def test_global_max_pooling_1d(self):
np.random.seed(1988)
input_dim = 2
input_length = 10
filter_length = 3
nb_filters = 4
model = Sequential()
model.add(Conv1D(nb_filters, kernel_size = filter_length, padding='same',
input_shape=(input_length, input_dim)))
model.add(GlobalMaxPooling1D())
self._test_keras_model(model)
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