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fix backward error in DDP when running reward model finetune in RLHF #507

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Jan 8, 2024
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fix backward error in DDP when running reward model finetune in RLHF
Signed-off-by: Wang, Yi A <yi.a.wang@intel.com>
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sywangyi committed Jan 8, 2024
commit 361b25272de9667649ed717b2ddda03d863122bc
Original file line number Diff line number Diff line change
Expand Up @@ -599,6 +599,9 @@ def prepare_inputs_for_generation(

def apply_customized_rope(q, k, cos, sin, position_ids):
if q.device.type == "hpu" and FusedRoPE:
return FusedRoPE.apply(q, cos, sin, position_ids), FusedRoPE.apply(k, cos, sin, position_ids)
# TODO: remove `.clone()` when SynapseAI v1.15 is released
return FusedRoPE.apply(q, cos.clone(), sin.clone(), position_ids), FusedRoPE.apply(
k, cos.clone(), sin.clone(), position_ids
)
else:
return apply_rotary_pos_emb(q, k, cos, sin, position_ids)
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