* feat(build): adjust number of parallel make jobs
* fix: update make on MacOS from brew to support --output-sync argument
* fix: cache grpc with version as part of key to improve validity of cache hits
* fix: use gmake for tests-apple to use the updated GNU make version
* fix: actually use the new make version for tests-apple
* feat: parallelize tests-extra
* feat: attempt to cache grpc build for docker images
* fix: don't quote GRPC version
* fix: don't cache go modules, we have limited cache space, better used elsewhere
* fix: release with the same version of go that we test with
* fix: don't fail on exporting cache layers
* fix: remove deprecated BUILD_GRPC docker arg from Makefile
* feat: group make output by target when running parallelized builds in CI
* fix: quote GO_TAGS in makefile to fix handling of whitespace in value
* fix: set CPATH to find opencv2 in it's commonly installed location
* fix: add missing go mod dropreplace for go-llama.cpp
* chore: remove opencv symlink from github workflows
* test with gguf instead of ggml. Updates testPrompt to match? Adds debugging line to Dockerfile that I've found helpful recently.
* fix testPrompt slightly
* Sad Experiment: Test GH runner without metal?
* break apart CGO_LDFLAGS
* switch runner
* upstream llama.cpp disables Metal on Github CI!
* missed a dir from clean-tests
* CGO_LDFLAGS
* tmate failure + NO_ACCELERATE
* whisper.cpp has a metal fix
* do the exact opposite of the name of this branch, but keep it around for unrelated fixes?
* add back newlines
* add tmate to linux for testing
* update fixtures
* timeout for tmate
* fix: clean up Makefile dependencies to allow for parallel builds
* refactor: remove old unused backend from Makefile
* fix: finish removing legacy backend, update piper
* fix: I broke llama... I fixed llama
* feat: give the tests and builds a few threads
* fix: ensure libraries are replaced before build, add dropreplace target
* Fix image build workflows
* feat(intel): add diffusers support
* try to consume upstream container image
* Debug
* Manually install deps
* Map transformers/hf cache dir to modelpath if not specified
* fix(compel): update initialization, pass by all gRPC options
* fix: add dependencies, implement transformers for xpu
* base it from the oneapi image
* Add pillow
* set threads if specified when launching the API
* Skip conda install if intel
* defaults to non-intel
* ci: add to pipelines
* prepare compel only if enabled
* Skip conda install if intel
* fix cleanup
* Disable compel by default
* Install torch 2.1.0 with Intel
* Skip conda on some setups
* Detect python
* Quiet output
* Do not override system python with conda
* Prefer python3
* Fixups
* exllama2: do not install without conda (overrides pytorch version)
* exllama/exllama2: do not install if not using cuda
* Add missing dataset dependency
* Small fixups, symlink to python, add requirements
* Add neural_speed to the deps
* correctly handle model offloading
* fix: device_map == xpu
* go back at calling python, fixed at dockerfile level
* Exllama2 restricted to only nvidia gpus
* Tokenizer to xpu
