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Unable to run the training bash script to reproduce table
Hi,
I am trying to run the set of experiments on different algorithms and different datasets by using the small bash script you provide in the README file, but I get the following error. This error is written into the error.txt file in the experiment folder. I create a file run.sh and place it inside design-baselines/design-baselines/ and then run it from that location. Is this correct?
Failure # 1 (occurred at 2022-08-11_01-17-15)
Traceback (most recent call last):
File "/homes/kaushik/miniconda3/envs/design-baselines/lib/python3.7/site-packages/ray/tune/trial_runner.py", line 702, in _process_tr$
results = self.trial_executor.fetch_result(trial)
File "/homes/kaushik/miniconda3/envs/design-baselines/lib/python3.7/site-packages/ray/tune/ray_trial_executor.py", line 686, in fetch$
result = ray.get(trial_future[0], timeout=DEFAULT_GET_TIMEOUT)
File "/homes/kaushik/miniconda3/envs/design-baselines/lib/python3.7/site-packages/ray/_private/client_mode_hook.py", line 47, in wrap$
return func(*args, **kwargs)
File "/homes/kaushik/miniconda3/envs/design-baselines/lib/python3.7/site-packages/ray/worker.py", line 1481, in get
raise value.as_instanceof_cause()
ray.exceptions.RayTaskError(TuneError): ^[[36mray::ImplicitFunc.train_buffered()^[[39m (pid=2049, ip=130.107.5.38)
File "python/ray/_raylet.pyx", line 505, in ray._raylet.execute_task
File "python/ray/_raylet.pyx", line 449, in ray._raylet.execute_task.function_executor
File "/homes/kaushik/miniconda3/envs/design-baselines/lib/python3.7/site-packages/ray/_private/function_manager.py", line 556, in act$
return method(__ray_actor, *args, **kwargs)
File "/homes/kaushik/miniconda3/envs/design-baselines/lib/python3.7/site-packages/ray/tune/trainable.py", line 173, in train_buffered
result = self.train()
File "/homes/kaushik/miniconda3/envs/design-baselines/lib/python3.7/site-packages/ray/tune/trainable.py", line 232, in train
result = self.step()
File "/homes/kaushik/miniconda3/envs/design-baselines/lib/python3.7/site-packages/ray/tune/function_runner.py", line 366, in step
self._report_thread_runner_error(block=True)
File "/homes/kaushik/miniconda3/envs/design-baselines/lib/python3.7/site-packages/ray/tune/function_runner.py", line 513, in _report_$
("Trial raised an exception. Traceback:\n{}".format(err_tb_str)
ray.tune.error.TuneError: Trial raised an exception. Traceback:
^[[36mray::ImplicitFunc.train_buffered()^[[39m (pid=2049, ip=130.107.5.38)
File "/homes/kaushik/miniconda3/envs/design-baselines/lib/python3.7/site-packages/ray/tune/function_runner.py", line 248, in run
self._entrypoint()
File "/homes/kaushik/miniconda3/envs/design-baselines/lib/python3.7/site-packages/ray/tune/function_runner.py", line 316, in entrypoi$
self._status_reporter.get_checkpoint())
File "/homes/kaushik/miniconda3/envs/design-baselines/lib/python3.7/site-packages/ray/tune/function_runner.py", line 580, in _trainab$
output = fn()
File "/homes/kaushik/Projects/xxxxx/design-baselines/design_baselines/bo_qei/__init__.py", line 279, in bo_qei
score = task.predict(solution)
File "/homes/kaushik/miniconda3/envs/design-baselines/lib/python3.7/site-packages/tensorflow/python/eager/def_function.py", line 780,$
result = self._call(*args, **kwds)
File "/homes/kaushik/miniconda3/envs/design-baselines/lib/python3.7/site-packages/tensorflow/python/eager/def_function.py", line 846,$
return self._concrete_stateful_fn._filtered_call(canon_args, canon_kwds) # pylint: disable=protected-access
File "/homes/kaushik/miniconda3/envs/design-baselines/lib/python3.7/site-packages/tensorflow/python/eager/function.py", line 1848, in$
cancellation_manager=cancellation_manager)
File "/homes/kaushik/miniconda3/envs/design-baselines/lib/python3.7/site-packages/tensorflow/python/eager/function.py", line 1924, in$
ctx, args, cancellation_manager=cancellation_manager))
File "/homes/kaushik/miniconda3/envs/design-baselines/lib/python3.7/site-packages/tensorflow/python/eager/function.py", line 550, in $
ctx=ctx)
File "/homes/kaushik/miniconda3/envs/design-baselines/lib/python3.7/site-packages/tensorflow/python/eager/execute.py", line 60, in qu$
inputs, attrs, num_outputs)
tensorflow.python.framework.errors_impl.UnknownError: 2 root error(s) found.
(0) Unknown: NameError: name 'training' is not defined
[[36mray::ImplicitFunc.train_buffered()^[[39m (pid=2049, ip=130.107.5.38)
File "/homes/kaushik/miniconda3/envs/design-baselines/lib/python3.7/site-packages/tensorflow/python/ops/script_ops.py", line 244, in $
ret = func(*args)
File "/homes/kaushik/miniconda3/envs/design-baselines/lib/python3.7/site-packages/tensorflow/python/autograph/impl/api.py", line 302,$
return func(*args, **kwargs)
File "/homes/kaushik/Projects/xxxxx/design-baselines/design_baselines/data.py", line 992, in predict_numpy
return self.wrapped_task.predict(x_batch)
File "/homes/kaushik/miniconda3/envs/design-baselines/lib/python3.7/site-packages/design_bench/task.py", line 832, in predict
return self.oracle.predict(x_batch, **kwargs)
File "/homes/kaushik/miniconda3/envs/design-baselines/lib/python3.7/site-packages/design_bench/oracles/oracle_builder.py", line 505, $
range(self.internal_measurements)], axis=0)
File "/homes/kaushik/miniconda3/envs/design-baselines/lib/python3.7/site-packages/design_bench/oracles/oracle_builder.py", line 504, $
x_sliced, **kwargs) for _ in
File "/homes/kaushik/miniconda3/envs/design-baselines/lib/python3.7/site-packages/design_bench/oracles/tensorflow/transformer_oracle.$
elif isinstance(training, DiscreteDataset):
NameError: name 'training' is not defined
[[node PyFunc (defined at /Projects/xxxxx/design-baselines/design_baselines/data.py:1016) ]]
(1) Unknown: NameError: name 'training' is not defined
^[[36mray::ImplicitFunc.train_buffered()^[[39m (pid=2049, ip=130.107.5.38)
File "/homes/kaushik/miniconda3/envs/design-baselines/lib/python3.7/site-packages/tensorflow/python/ops/script_ops.py", line 244, in $
ret = func(*args)
File "/homes/kaushik/miniconda3/envs/design-baselines/lib/python3.7/site-packages/tensorflow/python/autograph/impl/api.py", line 302,$
return func(*args, **kwargs)
File "/homes/kaushik/Projects/xxxxx/design-baselines/design_baselines/data.py", line 992, in predict_numpy
return self.wrapped_task.predict(x_batch)
File "/homes/kaushik/miniconda3/envs/design-baselines/lib/python3.7/site-packages/design_bench/task.py", line 832, in predict
return self.oracle.predict(x_batch, **kwargs)
File "/homes/kaushik/miniconda3/envs/design-baselines/lib/python3.7/site-packages/design_bench/oracles/oracle_builder.py", line 505, $
range(self.internal_measurements)], axis=0)
File "/homes/kaushik/miniconda3/envs/design-baselines/lib/python3.7/site-packages/design_bench/oracles/oracle_builder.py", line 504, $
x_sliced, **kwargs) for _ in
File "/homes/kaushik/miniconda3/envs/design-baselines/lib/python3.7/site-packages/design_bench/oracles/tensorflow/transformer_oracle.$
elif isinstance(training, DiscreteDataset):
NameError: name 'training' is not defined
[[node PyFunc (defined at /Projects/xxxxx/design-baselines/design_baselines/data.py:1016) ]]
[[PyFunc/_4]]
0 successful operations.
0 derived errors ignored. [Op:__inference_predict_169205]
Errors may have originated from an input operation.
Input Source operations connected to node PyFunc:
x (defined at /Projects/xxxxx/design-baselines/design_baselines/bo_qei/__init__.py:279)
Input Source operations connected to node PyFunc:
x (defined at /Projects/xxxxx/design-baselines/design_baselines/bo_qei/__init__.py:279)
Function call stack:
predict -> predict
This looks like there is some error produced in the pip installed design-bench library. Could you please take a look at this? Any suggestions are greatly appreciated. Thanks !
Unable to download datasets from https://storage.googleapis.com/design-bench/...
Hi,
I am trying to run nas_bench, while an error occurs:
FileNotFoundError: [Errno 2] No such file or directory: '/home/***/anaconda3/envs/design-baselines/lib/python3.7/site-packages/design_bench_data/nas_bench/nas_bench-x-0.npy'
Then I find that the file nas_bench-x-0.npy cannot be downloaded from https://storage.googleapis.com/design-bench/nas_bench/nas_bench-x-0.npy. Around a month ago, this file could be accessed, but now it is not.
It seems that all files from https://storage.googleapis.com/design-bench/... cannot be downloaded. Is there anything wrong with the server? And are there any other ways to access the datasets?
Could you please take a look at this? Any suggestions are greatly appreciated. Thanks!
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