| # Licensed to the Apache Software Foundation (ASF) under one |
| # or more contributor license agreements. See the NOTICE file |
| # distributed with this work for additional information |
| # regarding copyright ownership. The ASF licenses this file |
| # to you under the Apache License, Version 2.0 (the |
| # "License"); you may not use this file except in compliance |
| # with the License. You may obtain a copy of the License at |
| # |
| # http://www.apache.org/licenses/LICENSE-2.0 |
| # |
| # Unless required by applicable law or agreed to in writing, |
| # software distributed under the License is distributed on an |
| # "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY |
| # KIND, either express or implied. See the License for the |
| # specific language governing permissions and limitations |
| # under the License. |
| |
| import numpy as np |
| import mxnet as mx |
| from common import * |
| |
| def get_iters(mnist, batch_size): |
| """Get MNIST iterators.""" |
| train_iter = mx.io.NDArrayIter(mnist['train_data'], |
| mnist['train_label'], |
| batch_size, |
| shuffle=True) |
| val_iter = mx.io.NDArrayIter(mnist['test_data'], mnist['test_label'], batch_size) |
| test_iter = mx.io.NDArrayIter(mnist['test_data'], mnist['test_label'], batch_size) |
| all_test_labels = np.array(mnist['test_label']) |
| return train_iter, val_iter, test_iter, all_test_labels |
