mindspore/tests/st/recompute/test_recompute_with_lazy_in...

141 lines
4.7 KiB
Python

# Copyright 2023 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.
# ============================================================================
import os
import re
import subprocess
import pytest
match_dyn_mem = re.compile(r'Total Static Memory size: (.*?)M', re.S)
def get_max(mem_uses):
max_mem = 0
for i in mem_uses:
max_mem = max(max_mem, int(i))
return max_mem
def run_testcase(testcase_name, expect_memory_usage):
# Clear log file
log_filename = testcase_name + ".log"
if os.path.exists(log_filename):
os.remove(log_filename)
assert not os.path.exists(log_filename)
cmd = f"export GLOG_v=1; export GRAPH_OP_RUN=0; pytest -s test_recompute.py::" + testcase_name + " > " \
+ log_filename + " 2>&1"
subprocess.check_output(cmd, shell=True)
assert os.path.exists(log_filename)
with open(log_filename, "r") as f:
data = f.read()
mem_uses = re.findall(match_dyn_mem, data)
assert len(mem_uses) == 2
max_mem = get_max(mem_uses)
assert max_mem == expect_memory_usage
# Clear log file
os.remove(log_filename)
@pytest.mark.level0
@pytest.mark.platform_x86_ascend_training
@pytest.mark.platform_arm_ascend_training
@pytest.mark.env_onecard
def test_recompute_cell_recompute():
"""
Feature: Recompute with lazy inline.
Description: Each block is set recompute by the cell recompute api.
Expectation: Run successfully and the memory usage is reduced.
"""
run_testcase("test_recompute_block_recompute", 33)
@pytest.mark.level0
@pytest.mark.platform_x86_ascend_training
@pytest.mark.platform_arm_ascend_training
@pytest.mark.env_onecard
def test_recompute_op_recompute1():
"""
Feature: Recompute with lazy inline.
Description: Each block is set recompute by the primitive recompute api.
Expectation: Run successfully and the memory usage is reduced.
"""
run_testcase("test_recompute_op_recompute1", 45)
@pytest.mark.level0
@pytest.mark.platform_x86_ascend_training
@pytest.mark.platform_arm_ascend_training
@pytest.mark.env_onecard
def test_recompute_op_recompute2():
"""
Feature: Recompute with lazy inline.
Description: Each block is set recompute by the primitive recompute api.
Expectation: Run successfully and the memory usage is reduced.
"""
run_testcase("test_recompute_op_recompute2", 19)
@pytest.mark.level0
@pytest.mark.platform_x86_ascend_training
@pytest.mark.platform_arm_ascend_training
@pytest.mark.env_onecard
def test_recompute_cell_and_op_recompute1():
"""
Feature: Recompute with lazy inline.
Description: Each block is set recompute by both the primitive and cell recompute api.
Expectation: Run successfully and the memory usage is reduced.
"""
run_testcase("test_recompute_cell_and_op_recompute1", 45)
@pytest.mark.level0
@pytest.mark.platform_x86_ascend_training
@pytest.mark.platform_arm_ascend_training
@pytest.mark.env_onecard
def test_recompute_cell_and_op_recompute2():
"""
Feature: Recompute with lazy inline.
Description: Each block is set recompute by both the primitive and cell recompute api.
Expectation: Run successfully and the memory usage is reduced.
"""
run_testcase("test_recompute_cell_and_op_recompute2", 51)
@pytest.mark.level0
@pytest.mark.platform_x86_ascend_training
@pytest.mark.platform_arm_ascend_training
@pytest.mark.env_onecard
def test_recompute_cell_and_op_recompute_with_tuple_outputs1():
"""
Feature: Recompute with lazy inline.
Description: Each block is set recompute by both the primitive and cell recompute api and return a tuple.
Expectation: Run successfully and the memory usage is reduced.
"""
run_testcase("test_recompute_cell_and_op_recompute_with_tuple_outputs1", 53)
@pytest.mark.level0
@pytest.mark.platform_x86_ascend_training
@pytest.mark.platform_arm_ascend_training
@pytest.mark.env_onecard
def test_recompute_cell_and_op_recompute_with_tuple_outputs2():
"""
Feature: Recompute with lazy inline.
Description: Each block is set recompute by both the primitive and cell recompute api and return a tuple.
Expectation: Run successfully and the memory usage is reduced.
"""
run_testcase("test_recompute_cell_and_op_recompute_with_tuple_outputs2", 53)