init

vllm/lora/ops/ipex_ops/lora_ops.py

@@ -0,0 +1,44 @@
+# SPDX-License-Identifier: Apache-2.0
+# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
+
+import torch
+
+from vllm.logger import init_logger
+
+logger = init_logger(__name__)
+
+try:
+    import intel_extension_for_pytorch as ipex
+except ImportError as e:
+    raise e
+
+
+def bgmv_shrink(inputs: torch.Tensor,
+                lora_a_weights: torch.Tensor,
+                output_tensor: torch.Tensor,
+                lora_indices_tensor: torch.Tensor,
+                scaling: float = 1.0) -> None:
+
+    ipex.llm.functional.bgmv_shrink(inputs, lora_a_weights, output_tensor,
+                                    lora_indices_tensor, scaling)
+
+
+def bgmv_expand(inputs: torch.Tensor,
+                lora_b_weights: torch.Tensor,
+                output_tensor: torch.Tensor,
+                lora_indices_tensor: torch.Tensor,
+                add_inputs: bool = True) -> None:
+    ipex.llm.functional.bgmv_expand(inputs, lora_b_weights, output_tensor,
+                                    lora_indices_tensor, add_inputs)
+
+
+def bgmv_expand_slice(inputs: torch.Tensor,
+                      lora_b_weights: torch.Tensor,
+                      output_tensor: torch.Tensor,
+                      lora_indices_tensor: torch.Tensor,
+                      slice_offset: int,
+                      slice_size: int,
+                      add_inputs: bool = True) -> None:
+    ipex.llm.functional.bgmv_expand_slice(inputs, lora_b_weights,
+                                          output_tensor, lora_indices_tensor,
+                                          slice_offset, slice_size, add_inputs)