Computes depthwise 2D convolution, optionally fused with adding a
bias and applying an activation.
Given a 4D input array and a filter array of shape
[filterHeight, filterWidth, inChannels, channelMultiplier] containing
inChannels convolutional filters of depth 1, this op applies a
different filter to each input channel (expanding from 1 channel to
channelMultiplier channels for each), then concatenates the results
together. The output has inChannels * channelMultiplier channels.
Computes depthwise 2D convolution, optionally fused with adding a bias and applying an activation.
Given a 4D
inputarray and afilterarray of shape[filterHeight, filterWidth, inChannels, channelMultiplier]containinginChannelsconvolutional filters of depth 1, this op applies a different filter to each input channel (expanding from 1 channel tochannelMultiplierchannels for each), then concatenates the results together. The output hasinChannels * channelMultiplierchannels.See https://www.tensorflow.org/api_docs/python/tf/nn/depthwise_conv2d for more details.