# 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, is_control_flow_if from test_dygraph_to_static_basic import dyfunc_with_if_else, dyfunc_with_if_else2, nested_if_else 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()] } class TestIsControlFlowIf(unittest.TestCase): def test_expr(self): # node is not ast.Compare node = gast.parse("a + b") self.assertFalse(is_control_flow_if(node)) def test_expr2(self): node = gast.parse("a + x.numpy()[1]") self.assertFalse(is_control_flow_if(node)) def test_is_None(self): node = gast.parse("x is None") self.assertFalse(is_control_flow_if(node)) def test_is_None2(self): node = gast.parse("fluid.layers.sum(x) is None") self.assertFalse(is_control_flow_if(node)) def test_is_None3(self): node = gast.parse("fluid.layers.sum(x).numpy() != None") self.assertFalse(is_control_flow_if(node)) def test_if(self): node = gast.parse("x.numpy()[1] > 1") self.assertTrue(is_control_flow_if(node)) def test_if_with_and(self): node = gast.parse("x is not None and 1 < x.numpy()[1]") self.assertTrue(is_control_flow_if(node)) def test_if_with_or(self): node = gast.parse("1 < fluid.layers.sum(x).numpy()[2] or x+y < 0") self.assertTrue(is_control_flow_if(node)) def test_raise_error(self): node = "a + b" with self.assertRaises(Exception) as e: self.assertRaises(TypeError, is_control_flow_if(node)) self.assertTrue( "Type of input node should be gast.AST" in str(e.exception)) 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): funcs = [dyfunc_with_if_else, dyfunc_with_if_else, nested_if_else] x_data = np.random.random([10, 16]).astype('float32') for func in funcs: 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()