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fastmachinelearning / hls4ml-tutorial

Tutorial notebooks for hls4ml
http://fastmachinelearning.org/hls4ml-tutorial/
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docker build error #49

Open gi4you opened 1 year ago

gi4you commented 1 year ago

Hello, I found a build error in the RHEL8 environment(pull is Ok).

$sudo docker build -f docker/Dockerfile.vivado -t ghcr.io/fastmachinelearning/hls4ml-tutorial/hls4ml-0.7.1-vivado-2019.2:latest . Sending build context to Docker daemon 67.18GB Error response from daemon: unexpected error reading Dockerfile: read /var/lib/docker/tmp/docker-builder548070090/docker/Dockerfile.vivado: is a directory

jmduarte commented 1 year ago

hi @gi4you. I'm not sure why you're seeing this error, but why do you need to build it if you can just pull it? Do you need to change something?

gi4you commented 1 year ago

Hello @jmduarte,

Thank you for your quick answer. No, I just followed a tutorial.

One more question: I've got the below errors and stopped. Did I miss something?

$ docker run -p 8888:8888 ghcr.io/fastmachinelearning/hls4ml-tutorial/hls4ml-0.7.1-vivado-2019.2:latest Entered start.sh with args: jupyter lab WARNING: no write access to /home/jovyan. Try starting the container with group 'users' (100), e.g. using "--group-add=users". Executing the command: jupyter lab Fail to get yarn configuration. /opt/conda/bin/node[14]: ../../src/node_platform.cc:61:std::unique_ptr node::WorkerThreadsTaskRunner::DelayedTaskScheduler::Start(): Assertion `(0) == (uv_thread_create(t.get(), start_thread, this))' failed. 1: 0x7f471b7ff9e9 node::Abort() [/opt/conda/bin/../lib/libnode.so.93] 2: 0x7f471b7ffa7b [/opt/conda/bin/../lib/libnode.so.93] 3: 0x7f471b87472d node::WorkerThreadsTaskRunner::WorkerThreadsTaskRunner(int) [/opt/conda/bin/../lib/libnode.so.93] 4: 0x7f471b874816 node::NodePlatform::NodePlatform(int, v8::TracingController*) [/opt/conda/bin/../lib/libnode.so.93] 5: 0x7f471b7c2c65 [/opt/conda/bin/../lib/libnode.so.93] 6: 0x7f471b7c3697 node::InitializeOncePerProcess(int, char, node::InitializationSettingsFlags, node::ProcessFlags::Flags) [/opt/conda/bin/../lib/libnode.so.93] 7: 0x7f471b7c383a node::InitializeOncePerProcess(int, char) [/opt/conda/bin/../lib/libnode.so.93] 8: 0x7f471b7c3897 node::Start(int, char**) [/opt/conda/bin/../lib/libnode.so.93] 9: 0x7f471adf8d90 [/lib/x86_64-linux-gnu/libc.so.6] 10: 0x7f471adf8e40 __libc_start_main [/lib/x86_64-linux-gnu/libc.so.6] 11: 0x560f0834c145 [/opt/conda/bin/node]

. . [I 2023-06-17 02:47:08.735 ServerApp] Use Control-C to stop this server and shut down all kernels (twice to skip confirmation). [C 2023-06-17 02:47:08.738 ServerApp] 

To access the server, open this file in a browser:
    file:///home/jovyan/.local/share/jupyter/runtime/jpserver-7-open.html
Or copy and paste one of these URLs:
    http://5d267cb5a9bd:8888/lab?token=72c4afb676d32e307e98b6c9dc9b7f5bfd1cc0f1c567d817
    http://127.0.0.1:8888/lab?token=72c4afb676d32e307e98b6c9dc9b7f5bfd1cc0f1c567d817
gi4you commented 1 year ago

Hello,

I attempted using Xilinx Vitis-AI docker_run.sh for container starting. but when I start Jupyter notebook, it shows simular errors.

Vitis-AI]$ ./docker_run.sh ghcr.io/fastmachinelearning/hls4ml-tutorial/hls4ml-0.7.1-vivado-2019.2 Using default tag: latest latest: Pulling from fastmachinelearning/hls4ml-tutorial/hls4ml-0.7.1-vivado-2019.2 Digest: sha256:2b0104ba3ad160978f6a33fba8fe8819ba9eb52e5a24cc9778ea584f099f9730 Status: Image is up to date for ghcr.io/fastmachinelearning/hls4ml-tutorial/hls4ml-0.7.1-vivado-2019.2:latest ghcr.io/fastmachinelearning/hls4ml-tutorial/hls4ml-0.7.1-vivado-2019.2:latest (base) jovyan@SPS-diaglabs-dev:/workspace$ (base) jovyan@SPS-diaglabs-dev:/workspace$ cat /etc/issue Ubuntu 22.04.2 LTS \n \l

(base) jovyan@SPS-diaglabs-dev:~$ jupyter notebook

| | | |_ | | | | __ | || | ' \/ / _ | / -) _/| ./_,_,|_\| |_|

Read the migration plan to Notebook 7 to learn about the new features and the actions to take if you are using extensions.

https://jupyter-notebook.readthedocs.io/en/latest/migrate_to_notebook7.html

Please note that updating to Notebook 7 might break some of your extensions.

[I 03:17:35.943 NotebookApp] [jupyter_nbextensions_configurator] enabled 0.6.1 Fail to get yarn configuration. /opt/conda/bin/node[1078]: ../../src/node_platform.cc:61:std::unique_ptr node::WorkerThreadsTaskRunner::DelayedTaskScheduler::Start(): Assertion `(0) == (uv_thread_create(t.get(), start_thread, this))' failed. 1: 0x7f71876199e9 node::Abort() [/opt/conda/bin/../lib/libnode.so.93] 2: 0x7f7187619a7b [/opt/conda/bin/../lib/libnode.so.93] 3: 0x7f718768e72d node::WorkerThreadsTaskRunner::WorkerThreadsTaskRunner(int) [/opt/conda/bin/../lib/libnode.so.93] 4: 0x7f718768e816 node::NodePlatform::NodePlatform(int, v8::TracingController*) [/opt/conda/bin/../lib/libnode.so.93] 5: 0x7f71875dcc65 [/opt/conda/bin/../lib/libnode.so.93] 6: 0x7f71875dd697 node::InitializeOncePerProcess(int, char, node::InitializationSettingsFlags, node::ProcessFlags::Flags) [/opt/conda/bin/../lib/libnode.so.93] 7: 0x7f71875dd83a node::InitializeOncePerProcess(int, char) [/opt/conda/bin/../lib/libnode.so.93] 8: 0x7f71875dd897 node::Start(int, char**) [/opt/conda/bin/../lib/libnode.so.93] 9: 0x7f7186c12d90 [/lib/x86_64-linux-gnu/libc.so.6] 10: 0x7f7186c12e40 __libc_start_main [/lib/x86_64-linux-gnu/libc.so.6] 11: 0x562141480145 [/opt/conda/bin/node]

[W 03:17:36.512 NotebookApp] Loading JupyterLab as a classic notebook (v6) extension. [C 03:17:36.512 NotebookApp] You must use Jupyter Server v1 to load JupyterLab as notebook extension. You have v2.5.0 installed. You can fix this by executing: pip install -U "jupyter-server<2.0.0" [C 03:17:36.581 NotebookApp] You must use Jupyter Server v1 to load nbdime as a classic notebook server extension. You have v2.5.0 installed. You can fix this by executing: pip install -U "jupyter-server<2.0.0" [I 03:17:36.582 NotebookApp] Serving notebooks from local directory: /home/jovyan [I 03:17:36.582 NotebookApp] Jupyter Notebook 6.5.4 is running at: [I 03:17:36.582 NotebookApp] http://SPS-diaglabs-dev.nsls2.bnl.gov:8888/?token=0bc8a116b5bb65ba45dfae29491c7e5178eeb24bef23db4a [I 03:17:36.582 NotebookApp] or http://127.0.0.1:8888/?token=0bc8a116b5bb65ba45dfae29491c7e5178eeb24bef23db4a [I 03:17:36.582 NotebookApp] Use Control-C to stop this server and shut down all kernels (twice to skip confirmation). [C 03:17:36.587 NotebookApp] 

To access the notebook, open this file in a browser:
    file:///home/jovyan/.local/share/jupyter/runtime/nbserver-1075-open.html
Or copy and paste one of these URLs:
    http://SPS-diaglabs-dev.nsls2.bnl.gov:8888/?token=0bc8a116b5bb65ba45dfae29491c7e5178eeb24bef23db4a
 or http://127.0.0.1:8888/?token=0bc8a116b5bb65ba45dfae29491c7e5178eeb24bef23db4a