a6afe7c8149c61372b2aae6ae331d1584eb8a19e,keras/backend/theano_backend.py,,separable_conv1d,#Any#Any#Any#Any#Any#Any#Any#,1993

Before Change

    pointwise_kernel = _preprocess_conv2d_kernel(pointwise_kernel, data_format)
    th_padding = _preprocess_padding(padding)

    input_depth = depthwise_kernel_shape[1]
    output_depth = depthwise_kernel_shape[0]
    depthwise_kernel_shape = (input_depth * output_depth, 1) + depthwise_kernel_shape[2:]
    depthwise_kernel = depthwise_kernel.dimshuffle((1, 0, 2, 3))
    depthwise_kernel = reshape(depthwise_kernel, depthwise_kernel_shape)
    depthwise_kernel = depthwise_kernel[:, :, ::-1, ::-1]

    conv_out = T.nnet.conv2d(x, depthwise_kernel,
                             border_mode=th_padding,
                             subsample=strides,

After Change

                             input_shape=image_shape,
                             filter_shape=depthwise_kernel_shape,
                             filter_dilation=dilation_rate,
                             num_groups=image_shape[1])
    conv_out = T.nnet.conv2d(conv_out, pointwise_kernel,
                             border_mode=th_padding,
                             subsample=(1, 1),

Instances