Merge pull request awslabs#4 from kevinthesun/AddTFResnet152

Add tensorflow resnet152 imagenet

task_config_template.cfg

@@ -60,3 +60,24 @@ metrics = ['Images per sec', 'Top 1 accuracy']
 compute_method = ['average', 'last']
 command_to_execute = python tensorflow_benchmark/tf_cnn_benchmarks/tf_cnn_benchmarks.py --data_name=cifar10 --num_gpus=8 --batch_size=32 --model=resnet50 --variable_update=parameter_server --print_training_accuracy=True
 num_gpus = 8
+
+[tensorflow_resnet152_p3_2xlg]
+patterns = ['images/sec: (\d+\.\d+)', 'top_1_accuracy: (\d+\.\d+)']
+metrics = ['Images per sec', 'Top 1 accuracy']
+compute_method = ['average', 'last']
+command_to_execute = python tensorflow_benchmark/tf_cnn_benchmarks/tf_cnn_benchmarks.py --data_name=imagenet --num_gpus=1 --batch_size=32 --model=resnet152 --variable_update=parameter_server --print_training_accuracy=True
+num_gpus = 1
+
+[tensorflow_resnet152_p3_8xlg]
+patterns = ['images/sec: (\d+\.\d+)', 'top_1_accuracy: (\d+\.\d+)']
+metrics = ['Images per sec', 'Top 1 accuracy']
+compute_method = ['average', 'last']
+command_to_execute = python tensorflow_benchmark/tf_cnn_benchmarks/tf_cnn_benchmarks.py --data_name=imagenet --num_gpus=4 --batch_size=32 --model=resnet152 --variable_update=parameter_server --print_training_accuracy=True
+num_gpus = 4
+
+[tensorflow_resnet152_p3_16xlg]
+patterns = ['images/sec: (\d+\.\d+)', 'top_1_accuracy: (\d+\.\d+)']
+metrics = ['Images per sec', 'Top 1 accuracy']
+compute_method = ['average', 'last']
+command_to_execute = python tensorflow_benchmark/tf_cnn_benchmarks/tf_cnn_benchmarks.py --data_name=imagenet --num_gpus=8 --batch_size=32 --model=resnet152 --variable_update=parameter_server --print_training_accuracy=True
+num_gpus = 8