mindspore2022/tests/ut/python/pipeline/parse/test_debug_info.py

# 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/")