diff --git a/TensorFlow/built-in/cv/image_classification/InceptionV3_ID0504_for_TensorFlow/README.md b/TensorFlow/built-in/cv/image_classification/InceptionV3_ID0504_for_TensorFlow/README.md index cf73504a1efb30b3bc8bfc3b38def8d1733c45f4..f74011f5eab46e1a2ad4b188b309cff6d0c70f28 100644 --- a/TensorFlow/built-in/cv/image_classification/InceptionV3_ID0504_for_TensorFlow/README.md +++ b/TensorFlow/built-in/cv/image_classification/InceptionV3_ID0504_for_TensorFlow/README.md @@ -162,14 +162,14 @@ InceptionV4是2016年提出的Inception系列网络的第四个版本,随着Re 3. 8卡训练 - 3.1 配置run_8p.sh脚本中`data_dir`(脚本路径InceptionV3_for_TensorFlow/script/run_8p.sh),请用户根据实际路径配置,数据集参数如下所示: + 3.1 配置train_performance_8p.sh脚本中`data_dir`(脚本路径InceptionV3_for_TensorFlow/test下),请用户根据实际路径配置,数据集参数如下所示: --data_dir=/opt/npu/imagenet_data 3.2 8p指令如下: ``` - bash run_8p.sh + train_performance_8p.sh --bind_core=1 ``` - 验证。 diff --git a/TensorFlow/built-in/cv/image_classification/InceptionV4_ID0002_for_TensorFlow/README.md b/TensorFlow/built-in/cv/image_classification/InceptionV4_ID0002_for_TensorFlow/README.md index 1ee0e70a0ee6dfec54236674baf085fd6a72be97..8c196f945f614ae4111754f5804439014a94c5e3 100644 --- a/TensorFlow/built-in/cv/image_classification/InceptionV4_ID0002_for_TensorFlow/README.md +++ b/TensorFlow/built-in/cv/image_classification/InceptionV4_ID0002_for_TensorFlow/README.md @@ -151,24 +151,24 @@ InceptionV4是2016年提出的Inception系列网络的第四个版本,随着Re 2. 单卡训练 - 2.1 配置train_1p.sh脚本中`data_dir`(脚本路径InceptionV4_for_TensorFlow/script/train_1p.sh),请用户根据实际路径配置,数据集参数如下所示: + 2.1 配置train_performance_1p.sh脚本中`data_dir`(脚本路径InceptionV4_for_TensorFlow/test下),请用户根据实际路径配置,数据集参数如下所示: --data_dir=/path/to/data 2.2 单p指令如下: - bash run_1p.sh + bash train_performance_1p.sh 3. 8卡训练 - 3.1 配置train_8p.sh脚本中`data_dir`(脚本路径InceptionV4_for_TensorFlow/script/train_8p.sh),请用户根据实际路径配置,数据集参数如下所示: + 3.1 配置train_performance_8p.sh脚本中`data_dir`(脚本路径InceptionV4_for_TensorFlow/test下),请用户根据实际路径配置,数据集参数如下所示: --data_dir=/path/to/data 3.2 8p指令如下: - bash run_8p.sh + train_performance_8p.sh --bind_core=1 - 验证。