Installing Dynet with GPU support using pip failed
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- Dominant language
- C++
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Description
Hi, I'm trying to install the GPU version of Dynet on my machine, but it's failing miserably... I've attached the error log.
I'm using Ubuntu 16.04 and trying to install it into a conda environment.
Any help would be appreciated.
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First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start by reading the attached dynet.txt error log and reproduce the pip installation in the stated Ubuntu 16.04 conda environment. Compare the failure with Dynet's GPU installation path; done means the GPU version installs successfully through pip in that environment.
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Assessment
- Tech stack
- cpp, python
- Domain
- build-system, machine-learning
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100