add runner for batch normalized version
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@ -118,7 +118,7 @@ def get_args():
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"--block_type",
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"--block_type",
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type=str,
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type=str,
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default="conv_block",
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default="conv_block",
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help="Type of convolutional blocks to use in our network "
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help="Type of convolutional blocks to use in our network"
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"(This argument will be useful in running experiments to debug your network)",
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"(This argument will be useful in running experiments to debug your network)",
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)
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)
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args = parser.parse_args()
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args = parser.parse_args()
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1
run_vgg_38_bn.sh
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1
run_vgg_38_bn.sh
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@ -0,0 +1 @@
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python pytorch_mlp_framework/train_evaluate_image_classification_system.py --batch_size 100 --seed 0 --num_filters 32 --num_stages 3 --num_blocks_per_stage 5 --experiment_name VGG_38_experiment --use_gpu True --num_classes 100 --block_type 'conv_bn' --continue_from_epoch -1
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