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Enable llama-405b - w/a for memory allocation error #184

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merged 3 commits into from
Sep 4, 2024
Merged

Enable llama-405b - w/a for memory allocation error #184

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9bb9437
add hpu synchronization after each layer in llama model
afierka-intel Aug 12, 2024
d85f6df
fix missing parenthesis in is_hpu function
afierka-intel Aug 14, 2024
955b941
Change is_hpu -> current_platform.is_hpu
afierka-intel Sep 3, 2024
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3 changes: 3 additions & 0 deletions vllm/model_executor/models/llama.py
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Original file line number Diff line number Diff line change
Expand Up @@ -48,6 +48,7 @@
from vllm.model_executor.model_loader.weight_utils import (
default_weight_loader, kv_cache_scales_loader, maybe_remap_kv_scale_name)
from vllm.model_executor.sampling_metadata import SamplingMetadata
from vllm.platforms import current_platform
from vllm.sequence import IntermediateTensors, SamplerOutput
from vllm.utils import is_hip

Expand Down Expand Up @@ -511,6 +512,8 @@ def load_weights(self, weights: Iterable[Tuple[str, torch.Tensor]]):
weight_loader = getattr(param, "weight_loader",
default_weight_loader)
weight_loader(param, loaded_weight)
if current_platform.is_hpu():
torch.hpu.synchronize()

# If this function is called, it should always initialize KV cache scale
# factors (or else raise an exception). Thus, handled exceptions should
Expand Down
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