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paddlepaddle--paddle/python/paddle/jit/layer.py
T
2026-07-13 12:40:42 +08:00

51 lines
1.5 KiB
Python

# Copyright (c) 2019 PaddlePaddle Authors. All Rights Reserved.
# Copyright (c) 2021 NVIDIA Corporation. 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.
from paddle.base import core
from paddle.base.core import Load
class Layer:
def __init__(self):
self.cpp_layer = None
# {name: Function}
self.functions = {}
def load(self, load_path, place):
self.cpp_layer = Load(load_path, place)
for name in self.cpp_layer.function_names():
function = self.cpp_layer.function(name)
info = self.cpp_layer.function_info(name)
self.functions[name] = Function(function, info)
setattr(self, name, self.functions[name])
class Function:
def __init__(self, function, info):
self.function = function
self.info = FunctionInfo(info)
def __call__(self, *args):
return core.eager.jit_function_call(self.function, args)
class FunctionInfo:
def __init__(self, info):
self.info = info
def name(self):
return self.info.name()