The meaning and usage of sample_log

Hey, I saw the stored "sample_log" pictures in the Image_logs. But Actually the generated images in "sample_log" is different from the reconstructed ones. So could I ask what is that usage?

if sample:
# get denoise row
samples, z_denoise_row = self.sample_log(cond={"c_concat": [c_cat], "c_crossattn": [c]},
batch_size=N, ddim=use_ddim,
ddim_steps=ddim_steps, eta=ddim_eta)
x_samples = self.decode_first_stage(samples)
log["samples"] = x_samples
if plot_denoise_rows:
denoise_grid = self._get_denoise_row_from_list(z_denoise_row)
log["denoise_row"] = denoise_grid

Start at the sample_log call shown in the issue and inspect how its samples, z_denoise_row, and decoded x_samples are used for Image_logs. Compare the generated and reconstructed images to determine the purpose of each output. Done means documenting the meaning and usage of sample_log clearly, including why those images differ.

Written by the indexing model from the issue text.