# Copyright 2021 Huawei Technologies Co., Ltd # # 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_parse_numpy """ import os import shutil import subprocess import numpy as np import mindspore as ms from mindspore import nn from mindspore import context from mindspore import ms_function from mindspore import Tensor from tests.security_utils import security_off_wrap def find_files(file, para): output = subprocess.check_output( ["grep '%s' %s | wc -l" % (para, file)], shell=True) out = str(output, 'utf-8').strip() return out def remove_path(path): if os.path.exists(path): shutil.rmtree(path) @security_off_wrap def test_ms_function(): @ms_function def add(x): return x + 1 context.set_context(mode=context.GRAPH_MODE) context.set_context(save_graphs=True, save_graphs_path="ir_dump_path") input1 = np.random.randn(5, 5) add(Tensor(input1, ms.float32)) result = find_files("./ir_dump_path/*validate*.ir", "test_debug_info.py(45)/ return x + 1/") assert result == '2' remove_path("./ir_dump_path/") @security_off_wrap def test_cell_ms_function(): class Net(nn.Cell): @ms_function def construct(self, x): return x context.set_context(mode=context.GRAPH_MODE) context.set_context(save_graphs=True, save_graphs_path="ir_dump_path") input1 = np.random.randn(5, 5) net = Net() net(Tensor(input1, ms.float32)) result = find_files("./ir_dump_path/*validate*.ir", "test_debug_info.py(62)/ return x/") assert result == '1' remove_path("./ir_dump_path/")