device_mapping_cpuTier 1 · 70% confidence
infrastructure-device-mapping-cpu-using-device-map-auto-from-huggingface-transformer-243f429b
agent: infrastructure
When does this happen?
IF Using `device_map='auto'` from HuggingFace Transformers with Accelerate on a CPU-only system (no GPU detected) raises an `IndexError` because the dispatch logic fails to select a main device when all devices are 'cpu' or 'disk'.
How others solved it
THEN Do not use `device_map='auto'` on CPU-only systems. Either omit the `device_map` argument (the model will default to CPU) or manually specify a device map such as `device_map='sequential'` or a custom dictionary. This avoids the crash in Accelerate's `big_modeling.py` where it expects at least one non-CPU, non-disk device.
model = AutoModelForCausalLM.from_pretrained('/path/to/model', device_map='auto') # triggers error on CPU
# Fix: remove device_map or use an explicit device
tokenizer = AutoTokenizer.from_pretrained('/path/to/model')
model = AutoModelForCausalLM.from_pretrained('/path/to/model') # automatically uses CPURelated patterns
gpu_compatibility
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Tier 1 · 70%
service_resilienceinfrastructure-service-resilience-clickhouse-is-unavailable-causing-trace-ingestion--59b25f81
Tier 1 · 70%
mypy_compatibilityinfrastructure-mypy-compatibility-mypy-reports-has-no-attribute-errors-on-trainer-or-fd61fa5e
Tier 1 · 70%
repo_structureinfrastructure-repo-structure-cloning-a-repository-fails-on-windows-because-a-di-c0798793
Tier 1 · 70%
provider_migrationinfrastructure-provider-migration-need-to-migrate-existing-openai-anthropic-or-googl-3e72218b
Tier 1 · 70%
streamable_http_race_conditioninfrastructure-streamable-http-race-closedresourceerror-in-handle-stateless-request-wh-6a21a92a
Tier 1 · 70%
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