Sync from v0.13

tests/compile/silly_attention.py

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+# SPDX-License-Identifier: Apache-2.0
+# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
+"""
+Shared PyTorch custom silly attention for compilation tests.
+Centralizes custom operation definitions to avoid duplicate registrations.
+"""
+
+import torch
+from torch.library import Library
+
+from vllm.utils.torch_utils import direct_register_custom_op
+
+# Shared library for all compilation test operations
+# Using "silly" namespace to match existing test expectations
+# import this file will automatically register
+# torch ops for testing (like silly.attention)
+silly_lib = Library("silly", "FRAGMENT")
+
+# Global counter that counts the number of times attention is invoked
+_global_counter = 0
+
+
+def get_global_counter():
+    """Get the current global counter value"""
+    return _global_counter
+
+
+def reset_global_counter():
+    """Reset the global counter to 0"""
+    global _global_counter
+    _global_counter = 0
+
+
+def silly_attention(
+    q: torch.Tensor, k: torch.Tensor, v: torch.Tensor, out: torch.Tensor
+) -> None:
+    """
+    Unified attention implementation that depends on
+    all inputs and affects the output.
+    Always increments a global counter that tests can use or ignore.
+    """
+    global _global_counter
+
+    # Always increment the global counter
+    _global_counter += 1
+
+    # Unified implementation that depends on all inputs
+    out.copy_(q + k + v)
+
+
+def silly_attention_fake(
+    q: torch.Tensor, k: torch.Tensor, v: torch.Tensor, out: torch.Tensor
+) -> None:
+    """Fake implementation for testing"""
+    return
+
+
+# Register the unified attention operation
+direct_register_custom_op(
+    op_name="attention",
+    op_func=silly_attention,
+    mutates_args=["out"],
+    fake_impl=silly_attention_fake,
+    target_lib=silly_lib,
+)