coremltools/converters/keras/_layers.py [620:651]:
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        W_h.append(keras_layer.get_weights()[1].T)
        W_h.append(keras_layer.get_weights()[7].T)
        W_h.append(keras_layer.get_weights()[10].T)
        W_h.append(keras_layer.get_weights()[4].T)

        W_x.append(keras_layer.get_weights()[0].T)
        W_x.append(keras_layer.get_weights()[6].T)
        W_x.append(keras_layer.get_weights()[9].T)
        W_x.append(keras_layer.get_weights()[3].T)

        b.append(keras_layer.get_weights()[2])
        b.append(keras_layer.get_weights()[8])
        b.append(keras_layer.get_weights()[11])
        b.append(keras_layer.get_weights()[5])
    else:
        keras_W_h = keras_layer.get_weights()[1].T
        W_h.append(keras_W_h[0 * hidden_size :][:hidden_size])
        W_h.append(keras_W_h[1 * hidden_size :][:hidden_size])
        W_h.append(keras_W_h[3 * hidden_size :][:hidden_size])
        W_h.append(keras_W_h[2 * hidden_size :][:hidden_size])

        keras_W_x = keras_layer.get_weights()[0].T
        W_x.append(keras_W_x[0 * hidden_size :][:hidden_size])
        W_x.append(keras_W_x[1 * hidden_size :][:hidden_size])
        W_x.append(keras_W_x[3 * hidden_size :][:hidden_size])
        W_x.append(keras_W_x[2 * hidden_size :][:hidden_size])

        keras_b = keras_layer.get_weights()[2]
        b.append(keras_b[0 * hidden_size :][:hidden_size])
        b.append(keras_b[1 * hidden_size :][:hidden_size])
        b.append(keras_b[3 * hidden_size :][:hidden_size])
        b.append(keras_b[2 * hidden_size :][:hidden_size])
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coremltools/converters/keras/_layers.py [837:868]:
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        W_h.append(keras_layer.get_weights()[1].T)
        W_h.append(keras_layer.get_weights()[7].T)
        W_h.append(keras_layer.get_weights()[10].T)
        W_h.append(keras_layer.get_weights()[4].T)

        W_x.append(keras_layer.get_weights()[0].T)
        W_x.append(keras_layer.get_weights()[6].T)
        W_x.append(keras_layer.get_weights()[9].T)
        W_x.append(keras_layer.get_weights()[3].T)

        b.append(keras_layer.get_weights()[2])
        b.append(keras_layer.get_weights()[8])
        b.append(keras_layer.get_weights()[11])
        b.append(keras_layer.get_weights()[5])
    else:
        keras_W_h = keras_layer.get_weights()[1].T
        W_h.append(keras_W_h[0 * hidden_size :][:hidden_size])
        W_h.append(keras_W_h[1 * hidden_size :][:hidden_size])
        W_h.append(keras_W_h[3 * hidden_size :][:hidden_size])
        W_h.append(keras_W_h[2 * hidden_size :][:hidden_size])

        keras_W_x = keras_layer.get_weights()[0].T
        W_x.append(keras_W_x[0 * hidden_size :][:hidden_size])
        W_x.append(keras_W_x[1 * hidden_size :][:hidden_size])
        W_x.append(keras_W_x[3 * hidden_size :][:hidden_size])
        W_x.append(keras_W_x[2 * hidden_size :][:hidden_size])

        keras_b = keras_layer.get_weights()[2]
        b.append(keras_b[0 * hidden_size :][:hidden_size])
        b.append(keras_b[1 * hidden_size :][:hidden_size])
        b.append(keras_b[3 * hidden_size :][:hidden_size])
        b.append(keras_b[2 * hidden_size :][:hidden_size])
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