Hi everyone,
I am working on the conversion of my network built in Keras 1.2.2 (Tensorflow backend). However, I got the following error:
ValueError: Keras layer '<class 'keras.layers.convolutional.SeparableConvolution2D'>' not supported.
SeparableConvolution2D layer was set up with the following parameters (Keras 1.2.2 - Tensorflow backend):
net = SeparableConv2D(int(num_outputs), kernel_size, kernel_size, subsample=(stride, stride), border_mode="same", activation=None, bias=False, name=scope)(inputs)
Is there a way to convert depthwise separable convolutions into CoreML? If not, do you plan to add support for this layer in the future?
Thank you in advance!