(self, pclouds, batch_size=100)
return np.vstack(latent_codes)
Convenience wrapper of self.transform to get the latent (bottle-neck) codes for a set of input point 
        clouds.
        Args:
            pclouds (N, K, 3) numpy array of N point clouds with K points each.
Convenience wrapper of self.transform to get the latent (bottle-neck) codes for a set of input point 
        clouds.
        Args:
            pclouds (N, K, 3) numpy array of N point clouds with K points each.
Convenience wrapper of self . transform to get the latent ( bottle - neck ) codes for a set of input point clouds . Args : pclouds ( N K 3 ) numpy array of N point clouds with K points each .
def get_latent_codes(self, pclouds, batch_size=100):
        """ Convenience wrapper of self.transform to get the latent (bottle-neck) codes for a set of input point 
        clouds.
        Args:
            pclouds (N, K, 3) numpy array of N point clouds with K points each.
        """
        latent_codes = []
        idx = np.arange(len(pclouds))
        for b in iterate_in_chunks(idx, batch_size):
            latent_codes.append(self.transform(pclouds[b]))
        return np.vstack(latent_codes)
def get_latent_codes ( self , pclouds , batch_size = 100 ) : latent_codes = [ ] idx = np . arange ( len ( pclouds ) ) for b in iterate_in_chunks ( idx , batch_size ) : latent_codes . append ( self . transform ( pclouds [ b ] ) ) return np . vstack ( latent_codes )