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From GitBox <...@apache.org>
Subject [GitHub] [singa] nudles commented on a change in pull request #651: Simply example APIs
Date Sat, 04 Apr 2020 14:32:45 GMT
nudles commented on a change in pull request #651: Simply example APIs
URL: https://github.com/apache/singa/pull/651#discussion_r403476030
 
 

 ##########
 File path: examples/autograd/cifar10_multiprocess.py
 ##########
 @@ -17,28 +17,16 @@
 # under the License.
 #
 
-from singa import opt
 from resnet_cifar10 import *
 import multiprocessing
 
-
-def data_partition(dataset_x, dataset_y, rank_in_global, world_size):
-    data_per_rank = dataset_x.shape[0] // world_size
-    idx_start = rank_in_global * data_per_rank
-    idx_end = (rank_in_global + 1) * data_per_rank
-    return dataset_x[idx_start:idx_end], dataset_y[idx_start:idx_end]
-
-
 if __name__ == '__main__':
 
     # Generate a NCCL ID to be used for collective communication
     nccl_id = singa.NcclIdHolder()
 
-    sgd = opt.SGD(lr=0.005, momentum=0.9, weight_decay=1e-5)
-
-    gpu_per_node = 4
-    max_epoch = 100
-    batch_size = 32
+    # number of GPUs to be used
+    gpu_per_node = 2
 
 Review comment:
   can we use [argparse](https://github.com/apache/singa/blob/master/examples/mnist/train.py#L128)
to get the number of gpus from the command line?

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