Minor bugfix in sample_pdf

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Krishna Murthy 2020-04-14 14:52:54 -04:00 committed by GitHub
parent f913df5946
commit 581ea38d78
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@ -225,7 +225,7 @@ def sample_pdf(bins, weights, N_samples, det=False, pytest=False):
u = u.contiguous() u = u.contiguous()
inds = searchsorted(cdf, u, side='right') inds = searchsorted(cdf, u, side='right')
below = torch.max(torch.zeros_like(inds-1), inds-1) below = torch.max(torch.zeros_like(inds-1), inds-1)
above = torch.min(cdf.shape[-1]-1 * torch.ones_like(inds), inds) above = torch.min((cdf.shape[-1]-1) * torch.ones_like(inds), inds)
inds_g = torch.stack([below, above], -1) # (batch, N_samples, 2) inds_g = torch.stack([below, above], -1) # (batch, N_samples, 2)
# cdf_g = tf.gather(cdf, inds_g, axis=-1, batch_dims=len(inds_g.shape)-2) # cdf_g = tf.gather(cdf, inds_g, axis=-1, batch_dims=len(inds_g.shape)-2)
@ -239,4 +239,4 @@ def sample_pdf(bins, weights, N_samples, det=False, pytest=False):
t = (u-cdf_g[...,0])/denom t = (u-cdf_g[...,0])/denom
samples = bins_g[...,0] + t * (bins_g[...,1]-bins_g[...,0]) samples = bins_g[...,0] + t * (bins_g[...,1]-bins_g[...,0])
return samples return samples