Add API 'fluid.requird_version(min_version, max_version=None)' to check if the installed PaddlePaddle version is satisfied, test=develop (#20263)

添加API：fluid.version_required(min_version, max_version=None)，用于检查已安装的PaddlePaddle版本是否符合要求
无返回值，如果已安装的版本不在区间[min_version, max_version]，则抛出异常。
例：安装的版本为1.6.0，调用：fluid.require_version('1.5.0', '1.5.1')，则抛出异常：
Exception: VersionError: PaddlePaddle version in [1.5.0, 1.5.1] required, but 1.6.0 installed.

paddle/fluid/API.spec

@@ -27,6 +27,7 @@ paddle.fluid.Variable.numpy (ArgSpec(args=['self'], varargs=None, keywords=None,
 paddle.fluid.Variable.set_value (ArgSpec(args=['self', 'value'], varargs=None, keywords=None, defaults=None), ('document', '69deb77a9dedc61f7b731a6a7709fa5b'))
 paddle.fluid.Variable.to_string (ArgSpec(args=['self', 'throw_on_error', 'with_details'], varargs=None, keywords=None, defaults=(False,)), ('document', '65cd237e2d30c12e412c9cafbbd00791'))
 paddle.fluid.load_op_library (ArgSpec(args=['lib_filename'], varargs=None, keywords=None, defaults=None), ('document', 'c009b2ea5fb6520f2d2f53aafec788e0'))
+paddle.fluid.require_version (ArgSpec(args=['min_version', 'max_version'], varargs=None, keywords=None, defaults=(None,)), ('document', '5d8f572d72b582afc085bf307284be93'))
 paddle.fluid.Executor ('paddle.fluid.executor.Executor', ('document', '4d963107d87438b5add4a5288855bd04'))
 paddle.fluid.Executor.__init__ (ArgSpec(args=['self', 'place'], varargs=None, keywords=None, defaults=None), ('document', '6adf97f83acf6453d4a6a4b1070f3754'))
 paddle.fluid.Executor.close (ArgSpec(args=['self'], varargs=None, keywords=None, defaults=None), ('document', '90b3268b71a8aceedd0dc9e311921d15'))

python/paddle/fluid/framework.py

@@ -34,6 +34,8 @@ from .proto import framework_pb2
 
 from . import core
 from . import unique_name
+import paddle.version as fluid_version
+import warnings
 
 __all__ = [
     'Program',
@@ -48,6 +50,7 @@ __all__ = [
     'is_compiled_with_cuda',
     'Variable',
     'load_op_library',
+    'require_version',
 ]
 
 EMPTY_VAR_NAME = core.kEmptyVarName()
@@ -60,6 +63,113 @@ _dygraph_tracer_ = None
 _dygraph_current_expected_place_ = None
 
 
+def require_version(min_version, max_version=None):
+    """
+        Check if the installed version of PaddlePaddle is in [min_version, max_version],
+        if the installed version is lower than ``min_version`` or higher than ``max_version``,
+        an exception will be thrown, NO returns if the installed version is satisfied.
+
+        Args:
+            min_version (str): the minimum version required (like '1.4.0').
+            max_version (str, optional): the max version required (like '1.6.0'), default is None,
+                meaning any version equal or higher than ``min_version`` is acceptable.
+
+        Returns:
+            None.
+
+        Raises:
+            TypeError: if the type of ``min_version`` is not str.
+            TypeError: if the type of ``max_version`` is not str or type(None).
+            ValueError: if the value of ``min_version`` is not in version format.
+            ValueError: if the value of ``max_version`` is not in version format or None.
+            Exception: if the installed version is lower than ``min_version`` or higher than ``max_version``.
+
+        Examples:
+            .. code-block:: python
+
+                import paddle.fluid as fluid
+
+                # any version >= 0.1.0 is acceptable.
+                fluid.require_version('0.1.0')
+
+                # if 0.1.0 <= version <= 10.0.0, it is acceptable.
+                fluid.require_version(min_version='0.1.0', max_version='10.0.0')
+        """
+    if not isinstance(min_version, str):
+        raise TypeError(
+            "The type of 'min_version' in require_version must be str, but received %s."
+            % (type(min_version)))
+
+    if not isinstance(max_version, (str, type(None))):
+        raise TypeError(
+            "The type of 'max_version' in require_version must be str or type(None), but received %s."
+            % (type(max_version)))
+
+    check_format = re.match(r'\d+(\.\d+){0,3}', min_version)
+    if check_format is None or check_format.group() != min_version:
+        raise ValueError(
+            "The value of 'min_version' in require_version must be in format '\\d+(\\.\\d+){0,3}', "
+            "like '1.5.2.0', but received %s" % min_version)
+
+    if max_version is not None:
+        check_format = re.match(r'\d+(\.\d+){0,3}', max_version)
+        if check_format is None or check_format.group() != max_version:
+            raise ValueError(
+                "The value of 'max_version' in require_version must be in format '\\d+(\\.\\d+){0,3}', "
+                "like '1.5.2.0', but received %s" % max_version)
+
+    version_installed = [
+        fluid_version.major, fluid_version.minor, fluid_version.patch,
+        fluid_version.rc
+    ]
+    zero_version = ['0', '0', '0', '0']
+
+    def version_cmp(ver_a, ver_b):
+        for i in six.moves.range(len(ver_a)):
+            if int(ver_a[i]) > int(ver_b[i]):
+                return 1
+            elif int(ver_a[i]) < int(ver_b[i]):
+                return -1
+        return 0
+
+    if version_cmp(version_installed, zero_version) == 0:
+        if max_version is not None:
+            warnings.warn(
+                "PaddlePaddle version in [%s, %s] required, but %s installed. "
+                "Maybe you are using a develop version, "
+                "please make sure the version is good with your code." %
+                (min_version, max_version, fluid_version.full_version))
+        else:
+            warnings.warn(
+                "PaddlePaddle version %s or higher is required, but %s installed, "
+                "Maybe you are using a develop version, "
+                "please make sure the version is good with your code." %
+                (min_version, fluid_version.full_version))
+        return
+
+    min_version_split = min_version.split('.')
+    min_version_to_check = min_version_split + zero_version[len(
+        min_version_split):]
+
+    if max_version is not None:
+        max_version_split = max_version.split('.')
+        max_version_to_check = max_version_split + zero_version[len(
+            max_version_split):]
+
+        if version_cmp(version_installed,
+                       max_version_to_check) > 0 or version_cmp(
+                           version_installed, min_version_to_check) < 0:
+            raise Exception(
+                "VersionError: PaddlePaddle version in [%s, %s] required, but %s installed."
+                % (min_version, max_version, fluid_version.full_version))
+    else:
+        if version_cmp(version_installed, min_version_to_check) < 0:
+            raise Exception(
+                "VersionError: PaddlePaddle version %s or higher is required, but %s installed, "
+                "please upgrade your PaddlePaddle to %s or other higher version."
+                % (min_version, fluid_version.full_version, min_version))
+
+
 def in_dygraph_mode():
     """
     This function checks whether the program runs in dynamic graph mode or not.

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

@@ -0,0 +1,141 @@
+# Copyright (c) 2019 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 __future__ import print_function
+
+import unittest
+import paddle.fluid as fluid
+import paddle.version as fluid_version
+import warnings
+import paddle
+
+
+class VersionTest(unittest.TestCase):
+    def test_check_output(self):
+        warnings.warn(
+            "paddle.__version__: %s, fluid_version.full_version: %s, fluid_version.major: %s, fluid_version.minor: %s, fluid_version.patch: %s, fluid_version.rc: %s."
+            % (paddle.__version__, fluid_version.full_version,
+               fluid_version.major, fluid_version.minor, fluid_version.patch,
+               fluid_version.rc))
+        ori_full_version = fluid_version.full_version
+        ori_sep_version = [
+            fluid_version.major, fluid_version.minor, fluid_version.patch,
+            fluid_version.rc
+        ]
+        [
+            fluid_version.major, fluid_version.minor, fluid_version.patch,
+            fluid_version.rc
+        ] = ['1', '4', '1', '0']
+
+        fluid.require_version('1')
+        fluid.require_version('1.4')
+        fluid.require_version('1.4.1.0')
+
+        # any version >= 1.4.1 is acceptable.
+        fluid.require_version('1.4.1')
+
+        # if 1.4.1 <= version <= 1.6.0, it is acceptable.
+        fluid.require_version(min_version='1.4.1', max_version='1.6.0')
+
+        # only version 1.4.1 is acceptable.
+        fluid.require_version(min_version='1.4.1', max_version='1.4.1')
+
+        # if installed version is 0.0.0.0, throw warning and skip the checking.
+        [
+            fluid_version.major, fluid_version.minor, fluid_version.patch,
+            fluid_version.rc
+        ] = ['0', '0', '0', '0']
+        fluid.require_version('0.0.0')
+
+        fluid_version.full_version = ori_full_version
+        [
+            fluid_version.major, fluid_version.minor, fluid_version.patch,
+            fluid_version.rc
+        ] = ori_sep_version
+
+
+# Test Errors
+class TestErrors(unittest.TestCase):
+    def test_errors(self):
+        # The type of params must be str.
+        def test_input_type():
+            fluid.require_version(100)
+
+        self.assertRaises(TypeError, test_input_type)
+
+        def test_input_type_1():
+            fluid.require_version('0', 200)
+
+        self.assertRaises(TypeError, test_input_type_1)
+
+        # The value of params must be in format '\d+(\.\d+){0,3}', like '1.5.2.0', '1.6' ...
+        def test_input_value_1():
+            fluid.require_version('string')
+
+        self.assertRaises(ValueError, test_input_value_1)
+
+        def test_input_value_1_1():
+            fluid.require_version('1.5', 'string')
+
+        self.assertRaises(ValueError, test_input_value_1_1)
+
+        def test_input_value_2():
+            fluid.require_version('1.5.2.0.0')
+
+        self.assertRaises(ValueError, test_input_value_2)
+
+        def test_input_value_2_1():
+            fluid.require_version('1.5', '1.5.2.0.0')
+
+        self.assertRaises(ValueError, test_input_value_2_1)
+
+        def test_input_value_3():
+            fluid.require_version('1.5.2a.0')
+
+        self.assertRaises(ValueError, test_input_value_3)
+
+        # The installed version must be equal or greater than the required version.
+        def test_version():
+            fluid.require_version('100')
+
+        # The installed version must be in [min_version, max_version]
+        def test_version_1():
+            fluid.require_version('0.0.0', '1.4')
+
+        def test_version_2():
+            fluid.require_version('1.4.0', '1.2')
+
+        ori_full_version = fluid_version.full_version
+        ori_sep_version = [
+            fluid_version.major, fluid_version.minor, fluid_version.patch,
+            fluid_version.rc
+        ]
+        [
+            fluid_version.major, fluid_version.minor, fluid_version.patch,
+            fluid_version.rc
+        ] = ['1', '4', '1', '0']
+
+        self.assertRaises(Exception, test_version)
+        self.assertRaises(Exception, test_version_1)
+        self.assertRaises(Exception, test_version_2)
+
+        fluid_version.full_version = ori_full_version
+        [
+            fluid_version.major, fluid_version.minor, fluid_version.patch,
+            fluid_version.rc
+        ] = ori_sep_version
+
+
+if __name__ == "__main__":
+    unittest.main()