Hi all,
We need to deploy a network for our product on Qualcomm DSP.
I use tensorflow 1.3.0 to train the network.
The network's performance is highly depends on dilated convolution for larger receptive field.
I tried tf.nn.dilation2d, tf.nn.atrous_conv2d, tf.layers.conv2d with dilation_rate 2 and padding='SAME'
The frozen graph of the training result can be converted to DLC format successfully but the output tensor has wrong shape (no padding applied)
I read the document. It seems that SNPE doesn't support padding feature for dilated convolution, neither support pure padding operation.
Is there any alternative solutions can be applied to achieve the padding operation?
Thanks