Can someone help me with this python code. I am a beginner with Python, good with java though.
def train_nn(iterations, batch_size, use_tf_mnist=False):
def perPartition(it):
if not use_tf_mnist:
train_data = RowData(it)
test_data = train_data
else:
from tensorflow.examples.tutorials.mnist import input_data
mnist = input_data.read_data_sets('MNIST_data', one_hot=True)
train_data = mnist.train
test_data = mnist.train
return create_nn(train_data, test_data, iterations, batch_size)
return perPartition
the caller only calls train_nn(ITERATIONS, BATCH_SIZE, USE_TF_MNIST)
. So where does the inner function get its it argument from?
train_nn
returns the perPartition
function as a result. It gets its argument when the caller later calls the function:
trained = train_nn(100, 50, False)
nn = trained(some_it)
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