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Use upgrade script then remediated code using v1.compatibility
make pip installable as a module
make pip installable
Import CWT package from git hub and use tensorflow 2.0 calling methods
To simplify and speed up calculations, include new option to output as 3 channels of Magnitude
Make compatible with Keras Layer so it can be used in a  Keras model, e.g., 

    tf.keras.Sequential([ComplexMorletCWT(lower_freq = 20, upper_freq = 500, n_scales = 64, stride=64, 
                                            wavelet_width = 16, fs=2042, output='Magnitude'),
                             efn.EfficientNetB4(include_top=False,weights='imagenet'),
                             L.GlobalAveragePooling2D(),
                             L.Dense(32,activation='relu'),
                             L.Dense(1, activation='sigmoid')])
Eliminated loop over channels
Added channels_first option. In some cases this is more convenient.
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