feat(intel): add diffusers/transformers support (#1746)

* 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

backend/python/exllama/install.sh

@@ -3,6 +3,11 @@ set -ex
 
 export PATH=$PATH:/opt/conda/bin
 
+if [ "$BUILD_TYPE" != "cublas" ]; then
+    echo "[exllama] Attention!!! Nvidia GPU is required - skipping installation"
+    exit 0
+fi
+
 # Check if environment exist
 conda_env_exists(){
     ! conda list --name "${@}" >/dev/null 2>/dev/null