I am trying to run NVidia's face generating demo on my computer. I am using Windows 10. I have downloaded the source, and am trying to follow the steps further down the page. I have installed the latest NVidia drivers for my GTX1060, which should be a device that supports cuda functionality. I have installed the Cuda Toolkit, as well as the cuDNN SDK that TensorFlow requires.
However, when running the import_example.py script I am getting the below error. Can anyone tell me what I am doing wrong?
2019-03-19 20:16:26.112574: I tensorflow/core/platform/cpu_feature_guard.cc:141] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2
WARNING:tensorflow:From C:\Users\me\AppData\Local\Programs\Python\Python37\lib\site-packages\tensorflow\python\framework\op_def_library.py:263: colocate_with (from tensorflow.python.framework.ops) is deprecated and will be removed in a future version.
Instructions for updating:
Colocations handled automatically by placer.
Traceback (most recent call last):
File "C:\Users\me\AppData\Local\Programs\Python\Python37\lib\site-packages\tensorflow\python\client\session.py", line 1334, in _do_call
return fn(*args)
File "C:\Users\me\AppData\Local\Programs\Python\Python37\lib\site-packages\tensorflow\python\client\session.py", line 1319, in _run_fn
options, feed_dict, fetch_list, target_list, run_metadata)
File "C:\Users\me\AppData\Local\Programs\Python\Python37\lib\site-packages\tensorflow\python\client\session.py", line 1407, in _call_tf_sessionrun
run_metadata)
tensorflow.python.framework.errors_impl.InvalidArgumentError: Cannot assign a device for operation G_paper_1/Run/G_paper_1/latents_in: was explicitly assigned to /device:GPU:0 but available devices are [ /job:localhost/replica:0/task:0/device:CPU:0 ]. Make sure the device specification refers to a valid device. The requested device appears to be a GPU, but CUDA is not enabled.
[[]]
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File ".\import_example.py", line 21, in <module>
images = Gs.run(latents, labels)
File "C:\Users\me\Desktop\progressive_growing_of_gans-master\tfutil.py", line 668, in run
mb_out = tf.get_default_session().run(out_expr, dict(zip(self.input_templates, mb_in)))
File "C:\Users\me\AppData\Local\Programs\Python\Python37\lib\site-packages\tensorflow\python\client\session.py", line 929, in run
run_metadata_ptr)
File "C:\Users\me\AppData\Local\Programs\Python\Python37\lib\site-packages\tensorflow\python\client\session.py", line 1152, in _run
feed_dict_tensor, options, run_metadata)
File "C:\Users\me\AppData\Local\Programs\Python\Python37\lib\site-packages\tensorflow\python\client\session.py", line 1328, in _do_run
run_metadata)
File "C:\Users\me\AppData\Local\Programs\Python\Python37\lib\site-packages\tensorflow\python\client\session.py", line 1348, in _do_call
raise type(e)(node_def, op, message)
tensorflow.python.framework.errors_impl.InvalidArgumentError: Cannot assign a device for operation G_paper_1/Run/G_paper_1/latents_in: node G_paper_1/Run/G_paper_1/latents_in (defined at C:\Users\me\Desktop\progressive_growing_of_gans-master\tfutil.py:508) was explicitly assigned to /device:GPU:0 but available devices are [ /job:localhost/replica:0/task:0/device:CPU:0 ]. Make sure the device specification refers to a valid device. The requested device appears to be a GPU, but CUDA is not enabled.
[[node G_paper_1/Run/G_paper_1/latents_in (defined at C:\Users\me\Desktop\progressive_growing_of_gans-master\tfutil.py:508) ]]
Caused by op 'G_paper_1/Run/G_paper_1/latents_in', defined at:
File ".\import_example.py", line 21, in <module>
images = Gs.run(latents, labels)
File "C:\Users\me\Desktop\progressive_growing_of_gans-master\tfutil.py", line 645, in run
out_expr = self.get_output_for(*in_split[gpu], return_as_list=True, **dynamic_kwargs)
File "C:\Users\me\Desktop\progressive_growing_of_gans-master\tfutil.py", line 508, in get_output_for
named_inputs = [tf.identity(expr, name=name) for expr, name in zip(in_expr, self.input_names)]
File "C:\Users\me\Desktop\progressive_growing_of_gans-master\tfutil.py", line 508, in <listcomp>
named_inputs = [tf.identity(expr, name=name) for expr, name in zip(in_expr, self.input_names)]
File "C:\Users\me\AppData\Local\Programs\Python\Python37\lib\site-packages\tensorflow\python\util\dispatch.py", line 180, in wrapper
return target(*args, **kwargs)
File "C:\Users\me\AppData\Local\Programs\Python\Python37\lib\site-packages\tensorflow\python\ops\array_ops.py", line 81, in identity
ret = gen_array_ops.identity(input, name=name)
File "C:\Users\me\AppData\Local\Programs\Python\Python37\lib\site-packages\tensorflow\python\ops\gen_array_ops.py", line 4537, in identity
"Identity", input=input, name=name)
File "C:\Users\me\AppData\Local\Programs\Python\Python37\lib\site-packages\tensorflow\python\framework\op_def_library.py", line 788, in _apply_op_helper
op_def=op_def)
File "C:\Users\me\AppData\Local\Programs\Python\Python37\lib\site-packages\tensorflow\python\util\deprecation.py", line 507, in new_func
return func(*args, **kwargs)
File "C:\Users\me\AppData\Local\Programs\Python\Python37\lib\site-packages\tensorflow\python\framework\ops.py", line 3300, in create_op
op_def=op_def)
File "C:\Users\me\AppData\Local\Programs\Python\Python37\lib\site-packages\tensorflow\python\framework\ops.py", line 1801, in __init__
self._traceback = tf_stack.extract_stack()
InvalidArgumentError (see above for traceback): Cannot assign a device for operation G_paper_1/Run/G_paper_1/latents_in: node G_paper_1/Run/G_paper_1/latents_in (defined at C:\Users\me\Desktop\progressive_growing_of_gans-master\tfutil.py:508) was explicitly assigned to /device:GPU:0 but available devices are [ /job:localhost/replica:0/task:0/device:CPU:0 ]. Make sure the device specification refers to a valid device. The requested device appears to be a GPU, but CUDA is not enabled.
[[node G_paper_1/Run/G_paper_1/latents_in (defined at C:\Users\me\Desktop\progressive_growing_of_gans-master\tfutil.py:508) ]]
from Tensorflow can't assign a device for operation
No comments:
Post a Comment