windows 10, python 26 - 32 bit. vc++ 32 bit.
console as admin.
failing to install English model as instructed here
tried also German. tried to download and link it manually.
something wrong with spacy link command.
Anyone knows about this issue?
Traceback (most recent call last):
File "c:\python27\lib\runpy.py", line 174, in _run_module_as_main
"__main__", fname, loader, pkg_name)
File "c:\python27\lib\runpy.py", line 72, in _run_code
exec code in run_globals
File "c:\python27\lib\site-packages\spacy\__main__.py", line 71, in <module>
plac.Interpreter.call(CLI)
File "c:\python27\lib\site-packages\plac_ext.py", line 1142, in call
print(out)
File "c:\python27\lib\site-packages\plac_ext.py", line 914, in __exit__
self.close(exctype, exc, tb)
File "c:\python27\lib\site-packages\plac_ext.py", line 952, in close
self._interpreter.throw(exctype, exc, tb)
File "c:\python27\lib\site-packages\plac_ext.py", line 964, in _make_interpreter
arglist = yield task
File "c:\python27\lib\site-packages\plac_ext.py", line 1139, in call
raise_(task.etype, task.exc, task.tb)
File "c:\python27\lib\site-packages\plac_ext.py", line 380, in _wrap
for value in genobj:
File "c:\python27\lib\site-packages\plac_ext.py", line 95, in gen_exc
raise_(etype, exc, tb)
File "c:\python27\lib\site-packages\plac_ext.py", line 966, in _make_interpreter
cmd, result = self.parser.consume(arglist)
File "c:\python27\lib\site-packages\plac_core.py", line 207, in consume
return cmd, self.func(*(args + varargs + extraopts), **kwargs)
File "c:\python27\lib\site-packages\spacy\__main__.py", line 45, in link
cli_link(origin, link_name, force)
File "c:\python27\lib\site-packages\spacy\cli\link.py", line 14, in link
symlink(origin, link_name, force)
File "c:\python27\lib\site-packages\spacy\cli\link.py", line 50, in symlink
link_path.symlink_to(model_path)
File "c:\python27\lib\site-packages\pathlib.py", line 1167, in symlink_to
self._accessor.symlink(target, self, target_is_directory)
TypeError: symlink() takes exactly 3 arguments (4 given)
I think it's a bug in pathlib, and has nothing to do with spacy.
You can work around it, but it's ugly.
Edit line 1167 of C:\Python27\lib\site-packages\pathlib.py. Comment it out.
Re-run python -m spacy download en
cd C:\python27\lib\site-packages
mklink /j spacy\data\en en_core_web_sm\en_core_web_sm-1.2.0
Related
I'm trying to run on cloud this deep learning model:
https://github.com/razvanmarinescu/brgm#image-reconstruction-with-pre-trained-stylegan2-generators
What I do is simply utilizing their Colab Notebook: https://colab.research.google.com/drive/1G7_CGPHZVGFWIkHOAke4HFg06-tNHIZ4?usp=sharing#scrollTo=qMgE6QFiHuSL
When I try to exectute:
!python recon.py recon-real-images --input=/content/drive/MyDrive/boeing/EDGEconnect/val_imgs --masks=/content/drive/MyDrive/boeing/EDGEconnect/val_masks --tag=brains --network=dropbox:brains.pkl --recontype=inpaint --num-steps=1000 --num-snapshots=1
I receive this error:
args: Namespace(command='recon-real-images', input='/content/drive/MyDrive/boeing/EDGEconnect/val_imgs', masks='/content/drive/MyDrive/boeing/EDGEconnect/val_masks', network_pkl='dropbox:brains.pkl', num_snapshots=1, num_steps=1000, recontype='inpaint', superres_factor=4, tag='brains')
Local submit - run_dir: results/00004-brains-inpaint
dnnlib: Running recon.recon_real_images() on localhost...
Processing image 1/4
Loading networks from "dropbox:brains.pkl"...
Setting up TensorFlow plugin "fused_bias_act.cu": Preprocessing... Loading... Failed!
Traceback (most recent call last):
File "recon.py", line 270, in <module>
main()
File "recon.py", line 263, in main
dnnlib.submit_run(sc, func_name_map[subcmd], **kwargs)
File "/content/drive/MyDrive/boeing/brgm/brgm/dnnlib/submission/submit.py", line 343, in submit_run
return farm.submit(submit_config, host_run_dir)
File "/content/drive/MyDrive/boeing/brgm/brgm/dnnlib/submission/internal/local.py", line 22, in submit
return run_wrapper(submit_config)
File "/content/drive/MyDrive/boeing/brgm/brgm/dnnlib/submission/submit.py", line 280, in run_wrapper
run_func_obj(**submit_config.run_func_kwargs)
File "/content/drive/MyDrive/boeing/brgm/brgm/recon.py", line 189, in recon_real_images
recon_real_one_img(network_pkl, img_list[image_idx], masks, num_snapshots, recontype, superres_factor, num_steps)
File "/content/drive/MyDrive/boeing/brgm/brgm/recon.py", line 132, in recon_real_one_img
_G, _D, Gs = pretrained_networks.load_networks(network_pkl)
File "/content/drive/MyDrive/boeing/brgm/brgm/pretrained_networks.py", line 83, in load_networks
G, D, Gs = pickle.load(stream, encoding='latin1')
File "/content/drive/MyDrive/boeing/brgm/brgm/dnnlib/tflib/network.py", line 297, in __setstate__
self._init_graph()
File "/content/drive/MyDrive/boeing/brgm/brgm/dnnlib/tflib/network.py", line 154, in _init_graph
out_expr = self._build_func(*self.input_templates, **build_kwargs)
File "<string>", line 395, in G_synthesis_stylegan2
File "<string>", line 359, in layer
File "<string>", line 106, in modulated_conv2d_layer
File "<string>", line 75, in apply_bias_act
File "/content/drive/MyDrive/boeing/brgm/brgm/dnnlib/tflib/ops/fused_bias_act.py", line 68, in fused_bias_act
return impl_dict[impl](x=x, b=b, axis=axis, act=act, alpha=alpha, gain=gain)
File "/content/drive/MyDrive/boeing/brgm/brgm/dnnlib/tflib/ops/fused_bias_act.py", line 122, in _fused_bias_act_cuda
cuda_kernel = _get_plugin().fused_bias_act
File "/content/drive/MyDrive/boeing/brgm/brgm/dnnlib/tflib/ops/fused_bias_act.py", line 16, in _get_plugin
return custom_ops.get_plugin(os.path.splitext(__file__)[0] + '.cu')
File "/content/drive/MyDrive/boeing/brgm/brgm/dnnlib/tflib/custom_ops.py", line 156, in get_plugin
plugin = tf.load_op_library(bin_file)
File "/tensorflow-1.15.2/python3.7/tensorflow_core/python/framework/load_library.py", line 61, in load_op_library
lib_handle = py_tf.TF_LoadLibrary(library_filename)
tensorflow.python.framework.errors_impl.NotFoundError: /content/drive/MyDrive/boeing/brgm/brgm/dnnlib/tflib/_cudacache/fused_bias_act_237d55aca3e3c3ec0547da06888d8e66.so: undefined symbol: _ZN10tensorflow12OpDefBuilder4AttrENSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEE
I found that the very last part of an error:
tensorflow.python.framework.errors_impl.NotFoundError: /content/drive/MyDrive/boeing/brgm/brgm/dnnlib/tflib/_cudacache/fused_bias_act_237d55aca3e3c3ec0547da06888d8e66.so: undefined symbol: _ZN10tensorflow12OpDefBuilder4AttrENSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEE
Can be solved by changing a flag in Cuda Makefile: https://github.com/mgharbi/hdrnet_legacy/issues/2 or by installing tf 1.14(colab runs on 1.15.2 and this change made no positive effect).
My question is, how can I get rid of this error, is there an option to change smth inside Google Colab's Cuda Makefile?
i'm trying to evaluate my model
using this command:
python eval.py --logtostderr --pipeline_config_path=training/faster_rcnn_inception_v2_pets.config --checkpoint_dir=inference_graph --eval_dir=eval
and im getting this error
and I'm getting this error:
Traceback (most recent call last): File "eval.py", line 142, in tf.app.run() File "C:\Users\mosta\Anaconda3\envs\mat\lib\site-packages\tensorflow_core\python\platform\app.py", line 40, in run _run(main=main, argv=argv, flags_parser=_parse_flags_tolerate_undef) File "C:\Users\mosta\Anaconda3\envs\mat\lib\site-packages\absl\app.py", line 299, in run _run_main(main, args) File "C:\Users\mosta\Anaconda3\envs\mat\lib\site-packages\absl\app.py", line 250, in _run_main sys.exit(main(argv)) File "C:\Users\mosta\Anaconda3\envs\mat\lib\site-packages\tensorflow_core\python\util\deprecation.py", line 324, in new_func return func(*args, **kwargs) File "eval.py", line 138, in main graph_hook_fn=graph_rewriter_fn) File "C:\Users\mosta\Anaconda3\envs\mat\lib\site-packages\object_detection-0.1-py3.5.egg\object_detection\legacy\evaluator.py", line 274, in evaluate evaluator_list = get_evaluators(eval_config, categories) File "C:\Users\mosta\Anaconda3\envs\mat\lib\site-packages\object_detection-0.1-py3.5.egg\object_detection\legacy\evaluator.py", line 166, in get_evaluators EVAL_METRICS_CLASS_DICTeval_metric_fn_key) File "C:\Users\mosta\Anaconda3\envs\mat\lib\site-packages\object_detection-0.1-py3.5.egg\object_detection\utils\object_detection_evaluation.py", line 470, in init use_weighted_mean_ap=False) File "C:\Users\mosta\Anaconda3\envs\mat\lib\site-packages\object_detection-0.1-py3.5.egg\object_detection\utils\object_detection_evaluation.py", line 194, in init self._build_metric_names() File "C:\Users\mosta\Anaconda3\envs\mat\lib\site-packages\object_detection-0.1-py3.5.egg\object_detection\utils\object_detection_evaluation.py", line 213, in _build_metric_names category_name = unicode(category_name, 'utf-8') NameError: name 'unicode' is not defined
Hi there!
Python 3 renamed the unicode type to str, the old str type has been replaced by bytes.
Knowing this it makes sense that we're getting errors as parts of the TF Object Detection API are deprecated (written using Python 2.x)
See here for more explanation on how to upgrade the code to be compatible with Python 3.
I hope this helps!
The issue started appearing over the weekend. For some reason, it feels to be a DataFlow issue.
Previously, I was able to execute the script and write TF records just fine. However, now, I am unable to initialize the computation graph to process the data.
The traceback is:
Traceback (most recent call last):
File "my_script.py", line 1492, in <module>
MyBeamClass()
File "my_script.py", line 402, in __init__
self.run()
File "my_script.py", line 514, in run
transform_fn_io.WriteTransformFn(path=self.JOB_DIR + '/transform/'))
File "/anaconda3/envs/ml27/lib/python2.7/site-packages/apache_beam/pipeline.py", line 426, in __exit__
self.run().wait_until_finish()
File "/anaconda3/envs/ml27/lib/python2.7/site-packages/apache_beam/runners/dataflow/dataflow_runner.py", line 1238, in wait_until_finish
(self.state, getattr(self._runner, 'last_error_msg', None)), self)
apache_beam.runners.dataflow.dataflow_runner.DataflowRuntimeException: Dataflow pipeline failed. State: FAILED, Error:
Traceback (most recent call last):
File "/usr/local/lib/python2.7/dist-packages/dataflow_worker/batchworker.py", line 649, in do_work
work_executor.execute()
File "/usr/local/lib/python2.7/dist-packages/dataflow_worker/executor.py", line 176, in execute
op.start()
File "apache_beam/runners/worker/operations.py", line 531, in apache_beam.runners.worker.operations.DoOperation.start
def start(self):
File "apache_beam/runners/worker/operations.py", line 532, in apache_beam.runners.worker.operations.DoOperation.start
with self.scoped_start_state:
File "apache_beam/runners/worker/operations.py", line 533, in apache_beam.runners.worker.operations.DoOperation.start
super(DoOperation, self).start()
File "apache_beam/runners/worker/operations.py", line 202, in apache_beam.runners.worker.operations.Operation.start
def start(self):
File "apache_beam/runners/worker/operations.py", line 206, in apache_beam.runners.worker.operations.Operation.start
self.setup()
File "apache_beam/runners/worker/operations.py", line 480, in apache_beam.runners.worker.operations.DoOperation.setup
with self.scoped_start_state:
File "apache_beam/runners/worker/operations.py", line 485, in apache_beam.runners.worker.operations.DoOperation.setup
pickler.loads(self.spec.serialized_fn))
File "/usr/local/lib/python2.7/dist-packages/apache_beam/internal/pickler.py", line 247, in loads
return dill.loads(s)
File "/usr/local/lib/python2.7/dist-packages/dill/_dill.py", line 317, in loads
return load(file, ignore)
File "/usr/local/lib/python2.7/dist-packages/dill/_dill.py", line 305, in load
obj = pik.load()
File "/usr/lib/python2.7/pickle.py", line 864, in load
dispatch[key](self)
File "/usr/lib/python2.7/pickle.py", line 1232, in load_build
for k, v in state.iteritems():
AttributeError: 'str' object has no attribute 'iteritems'
I am using tensorflow==1.13.1 and tensorflow-transform==0.9.0 and apache_beam==2.7.0
with beam.Pipeline(options=self.pipe_opt) as p:
with beam_impl.Context(temp_dir=self.google_cloud_options.temp_location):
# rest of the script
_ = (
transform_fn
| 'WriteTransformFn' >>
transform_fn_io.WriteTransformFn(path=self.JOB_DIR + '/transform/'))
I was experiencing the same error.
It seems to be triggered by a mismatch in the tensorflow-transform versions of your local (or master) machine and the workers one (specified in the setup.py file).
In my case I was running tensorflow-transform==0.13 on my local machine whereas the workers were running 0.8.
Downgrading the local version to 0.8 fixed the issue.
I've cloned depot tools given instructions from here on ubuntu 17.04.
When I run fetch chromium I get the following error.
./fetch chromium
Running: gclient root
Traceback (most recent call last):
File "./fetch.py", line 299, in <module>
sys.exit(main())
File "./fetch.py", line 294, in main
return run(options, spec, root)
File "./fetch.py", line 280, in run
if not options.force and checkout.exists():
File "./fetch.py", line 82, in exists
gclient_root = self.run_gclient('root').strip()
File "./fetch.py", line 78, in run_gclient
return self.run(cmd_prefix + cmd, **kwargs)
File "./fetch.py", line 68, in run
return subprocess.check_output(cmd, **kwargs)
File "/usr/lib/python2.7/subprocess.py", line 212, in check_output
process = Popen(stdout=PIPE, *popenargs, **kwargs)
File "/usr/lib/python2.7/subprocess.py", line 390, in __init__
errread, errwrite)
File "/usr/lib/python2.7/subprocess.py", line 1024, in _execute_child
raise child_exception
OSError: [Errno 2] No such file or directory
I have come across similar errors in stackoverflow while searching for a resolution however none of them helped resolve the problem.
I'm not clear on if there is any steps required after cloning to install depot tools? The readme
Any thoughts on what is required to solve the problem?
Conteh
I train pet detector by google object detection api and get error as fellow：Does it mean sorted fun does not support the dict's key type is tuple and the object detection api still does not support python3?
Traceback (most recent call last):
File "D:\Program Files\JetBrains\PyCharm 2017.1.1\helpers\pydev\pydevd.py", line 1578, in <module>
globals = debugger.run(setup['file'], None, None, is_module)
File "D:\Program Files\JetBrains\PyCharm 2017.1.1\helpers\pydev\pydevd.py", line 1015, in run
pydev_imports.execfile(file, globals, locals) # execute the script
File "D:\Program Files\JetBrains\PyCharm 2017.1.1\helpers\pydev\_pydev_imps\_pydev_execfile.py", line 18, in execfile
exec(compile(contents+"\n", file, 'exec'), glob, loc)
File "E:/Work/Lib/tensorflow/models/object_detection/train.py", line 198, in <module>
tf.app.run()
File "D:\Program Files\Python\Python35\lib\site-packages\tensorflow\python\platform\app.py", line 48, in run
_sys.exit(main(_sys.argv[:1] + flags_passthrough))
File "E:/Work/Lib/tensorflow/models/object_detection/train.py", line 194, in main
worker_job_name, is_chief, FLAGS.train_dir)
File "E:\Work\Lib\tensorflow\models\object_detection\trainer.py", line 184, in train
data_augmentation_options)
File "E:\Work\Lib\tensorflow\models\object_detection\trainer.py", line 77, in _create_input_queue
prefetch_queue_capacity=prefetch_queue_capacity)
File "E:\Work\Lib\tensorflow\models\object_detection\core\batcher.py", line 93, in __init__
num_threads=num_batch_queue_threads)
File "D:\Program Files\Python\Python35\lib\site-packages\tensorflow\python\training\input.py", line 919, in batch
name=name)
File "D:\Program Files\Python\Python35\lib\site-packages\tensorflow\python\training\input.py", line 697, in _batch
tensor_list = _as_tensor_list(tensors)
File "D:\Program Files\Python\Python35\lib\site-packages\tensorflow\python\training\input.py", line 385, in _as_tensor_list
return [tensors[k] for k in sorted(tensors)]
TypeError: unorderable types: str() < tuple()
I ran into the same problem. I traced the issue down to a python 3 compat issue in TensorFlow. I have submitted a fix for it here: https://github.com/tensorflow/tensorflow/pull/11039