INNER CODE UNIT · Python

log_pdf_mid

nv-tlabs/ATISS · scene_synthesis/losses/__init__.py:89

    log_pdf_mid = mid_in - log_scales - 2. * F.softplus(mid_in)

    # tf equivalent
    """
    log_probs = tf.where(x < -0.999, log_cdf_plus,
                         tf.where(x > 0.999, log_one_minus_cdf_min,
                                  tf.where(cdf_delta > 1e-5,
                                           tf.log(tf.maximum(cdf_delta, 1e-12)),
                                           log_pdf_mid - np.log(127.5))))
    """
    # TODO: cdf_delta <= 1e-5 actually can happen. How can we choose the value
    # for num_classes=65536 case? 1e-7? not sure..
    inner_inner_cond = (cdf_delta > 1e-5).float()

    inner_inner_out = inner_inner_cond * \
        torch.log(torch.clamp(cdf_delta, min=1e-12)) + \
        (1. - inner_inner_cond) * (log_pdf_mid - np.log((num_classes - 1) / 2))
    inner_cond = (target > 0.999).float()

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