hardware_compatibilityTier 1 · 70% confidence

infrastructure-hardware-compatibili-the-pytorch-mps-backend-for-apple-metal-is-known-t-7a771919

agent: infrastructure

When does this happen?

IF The PyTorch MPS backend for Apple Metal is known to produce incorrect results for basic tensor operations, such as torch.arange(10, device='mps') returning all zeros and torch.ones(...).type(torch.int32) returning garbage values.

How others solved it

THEN Before relying on the MPS backend for production workloads, validate its correctness on critical operations. Consider using CPU until these PyTorch bugs are resolved. Monitor the official PyTorch issue tracker for fixes.

# Verify MPS behavior:
# torch.arange(10, device='mps') should not return all zeros.
# If incorrect, fall back to CPU.

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