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#!/usr/bin/env python3
# Owner(s): ["oncall: r2p"]
# Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree.
import unittest
from torch.distributed.elastic.utils.data import CyclingIterator
class CyclingIteratorTest(unittest.TestCase):
def generator(self, epoch, stride, max_epochs):
# generate an continuously incrementing list each epoch
# e.g. [0,1,2] [3,4,5] [6,7,8] ...
return iter([stride * epoch + i for i in range(0, stride)])
def test_cycling_iterator(self):
stride = 3
max_epochs = 90
def generator_fn(epoch):
return self.generator(epoch, stride, max_epochs)
it = CyclingIterator(n=max_epochs, generator_fn=generator_fn)
for i in range(0, stride * max_epochs):
self.assertEqual(i, next(it))
with self.assertRaises(StopIteration):
next(it)
def test_cycling_iterator_start_epoch(self):
stride = 3
max_epochs = 2
start_epoch = 1
def generator_fn(epoch):
return self.generator(epoch, stride, max_epochs)
it = CyclingIterator(max_epochs, generator_fn, start_epoch)
for i in range(stride * start_epoch, stride * max_epochs):
self.assertEqual(i, next(it))
with self.assertRaises(StopIteration):
next(it)
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