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random.py
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130 lines (91 loc) · 3.41 KB
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# Copyright (c) 2020 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.
# TODO: define random api
import paddle.fluid as fluid
from paddle.fluid import core
__all__ = []
def seed(seed):
"""
Sets the seed for global default generator, which manages the random number generation.
Args:
seed(int): The random seed to set. It is recommend to set a large int number.
Returns:
Generator: The global default generator object.
Examples:
.. code-block:: python
import paddle
gen = paddle.seed(102)
"""
#TODO(zhiqiu): 1. remove program.random_seed when all random-related op upgrade
# 2. support gpu generator by global device
seed = int(seed)
if core.is_compiled_with_cuda():
for i in range(core.get_cuda_device_count()):
core.default_cuda_generator(i).manual_seed(seed)
return core.default_cpu_generator().manual_seed(seed)
def get_cuda_rng_state():
"""
Get random state of cuda generators.
Args:
None.
Returns:
GeneratorState: object.
Examples:
.. code-block:: python
import paddle
sts = paddle.get_cuda_rng_state()
"""
state_list = []
if core.is_compiled_with_cuda():
for i in range(core.get_cuda_device_count()):
state_list.append(core.default_cuda_generator(i).get_state())
return state_list
def set_cuda_rng_state(state_list):
"""
Sets generator state for all cuda generators.
Args:
state_list(list|tuple): The cuda states to set back to cuda generators. state_list is obtained from get_cuda_rng_state().
Returns:
None.
Examples:
.. code-block:: python
import paddle
sts = paddle.get_cuda_rng_state()
paddle.set_cuda_rng_state(sts)
"""
if core.is_compiled_with_cuda():
if not len(state_list) == core.get_cuda_device_count():
raise ValueError(
"Length of cuda state list shoule be equal to the cuda device count"
)
for i in range(core.get_cuda_device_count()):
core.default_cuda_generator(i).set_state(state_list[i])
def _manual_program_seed(seed):
"""
Sets global seed for generating random numbers.
NOTE(zhiqiu): This is the original implemention of seed. Keeps it temporally
since CUDA generator is not developed, so we need it in the unittest.
Args:
seed(int): The random seed to set. It is recommend to set a large int number.
Returns:
None
"""
fluid.default_main_program().random_seed = seed
fluid.default_startup_program().random_seed = seed
program = fluid.Program()
program.global_seed(seed)
def set_random_seed_generator(name, seed):
core.set_random_seed_generator(name, seed)
def get_random_seed_generator(name):
return core.get_random_seed_generator(name)