remove fluid generator module (#50114)

python/paddle/fluid/__init__.py

@@ -101,9 +101,7 @@ from .dygraph.layers import *
 from .dygraph.base import enable_dygraph, disable_dygraph
 from .io import save, load, load_program_state, set_program_state
 from .dygraph.varbase_patch_methods import monkey_patch_varbase
-from . import generator
 from .core import _cuda_synchronize
-from .generator import Generator
 from .trainer_desc import (
     TrainerDesc,
     DistMultiTrainer,
@@ -129,7 +127,6 @@ __all__ = (
     + data_feed_desc.__all__
     + compiler.__all__
     + backward.__all__
-    + generator.__all__
     + [
         'io',
         'initializer',

python/paddle/fluid/generator.py

-#   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.
-"""This is definition of generator class, which is for managing the state of the algorithm that produces pseudo random numbers."""
-
-from . import core
-from .framework import _get_paddle_place
-
-__all__ = ['Generator']
-
-
-class Generator(core.Generator):
-    """Generator class"""
-
-    def __init__(self, place=None):
-        """
-        Create a generator object which manages the random number generation. ( Experimental Feature )
-
-        Parameters:
-            place(CPUPlace|CUDAPinnedPlace|CUDAPlace|str,optional): The place to allocate Tensor. Can be
-                CPUPlace, CUDAPinnedPlace, CUDAPlace. Default: None, means global place. If ``place`` is
-                string, it can be ``cpu`` and ``gpu:x``, where ``x`` is the index of the GPUs.
-
-        Returns:
-            Generator: A generator object.
-
-        """
-        self.place = _get_paddle_place(place)
-        if not place:
-            place = core.CPUPlace()
-        if isinstance(place, core.CPUPlace):
-            super().__init__()
-        else:
-            raise ValueError(
-                "Generator class with %s does is not supported yet, currently only support generator with CPUPlace "
-                % place
-            )

python/paddle/fluid/tests/unittests/test_generator.py

-#   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.
-"""Test cloud role maker."""
-
-import unittest
-
-import paddle
-import paddle.fluid.generator as generator
-
-
-class TestGenerator(unittest.TestCase):
-    """
-    Test cases for cpu generator.
-    """
-
-    def test_basic_generator(self):
-        """Test basic generator."""
-        gen = generator.Generator()
-        gen.manual_seed(123123143)
-        st = gen.get_state()
-        gen.set_state(st)
-        gen.random()
-
-    def test_basic_generator_error(self):
-        if paddle.fluid.core.is_compiled_with_cuda():
-            self.assertRaises(
-                ValueError, generator.Generator, place=paddle.CUDAPlace(0)
-            )
-
-
-if __name__ == "__main__":
-    unittest.main()

python/paddle/fluid/tests/unittests/test_random_seed.py

@@ -20,7 +20,6 @@ import numpy as np
 import paddle
 import paddle.fluid as fluid
 import paddle.fluid.core as core
-import paddle.fluid.generator as generator
 from paddle.tensor import random
 
 
@@ -193,8 +192,6 @@ class TestGeneratorSeed(unittest.TestCase):
 
     def test_generator_randint_dygraph(self):
         """Test Generator seed."""
-        gen = generator.Generator()
-
         fluid.enable_dygraph()
 
         gen = paddle.seed(12312321111)