Traceback (most recent call last):
File "/home/sange/3D/threestudio/launch.py", line 300, in <module>
main(args, extras)
File "/home/sange/3D/threestudio/launch.py", line 245, in main
trainer.fit(system, datamodule=dm, ckpt_path=cfg.resume)
File "/home/sange/miniconda3/envs/gen3d/lib/python3.9/site-packages/pytorch_lightning/trainer/trainer.py", line 543, in fit
call._call_and_handle_interrupt(
File "/home/sange/miniconda3/envs/gen3d/lib/python3.9/site-packages/pytorch_lightning/trainer/call.py", line 44, in _call_and_handle_interrupt
return trainer_fn(*args, **kwargs)
File "/home/sange/miniconda3/envs/gen3d/lib/python3.9/site-packages/pytorch_lightning/trainer/trainer.py", line 579, in _fit_impl
self._run(model, ckpt_path=ckpt_path)
File "/home/sange/miniconda3/envs/gen3d/lib/python3.9/site-packages/pytorch_lightning/trainer/trainer.py", line 986, in _run
results = self._run_stage()
File "/home/sange/miniconda3/envs/gen3d/lib/python3.9/site-packages/pytorch_lightning/trainer/trainer.py", line 1032, in _run_stage
self.fit_loop.run()
File "/home/sange/miniconda3/envs/gen3d/lib/python3.9/site-packages/pytorch_lightning/loops/fit_loop.py", line 205, in run
self.advance()
File "/home/sange/miniconda3/envs/gen3d/lib/python3.9/site-packages/pytorch_lightning/loops/fit_loop.py", line 363, in advance
self.epoch_loop.run(self._data_fetcher)
File "/home/sange/miniconda3/envs/gen3d/lib/python3.9/site-packages/pytorch_lightning/loops/training_epoch_loop.py", line 138, in run
self.advance(data_fetcher)
File "/home/sange/miniconda3/envs/gen3d/lib/python3.9/site-packages/pytorch_lightning/loops/training_epoch_loop.py", line 242, in advance
batch_output = self.automatic_optimization.run(trainer.optimizers[0], batch_idx, kwargs)
File "/home/sange/miniconda3/envs/gen3d/lib/python3.9/site-packages/pytorch_lightning/loops/optimization/automatic.py", line 191, in run
self._optimizer_step(batch_idx, closure)
File "/home/sange/miniconda3/envs/gen3d/lib/python3.9/site-packages/pytorch_lightning/loops/optimization/automatic.py", line 269, in _optimizer_step
call._call_lightning_module_hook(
File "/home/sange/miniconda3/envs/gen3d/lib/python3.9/site-packages/pytorch_lightning/trainer/call.py", line 157, in _call_lightning_module_hook
output = fn(*args, **kwargs)
File "/home/sange/miniconda3/envs/gen3d/lib/python3.9/site-packages/pytorch_lightning/core/module.py", line 1303, in optimizer_step
optimizer.step(closure=optimizer_closure)
File "/home/sange/miniconda3/envs/gen3d/lib/python3.9/site-packages/pytorch_lightning/core/optimizer.py", line 152, in step
step_output = self._strategy.optimizer_step(self._optimizer, closure, **kwargs)
File "/home/sange/miniconda3/envs/gen3d/lib/python3.9/site-packages/pytorch_lightning/strategies/strategy.py", line 239, in optimizer_step
return self.precision_plugin.optimizer_step(optimizer, model=model, closure=closure, **kwargs)
File "/home/sange/miniconda3/envs/gen3d/lib/python3.9/site-packages/pytorch_lightning/plugins/precision/precision.py", line 122, in optimizer_step
return optimizer.step(closure=closure, **kwargs)
File "/home/sange/miniconda3/envs/gen3d/lib/python3.9/site-packages/torch/optim/optimizer.py", line 385, in wrapper
out = func(*args, **kwargs)
File "/home/sange/miniconda3/envs/gen3d/lib/python3.9/site-packages/torch/optim/optimizer.py", line 76, in _use_grad
ret = func(self, *args, **kwargs)
File "/home/sange/miniconda3/envs/gen3d/lib/python3.9/site-packages/torch/optim/adam.py", line 146, in step
loss = closure()
File "/home/sange/miniconda3/envs/gen3d/lib/python3.9/site-packages/pytorch_lightning/plugins/precision/precision.py", line 108, in _wrap_closure
closure_result = closure()
File "/home/sange/miniconda3/envs/gen3d/lib/python3.9/site-packages/pytorch_lightning/loops/optimization/automatic.py", line 144, in __call__
self._result = self.closure(*args, **kwargs)
File "/home/sange/miniconda3/envs/gen3d/lib/python3.9/site-packages/torch/utils/_contextlib.py", line 115, in decorate_context
return func(*args, **kwargs)
File "/home/sange/miniconda3/envs/gen3d/lib/python3.9/site-packages/pytorch_lightning/loops/optimization/automatic.py", line 129, in closure
step_output = self._step_fn()
File "/home/sange/miniconda3/envs/gen3d/lib/python3.9/site-packages/pytorch_lightning/loops/optimization/automatic.py", line 319, in _training_step
training_step_output = call._call_strategy_hook(trainer, "training_step", *kwargs.values())
File "/home/sange/miniconda3/envs/gen3d/lib/python3.9/site-packages/pytorch_lightning/trainer/call.py", line 309, in _call_strategy_hook
output = fn(*args, **kwargs)
File "/home/sange/miniconda3/envs/gen3d/lib/python3.9/site-packages/pytorch_lightning/strategies/strategy.py", line 391, in training_step
return self.lightning_module.training_step(*args, **kwargs)
File "/home/sange/3D/threestudio/threestudio/systems/zero123.py", line 236, in training_step
out = self.training_substep(batch, batch_idx, guidance="zero123")
File "/home/sange/3D/threestudio/threestudio/systems/zero123.py", line 217, in training_substep
out["comp_rgb"].detach()[: guidance_out["eval"]["bs"]],
KeyError: 'eval'
Hi ThreeStudio team,
I tried to run stable-zero123 with freq.guidance_eval = 1 in stable_zero123.yaml file.
python launch.py --config configs/stable-zero123.yaml --train --gpu 0 data.image_path=./load/images/chair_rgba.png --gradio
but I encountered the following error.
How can I fix this?
Thanks in advance.