未验证 提交 ef7d966a 编写于 作者: K kuizhiqing 提交者: GitHub

add flops compute module (#47595)

上级 5160628c
......@@ -24,6 +24,8 @@ import paddle.fluid.layers as layers
import paddle.fluid.core as core
import paddle.fluid.proto.profiler.profiler_pb2 as profiler_pb2
from paddle.utils.flops import flops
class TestProfiler(unittest.TestCase):
@classmethod
......@@ -221,6 +223,12 @@ class TestProfilerAPIError(unittest.TestCase):
self.assertTrue(global_profiler != prof)
class TestFLOPSAPI(unittest.TestCase):
def test_flops(self):
self.assertTrue(flops('relu', ([12, 12],), output=4) == 144)
self.assertTrue(flops('dropout', ([12, 12],), **{'output': 4}) == 0)
if __name__ == '__main__':
paddle.enable_static()
unittest.main()
# Copyright (c) 2022 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.
from numpy import prod
_FLOPS_COMPUTE_FUNC_MAP = {}
def flops(op_type: str, input_shapes: tuple, **attrs) -> int:
"""
count flops for operation.
Args:
op_type (str): the type of operation.
input_shapes (tuple): the shapes of inputs.
attrs (dict): the attributes of the operation.
Returns:
the total flops of the operation.
"""
if op_type not in _FLOPS_COMPUTE_FUNC_MAP:
return 0
else:
func = _FLOPS_COMPUTE_FUNC_MAP[op_type]
return func(input_shapes, **attrs)
def register_flops(op_type):
"""
register flops computation function for operation.
"""
def register(func):
global _FLOPS_COMPUTE_FUNC_MAP
_FLOPS_COMPUTE_FUNC_MAP[op_type] = func
return func
return register
@register_flops("dropout")
def _dropout_flops(input_shapes, **attrs):
return 0
@register_flops("relu")
def _relu_flops(input_shapes, **attrs):
return prod(input_shapes[0])
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