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Your session failed for an unknown reason #4795
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Do you have the precise code block that crashes your runtime? |
Yes shure, this is the code:
***@***.*** **Install Conda Colab**
***@***.*** It will restart the kernel (session), don't worry.
!pip install -q condacolab
import condacolab
condacolab.install()
⏬ Downloading
https://github.com/conda-forge/miniforge/releases/download/23.11.0-0/Mambaforge-23.11.0-0-Linux-x86_64.sh...
📦 Installing... 📌 Adjusting configuration... 🩹 Patching environment... ⏲
Done in 0:00:13 🔁 Restarting kernel...
when the kernel is restarted a message appear: Your session failed for an
unknown reason
…On Thu, Aug 22, 2024 at 10:35 AM cperry-goog ***@***.***> wrote:
Do you have the precise code block that crashes your runtime?
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I also share the app.log file
On Thu, Aug 22, 2024 at 12:10 PM Tonatiu Campos ***@***.***>
wrote:
… Yes shure, this is the code:
***@***.*** **Install Conda Colab**
***@***.*** It will restart the kernel (session), don't worry.
!pip install -q condacolab
import condacolab
condacolab.install()
⏬ Downloading
https://github.com/conda-forge/miniforge/releases/download/23.11.0-0/Mambaforge-23.11.0-0-Linux-x86_64.sh...
📦 Installing... 📌 Adjusting configuration... 🩹 Patching environment... ⏲
Done in 0:00:13 🔁 Restarting kernel...
when the kernel is restarted a message appear: Your session failed for an
unknown reason
On Thu, Aug 22, 2024 at 10:35 AM cperry-goog ***@***.***>
wrote:
> Do you have the precise code block that crashes your runtime?
>
> —
> Reply to this email directly, view it on GitHub
> <#4795 (comment)>,
> or unsubscribe
> <https://github.com/notifications/unsubscribe-auth/BKWYC5W2GUL5DMTE2ONUDITZSYHLTAVCNFSM6AAAAABM6J2ICGVHI2DSMVQWIX3LMV43OSLTON2WKQ3PNVWWK3TUHMZDGMBVGE4DQNJRGI>
> .
> You are receiving this because you authored the thread.Message ID:
> ***@***.***>
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When I run that code, I do see the "Your session failed for an unknown reason" message, but the kernel restarts successfully and I'm able to execute code again. This all seems expected, as condacolab intentionally restarts the kernel after installation. Do you not see the kernel coming back and being able to execute code? |
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Describe the current behavior
I'm tryin to enable my GPU acceleration in phyton3 with a code source but when the kernel is restarted appears the message: Your session failed for an unknown reason...
After this I Check if GPU nodes were correctly allocated and theye were not. After when I run my work it is vwery slow.
Describe the expected behavior
I expected to speed up my work using the Google Colab GPU nodes.
What web browser you are using
Chrome
Additional context
https://colab.research.google.com/gist/TonatiuCG666/4b837868ea99315a369ab5cea000bcbf/copia-de-gromacs_inputs.ipynb
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