* Create publish-docker-images.yaml
* Add copilot_proxy publishing
* Add model_converter publishing
* Use dockerhub version
* Do not login for PRs
* Overwrite some of labels value
* Move ignore files to the root of `context`
* Add comments & fix some issue
* Fix typos
* Remove the target of the master branch
* Delete .dockerignore
* Delete .dockerignore
* Add Flake8
* Add Flake8 and format code accordingly
* Iterate on the PR template, fix the token for the contributor action
* Remove converter image build
* Update Dockerfile of proxy
* Comment out proxy image in compose
Co-authored-by: Fred de Gier <freddegier@me.com>
* Fix build action
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Co-authored-by: Rowe Wilson Frederisk Holme <frederisk@outlook.com>
- Add validation rule to ensure is set to fastertransformer or python-backend
- Add warning if model is unavailable, likely the user has not set correctly
Signed-off-by: Parth Thakkar <thakkarparth007@gmail.com>
* Basic action that runs pytest
* fix indentation
* debugging actions :(
* pull the images in a separate step so it doesn't take so long to build
* Split out the container build
* Another try, fixing missing env vars
I'd been using dlpack for copying triton tensors to torch tensors,
which I did because it was advertised to perform zero copy transfers.
Turns out that only worked on my laptop, and didn't work on other machines.
IDK why. But for now, I'm just copying the tensors as triton<->numpy<->torch.
That works on the VM on which earlier code was segfaulting
Signed-off-by: Parth <thakkarparth007@gmail.com>
