Tensorflow debugger with mnist works fine and use GPU (I see it in nvidia-smi).PermissionError: Permission denied: '/usr/local/bin/freeze_graph' Uninstalled_pathset.remove(auto_confirm, verbose)įile "/usr/local/lib/python3.5/dist-packages/pip/_internal/req/req_uninstall.py", line 388, in removeįile "/usr/local/lib/python3.5/dist-packages/pip/_internal/req/req_uninstall.py", line 277, in stashįile "/usr/local/lib/python3.5/dist-packages/pip/_internal/utils/misc.py", line 305, in renamesįile "/usr/lib/python3.5/shutil.py", line 553, in move PermissionError: Permission denied: '/usr/local/bin/freeze_graph' -> '/tmp/pip-uninstall-n9t_qerr/freeze_graph'ĭuring handling of the above exception, another exception occurred:įile "/usr/local/lib/python3.5/dist-packages/pip/_internal/cli/base_command.py", line 178, in mainįile "/usr/local/lib/python3.5/dist-packages/pip/_internal/commands/uninstall.py", line 75, in runĪuto_confirm=options.yes, verbose=self.verbosity > 0,įile "/usr/local/lib/python3.5/dist-packages/pip/_internal/req/req_install.py", line 825, in uninstall usr/local/lib/python3.5/dist-packages/tensorflow_gpu-1.13.1.dist-info/*įile "/usr/lib/python3.5/shutil.py", line 538, in move usr/local/lib/python3.5/dist-packages/tensorflow/* If executing pip with sudo, you may want sudo's -H flag. Please check the permissions and owner of that directory. WARNING: The directory '/.cache/pip/http' or its parent directory is not owned by the current user and the cache has been disabled. Tf-docker / > pip uninstall tensorflow-gpu Which should map to the ID and group for your user on the Docker host. You are running this container as user with ID 1000 and group 1000, docker run without -u $(id -u):$(id -g) because with this I cant uninstall tensorflow:Įxample docker run -runtime=nvidia -u $(id -u):$(id -g) -v ~/projects/gpt2-simple:/gpt2 -it tensorflow/tensorflow:latest-gpu-p圓 bash.Its error looks like #22477 but I dont understand where solution in that issue.07:05:22.669812: F tensorflow/core/common_runtime/gpu/gpu_event_mgr.cc:274] Unexpected Event status: 1 07:05:22.669722: E tensorflow/stream_executor/cuda/cuda_:48] Error polling for event status: failed to query event: CUDA_ERROR_LAUNCH_FAILED: unspecified launch failure GPU model and memory: GeForce GTX 1080 Ti (11 Gb)ĭescribe the current python imdb_reviews.py.GCC/Compiler version (if compiling from source): Same as docker tensorflow/tensorflow:latest-gpu-p圓 & tensorflow/tensorflow:devel-gpu-p圓 (error reproduce in both).Bazel version (if compiling from source): 0.21.0.TensorFlow installed from (source or binary): custom build TF (without AVX) from yaroslavvb/tensorflow-community-wheels#109.iPhone 8, Pixel 2, Samsung Galaxy) if the issue happens on mobile device: No OS Platform and Distribution (e.g., Linux Ubuntu 16.04): Ubuntu 16.04 & Docker.
#Unicdma v1.098 full version code
Have I written custom code (as opposed to using a stock example script provided in TensorFlow): used for finetuning.As per our GitHub Policy, we only address code/doc bugs, performance issues, feature requests and build/installation issues on GitHub.
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