harry900000 commited on
Commit
e7be476
·
1 Parent(s): 0bcab0b

log current step

Browse files
cosmos_transfer1/diffusion/diffusion/modules/res_sampler.py CHANGED
@@ -30,6 +30,7 @@ import torch
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  from cosmos_transfer1.diffusion.diffusion.functional.multi_step import get_multi_step_fn, is_multi_step_fn_supported
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  from cosmos_transfer1.diffusion.diffusion.functional.runge_kutta import get_runge_kutta_fn, is_runge_kutta_fn_supported
 
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  from cosmos_transfer1.utils.ddp_config import make_freezable
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  COMMON_SOLVER_OPTIONS = Literal["2ab", "2mid", "1euler"]
@@ -250,6 +251,7 @@ def differential_equation_solver(
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  def step_fn(
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  i_th: int, state: Tuple[torch.Tensor, Optional[List[torch.Tensor]]]
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  ) -> Tuple[torch.Tensor, Optional[List[torch.Tensor]]]:
 
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  input_x_B_StateShape, x0_preds = state
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  sigma_cur_0, sigma_next_0 = sigmas_L[i_th], sigmas_L[i_th + 1]
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  from cosmos_transfer1.diffusion.diffusion.functional.multi_step import get_multi_step_fn, is_multi_step_fn_supported
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  from cosmos_transfer1.diffusion.diffusion.functional.runge_kutta import get_runge_kutta_fn, is_runge_kutta_fn_supported
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+ from cosmos_transfer1.utils import log
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  from cosmos_transfer1.utils.ddp_config import make_freezable
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  COMMON_SOLVER_OPTIONS = Literal["2ab", "2mid", "1euler"]
 
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  def step_fn(
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  i_th: int, state: Tuple[torch.Tensor, Optional[List[torch.Tensor]]]
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  ) -> Tuple[torch.Tensor, Optional[List[torch.Tensor]]]:
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+ log.info(f"Step [{i_th}/{num_step}]")
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  input_x_B_StateShape, x0_preds = state
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  sigma_cur_0, sigma_next_0 = sigmas_L[i_th], sigmas_L[i_th + 1]
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