INNER CODE UNIT · Python
log_one_minus_cdf_min
nv-tlabs/ATISS · scene_synthesis/losses/__init__.py:81
log_one_minus_cdf_min = -F.softplus(min_in)
# probability for all other cases
cdf_delta = cdf_plus - cdf_min
mid_in = inv_stdv * centered_y
# log probability in the center of the bin, to be used in extreme cases
# (not actually used in our code)
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))))
"""