Pattern preview · 12 of 4,089 sample rules shown · site-specific intelligence stays private
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device_mapping
infrastructure-device-mapping-when-using-gemma2-model-with-device-map-auto-on-mu-edbb0c68
IFWhen using Gemma2 model with device_map='auto' on multi-GPU setup, RuntimeError occurs: Expected all tensors to be on the same device, cuda:7 and cuda:0.
THENEnsure input tensors are moved to the correct device. Use model.device or the device of the first model parameter. Alternatively, use Accelerator.prepare(model) to handle device placement automatically.
Tier 170%
device_mapping
infrastructure-device-mapping-when-using-gemma2-with-device-map-auto-on-multi-gp-57330744
IFWhen using Gemma2 with device_map='auto' on multi-GPU systems, moving input_ids to 'cuda' causes RuntimeError: 'Expected all tensors to be on the same device, but found at least two devices'.
THENEither set CUDA_VISIBLE_DEVICES to a single GPU, downgrade transformers to v4.43.4, or use accelerate.prepare(model) with accelerator.device for input_ids placement to ensure tensor-device consistency.
Tier 170%
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