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125 lines
3.4 KiB
125 lines
3.4 KiB
# Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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# TODO: define random api
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import paddle.fluid as fluid
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from paddle.fluid import core
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__all__ = ['seed', 'get_cuda_rng_state', 'set_cuda_rng_state']
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def seed(seed):
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"""
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Sets the seed for global default generator, which manages the random number generation.
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Args:
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seed(int): The random seed to set. It is recommend to set a large int number.
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Returns:
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Generator: The global default generator object.
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Examples:
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.. code-block:: python
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import paddle
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gen = paddle.seed(102)
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"""
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#TODO(zhiqiu): 1. remove program.random_seed when all random-related op upgrade
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# 2. support gpu generator by global device
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seed = int(seed)
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if core.is_compiled_with_cuda():
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for i in range(core.get_cuda_device_count()):
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core.default_cuda_generator(i)._is_init_py = True
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core.default_cuda_generator(i).manual_seed(seed)
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core.default_cpu_generator()._is_init_py = True
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return core.default_cpu_generator().manual_seed(seed)
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def get_cuda_rng_state():
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"""
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Get random state of cuda generators.
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Args:
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None
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Returns:
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GeneratorState: object.
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Examples:
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.. code-block:: python
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import paddle
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sts = paddle.get_cuda_rng_state()
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"""
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state_list = []
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if core.is_compiled_with_cuda():
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for i in range(core.get_cuda_device_count()):
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state_list.append(core.default_cuda_generator(i).get_state())
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return state_list
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def set_cuda_rng_state(state_list):
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"""
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Sets generator state for all cuda generators
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Args:
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state_list(list): The cuda states to set back to cuda generators. state_list is obtained from get_cuda_rng_state().
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Returns:
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None
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Examples:
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.. code-block:: python
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import paddle
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sts = paddle.get_cuda_rng_state()
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paddle.set_cuda_rng_state(sts)
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"""
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if core.is_compiled_with_cuda():
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if not len(state_list) == core.get_cuda_device_count():
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raise ValueError(
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"Length of cuda state list shoule be equal to the cuda device count"
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)
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for i in range(core.get_cuda_device_count()):
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core.default_cuda_generator(i).set_state(state_list[i])
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def _manual_program_seed(seed):
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"""
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Sets global seed for generating random numbers.
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NOTE(zhiqiu): This is the original implemention of seed. Keeps it temporally
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since CUDA generator is not developed, so we need it in the unittest.
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Args:
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seed(int): The random seed to set. It is recommend to set a large int number.
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Returns:
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None
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"""
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fluid.default_main_program().random_seed = seed
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fluid.default_startup_program().random_seed = seed
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program = fluid.Program()
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program.global_seed(seed)
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