Signed-off-by: yuanwu <yuan.wu@intel.com>

* chore(neuron): bump version to 0.2.0

* refactor(neuron): use named parameters in inputs helpers

This allows to hide the differences between the two backends in terms of
input parameters.

* refactor(neuron): remove obsolete code paths

* fix(neuron): use neuron_config whenever possible

* fix(neuron): use new cache import path

* fix(neuron): neuron config is not stored in config anymore

* fix(nxd): adapt model retrieval to new APIs

* fix(generator): emulate greedy in sampling parameters

When on-device sampling is enabled, we need to emulate the greedy
behaviour using top-k=1, top-p=1, temperature=1.

* test(neuron): update models and expectations

* feat(neuron): support on-device sampling

* fix(neuron): adapt entrypoint

* tests(neuron): remove obsolete models

* fix(neuron): adjust test expectations for llama on nxd

Signed-off-by: Wang, Yi A <yi.a.wang@intel.com>

Signed-off-by: Wang, Yi A <yi.a.wang@intel.com>

Signed-off-by: yuanwu <yuan.wu@intel.com>

Signed-off-by: yuanwu <yuan.wu@intel.com>

Signed-off-by: Wang, Yi A <yi.a.wang@intel.com>

Signed-off-by: yuanwu <yuan.wu@intel.com>

Signed-off-by: yuanwu <yuan.wu@intel.com>

Signed-off-by: Wang, Yi A <yi.a.wang@intel.com>

* Refine logging for Gaudi warmup

* Make style

* Make style 2

* Flash causal LM case

* Add log_master & VLM cases

* Black