Get the multinode pipeline-parallel prompt loop actually running locally by supporting both tinygrad LLM backends and switching the Docker scenario to direct addressing.
- tinygrad_worker.py (load_pipeline_stage_model): try the modern tinygrad.llm gguf/model modules first and fall back to the legacy tinygrad.apps.llm TransformerBlock on ModuleNotFoundError, with PipelineStageTinygradModel constructing blocks positionally when no TransformerConfig exists
- tinygrad_worker.py (load_weights): drop the Transformer.from_gguf whole-model branch and its TinygradAppsLlmPartialStageUnsupported fatal, so partial pipeline stages build through load_pipeline_stage_model on either backend
- xtask (MultinodeDocker): stop forcing --relay-mode default --endpoint-addr-mask relay-only, so the scenario runs over the Docker network with full/direct addresses
- xtask (dump-log facts): rename relay_masked_* facts to docker_*, assert multiple workers join the coordinator via direct addresses (direct_addr_count > 0), and relax the benchmark report to skip the ensure_worker_binary span for the Docker scenario
Signed-off-by: Zachery Aaron Shores-Chmielewski <zacheryasc@gmail.com>
Zachery Aaron Shores-Chmielewski
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