forked from mindspore-Ecosystem/mindspore
72 lines
2.3 KiB
Python
72 lines
2.3 KiB
Python
# 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 cpu profiler"""
|
|
import os
|
|
import shutil
|
|
import sys
|
|
|
|
import numpy as np
|
|
import pytest
|
|
|
|
import mindspore.context as context
|
|
import mindspore.nn as nn
|
|
from mindspore import Tensor
|
|
from mindspore.ops import operations as P
|
|
from mindspore import Profiler
|
|
from tests.security_utils import security_off_wrap
|
|
|
|
|
|
class Net(nn.Cell):
|
|
def __init__(self):
|
|
super(Net, self).__init__()
|
|
self.add = P.Add()
|
|
|
|
def construct(self, x_, y_):
|
|
return self.add(x_, y_)
|
|
|
|
|
|
@pytest.mark.level0
|
|
@pytest.mark.platform_x86_cpu
|
|
@pytest.mark.env_onecard
|
|
@security_off_wrap
|
|
def test_cpu_profiling():
|
|
if sys.platform != 'linux':
|
|
return
|
|
data_path = os.path.join(os.getcwd(), 'data_cpu_profiler')
|
|
if os.path.isdir(data_path):
|
|
shutil.rmtree(data_path)
|
|
context.set_context(mode=context.GRAPH_MODE, device_target="CPU")
|
|
device_id = context.get_context("device_id")
|
|
profiler = Profiler(output_path="data_cpu_profiler")
|
|
x = np.random.randn(1, 3, 3, 4).astype(np.float32)
|
|
y = np.random.randn(1, 3, 3, 4).astype(np.float32)
|
|
add = Net()
|
|
add(Tensor(x), Tensor(y))
|
|
profiler.analyse()
|
|
|
|
assert os.path.isdir(data_path)
|
|
assert len(os.listdir(data_path)) == 1
|
|
|
|
profiler_dir = os.path.join(data_path, f"{os.listdir(data_path)[0]}/")
|
|
op_detail_file = f"{profiler_dir}cpu_op_detail_info_{device_id}.csv"
|
|
op_type_file = f"{profiler_dir}cpu_op_type_info_{device_id}.csv"
|
|
timeline_file = f"{profiler_dir}cpu_op_execute_timestamp_{device_id}.txt"
|
|
cpu_profiler_files = (op_detail_file, op_type_file, timeline_file)
|
|
for file in cpu_profiler_files:
|
|
assert os.path.isfile(file)
|
|
|
|
if os.path.isdir(data_path):
|
|
shutil.rmtree(data_path)
|