![]() ![]() ![]() Tensorflow/tensorflow:nightly-p圓-jupyter \n'' returned non-zero exit status 1įor me, pip install jupyter-tensorboard does not help.TensorBoard can be used directly within notebook experiences such as Colab and Jupyter. usr/local/lib/python3.5/dist-packages/IPython/core/magic.py in (f, *a, **k) Tensorflow/tensorflow:nightly-p圓-jupyter \n') docker run -it -p 8888:8888 -p 6006:6006 tensorflow/tensorflow:nightly-p圓-jupyterĮrror appears the input device is not a TTY Then, I run the following in another cell. I still see the same error took too long to respond. I run the following in a Jupyter Notebook cell. > 1 get_ipython().run_cell_magic('bash', '', 'docker run -it -p 8888:8888 -p 6006:6006 \ntensorflow/tensorflow:nightly-p圓-jupyter\n')ĬalledProcessError: Command 'b'docker run -it -p 8888:8888 -p 6006:6006 \ntensorflow/t ensorflow:nightly-p圓-jupyter\n'' returned non-zero exit status 1` Tensorflow/t ensorflow:nightly-p圓-jupyter\n'' returned non-zero exit status 1`ĭespite the error, I continue to run the following commands:Ĥ took too long to respond.Ĭan you tell me what I did wrongly? What are the right steps? Thank you > 245 raise CalledProcessError(p.returncode, cell, output=out, stderr=err)Ģ47 def _run_script(self, p, cell, to_close):ĬalledProcessError: Command 'b'docker run -it -p 8888:8888 -p 6006:6006 usr/local/lib/python3.5/dist-packages/IPython/core/magics/script.py in shebang(self, line, cell)Ģ44 if args.raise_error and p.returncode!=0: usr/local/lib/python3.5/dist-packages/IPython/core/magic.py in (f, a, *k)ġ85 # but it's overkill for just that one bit of state. usr/local/lib/python3.5/dist-packages/IPython/core/magics/script.py in named_script_magic(line, cell) usr/local/lib/python3.5/dist-packages/IPython/core/interactiveshell.py in run_cell_magic(self, magic_name, line, cell) Tensorflow/tensorflow:nightly-p圓-jupyter\n') There are errors as follow: `the input device is not a TTYĬalledProcessError Traceback (most recent call last) Do you mean I should run the following commands in Jupyter Notebook?ĭocker run -it -p 8888:8888 -p 6006:6006 \ Hi Mani, sorry, I'm not clear about your suggestion. ![]() Have you tried the TensorBoard notebook extension described here? The ngrok workflow is not officially supported. That means, I did install ngrok, but still had the errors I showed earlier.Įrror in fact appeared after I run the following command: Saving to: ‘ngrok-stable-linux-amd64.zip’ Sorry, I failed to tell you that I did run the following two commands beforehand.Īnd below is the output after the installation. I had similar issue and it seemed that it had to do with ngrok that I had in assets folder being corrupted or had wrong permissions perhaps? Anyway, I got around it by downloading ngrok and i had it up and running thanks to this guide. The tunnel connection is not set up and therefore no public URL is generated.Ĭan anyone kindly give me some advice as to how to solve it? : Expecting value: line 1 column 1 (char 0)īefore running this code, I had already trained a Tensorflow model and exported it to the directory "OUTDIR". Raise JSONDecodeError("Expecting value", s, err.value) from None Obj, end = self.raw_decode(s, idx=_w(s, 0).end())įile "/usr/lib/python3.5/json/decoder.py", line 357, in raw_decode Parse_constant=parse_constant, object_pairs_hook=object_pairs_hook, **kw)įile "/usr/lib/python3.5/json/init.py", line 319, in loadsįile "/usr/lib/python3.5/json/decoder.py", line 339, in decode "import sys, json print(json.load(sys.stdin))"įile "/usr/lib/python3.5/json/init.py", line 268, in load Get_ipython().system_raw("./assets/ngrok http 6006
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