863a9dcee691e850e79d97a16abb977e24324fa1,niftynet/layer/deconvolution.py,DeconvLayer,layer_op,#DeconvLayer#Any#,75

Before Change

        w_full_size = np.vstack((
            [self.kernel_size] * spatial_rank,
            self.n_output_chns, n_input_chns)).flatten()
        full_stride = np.vstack((
            1, [self.stride] * spatial_rank, 1)).flatten()
        deconv_kernel = tf.get_variable(
            "w", shape=w_full_size.tolist(),
            initializer=self.initializers["w"],
            regularizer=self.regularizers["w"])

After Change

        kernel_size_all_dim = layer_util.expand_spatial_params(
            self.kernel_size, spatial_rank)
        w_full_size = kernel_size_all_dim + [self.n_output_chns, n_input_chns]
        stride_all_dim = layer_util.expand_spatial_params(
            self.stride, spatial_rank)
        full_stride = [1] + stride_all_dim + [1]

        deconv_kernel = tf.get_variable(
            "w", shape=w_full_size,
            initializer=self.initializers["w"],

Instances