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Device Type HPU support for torch.generator() API #628

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12 changes: 10 additions & 2 deletions vllm/model_executor/model_loader/weight_utils.py
Original file line number Diff line number Diff line change
Expand Up @@ -615,9 +615,17 @@ def initialize_dummy_weights(
# XLA device does not support torch.Generator()
param.uniform_(low, high)
continue
if current_platform.is_hpu():
import habana_frameworks.torch.hpu.random as htrandom
generator = \
htrandom.default_generators[
0].manual_seed(seed)
else:
generator = torch.Generator(device=device).manual_seed(
seed)
#generator = torch.Generator(device=param.data.device)
#generator.manual_seed(seed)

generator = torch.Generator(device=param.data.device)
generator.manual_seed(seed)
if torch.finfo(param.data.dtype).bits < 16:
# uniform_ doesn't support < 16-bit datatypes (FP8)
dtype = param.data.dtype
Expand Down