rm no-quant script from mobilenetv2 quant directory

model_zoo/official/cv/mobilenetv2_quant/Readme.md

@@ -43,9 +43,7 @@ Dataset use: ImageNet
 ```python
 ├── mobilenetv2_quant        
   ├── Readme.md                      
-  ├── scripts 
-  │   ├──run_train.sh                  
-  │   ├──run_infer.sh
+  ├── scripts
   │   ├──run_train_quant.sh                  
   │   ├──run_infer_quant.sh
   ├── src                              
@@ -56,49 +54,7 @@ Dataset use: ImageNet
   │   ├──mobilenetV2.py
   ├── train.py
   ├── eval.py
-```
-
-## Training process
-
-### Train MobileNetV2 model
-
-Train a MindSpore fusion MobileNetV2 model for ImageNet, like:
-
-- Ascend: sh run_train.sh Ascend [DEVICE_NUM] [SERVER_IP(x.x.x.x)] [VISIABLE_DEVICES(0,1,2,3,4,5,6,7)] [DATASET_PATH] [CKPT_PATH]
-- GPU: sh run_trian.sh GPU [DEVICE_NUM] [VISIABLE_DEVICES(0,1,2,3,4,5,6,7)] [DATASET_PATH]
-
-You can just run this command instead.
-
-``` bash
->>> Ascend: sh run_train.sh Ascend 4 192.168.0.1 0,1,2,3 ~/imagenet/train/ ~/mobilenet.ckpt
->>> GPU: sh run_train.sh GPU 8 0,1,2,3,4,5,6,7 ~/imagenet/train/
-```
-
-Training result will be stored in the example path. Checkpoints will be stored at `. /checkpoint` by default, and training log  will be redirected to `./train/train.log` like followings. 
-
-``` 
->>> epoch: [  0/200], step:[  624/  625], loss:[5.258/5.258], time:[140412.236], lr:[0.100]
->>> epoch time: 140522.500, per step time: 224.836, avg loss: 5.258
->>> epoch: [  1/200], step:[  624/  625], loss:[3.917/3.917], time:[138221.250], lr:[0.200]
->>> epoch time: 138331.250, per step time: 221.330, avg loss: 3.917
-```
-
-### Evaluate MobileNetV2 model
-
-Evaluate a MindSpore fusion MobileNetV2 model for ImageNet, like:
-
-- sh run_infer.sh Ascend [DATASET_PATH] [CHECKPOINT_PATH]
-
-You can just run this command instead.
-
-``` bash
->>> sh run_infer.sh Ascend ~/imagenet/val/ ~/train/mobilenet-200_625.ckpt
-```
 
-Inference result will be stored in the example path, you can find result like the followings in `val.log`. 
-
-``` 
->>> result: {'acc': 0.71976314102564111} ckpt=/path/to/checkpoint/mobilenet-200_625.ckpt
 ```
 
 ### Fine-tune for quantization aware training

model_zoo/official/cv/mobilenetv2_quant/scripts/run_infer.sh

@@ -1,53 +0,0 @@
-#!/usr/bin/env bash
-# Copyright 2020 Huawei Technologies Co., Ltd
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-# http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-# ============================================================================
-if [ $# != 3 ]
-then
-    echo "Ascend: sh run_infer.sh [PLATFORM] [DATASET_PATH] [CHECKPOINT_PATH]"
-exit 1
-fi
-
-# check dataset path
-if [ ! -d $2 ] && [ ! -f $2 ]
-then
-    echo "error: DATASET_PATH=$2 is not a directory or file"
-exit 1
-fi
-
-# check checkpoint file
-if [ ! -f $3 ]
-then
-    echo "error: CHECKPOINT_PATH=$3 is not a file"
-exit 1
-fi
-
-# set environment
-BASEPATH=$(cd "`dirname $0`" || exit; pwd)
-export DEVICE_ID=0
-export RANK_ID=0
-export RANK_SIZE=1
-if [ -d "../eval" ];
-then
-    rm -rf ../eval
-fi
-mkdir ../eval
-cd ../eval || exit
-
-# launch
-python ${BASEPATH}/../eval.py \
-        --device_target=$1 \
-        --dataset_path=$2 \
-        --checkpoint_path=$3 \
-        &> infer.log &  # dataset val folder path

model_zoo/official/cv/mobilenetv2_quant/scripts/run_train.sh

@@ -1,96 +0,0 @@
-#!/usr/bin/env bash
-# Copyright 2020 Huawei Technologies Co., Ltd
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-# http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-# ============================================================================
-
-run_ascend()
-{
-    if [ $2 -lt 1 ] && [ $2 -gt 8 ]
-    then
-        echo "error: DEVICE_NUM=$2 is not in (1-9)"
-    exit 1
-    fi
-
-    if [ ! -d $5 ] && [ ! -f $5 ]
-    then
-        echo "error: DATASET_PATH=$5 is not a directory or file"
-    exit 1
-    fi
-
-    BASEPATH=$(cd "`dirname $0`" || exit; pwd)
-    export PYTHONPATH=${BASEPATH}:$PYTHONPATH
-    if [ -d "../train" ];
-    then
-        rm -rf ../train
-    fi
-    mkdir ../train
-    cd ../train || exit
-    python ${BASEPATH}/../src/launch.py \
-            --nproc_per_node=$2 \
-            --visible_devices=$4 \
-            --server_id=$3 \
-            --training_script=${BASEPATH}/../train.py \
-            --dataset_path=$5 \
-            --pre_trained=$6 \
-            --device_target=$1 &> train.log &  # dataset train folder
-}
-
-run_gpu()
-{
-    if [ $2 -lt 1 ] && [ $2 -gt 8 ]
-    then
-        echo "error: DEVICE_NUM=$2 is not in (1-8)"
-    exit 1
-    fi
-
-    if [ ! -d $4 ]
-    then
-        echo "error: DATASET_PATH=$4 is not a directory"
-    exit 1
-    fi
-
-    BASEPATH=$(cd "`dirname $0`" || exit; pwd)
-    export PYTHONPATH=${BASEPATH}:$PYTHONPATH
-    if [ -d "../train" ];
-    then
-        rm -rf ../train
-    fi
-    mkdir ../train
-    cd ../train || exit
-
-    export CUDA_VISIBLE_DEVICES="$3"
-    mpirun -n $2 --allow-run-as-root \
-    python ${BASEPATH}/../train.py \
-        --dataset_path=$4 \
-        --device_target=$1 \
-        &> ../train.log &  # dataset train folder
-}
-
-if [ $# -gt 6 ] || [ $# -lt 4 ]
-then
-    echo "Usage:\n \
-          Ascend: sh run_train.sh Ascend [DEVICE_NUM] [SERVER_IP(x.x.x.x)] [VISIABLE_DEVICES(0,1,2,3,4,5,6,7)] [DATASET_PATH] [CKPT_PATH]\n \
-          GPU: sh run_train.sh GPU [DEVICE_NUM] [VISIABLE_DEVICES(0,1,2,3,4,5,6,7)] [DATASET_PATH]\n \
-          "
-exit 1
-fi
-
-if [ $1 = "Ascend" ] ; then
-    run_ascend "$@"
-elif [ $1 = "GPU" ] ; then
-    run_gpu "$@"
-else
-    echo "Unsupported device target."
-fi;
-

model_zoo/official/cv/mobilenetv2_quant/train.py

@@ -169,7 +169,7 @@ def train_on_gpu():
     network = quant.convert_quant_network(network,
                                           bn_fold=True,
                                           per_channel=[True, False],
-                                          symmetric=[True, True],
+                                          symmetric=[True, False],
                                           freeze_bn=1000000,
                                           quant_delay=step_size * 2)