test_ast_util.py 4.9 KB
Newer Older
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165
#   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.

from __future__ import print_function

import unittest
import textwrap
import gast
import inspect
import numpy as np
import paddle.fluid as fluid
from paddle.fluid.dygraph.dygraph_to_static.ast_utils import get_name_ids, ast_to_func


class TestGetNameIds(unittest.TestCase):
    """
    Test for parsing the ast.Name list from the ast.Nodes
    """

    def setUp(self):
        self.source = """
          def test_fn(x):
            return x+1
        """
        self.all_name_ids = {'x': [gast.Param()]}

    def test_get_name_ids(self):
        source = textwrap.dedent(self.source)
        root = gast.parse(source)
        all_name_ids = get_name_ids([root])
        self.assertDictEqual(
            self.transfer_dict(self.all_name_ids),
            self.transfer_dict(all_name_ids))

    def transfer_dict(self, name_ids_dict):
        new_dict = {}
        for name, ctxs in name_ids_dict.items():
            new_dict[name] = [type(ctx) for ctx in ctxs]
        return new_dict


class TestGetNameIds2(TestGetNameIds):
    def setUp(self):
        self.source = """
          def test_fn(x, y):
            a = 1
            x = y + a
            if x > y:
               z = x * x
               z = z + a
            else:
               z = y * y
            return z
        """
        self.all_name_ids = {
            'x': [
                gast.Param(), gast.Store(), gast.Load(), gast.Load(),
                gast.Load()
            ],
            'a': [gast.Store(), gast.Load(), gast.Load()],
            'y':
            [gast.Param(), gast.Load(), gast.Load(), gast.Load(), gast.Load()],
            'z': [gast.Store(), gast.Load(), gast.Store(), gast.Store()]
        }


class TestGetNameIds3(TestGetNameIds):
    def setUp(self):
        self.source = """
          def test_fn(x, y):
            z = 1
            if x > y:
               z = x * x
               z = z + y
            return z
        """
        self.all_name_ids = {
            'x': [gast.Param(), gast.Load(), gast.Load(), gast.Load()],
            'y': [gast.Param(), gast.Load(), gast.Load()],
            'z': [gast.Store(), gast.Store(), gast.Load(), gast.Store()]
        }


def dyfunc_with_if_else(x_v):
    if fluid.layers.mean(x_v).numpy()[0] > 5:
        x_v = x_v - 1
    else:
        x_v = x_v + 1
    return x_v


def dyfunc_with_if_else2(x):
    i, j = 0, 0
    if fluid.layers.reduce_mean(x).numpy()[0] > x.numpy()[i][j]:
        y = fluid.layers.relu(x)
    else:
        x_pow = fluid.layers.pow(x, 2)
        y = fluid.layers.tanh(x_pow)
    return y


class TestAST2Func(unittest.TestCase):
    """
    TestCase for the transformation from ast.AST into python callable function.
    """

    def _ast2func(self, func):
        source = inspect.getsource(func)
        source = textwrap.dedent(source)
        ast_root = gast.parse(source)
        transformed_func, _ = ast_to_func(ast_root, func.__name__)
        return transformed_func

    def test_ast2func(self):
        def func(x, y):
            return x + y

        x, y = 10, 20
        self.assertEqual(func(x, y), self._ast2func(func)(x, y))

    def test_ast2func_dygraph(self):
        func = dyfunc_with_if_else
        x_data = np.random.random([10, 16]).astype('float32')
        with fluid.dygraph.guard():
            x_v = fluid.dygraph.to_variable(x_data)
            true_ret = func(x_v).numpy()
            test_ret = self._ast2func(func)(x_v).numpy()
            self.assertTrue((true_ret == test_ret).all())

    def test_ast2func_static(self):
        def func(x):
            y = fluid.layers.relu(x)
            loss = fluid.layers.mean(y)
            return loss

        x_data = np.random.random([10, 16]).astype('float32')
        main_program = fluid.Program()
        with fluid.program_guard(main_program):
            x_v = fluid.layers.assign(x_data)
            true_ret = func(x_v)
            test_ret = self._ast2func(func)(x_v)
            exe = fluid.Executor(fluid.CPUPlace())
            ret = exe.run(main_program, fetch_list=[true_ret, test_ret])
            self.assertTrue((ret[0] == ret[1]).all())

    def test_ast2func_error(self):
        with self.assertRaises(Exception) as e:
            self.assertRaises(TypeError, ast_to_func("x = a + b", 'foo'))
        self.assertTrue("Type of ast_root should be gast.AST or ast.AST" in
                        str(e.exception))


if __name__ == '__main__':
    unittest.main()