How to use iterators using chainer

This recipe helps you use iterators using chainer

Recipe Objective - How to use iterators using chainer?

Iterator is used to create mini-batches by iterating over the datasets. Chainer provides some iterator that implements these strategies to iterate over datasets.

Iterators:-

1.chainer.iterators.SerialIterator - Serial Iterator extracts mini-batches in the main thread.

2.chainer.iterators.MultiprocessIterator - Multiprocess Iterator is the parallelized version of Serial Iterator.

3.chainer.iterators.MultithreadIterator - Multithread Iterator is the parallelized version of Serial Iterator.

Base Modules of Iterators:-

1.chainer.iterators.OrderSampler - Base module of all order samplers.

2.chainer.iterators.ShuffleOrderSampler - generates random orders.

Example:-

import chainer

data = [(1, 2), (3, 4)]
itr1 = chainer.iterators.MultiprocessIterator(data, 1, shuffle=True)
itr2 = chainer.iterators.MultiprocessIterator(data, 1, order_sampler=chainer.iterators.ShuffleOrderSampler())

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