Minor bugfix in sample_pdf

run_nerf_helpers.py

@@ -225,7 +225,7 @@ def sample_pdf(bins, weights, N_samples, det=False, pytest=False):
     u = u.contiguous()
     inds = searchsorted(cdf, u, side='right')
     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)
 
     # 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
     samples = bins_g[...,0] + t * (bins_g[...,1]-bins_g[...,0])
 
-    return samples
+    return samples