[STABLE]
ops.xdivy新增functional接口。[STABLE]
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。
Bug fixes
[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。
贡献者
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!