nerf studio installation error

error:

. VanillaPipeline.get_train_loss_dict: 12.6875 Traceback (most recent call last): File "/home/mare/anaconda3/envs/nerfstudio/bin/ns-train", line 8, in sys.exit(entrypoint()) File "/home/mare/anaconda3/envs/nerfstudio/lib/python3.8/site-packages/nerfstudio/scripts/train.py", line 262, in entrypoint main( File "/home/mare/anaconda3/envs/nerfstudio/lib/python3.8/site-packages/nerfstudio/scripts/train.py", line 247, in main launch( File "/home/mare/anaconda3/envs/nerfstudio/lib/python3.8/site-packages/nerfstudio/scripts/train.py", line 189, in launch main_func(local_rank=0, world_size=world_size, config=config) File "/home/mare/anaconda3/envs/nerfstudio/lib/python3.8/site-packages/nerfstudio/scripts/train.py", line 100, in train_loop trainer.train() File "/home/mare/anaconda3/envs/nerfstudio/lib/python3.8/site-packages/nerfstudio/engine/trainer.py", line 259, in train loss, loss_dict, metrics_dict = self.train_iteration(step) File "/home/mare/anaconda3/envs/nerfstudio/lib/python3.8/site-packages/nerfstudio/utils/profiler.py", line 127, in inner out = func(*args, **kwargs) File "/home/mare/anaconda3/envs/nerfstudio/lib/python3.8/site-packages/nerfstudio/engine/trainer.py", line 479, in train_iteration _, loss_dict, metrics_dict = self.pipeline.get_train_loss_dict(step=step) File "/home/mare/anaconda3/envs/nerfstudio/lib/python3.8/site-packages/nerfstudio/utils/profiler.py", line 127, in inner out = func(*args, **kwargs) File "/home/mare/anaconda3/envs/nerfstudio/lib/python3.8/site-packages/nerfstudio/pipelines/base_pipeline.py", line 298, in get_train_loss_dict ray_bundle, batch = self.datamanager.next_train(step) File "/home/mare/anaconda3/envs/nerfstudio/lib/python3.8/site-packages/nerfstudio/data/datamanagers/base_datamanager.py", line 542, in next_train ray_bundle = self.train_ray_generator(ray_indices) File "/home/mare/anaconda3/envs/nerfstudio/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1518, in _wrapped_call_impl return self._call_impl(*args, **kwargs) File "/home/mare/anaconda3/envs/nerfstudio/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1527, in _call_impl return forward_call(*args, **kwargs) File "/home/mare/anaconda3/envs/nerfstudio/lib/python3.8/site-packages/nerfstudio/model_components/ray_generators.py", line 56, in forward ray_bundle = self.cameras.generate_rays( File "/home/mare/anaconda3/envs/nerfstudio/lib/python3.8/site-packages/nerfstudio/cameras/cameras.py", line 463, in generate_rays raybundle = cameras._generate_rays_from_coords( File "/home/mare/anaconda3/envs/nerfstudio/lib/python3.8/site-packages/nerfstudio/cameras/cameras.py", line 646, in _generate_rays_from_coords coord_stack[coord_mask, :] = camera_utils.radial_and_tangential_undistort( File "/home/mare/anaconda3/envs/nerfstudio/lib/python3.8/site-packages/torch/_dynamo/eval_frame.py", line 328, in _fn return fn(*args, **kwargs) File "/home/mare/anaconda3/envs/nerfstudio/lib/python3.8/site-packages/torch/_dynamo/eval_frame.py", line 490, in catch_errors return callback(frame, cache_entry, hooks, frame_state) File "/home/mare/anaconda3/envs/nerfstudio/lib/python3.8/site-packages/torch/_dynamo/convert_frame.py", line 641, in _convert_frame result = inner_convert(frame, cache_size, hooks, frame_state) File "/home/mare/anaconda3/envs/nerfstudio/lib/python3.8/site-packages/torch/_dynamo/convert_frame.py", line 133, in _fn return fn(*args, **kwargs) File "/home/mare/anaconda3/envs/nerfstudio/lib/python3.8/site-packages/torch/_dynamo/convert_frame.py", line 389, in _convert_frame_assert return _compile( File "/home/mare/anaconda3/envs/nerfstudio/lib/python3.8/site-packages/torch/_dynamo/convert_frame.py", line 569, in _compile guarded_code = compile_inner(code, one_graph, hooks, transform) File "/home/mare/anaconda3/envs/nerfstudio/lib/python3.8/site-packages/torch/_dynamo/utils.py", line 189, in time_wrapper r = func(*args, **kwargs) File "/home/mare/anaconda3/envs/nerfstudio/lib/python3.8/site-packages/torch/_dynamo/convert_frame.py", line 491, in compile_inner out_code = transform_code_object(code, transform) File "/home/mare/anaconda3/envs/nerfstudio/lib/python3.8/site-packages/torch/_dynamo/bytecode_transformation.py", line 1028, in transform_code_object transformations(instructions, code_options) File "/home/mare/anaconda3/envs/nerfstudio/lib/python3.8/site-packages/torch/_dynamo/convert_frame.py", line 458, in transform tracer.run() File "/home/mare/anaconda3/envs/nerfstudio/lib/python3.8/site-packages/torch/_dynamo/symbolic_convert.py", line 2074, in run super().run() File "/home/mare/anaconda3/envs/nerfstudio/lib/python3.8/site-packages/torch/_dynamo/symbolic_convert.py", line 724, in run and self.step() File "/home/mare/anaconda3/envs/nerfstudio/lib/python3.8/site-packages/torch/_dynamo/symbolic_convert.py", line 688, in step getattr(self, inst.opname)(inst) File "/home/mare/anaconda3/envs/nerfstudio/lib/python3.8/site-packages/torch/_dynamo/symbolic_convert.py", line 2162, in RETURN_VALUE self.output.compile_subgraph( File "/home/mare/anaconda3/envs/nerfstudio/lib/python3.8/site-packages/torch/_dynamo/output_graph.py", line 833, in compile_subgraph self.compile_and_call_fx_graph(tx, list(reversed(stack_values)), root) File "/home/mare/anaconda3/envs/nerfstudio/lib/python3.8/contextlib.py", line 75, in inner return func(*args, **kwds) File "/home/mare/anaconda3/envs/nerfstudio/lib/python3.8/site-packages/torch/_dynamo/output_graph.py", line 957, in compile_and_call_fx_graph compiled_fn = self.call_user_compiler(gm) File "/home/mare/anaconda3/envs/nerfstudio/lib/python3.8/site-packages/torch/_dynamo/utils.py", line 189, in time_wrapper r = func(*args, **kwargs) File "/home/mare/anaconda3/envs/nerfstudio/lib/python3.8/site-packages/torch/_dynamo/output_graph.py", line 1024, in call_user_compiler raise BackendCompilerFailed(self.compiler_fn, e).with_traceback( File "/home/mare/anaconda3/envs/nerfstudio/lib/python3.8/site-packages/torch/_dynamo/output_graph.py", line 1009, in call_user_compiler compiled_fn = compiler_fn(gm, self.example_inputs()) File "/home/mare/anaconda3/envs/nerfstudio/lib/python3.8/site-packages/torch/_dynamo/repro/after_dynamo.py", line 117, in debug_wrapper compiled_gm = compiler_fn(gm, example_inputs) File "/home/mare/anaconda3/envs/nerfstudio/lib/python3.8/site-packages/torch/__init__.py", line 1607, in __call__ return self.compiler_fn(model_, inputs_, **self.kwargs) torch._dynamo.exc.BackendCompilerFailed: backend='eager' raised: TypeError: eager() got an unexpected keyword argument 'mode' Set TORCH_LOGS="+dynamo" and TORCHDYNAMO_VERBOSE=1 for more information You can suppress this exception and fall back to eager by setting: import torch._dynamo torch._dynamo.config.suppress_errors = True ..

Solution

* find where train.py is installed

(nerfstudio) mare@mare>NerfStudio$ find /home/mare/anaconda3/envs/nerfstudio/lib/python3.8/site-packages/ -name 'train.py'

in my case it installed in here:

/home/mare/anaconda3/envs/nerfstudio/lib/python3.8/site-packages/nerfstudio/scripts/train.py

(nerfstudio) 

* edit train.py code 

nano /home/mare/anaconda3/envs/nerfstudio/lib/python3.8/site-packages/nerfstudio/scripts/train.py

add this two line on top of code

import torch._dynamo

torch._dynamo.config.suppress_errors = True

ok it's my solution.

Thank you.

www.marearts.com