diff --git a/TensorFlow/built-in/cv/image_classification/ResNet50_ID0058_for_TensorFlow/test/train_full_1p.sh b/TensorFlow/built-in/cv/image_classification/ResNet50_ID0058_for_TensorFlow/test/train_full_1p.sh index a26c9139c1daddf8d14f6a52db8fc8d7b7d81ce4..1f777698282d0e15cc45644e21650ead041c3c70 100644 --- a/TensorFlow/built-in/cv/image_classification/ResNet50_ID0058_for_TensorFlow/test/train_full_1p.sh +++ b/TensorFlow/built-in/cv/image_classification/ResNet50_ID0058_for_TensorFlow/test/train_full_1p.sh @@ -32,7 +32,6 @@ debug=True eval=True #维测参数,precision_mode需要模型审视修改 precision_mode="must_keep_origin_dtype" -fp32="--fp32" #维持参数,不需要修改 over_dump=False @@ -210,4 +209,4 @@ echo "CaseName = ${CaseName}" >> $cur_path/output/$ASCEND_DEVICE_ID/${CaseName}. echo "ActualFPS = ${ActualFPS}" >> $cur_path/output/$ASCEND_DEVICE_ID/${CaseName}.log echo "TrainingTime = ${TrainingTime}" >> $cur_path/output/$ASCEND_DEVICE_ID/${CaseName}.log echo "ActualLoss = ${ActualLoss}" >> $cur_path/output/$ASCEND_DEVICE_ID/${CaseName}.log -echo "E2ETrainingTime= ${e2e_time}" >> $cur_path/output/$ASCEND_DEVICE_ID/${CaseName}.log \ No newline at end of file +echo "E2ETrainingTime= ${e2e_time}" >> $cur_path/output/$ASCEND_DEVICE_ID/${CaseName}.log diff --git a/TensorFlow/built-in/cv/image_classification/ResNet50_ID0058_for_TensorFlow/test/train_full_8p.sh b/TensorFlow/built-in/cv/image_classification/ResNet50_ID0058_for_TensorFlow/test/train_full_8p.sh index 6a0245f559d55a6a6c25af467e2cfaca51376da6..f96c9d428eeb7932c23c11aad2d7a3605facd0aa 100644 --- a/TensorFlow/built-in/cv/image_classification/ResNet50_ID0058_for_TensorFlow/test/train_full_8p.sh +++ b/TensorFlow/built-in/cv/image_classification/ResNet50_ID0058_for_TensorFlow/test/train_full_8p.sh @@ -30,7 +30,6 @@ eval=True batch_size=256 #维测参数,precision_mode需要模型审视修改 precision_mode="must_keep_origin_dtype" -fp32="--fp32" #维持参数,不需要修改 over_dump=False @@ -223,4 +222,4 @@ echo "ActualFPS = ${ActualFPS}" >> $cur_path/output/$ASCEND_DEVICE_ID/${CaseName echo "TrainingTime = ${TrainingTime}" >> $cur_path/output/$ASCEND_DEVICE_ID/${CaseName}.log echo "TrainAccuracy = ${train_accuracy}" >> $cur_path/output/$ASCEND_DEVICE_ID/${CaseName}.log echo "ActualLoss = ${ActualLoss}" >> $cur_path/output/$ASCEND_DEVICE_ID/${CaseName}.log -echo "E2ETrainingTime = ${e2e_time}" >> $cur_path/output/$ASCEND_DEVICE_ID/${CaseName}.log \ No newline at end of file +echo "E2ETrainingTime = ${e2e_time}" >> $cur_path/output/$ASCEND_DEVICE_ID/${CaseName}.log diff --git a/TensorFlow/built-in/cv/image_classification/ResNet50_ID0058_for_TensorFlow/test/train_performance_bs256_1p.sh b/TensorFlow/built-in/cv/image_classification/ResNet50_ID0058_for_TensorFlow/test/train_performance_bs256_1p.sh index 86dc946c0262eacf53e8c4500d10d45a3a3eb9f0..48d4a07342cb7cff45a86f0ee9a33530ba56d196 100644 --- a/TensorFlow/built-in/cv/image_classification/ResNet50_ID0058_for_TensorFlow/test/train_performance_bs256_1p.sh +++ b/TensorFlow/built-in/cv/image_classification/ResNet50_ID0058_for_TensorFlow/test/train_performance_bs256_1p.sh @@ -30,7 +30,6 @@ learning_rate= #维测参数,precision_mode需要模型审视修改 precision_mode="must_keep_origin_dtype" -fp32="--fp32" #维持参数,以下不需要修改 over_dump=False data_dump_flag=False @@ -191,4 +190,4 @@ echo "CaseName = ${CaseName}" >> $cur_path/output/$ASCEND_DEVICE_ID/${CaseName}. echo "ActualFPS = ${ActualFPS}" >> $cur_path/output/$ASCEND_DEVICE_ID/${CaseName}.log echo "TrainingTime = ${TrainingTime}" >> $cur_path/output/$ASCEND_DEVICE_ID/${CaseName}.log echo "ActualLoss = ${ActualLoss}" >> $cur_path/output/$ASCEND_DEVICE_ID/${CaseName}.log -echo "E2ETrainingTime = ${e2e_time}" >> $cur_path/output/$ASCEND_DEVICE_ID/${CaseName}.log \ No newline at end of file +echo "E2ETrainingTime = ${e2e_time}" >> $cur_path/output/$ASCEND_DEVICE_ID/${CaseName}.log diff --git a/TensorFlow/built-in/cv/image_classification/ResNet50_ID0058_for_TensorFlow/test/train_performance_bs256_8p.sh b/TensorFlow/built-in/cv/image_classification/ResNet50_ID0058_for_TensorFlow/test/train_performance_bs256_8p.sh index 97d0d367573d0f3b95e861ac7be3e7b4ff580a9d..6e66cc22b593751ecebaf1cec1dd6d064e1d029c 100644 --- a/TensorFlow/built-in/cv/image_classification/ResNet50_ID0058_for_TensorFlow/test/train_performance_bs256_8p.sh +++ b/TensorFlow/built-in/cv/image_classification/ResNet50_ID0058_for_TensorFlow/test/train_performance_bs256_8p.sh @@ -32,7 +32,6 @@ learning_rate= #维测参数,precision_mode需要模型审视修改 precision_mode="must_keep_origin_dtype" -fp32="--fp32" #维持参数,以下不需要修改 over_dump=False data_dump_flag=False @@ -225,4 +224,4 @@ echo "CaseName = ${CaseName}" >> $cur_path/output/$ASCEND_DEVICE_ID/${CaseName}. echo "ActualFPS = ${ActualFPS}" >> $cur_path/output/$ASCEND_DEVICE_ID/${CaseName}.log echo "TrainingTime = ${TrainingTime}" >> $cur_path/output/$ASCEND_DEVICE_ID/${CaseName}.log echo "ActualLoss = ${ActualLoss}" >> $cur_path/output/$ASCEND_DEVICE_ID/${CaseName}.log -echo "E2ETrainingTime = ${e2e_time}" >> $cur_path/output/$ASCEND_DEVICE_ID/${CaseName}.log \ No newline at end of file +echo "E2ETrainingTime = ${e2e_time}" >> $cur_path/output/$ASCEND_DEVICE_ID/${CaseName}.log diff --git a/TensorFlow/built-in/cv/image_classification/ResNet50_ID0058_for_TensorFlow/test/train_performance_bs256_hw192_16p.sh b/TensorFlow/built-in/cv/image_classification/ResNet50_ID0058_for_TensorFlow/test/train_performance_bs256_hw192_16p.sh index 05cc275e4bd20ddaeb10cbc6850a9b106b5d3474..d49691de82ca9e69a422f0c4349ae010917e9369 100644 --- a/TensorFlow/built-in/cv/image_classification/ResNet50_ID0058_for_TensorFlow/test/train_performance_bs256_hw192_16p.sh +++ b/TensorFlow/built-in/cv/image_classification/ResNet50_ID0058_for_TensorFlow/test/train_performance_bs256_hw192_16p.sh @@ -31,7 +31,6 @@ learning_rate= #维测参数,precision_mode需要模型审视修改 precision_mode="must_keep_origin_dtype" -fp32="--fp32" #维持参数,以下不需要修改 over_dump=False data_dump_flag=False @@ -239,4 +238,4 @@ echo "CaseName = ${CaseName}" >> $cur_path/output/$ASCEND_DEVICE_ID/${CaseName}. echo "ActualFPS = ${ActualFPS}" >> $cur_path/output/$ASCEND_DEVICE_ID/${CaseName}.log echo "TrainingTime = ${TrainingTime}" >> $cur_path/output/$ASCEND_DEVICE_ID/${CaseName}.log echo "ActualLoss = ${ActualLoss}" >> $cur_path/output/$ASCEND_DEVICE_ID/${CaseName}.log -echo "E2ETrainingTime = ${e2e_time}" >> $cur_path/output/$ASCEND_DEVICE_ID/${CaseName}.log \ No newline at end of file +echo "E2ETrainingTime = ${e2e_time}" >> $cur_path/output/$ASCEND_DEVICE_ID/${CaseName}.log diff --git a/TensorFlow/built-in/cv/image_classification/ResNet50_ID0058_for_TensorFlow/test/train_performance_bs256_hw192_1p.sh b/TensorFlow/built-in/cv/image_classification/ResNet50_ID0058_for_TensorFlow/test/train_performance_bs256_hw192_1p.sh index 391a49b325f06c75520d10d59c851e2b28d1add1..d42172536ca6f0d179d811840148049fd5c69213 100644 --- a/TensorFlow/built-in/cv/image_classification/ResNet50_ID0058_for_TensorFlow/test/train_performance_bs256_hw192_1p.sh +++ b/TensorFlow/built-in/cv/image_classification/ResNet50_ID0058_for_TensorFlow/test/train_performance_bs256_hw192_1p.sh @@ -30,7 +30,6 @@ learning_rate= #维测参数,precision_mode需要模型审视修改 precision_mode="must_keep_origin_dtype" -fp32="--fp32" #维持参数,以下不需要修改 over_dump=False data_dump_flag=False @@ -191,4 +190,4 @@ echo "CaseName = ${CaseName}" >> $cur_path/output/$ASCEND_DEVICE_ID/${CaseName}. echo "ActualFPS = ${ActualFPS}" >> $cur_path/output/$ASCEND_DEVICE_ID/${CaseName}.log echo "TrainingTime = ${TrainingTime}" >> $cur_path/output/$ASCEND_DEVICE_ID/${CaseName}.log echo "ActualLoss = ${ActualLoss}" >> $cur_path/output/$ASCEND_DEVICE_ID/${CaseName}.log -echo "E2ETrainingTime = ${e2e_time}" >> $cur_path/output/$ASCEND_DEVICE_ID/${CaseName}.log \ No newline at end of file +echo "E2ETrainingTime = ${e2e_time}" >> $cur_path/output/$ASCEND_DEVICE_ID/${CaseName}.log diff --git a/TensorFlow/built-in/cv/image_classification/ResNet50_ID0058_for_TensorFlow/test/train_performance_bs256_hw192_32p.sh b/TensorFlow/built-in/cv/image_classification/ResNet50_ID0058_for_TensorFlow/test/train_performance_bs256_hw192_32p.sh index 35514b6a3f31a51089dca4399968d5c1c8630191..db87491fb43ac744c78106ca2ad7c16e6f062a40 100644 --- a/TensorFlow/built-in/cv/image_classification/ResNet50_ID0058_for_TensorFlow/test/train_performance_bs256_hw192_32p.sh +++ b/TensorFlow/built-in/cv/image_classification/ResNet50_ID0058_for_TensorFlow/test/train_performance_bs256_hw192_32p.sh @@ -31,7 +31,6 @@ learning_rate= #维测参数,precision_mode需要模型审视修改 precision_mode="must_keep_origin_dtype" -fp32="--fp32" #维持参数,以下不需要修改 over_dump=False data_dump_flag=False @@ -244,4 +243,4 @@ echo "CaseName = ${CaseName}" >> $cur_path/output/$ASCEND_DEVICE_ID/${CaseName}. echo "ActualFPS = ${ActualFPS}" >> $cur_path/output/$ASCEND_DEVICE_ID/${CaseName}.log echo "TrainingTime = ${TrainingTime}" >> $cur_path/output/$ASCEND_DEVICE_ID/${CaseName}.log echo "ActualLoss = ${ActualLoss}" >> $cur_path/output/$ASCEND_DEVICE_ID/${CaseName}.log -echo "E2ETrainingTime = ${e2e_time}" >> $cur_path/output/$ASCEND_DEVICE_ID/${CaseName}.log \ No newline at end of file +echo "E2ETrainingTime = ${e2e_time}" >> $cur_path/output/$ASCEND_DEVICE_ID/${CaseName}.log diff --git a/TensorFlow/built-in/cv/image_classification/ResNet50_ID0058_for_TensorFlow/test/train_performance_bs256_hw192_64p.sh b/TensorFlow/built-in/cv/image_classification/ResNet50_ID0058_for_TensorFlow/test/train_performance_bs256_hw192_64p.sh index 9f786a11e8a4f8235a04b76c808da39b961d71f7..9b15c0206a2e73b578c0b644b01520255b60852e 100644 --- a/TensorFlow/built-in/cv/image_classification/ResNet50_ID0058_for_TensorFlow/test/train_performance_bs256_hw192_64p.sh +++ b/TensorFlow/built-in/cv/image_classification/ResNet50_ID0058_for_TensorFlow/test/train_performance_bs256_hw192_64p.sh @@ -31,7 +31,6 @@ learning_rate= #维测参数,precision_mode需要模型审视修改 precision_mode="must_keep_origin_dtype" -fp32="--fp32" #维持参数,以下不需要修改 over_dump=False data_dump_flag=False @@ -252,4 +251,4 @@ echo "CaseName = ${CaseName}" >> $cur_path/output/$ASCEND_DEVICE_ID/${CaseName}. echo "ActualFPS = ${ActualFPS}" >> $cur_path/output/$ASCEND_DEVICE_ID/${CaseName}.log echo "TrainingTime = ${TrainingTime}" >> $cur_path/output/$ASCEND_DEVICE_ID/${CaseName}.log echo "ActualLoss = ${ActualLoss}" >> $cur_path/output/$ASCEND_DEVICE_ID/${CaseName}.log -echo "E2ETrainingTime = ${e2e_time}" >> $cur_path/output/$ASCEND_DEVICE_ID/${CaseName}.log \ No newline at end of file +echo "E2ETrainingTime = ${e2e_time}" >> $cur_path/output/$ASCEND_DEVICE_ID/${CaseName}.log diff --git a/TensorFlow/built-in/cv/image_classification/ResNet50_ID0058_for_TensorFlow/test/train_performance_bs256_hw192_8p.sh b/TensorFlow/built-in/cv/image_classification/ResNet50_ID0058_for_TensorFlow/test/train_performance_bs256_hw192_8p.sh index 836cdaba05e432934116c76af6ffec3381617829..c59f9d7c6b5aa7b9fb0577297152ceb4c0970823 100644 --- a/TensorFlow/built-in/cv/image_classification/ResNet50_ID0058_for_TensorFlow/test/train_performance_bs256_hw192_8p.sh +++ b/TensorFlow/built-in/cv/image_classification/ResNet50_ID0058_for_TensorFlow/test/train_performance_bs256_hw192_8p.sh @@ -32,7 +32,6 @@ learning_rate= #维测参数,precision_mode需要模型审视修改 precision_mode="must_keep_origin_dtype" -fp32="--fp32" #维持参数,以下不需要修改 over_dump=False data_dump_flag=False @@ -228,4 +227,4 @@ echo "CaseName = ${CaseName}" >> $cur_path/output/$ASCEND_DEVICE_ID/${CaseName}. echo "ActualFPS = ${ActualFPS}" >> $cur_path/output/$ASCEND_DEVICE_ID/${CaseName}.log echo "TrainingTime = ${TrainingTime}" >> $cur_path/output/$ASCEND_DEVICE_ID/${CaseName}.log echo "ActualLoss = ${ActualLoss}" >> $cur_path/output/$ASCEND_DEVICE_ID/${CaseName}.log -echo "E2ETrainingTime = ${e2e_time}" >> $cur_path/output/$ASCEND_DEVICE_ID/${CaseName}.log \ No newline at end of file +echo "E2ETrainingTime = ${e2e_time}" >> $cur_path/output/$ASCEND_DEVICE_ID/${CaseName}.log diff --git a/TensorFlow/built-in/cv/image_classification/ResNet50_ID0058_for_TensorFlow/test/train_performance_bs32_1p.sh b/TensorFlow/built-in/cv/image_classification/ResNet50_ID0058_for_TensorFlow/test/train_performance_bs32_1p.sh index d634867ff922b812ee4a6623116f0050d96b1044..0416843d22ae81ff99d1465b2c273f4021fbd103 100644 --- a/TensorFlow/built-in/cv/image_classification/ResNet50_ID0058_for_TensorFlow/test/train_performance_bs32_1p.sh +++ b/TensorFlow/built-in/cv/image_classification/ResNet50_ID0058_for_TensorFlow/test/train_performance_bs32_1p.sh @@ -30,7 +30,6 @@ learning_rate= #维测参数,precision_mode需要模型审视修改 precision_mode="must_keep_origin_dtype" -fp32="--fp32" #维持参数,以下不需要修改 over_dump=False data_dump_flag=False @@ -190,4 +189,4 @@ echo "CaseName = ${CaseName}" >> $cur_path/output/$ASCEND_DEVICE_ID/${CaseName}. echo "ActualFPS = ${ActualFPS}" >> $cur_path/output/$ASCEND_DEVICE_ID/${CaseName}.log echo "TrainingTime = ${TrainingTime}" >> $cur_path/output/$ASCEND_DEVICE_ID/${CaseName}.log echo "ActualLoss = ${ActualLoss}" >> $cur_path/output/$ASCEND_DEVICE_ID/${CaseName}.log -echo "E2ETrainingTime = ${e2e_time}" >> $cur_path/output/$ASCEND_DEVICE_ID/${CaseName}.log \ No newline at end of file +echo "E2ETrainingTime = ${e2e_time}" >> $cur_path/output/$ASCEND_DEVICE_ID/${CaseName}.log diff --git a/TensorFlow/built-in/cv/image_classification/ResNet50_ID0058_for_TensorFlow/test/train_performance_bs32_8p.sh b/TensorFlow/built-in/cv/image_classification/ResNet50_ID0058_for_TensorFlow/test/train_performance_bs32_8p.sh index 8c86f46b6b6182602fe9234b9b79cf8afb8fa1a7..f25387cb6ec549e19880e88c2be9c1ac57d77443 100644 --- a/TensorFlow/built-in/cv/image_classification/ResNet50_ID0058_for_TensorFlow/test/train_performance_bs32_8p.sh +++ b/TensorFlow/built-in/cv/image_classification/ResNet50_ID0058_for_TensorFlow/test/train_performance_bs32_8p.sh @@ -32,7 +32,6 @@ learning_rate= #维测参数,precision_mode需要模型审视修改 precision_mode="must_keep_origin_dtype" -fp32="--fp32" #维持参数,以下不需要修改 over_dump=False data_dump_flag=False @@ -227,4 +226,4 @@ echo "CaseName = ${CaseName}" >> $cur_path/output/$ASCEND_DEVICE_ID/${CaseName}. echo "ActualFPS = ${ActualFPS}" >> $cur_path/output/$ASCEND_DEVICE_ID/${CaseName}.log echo "TrainingTime = ${TrainingTime}" >> $cur_path/output/$ASCEND_DEVICE_ID/${CaseName}.log echo "ActualLoss = ${ActualLoss}" >> $cur_path/output/$ASCEND_DEVICE_ID/${CaseName}.log -echo "E2ETrainingTime = ${e2e_time}" >> $cur_path/output/$ASCEND_DEVICE_ID/${CaseName}.log \ No newline at end of file +echo "E2ETrainingTime = ${e2e_time}" >> $cur_path/output/$ASCEND_DEVICE_ID/${CaseName}.log diff --git a/TensorFlow/built-in/cv/image_classification/ResNet50_ID0058_for_TensorFlow/test/train_performance_distribute.sh b/TensorFlow/built-in/cv/image_classification/ResNet50_ID0058_for_TensorFlow/test/train_performance_distribute.sh index 47b887ef391929908ce600bac0496e0953b71dbb..70a5c581210f49b1771d0496009cecdb6deb2dcb 100644 --- a/TensorFlow/built-in/cv/image_classification/ResNet50_ID0058_for_TensorFlow/test/train_performance_distribute.sh +++ b/TensorFlow/built-in/cv/image_classification/ResNet50_ID0058_for_TensorFlow/test/train_performance_distribute.sh @@ -28,7 +28,6 @@ learning_rate= #维测参数,precision_mode需要模型审视修改 precision_mode="must_keep_origin_dtype" -fp32="--fp32" #维持参数,以下不需要修改 over_dump=False data_dump_flag=False diff --git a/TensorFlow/built-in/nlp/Bertsquad_ID0495_for_TensorFlow/test/train_full_1p.sh b/TensorFlow/built-in/nlp/Bertsquad_ID0495_for_TensorFlow/test/train_full_1p.sh index 9bdde07c698faa76164a6d5b2c907d2394df36a2..d1068a3a849486464b64b286ef644fa5a4c2058d 100644 --- a/TensorFlow/built-in/nlp/Bertsquad_ID0495_for_TensorFlow/test/train_full_1p.sh +++ b/TensorFlow/built-in/nlp/Bertsquad_ID0495_for_TensorFlow/test/train_full_1p.sh @@ -34,7 +34,6 @@ autotune=False #维测参数,precision_mode需要模型审视修改 precision_mode="must_keep_origin_dtype" -fp32="--fp32" # 帮助信息,不需要修改 if [[ $1 == --help || $1 == -h ]];then @@ -213,4 +212,4 @@ echo "TrainingTime = ${TrainingTime}" >> $cur_path/output/$ASCEND_DEVICE_ID/${Ca echo "ActualLoss = ${ActualLoss}" >> $cur_path/output/$ASCEND_DEVICE_ID/${CaseName}.log echo "E2ETrainingTime = ${e2e_time}" >> $cur_path/output/$ASCEND_DEVICE_ID/${CaseName}.log echo "TrainAccuracy = ${train_accuracy}" >> $cur_path/output/$ASCEND_DEVICE_ID/${CaseName}.log -sed -i -e '/ModuleNotFoundError/d' $cur_path/output/${ASCEND_DEVICE_ID}/train_${ASCEND_DEVICE_ID}.log \ No newline at end of file +sed -i -e '/ModuleNotFoundError/d' $cur_path/output/${ASCEND_DEVICE_ID}/train_${ASCEND_DEVICE_ID}.log diff --git a/TensorFlow/built-in/nlp/Bertsquad_ID0495_for_TensorFlow/test/train_performance_1p.sh b/TensorFlow/built-in/nlp/Bertsquad_ID0495_for_TensorFlow/test/train_performance_1p.sh index 8fa84763e4230463fa02e07538e8f92665c3660e..50a0b58ea9e079466b329536c80868b55633f467 100644 --- a/TensorFlow/built-in/nlp/Bertsquad_ID0495_for_TensorFlow/test/train_performance_1p.sh +++ b/TensorFlow/built-in/nlp/Bertsquad_ID0495_for_TensorFlow/test/train_performance_1p.sh @@ -34,7 +34,6 @@ autotune=False #维测参数,precision_mode需要模型审视修改 precision_mode="must_keep_origin_dtype" -fp32="--fp32" # 帮助信息,不需要修改 if [[ $1 == --help || $1 == -h ]];then @@ -206,4 +205,4 @@ echo "ActualFPS = ${ActualFPS}" >> $cur_path/output/$ASCEND_DEVICE_ID/${CaseName echo "TrainingTime = ${TrainingTime}" >> $cur_path/output/$ASCEND_DEVICE_ID/${CaseName}.log echo "ActualLoss = ${ActualLoss}" >> $cur_path/output/$ASCEND_DEVICE_ID/${CaseName}.log echo "E2ETrainingTime = ${e2e_time}" >> $cur_path/output/$ASCEND_DEVICE_ID/${CaseName}.log -sed -i -e '/ModuleNotFoundError/d' $cur_path/output/${ASCEND_DEVICE_ID}/train_${ASCEND_DEVICE_ID}.log \ No newline at end of file +sed -i -e '/ModuleNotFoundError/d' $cur_path/output/${ASCEND_DEVICE_ID}/train_${ASCEND_DEVICE_ID}.log diff --git a/TensorFlow/built-in/nlp/Bertsquad_ID0495_for_TensorFlow/test/train_performance_8p.sh b/TensorFlow/built-in/nlp/Bertsquad_ID0495_for_TensorFlow/test/train_performance_8p.sh index b0c9ebddc8816692ec837b1773beaf801154e111..483d1e3bd795eba9848b42260758776d1d39341c 100644 --- a/TensorFlow/built-in/nlp/Bertsquad_ID0495_for_TensorFlow/test/train_performance_8p.sh +++ b/TensorFlow/built-in/nlp/Bertsquad_ID0495_for_TensorFlow/test/train_performance_8p.sh @@ -34,7 +34,6 @@ autotune=False #维测参数,precision_mode需要模型审视修改 precision_mode="must_keep_origin_dtype" -fp32="--fp32" # 帮助信息,不需要修改 if [[ $1 == --help || $1 == -h ]];then @@ -208,4 +207,4 @@ echo "ActualFPS = ${ActualFPS}" >> $cur_path/output/$ASCEND_DEVICE_ID/${CaseName echo "TrainingTime = ${TrainingTime}" >> $cur_path/output/$ASCEND_DEVICE_ID/${CaseName}.log echo "ActualLoss = ${ActualLoss}" >> $cur_path/output/$ASCEND_DEVICE_ID/${CaseName}.log echo "E2ETrainingTime = ${e2e_time}" >> $cur_path/output/$ASCEND_DEVICE_ID/${CaseName}.log -sed -i -e '/ModuleNotFoundError/d' $cur_path/output/${ASCEND_DEVICE_ID}/train_${ASCEND_DEVICE_ID}.log \ No newline at end of file +sed -i -e '/ModuleNotFoundError/d' $cur_path/output/${ASCEND_DEVICE_ID}/train_${ASCEND_DEVICE_ID}.log