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hub / github.com/OpenDriveLab/ReSim / sample

Method sample

sat/diffusion_video.py:261–301  ·  view source on GitHub ↗
(
        self,
        cond: Dict,
        uc: Union[Dict, None] = None,
        batch_size: int = 16,
        shape: Union[None, Tuple, List] = None,
        prefix=None,   # * enabled for predictive mode: sampling_kwargs['prefix'] = z[:, self.cond_inds]
        concat_images=None,
        **kwargs,
    )

Source from the content-addressed store, hash-verified

259
260 @torch.no_grad()
261 def sample(
262 self,
263 cond: Dict,
264 uc: Union[Dict, None] = None,
265 batch_size: int = 16,
266 shape: Union[None, Tuple, List] = None,
267 prefix=None, # * enabled for predictive mode: sampling_kwargs['prefix'] = z[:, self.cond_inds]
268 concat_images=None,
269 **kwargs,
270 ):
271 randn = torch.randn(batch_size, *shape).to(torch.float32).to(self.device)
272 if hasattr(self, "seeded_noise"):
273 randn = self.seeded_noise(randn)
274
275 if prefix is not None:
276 randn = torch.cat([prefix, randn[:, prefix.shape[1] :]], dim=1)
277
278 # broadcast noise
279 mp_size = mpu.get_model_parallel_world_size()
280 if mp_size > 1:
281 global_rank = torch.distributed.get_rank() // mp_size
282 src = global_rank * mp_size
283 torch.distributed.broadcast(randn, src=src, group=mpu.get_model_parallel_group())
284
285 # * Why is scale None?
286 # * scale will be determined within the guider
287 scale = None
288 scale_emb = None
289
290 denoiser = lambda input, sigma, c, **addtional_model_inputs: self.denoiser(
291 self.model, input, sigma, c, concat_images=concat_images, **addtional_model_inputs
292 )
293
294
295 fixed_frames = prefix.shape[1] if prefix is not None else None
296
297 samples = self.sampler(denoiser, randn, cond, uc=uc, scale=scale, scale_emb=scale_emb,
298 fixed_frames=fixed_frames,
299 **kwargs) # go to VPSDEDPMPP2MSampler
300 samples = samples.to(self.dtype)
301 return samples
302
303 @torch.no_grad()
304 def log_conditionings(self, batch: Dict, n: int) -> Dict:

Callers 3

log_videoMethod · 0.95
load_data_jsonMethod · 0.45
sampling_mainFunction · 0.45

Calls 1

toMethod · 0.80

Tested by

no test coverage detected