Remove duplicate YAML file

examples/agp-pruning/mobilenet_imagenet_baseline_training.yaml

-#
-# This YAML file contains the configuration and command-line arguments for training MobileNet v1 from scratch.
-# Top1: 71.156    Top5: 89.972
-#
-# compress_classifier.py --arch=mobilenet ../../../data.imagenet --lr=0.045 --batch=256 -j=32 --vs=0 --name=mobilenet_v1_training -p=50 --wd=1e-4 --epochs=200 --compress=../baseline_networks/mobilenet_imagenet_baseline_training.yaml
-#
-#
-# 2019-07-01 19:22:09,917 - ==> Best [Top1: 71.156   Top5: 89.972   Sparsity:0.00   Params: 4209088 on epoch: 199]
-# 2019-07-01 19:22:09,917 - Saving checkpoint to: logs/mobilenet_v1_training___2019.06.29-122534/mobilenet_v1_training_checkpoint.pth.tar
-# 2019-07-01 19:22:10,145 - --- test ---------------------
-# 2019-07-01 19:22:10,145 - 50000 samples (256 per mini-batch)
-# 2019-07-01 19:22:28,635 - Test: [   50/  195]    Loss 1.189988    Top1 70.539062    Top5 89.781250
-# 2019-07-01 19:22:35,567 - Test: [  100/  195]    Loss 1.182166    Top1 70.851562    Top5 89.792969
-# 2019-07-01 19:22:43,253 - Test: [  150/  195]    Loss 1.177892    Top1 70.927083    Top5 89.903646
-# 2019-07-01 19:22:50,377 - ==> Top1: 71.156    Top5: 89.972    Loss: 1.175
-#
-
-lr_schedulers:
-  training_lr:
-    class: ExponentialLR
-    gamma: 0.98
-
-policies:
-    - lr_scheduler:
-        instance_name: training_lr
-      starting_epoch: 0
-      ending_epoch: 200
-      frequency: 1
-
-