37e2656912c22d8aefe94a1bab2eefa7c4f54ccc,niftynet/layer/deconvolution.py,,infer_output_dims,#Any#Any#Any#Any#,33

Before Change

    if padding == "VALID":
        output_dims = [
            dim * strides[i] + max(kernel_sizes[i] - strides[i], 0)
            for (i, dim) in enumerate(input_dims)]
    else:
        output_dims = [dim * strides[i] for (i, dim) in enumerate(input_dims)]
    return output_dims

After Change

    
    assert len(input_dims) == len(strides)
    assert len(input_dims) == len(kernel_sizes)
    output_dims = []
    for (i, dim) in enumerate(input_dims):
        if dim is None:
            output_dims.append(None)
            continue
        if padding == "VALID":
            output_dims.append(
                dim * strides[i] + max(kernel_sizes[i] - strides[i], 0))
        else:
            output_dims.append(dim * strides[i])
    return output_dims

Instances