Files
FastDeploy/fastdeploy/import_ops.py
2025-07-22 14:06:01 +08:00

114 lines
4.1 KiB
Python

# Copyright (c) 2024 PaddlePaddle Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""import ops"""
import functools
import importlib
import inspect
import paddle
from fastdeploy.utils import llm_logger as logger
def import_custom_ops(package, module_name, global_ns):
"""
Imports custom operations from a specified module within a package and adds them to a global namespace.
Args:
package (str): The name of the package containing the module.
module_name (str): The name of the module within the package.
global_ns (dict): The global namespace to add the imported functions to.
"""
try:
module = importlib.import_module(module_name, package=package)
functions = inspect.getmembers(module)
for func_name, func in functions:
if func_name.startswith("__") or func_name == "_C_ops":
continue
logger.debug(f"Import {func_name} from {package}")
try:
global_ns[func_name] = func
except Exception as e:
logger.warning(f"Failed to import op {func_name}: {e}")
except Exception:
logger.warning(f"Ops of {package} import failed, it may be not compiled.")
preprocess_static_op(global_ns)
def rename_imported_op(old_name, new_name, global_ns):
"""
Renames an imported operation in the global namespace.
Args:
old_name (str): The original name of the operation in the global namespace.
new_name (str): The new name to be given to the operation.
global_ns (dict): The global namespace where the operation is stored.
"""
if old_name not in global_ns:
return
global_ns[new_name] = global_ns[old_name]
del global_ns[old_name]
def wrap_unified_op(original_cpp_ext_op, original_custom_op):
"""
Wrap a static operator into a unified operator with runtime dispatching.
Args:
original_cpp_ext_op: Original C++ extension operator function.
original_custom_op: Original custom operator function.
"""
try:
@paddle.jit.marker.unified
@functools.wraps(original_custom_op)
def unified_op(*args, **kwargs):
if paddle.in_dynamic_mode():
res = original_cpp_ext_op(*args, **kwargs)
if res is None:
return None
# TODO(DrRyanHuang): Remove this if when we align the implementation of custom op and C++ extension
if isinstance(res, list) and len(res) == 1:
return res[0]
return res
return original_custom_op(*args, **kwargs)
except:
unified_op = None
logger.warning("Paddle version not support JIT mode.")
return unified_op
def preprocess_static_op(global_ns):
"""
Transforms operator/function references in the global namespace based on the presence of 'static_op_' prefixes.
Args:
global_ns (dict): The global namespace (typically globals()) to modify.
flag (bool): Determines transformation behavior.
"""
static_op_prefix = "static_op_"
static_op_names = [k for k in global_ns if k.startswith(static_op_prefix)]
for static_op_name in static_op_names:
op_name = static_op_name.removeprefix(static_op_prefix)
if op_name not in global_ns:
global_ns[op_name] = global_ns[static_op_name]
continue
original_cpp_ext_op = global_ns[op_name]
original_custom_op = global_ns[static_op_name]
global_ns[op_name] = wrap_unified_op(original_cpp_ext_op, original_custom_op)