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7 changes: 0 additions & 7 deletions tpu_inference/layers/vllm/sharding.py
Original file line number Diff line number Diff line change
Expand Up @@ -102,22 +102,15 @@ def _shard_base_linear_lora(layer: BaseLinearLayerWithLoRA,
# NOTE: lora_a_stacked[i] has shape [max_loras, 1, num_out, num_in]
sharded_lora_a_tpu = torch.nn.ParameterList()
sharded_lora_b_tpu = torch.nn.ParameterList()
sharded_lora_bias_tpu = torch.nn.ParameterList()

for i in range(layer.n_slices):
sharded_lora_a_tpu.append(
_shard_tensor_to_tpu_replicated(layer.lora_a_stacked[i], mesh))
sharded_lora_b_tpu.append(
_shard_tensor_to_tpu_replicated(layer.lora_b_stacked[i], mesh))
if layer.lora_bias_stacked is not None:
sharded_lora_bias_tpu.append(
_shard_tensor_to_tpu_replicated(layer.lora_bias_stacked[i],
mesh))

layer.lora_a_stacked = sharded_lora_a_tpu
layer.lora_b_stacked = sharded_lora_b_tpu
if layer.lora_bias_stacked is not None:
layer.lora_bias_stacked = sharded_lora_bias_tpu


# TODO: Add custom sharding logic for following lora layers
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4 changes: 1 addition & 3 deletions tpu_inference/models/vllm/vllm_model_wrapper.py
Original file line number Diff line number Diff line change
Expand Up @@ -255,11 +255,9 @@ def _tpu_set_lora(
lora_a: torch.Tensor,
lora_b: torch.Tensor,
embeddings_tensor: Optional[torch.Tensor],
bias: Optional[torch.Tensor] = None,
):
with torchax.default_env():
self._original_set_lora(index, lora_a, lora_b, embeddings_tensor,
bias)
self._original_set_lora(index, lora_a, lora_b, embeddings_tensor)

def _tpu_reset_lora(self, index: int):
with torchax.default_env():
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