Python Tensorboard can't open after VSCode's update

Type: Bug

Behaviour

Expected vs. Actual

When I want to launch Tensorboard Session, I can’t open and get this: We failed to start a TensorBoard session due to the following error: Command failed: conda activate dynavoxel && echo ‘e8b39361-0157-4923-80e1-22d70d46dee6’ && python /data-2/yuxingyuan/.vscode-server/extensions/ms-python.python-2022.16.0/pythonFiles/printEnvVariables.py CommandNotFoundError: Your shell has not been properly configured to use ‘conda activate’. To initialize your shell, run $ conda init <SHELL_NAME> Currently supported shells are: - bash - fish - tcsh - xonsh - zsh - powershell See ‘conda init --help’ for more information and options. IMPORTANT: You may need to close and restart your shell after running ‘conda init’.

In the last version of VSCode, the problem is not existed.

Steps to reproduce:

You may try a python project with “import tensorboardX”, when you click it to open the session you may have the problem.

Diagnostic data

• Python version (& distribution if applicable, e.g. Anaconda): 3.10.4
• Type of virtual environment used (e.g. conda, venv, virtualenv, etc.): Conda
• Value of the python.languageServer setting: Default

Output for Python in the Output panel (View→Output, change the drop-down the upper-right of the Output panel to Python)

XXX

User Settings

languageServer: "Pylance"

Extension version: 2022.16.0 VS Code version: Code 1.72.0 (64bbfbf67ada9953918d72e1df2f4d8e537d340e, 2022-10-04T23:20:39.912Z) OS version: Windows_NT x64 10.0.19044 Modes: Sandboxed: No Remote OS version: Linux x64 4.18.0-15-generic

System Info

Item	Value
CPUs	11th Gen Intel® Core™ i7-11800H @ 2.30GHz (16 x 2304)
GPU Status	2d_canvas: enabled canvas_oop_rasterization: disabled_off direct_rendering_display_compositor: disabled_off_ok gpu_compositing: enabled multiple_raster_threads: enabled_on opengl: enabled_on rasterization: enabled raw_draw: disabled_off_ok skia_renderer: enabled_on video_decode: enabled video_encode: enabled vulkan: disabled_off webgl: enabled webgl2: enabled webgpu: disabled_off
Load (avg)	undefined
Memory (System)	15.71GB (6.91GB free)
Process Argv	–folder-uri vscode-remote://ssh-remote%2B7b22686f73744e616d65223a225a4a552d6376672d3330393063227d/mnt/nas_8/group/yuxingyuan/VoxMan --crash-reporter-id c5f83874-9301-48be-a9a1-7b20fc0343c3
Screen Reader	no
VM	0%

Item	Value
Remote	SSH: ZJU-cvg-3090c
OS	Linux x64 4.18.0-15-generic
CPUs	Intel® Xeon® Silver 4114 CPU @ 2.20GHz (40 x 2360)
Memory (System)	251.58GB (209.50GB free)
VM	0%

A/B Experiments

vsliv368:30146709
vsreu685:30147344
python383cf:30185419
vspor879:30202332
vspor708:30202333
vspor363:30204092
vslsvsres303:30308271
pythonvspyl392:30443607
vserr242cf:30382550
pythontb:30283811
vsjup518:30340749
pythonptprofiler:30281270
vshan820:30294714
vstes263:30335439
pythondataviewer:30285071
vscod805:30301674
binariesv615:30325510
bridge0708:30335490
bridge0723:30353136
cmake_vspar411:30581797
vsaa593cf:30376535
pythonvs932:30410667
cppdebug:30492333
vsclangdf:30486550
c4g48928:30535728
dsvsc012:30540252
azure-dev_surveyone:30548225
2144e591:30553903
pyindex848:30577860
fc301958:30573243

[jhliu17]

Meet the same error after updating to v2022.16.0. Downgrade the python extension to v2022.14.0 can solve this problem.

[maxwellzh]

Same issue here. This happens just after the latest update of vscode (to 1.72.0). Reproducing steps:

1. cmd + shift + p
2. select python: launch tensorboard

The error is

We failed to start a TensorBoard session due to the following error: Command failed: conda activate env_name && echo 'e8b39361-0157-4923-80e1-22d70d46dee6' && python /home/xxx/.vscode-server/extensions/ms-python.python-2022.16.0/pythonFiles/printEnvVariables.py CommandNotFoundError: Your shell has not been properly configured to use 'conda activate'. To initialize your shell, run $ conda init <SHELL_NAME> Currently supported shells are: - bash - fish - tcsh - xonsh - zsh - powershell See 'conda init --help' for more information and options. IMPORTANT: You may need to close and restart your shell after running 'conda init'.

But I could run conda activate env_name in my shell command.