From af2a7989055f261c0c06281aa4d5bbff04ef93b1 Mon Sep 17 00:00:00 2001 From: jiangzhenguang Date: Fri, 22 Jan 2021 10:50:16 +0800 Subject: [PATCH] update_dump_map --- mindspore/ops/_op_impl/tbe/selu.py | 2 +- scripts/map_dump_file_to_code/README_CN.md | 43 ++++++++++-------- .../map_dump_file_to_code/images/op_image.png | Bin 0 -> 13823 bytes .../images/replace_symbol.png | Bin 0 -> 7334 bytes .../map_dump_file_to_code/map_file_to_code.py | 4 +- 5 files changed, 26 insertions(+), 23 deletions(-) create mode 100644 scripts/map_dump_file_to_code/images/op_image.png create mode 100644 scripts/map_dump_file_to_code/images/replace_symbol.png diff --git a/mindspore/ops/_op_impl/tbe/selu.py b/mindspore/ops/_op_impl/tbe/selu.py index 64d33b3c5aa..b24fd82ed78 100644 --- a/mindspore/ops/_op_impl/tbe/selu.py +++ b/mindspore/ops/_op_impl/tbe/selu.py @@ -16,7 +16,7 @@ """Selu op""" from mindspore.ops.op_info_register import op_info_register, TBERegOp, DataType -selu_op_info = TBERegOp("Selu") \ +selu_op_info = TBERegOp("SeLU") \ .fusion_type("ELEMWISE") \ .async_flag(False) \ .binfile_name("selu.so") \ diff --git a/scripts/map_dump_file_to_code/README_CN.md b/scripts/map_dump_file_to_code/README_CN.md index bf9b830462d..3881c54d422 100644 --- a/scripts/map_dump_file_to_code/README_CN.md +++ b/scripts/map_dump_file_to_code/README_CN.md @@ -9,20 +9,21 @@ ## 辅助工具使用 1. 使用脚本的3步操作： - ① 用户在训练脚本里设置context.set_context(mode=context.GRAPH_MODE, save_graphs=True)，进行图文件的保存。 - ② 用户开启dump数据功能，参考 - ③ 获取dump数据文件的op_num，然后通过辅助脚本进行解析。如数据文件：Default--network-TrainOneStepCell--network-WithLossCell--_backbone- -     ResNet--layer2-SequentialCell--0-ResidualBlock--conv2-Conv2d--Cast-op954_input_0_shape_128_128_3_3_kNumberTypeFloat32_DefaultFormat.bin. -     可观察到Cast-op954，说明该算子的op_num为op954。 - 脚本名： **map_file_to_code.py**;   执行方式: + - 用户在训练脚本里设置context.set_context(mode=context.GRAPH_MODE, save_graphs=True)，进行图文件的保存。 + - 用户开启dump数据功能，参考 + - 获取dump数据文件的op_num，然后通过辅助脚本进行解析。如数据文件：`Default--network-TrainOneStepCell--network-WithLossCell--_backbone- + ResNet--layer2-SequentialCell--0-ResidualBlock--conv2-Conv2d--Cast-op954_input_0_shape_128_128_3_3_kNumberTypeFloat32_DefaultFormat.bin`. + 可观察到Cast-op954，说明该算子的op_num为op954, 如下图所示。 + ![image](./images/op_image.png) + 脚本名： **[map_file_to_code.py](https://gitee.com/mindspore/mindspore/blob/master/scripts/map_dump_file_to_code/map_file_to_code.py)**;   执行方式: - ```ruby - python3 map_file_to_code.py - --graph_path(-p) [the graph path, default is the current path](option) - --dump_op(-o) [Dump operator id, case insensitive, such as 'op954'.](required) - For example: - python3 map_file_to_code.py -p graph_path -o op954 - ``` + ```ruby + python3 map_file_to_code.py + --graph_path(-p) [the graph path, default is the current path](option) + --dump_op(-o) [Dump operator id, case insensitive, such as 'op954'.](required) + For example: + python3 map_file_to_code.py -p graph_path -o op954 + ``` 2. 解析效果 解析文件时通常有2种情况： @@ -55,10 +56,12 @@ ``` 3. 手动代码查找 - 这里还会存在些特殊情况，需要用户进行自行查找。通过将dump的数据文件名中的'--'替换为'/'可获取到算子的full_name。input和output文件名shape后面的数据为对应算子的输入输出shape信息。然后利用算子的full_name和输入输出信息回到源码中进行对应代码的查找。 - 举个例子说明如何手动在代码中查找指定full_name和shape的算子，例如full_name为: Default/network/network/aspp/aspp_pooling/ResizeNearestNeighbor，输入的shape为[8, 256, 1, 1]， dtype为float32。 - 可以观察到其scope为: Default/network/network/aspp/aspp_pooling，算子名为: ResizeNearestNeighbor。注意：scope中会存在Default、network自动填充，Default表示正向，network为网络名。 - 查看以下用户定义的代码，首先我们先分析scope: Default/network/network/aspp/aspp_pooling。由network/aspp可定位到算子的定义与调用处分别为26行与31行，继续由network/aspp/aspp_pooling，可以定位到定义与调用处分别为4行与8行，然后通过算子名ResizeNearestNeighbor可以定位至定义与调用处分别为16行与19行。最后若存在相同scope下存在相同的算子名时，需要通过输入的shape进行进一步判断。 + 这里还会存在些特殊情况，需要用户进行自行查找。通过将dump的数据文件名中的'--'替换为'/'可获取到算子的full_name, 如下图所示： + ![image](./images/replace_symbol.png) + input和output文件名shape后面的数据为对应算子的输入输出shape信息。然后利用算子的full_name和输入输出信息回到源码中进行对应代码的查找。 + 举个例子说明如何手动在代码中查找指定full_name和shape的算子，例如full_name为: `Default/network/network/aspp/aspp_pooling/ResizeNearestNeighbor`，输入的shape为[8, 256, 1, 1]， dtype为float32。 + 可以观察到其scope为: `Default/network/network/aspp/aspp_pooling`，算子名为: `ResizeNearestNeighbor`。注意：scope中会存在Default、network自动填充，Default表示正向，network为网络名。 + 查看以下用户定义的代码，首先我们先分析scope: `Default/network/network/aspp/aspp_pooling`。由network/aspp可定位到算子的定义与调用处分别为26行与31行，继续由`network/aspp/aspp_pooling`，可以定位到定义与调用处分别为4行与8行，然后通过算子名`ResizeNearestNeighbor`可以定位至定义与调用处分别为16行与19行。最后若存在相同scope下存在相同的算子名时，需要通过输入的shape进行进一步判断。 ```ruby 1 class ASPP(nn.Cell): @@ -68,7 +71,7 @@ 5 self.drop = nn.Dropout(0.3) 6 7 def construct(self, x): - 8 x5 = self.aspp_pooling(x) + 8 x = self.aspp_pooling(x) 9 x = self.drop(x) 10 return x 11 @@ -79,7 +82,7 @@ 16 self.resizenearestneighbor = P.ResizeNearestNeighbor((size[2], size[3]), True) 17 def construct(self, x): 18 size = self.shape(x) - 19 out = self.resizenearestneighbor(out) + 19 out = self.resizenearestneighbor(x) 20 return out 21 22 # 主结构 @@ -91,6 +94,6 @@ 28 29 def construct(self, x): 30 size = self.shape(x) - 31 out = self.aspp(out) + 31 out = self.aspp(x) 32 return out ``` diff --git a/scripts/map_dump_file_to_code/images/op_image.png b/scripts/map_dump_file_to_code/images/op_image.png new file mode 100644 index 0000000000000000000000000000000000000000..98744c65908e358fd58fef164842e1f3e5002050 GIT binary patch literal 13823 zcmaKzWmFqc+pa^ALJJgkm*P;|p-|l2-6_T0Dca&%99rC+0KuE$?!_gA;8I+3Lf`j0 z^5?7-NLDgoc4l^FKi6~Jd{tAC#dt;X3IG6L$jeD-004-R@W<|`FW|q0{?Y^CcW5qh z`tAV0Yux7_1VB~}5dc61ke8Cs^2s^M6?Lv0ojHBEcZ&ymq2Go-)C9d?8HvkYW-Mn@ zZ>_)J=`U_SG9pR0H_~%E=lSZg{Wf~n-GEi!8&7@3G^})koZ$C%U!+ygoTnRh!{|6B z`0y~6ZiI^pHT3xw2!XBm1OD?^4*&SDUp^YNIx5dfV>i_e+5_Ip(tF;^%Wv5dJhpSK zdcoMIsgeu2DR^(+zH;}bo4YAO>Jc2x!?=$UKje@ar1^2X|CYQ-Zfpr-?uKyXlWk#x zt9#hombyh!z+cAk>hMNUldtC%x`7-zzj~;srd4>{pzR?_Xd8hSSOG-_1|g z@7`^Doc*dSyR)b%uC`0ha7r-wHBZ_?$g73tS)b|c`&;hB#rXb!^t)Pl!NTsf?)-aR 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default="", required=True, + parser.add_argument('--graph_path', '-p', type=str, default="", help='Save graph files path (option)') + parser.add_argument('--dump_op', '-o', type=str, default="", required=True, help="Dump operator id, case insensitive, such as 'op3352'.") args_opt = parser.parse_args() start_find(args_opt.dump_op, args_opt.graph_path)