Add missing QAT training file

TensorFlow/Classification/ConvNets/resnet50v1.5/training/GPU1_RN50_QAT.sh

@@ -0,0 +1,23 @@
+#!/bin/bash
+
+# Copyright (c) 2020 NVIDIA CORPORATION. All rights reserved.
+# 
+# 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.
+
+# This script does Quantization aware training of Resnet-50 by finetuning on the pre-trained model using 1 GPU and a batch size of 32.
+# Usage ./GPU1_RN50_QAT.sh <path to the pre-trained model> <path to dataset> <path to results directory>
+
+python main.py --mode=train_and_evaluate --batch_size=32 --lr_warmup_epochs=1 --quantize \
+    --symmetric --use_qdq --label_smoothing 0.1 --lr_init=0.00005 --momentum=0.875 \
+    --weight_decay=3.0517578125e-05 --finetune_checkpoint=$1 --data_dir=$2 \
+    --results_dir=$3 --num_iter 10 --data_format NHWC