(
v_pred_fn,
z,
sigma_schedule,
solver="flow",
determistic=False,
eta=0.7,
)
| 12 | |
| 13 | # Modified from MixGRPO |
| 14 | def run_sampling( |
| 15 | v_pred_fn, |
| 16 | z, |
| 17 | sigma_schedule, |
| 18 | solver="flow", |
| 19 | determistic=False, |
| 20 | eta=0.7, |
| 21 | ): |
| 22 | assert solver in ["flow", "dance", "ddim", "dpm1", "dpm2"] |
| 23 | dtype = z.dtype |
| 24 | all_latents = [z] |
| 25 | all_log_probs = [] |
| 26 | |
| 27 | if "dpm" in solver: |
| 28 | order = int(solver[-1]) |
| 29 | dpm_state = DPMState(order=order) |
| 30 | for i in tqdm( |
| 31 | range(len(sigma_schedule) - 1), |
| 32 | desc="Sampling Progress", |
| 33 | disable=not dist.is_initialized() or dist.get_rank() != 0, |
| 34 | ): |
| 35 | sigma = sigma_schedule[i] |
| 36 | |
| 37 | pred = v_pred_fn(z.to(dtype), sigma) |
| 38 | if solver == "flow": |
| 39 | z, pred_original, log_prob = flow_grpo_step( |
| 40 | model_output=pred.float(), |
| 41 | latents=z.float(), |
| 42 | eta=eta if not determistic else 0, |
| 43 | sigmas=sigma_schedule, |
| 44 | index=i, |
| 45 | prev_sample=None, |
| 46 | ) |
| 47 | elif solver == "dance": |
| 48 | z, pred_original, log_prob = dance_grpo_step( |
| 49 | pred.float(), z.float(), eta if not determistic else 0, sigmas=sigma_schedule, index=i, prev_sample=None |
| 50 | ) |
| 51 | elif solver == "ddim": |
| 52 | z, pred_original, log_prob = ddim_step( |
| 53 | pred.float(), z.float(), eta if not determistic else 0, sigmas=sigma_schedule, index=i, prev_sample=None |
| 54 | ) |
| 55 | elif "dpm" in solver: |
| 56 | assert determistic |
| 57 | z, pred_original, log_prob = dpm_step( |
| 58 | order, |
| 59 | model_output=pred.float(), |
| 60 | sample=z.float(), |
| 61 | step_index=i, |
| 62 | timesteps=sigma_schedule[:-1], |
| 63 | sigmas=sigma_schedule, |
| 64 | dpm_state=dpm_state, |
| 65 | ) |
| 66 | else: |
| 67 | assert False |
| 68 | z = z.to(dtype) |
| 69 | all_latents.append(z) |
| 70 | all_log_probs.append(log_prob) |
| 71 |
no test coverage detected