Add minimal vLLM 0.16.1 build repo for BI-V150

vllm/renderers/embed_utils.py

@@ -0,0 +1,44 @@
+# SPDX-License-Identifier: Apache-2.0
+# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
+from io import BytesIO
+from typing import TYPE_CHECKING
+
+import pybase64
+import torch
+
+from vllm.exceptions import VLLMValidationError
+
+if TYPE_CHECKING:
+    from vllm.config import ModelConfig
+
+
+def safe_load_prompt_embeds(
+    model_config: "ModelConfig",
+    embed: bytes,
+) -> torch.Tensor:
+    if not model_config.enable_prompt_embeds:
+        raise VLLMValidationError(
+            "You must set `--enable-prompt-embeds` to input `prompt_embeds`.",
+            parameter="prompt_embeds",
+        )
+
+    # Enable sparse tensor integrity checks to prevent out-of-bounds
+    # writes from maliciously crafted tensors
+    with torch.sparse.check_sparse_tensor_invariants():
+        tensor = torch.load(
+            BytesIO(pybase64.b64decode(embed, validate=True)),
+            weights_only=True,
+            map_location=torch.device("cpu"),
+        )
+        assert isinstance(tensor, torch.Tensor) and tensor.dtype in (
+            torch.float32,
+            torch.bfloat16,
+            torch.float16,
+        )
+        tensor = tensor.to_dense()
+
+    if tensor.dim() > 2:
+        tensor = tensor.squeeze(0)
+        assert tensor.dim() == 2
+
+    return tensor