fc84b744240b6d8e90ba725ae0819af585badafc,layer/deconvolution.py,DeconvLayer,layer_op,#DeconvLayer#Any#,68

Before Change

        input_shape = input_tensor.get_shape().as_list()
        n_input_chns = input_shape[-1]
        spatial_rank = len(input_shape) -2
        assert(spatial_rank > 0)

        // initialize conv kernels/strides and then apply
        w_full_size = np.vstack((
            [self.kernel_size] * spatial_rank,

After Change

    def layer_op(self, input_tensor):
        input_shape = input_tensor.get_shape().as_list()
        n_input_chns = input_shape[-1]
        spatial_rank = layer_util.infer_spatial_rank(input_tensor)

        // initialize conv kernels/strides and then apply
        w_full_size = np.vstack((
            [self.kernel_size] * spatial_rank,

Instances