Python master_node Examples

Example #1

File: refactored-3-site-test.py Project: lhd231/Distributive_Neural_Net

def visitbatches(nn, batches, labels, it=1000):
    for c in range(it):
      nnDif.master_node(nn,batches,labels)

Example #2

File: n-sites-test.py Project: lhd231/Distributive_Neural_Net

def visitbatches(nn, batches, labelBatches, errlist, it=1000):
    for c in range(it):
	    #print "len of things " + str(len(nn)) + " " + str(len(batches[0]))

            nnDif.master_node(nn, batches, labelBatches)

Example #3

def visitbatches(nn, batches, labelBatches, errlist, it=1000):
    for c in range(it):
        #print "len of things " + str(len(nn)) + " " + str(len(batches[0]))

        nnDif.master_node(nn, batches, labelBatches)

Example #4

File: mnist-refactored-3-site-test.py Project: lhd231/Distributive_Neural_Net

def visitbatches(nn, batches, labels, it=1000):
    for c in range(it):
        nnDif.master_node(nn, batches, labels)

Example #5

File: n-test.py Project: lhd231/Distributive_Neural_Net

def visitbatches(nn, batches, errlist, it=1000):
    for c in range(it):
        for i in range(len(batches)):
            batch = batches[i]
            cc = np.mod(c,len(batch))
            nnDif.master_node(nn, batch[cc][0], batch[cc][1])

Example #6

def visitbatches(nn, batches, errlist, it=1000):
    for c in range(it):
        for i in range(len(batches)):
            batch = batches[i]
            cc = np.mod(c, len(batch))
            nnDif.master_node(nn, batch[cc][0], batch[cc][1])