def test_maxpooling_1d():
for border_mode in ['valid', 'same']:
for stride in [1, 2]:
layer_test(convolutional.MaxPooling1D,
kwargs={'stride': stride,
'border_mode': border_mode},
input_shape=(3, 5, 4))
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