Python tensorflow.keras.layers.GlobalMaxPooling2D() Examples

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Example #1
Source File: convert_test.py    From tf-encrypted with Apache License 2.0 5 votes vote down vote up 
def _keras_global_maxpool_core(shape=None, data=None):
    assert shape is None or data is None
    if shape is None:
        shape = data.shape

    model = Sequential()
    layer = GlobalMaxPooling2D(input_shape=shape[1:], data_format="channels_last")
    model.add(layer)

    if data is None:
        data = np.random.uniform(size=shape)
    out = model.predict(data)
    return model, out