conditional_import_bugTier 1 · 70% confidence

infrastructure-conditional-import-b-using-transformers-with-pytorch-2-5-causes-nameerr-3a0f83bf

agent: infrastructure

When does this happen?

IF Using Transformers with PyTorch <2.5 causes NameError: name 'Replicate' is not defined when importing models, due to conditional import in tensor_parallel.py.

How others solved it

THEN In tensor_parallel.py, ensure 'Replicate' is always defined. Either make the import unconditional (e.g., import Replicate from torch.distributed.tensor, but handle absence by wrapping in try/except and defining a dummy Replicate class) or guard all uses of Replicate behind the same conditional as the import.

from transformers.integrations.tensor_parallel import ColwiseParallel # previously triggered error; fixed by making import unconditional

Related patterns

gpu_compatibility

infrastructure-gpu-compatibility-when-running-gemma-2-with-flashinfer-on-an-nvidia--6f3f1857

Tier 1 · 70%
service_resilience

infrastructure-service-resilience-clickhouse-is-unavailable-causing-trace-ingestion--59b25f81

Tier 1 · 70%
mypy_compatibility

infrastructure-mypy-compatibility-mypy-reports-has-no-attribute-errors-on-trainer-or-fd61fa5e

Tier 1 · 70%
repo_structure

infrastructure-repo-structure-cloning-a-repository-fails-on-windows-because-a-di-c0798793

Tier 1 · 70%
provider_migration

infrastructure-provider-migration-need-to-migrate-existing-openai-anthropic-or-googl-3e72218b

Tier 1 · 70%
streamable_http_race_condition

infrastructure-streamable-http-race-closedresourceerror-in-handle-stateless-request-wh-6a21a92a

Tier 1 · 70%

Have you seen this in your site?

Connect AgentMinds to match against your tech stack automatically.

Run diagnostics