wehub-resource-sync
390 lines
9.8 KiB
Python
390 lines
9.8 KiB
Python
# Copyright (c) 2024 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.
|
|
|
|
import unittest
|
|
|
|
from paddle import base, static
|
|
from paddle.distributed.passes import PassContext, new_pass
|
|
|
|
|
|
class TestPIR1F1BPlan(unittest.TestCase):
|
|
def test_standalone_executor_1f1b_plan_stage0(self):
|
|
base.set_flags({'FLAGS_enable_pir_api': 1})
|
|
config = {"num_micro_batches": 8, "pp_stage": 0, "pp_degree": 4}
|
|
pass_context = PassContext()
|
|
|
|
startup_program = static.Program()
|
|
main_program = static.Program()
|
|
|
|
pipeline_1f1b_pass = new_pass("pipeline_scheduler_1F1B", config)
|
|
pipeline_1f1b_pass.apply(
|
|
[main_program], [startup_program], pass_context
|
|
)
|
|
plan = pass_context.get_attr("plan")
|
|
job_type_list = []
|
|
micro_batch_id_list = []
|
|
for job in plan.job_list():
|
|
job_type_list.append(job.type())
|
|
micro_batch_id_list.append(job.micro_batch_id())
|
|
expect_job_type_list = [
|
|
"recv_forward",
|
|
"forward",
|
|
"recv_forward",
|
|
"forward",
|
|
"recv_forward",
|
|
"forward",
|
|
"recv_forward",
|
|
"forward",
|
|
"backward",
|
|
"recv_forward",
|
|
"send_backward",
|
|
"forward",
|
|
"backward",
|
|
"recv_forward",
|
|
"send_backward",
|
|
"forward",
|
|
"backward",
|
|
"recv_forward",
|
|
"send_backward",
|
|
"forward",
|
|
"backward",
|
|
"recv_forward",
|
|
"send_backward",
|
|
"forward",
|
|
"backward",
|
|
"send_backward",
|
|
"backward",
|
|
"send_backward",
|
|
"backward",
|
|
"send_backward",
|
|
"backward",
|
|
"send_backward",
|
|
"optimizer",
|
|
]
|
|
expect_micro_batch_id_list = [
|
|
0,
|
|
0,
|
|
1,
|
|
1,
|
|
2,
|
|
2,
|
|
3,
|
|
3,
|
|
0,
|
|
4,
|
|
0,
|
|
4,
|
|
1,
|
|
5,
|
|
1,
|
|
5,
|
|
2,
|
|
6,
|
|
2,
|
|
6,
|
|
3,
|
|
7,
|
|
3,
|
|
7,
|
|
4,
|
|
4,
|
|
5,
|
|
5,
|
|
6,
|
|
6,
|
|
7,
|
|
7,
|
|
0,
|
|
]
|
|
|
|
self.assertEqual(job_type_list, expect_job_type_list)
|
|
self.assertEqual(micro_batch_id_list, expect_micro_batch_id_list)
|
|
|
|
def test_standalone_executor_1f1b_plan_stage1(self):
|
|
base.set_flags({'FLAGS_enable_pir_api': 1})
|
|
config = {"num_micro_batches": 8, "pp_stage": 1, "pp_degree": 4}
|
|
pass_context = PassContext()
|
|
|
|
startup_program = static.Program()
|
|
main_program = static.Program()
|
|
|
|
pipeline_1f1b_pass = new_pass("pipeline_scheduler_1F1B", config)
|
|
pipeline_1f1b_pass.apply(
|
|
[main_program], [startup_program], pass_context
|
|
)
|
|
plan = pass_context.get_attr("plan")
|
|
job_type_list = []
|
|
micro_batch_id_list = []
|
|
for job in plan.job_list():
|
|
job_type_list.append(job.type())
|
|
micro_batch_id_list.append(job.micro_batch_id())
|
|
expect_job_type_list = [
|
|
"recv_forward",
|
|
"forward",
|
|
"recv_forward",
|
|
"forward",
|
|
"recv_forward",
|
|
"forward",
|
|
"backward",
|
|
"recv_forward",
|
|
"send_backward",
|
|
"forward",
|
|
"backward",
|
|
"recv_forward",
|
|
"send_backward",
|
|
"forward",
|
|
"backward",
|
|
"recv_forward",
|
|
"send_backward",
|
|
"forward",
|
|
"backward",
|
|
"recv_forward",
|
|
"send_backward",
|
|
"forward",
|
|
"backward",
|
|
"recv_forward",
|
|
"send_backward",
|
|
"forward",
|
|
"backward",
|
|
"send_backward",
|
|
"backward",
|
|
"send_backward",
|
|
"backward",
|
|
"send_backward",
|
|
"optimizer",
|
|
]
|
|
expect_micro_batch_id_list = [
|
|
0,
|
|
0,
|
|
1,
|
|
1,
|
|
2,
|
|
2,
|
|
0,
|
|
3,
|
|
0,
|
|
3,
|
|
1,
|
|
4,
|
|
1,
|
|
4,
|
|
2,
|
|
5,
|
|
2,
|
|
5,
|
|
3,
|
|
6,
|
|
3,
|
|
6,
|
|
4,
|
|
7,
|
|
4,
|
|
7,
|
|
5,
|
|
5,
|
|
6,
|
|
6,
|
|
7,
|
|
7,
|
|
0,
|
|
]
|
|
self.assertEqual(job_type_list, expect_job_type_list)
|
|
self.assertEqual(micro_batch_id_list, expect_micro_batch_id_list)
|
|
|
|
def test_standalone_executor_1f1b_plan_stage2(self):
|
|
base.set_flags({'FLAGS_enable_pir_api': 1})
|
|
config = {"num_micro_batches": 8, "pp_stage": 2, "pp_degree": 4}
|
|
pass_context = PassContext()
|
|
|
|
startup_program = static.Program()
|
|
main_program = static.Program()
|
|
|
|
pipeline_1f1b_pass = new_pass("pipeline_scheduler_1F1B", config)
|
|
pipeline_1f1b_pass.apply(
|
|
[main_program], [startup_program], pass_context
|
|
)
|
|
plan = pass_context.get_attr("plan")
|
|
job_type_list = []
|
|
micro_batch_id_list = []
|
|
for job in plan.job_list():
|
|
job_type_list.append(job.type())
|
|
micro_batch_id_list.append(job.micro_batch_id())
|
|
expect_job_type_list = [
|
|
"recv_forward",
|
|
"forward",
|
|
"recv_forward",
|
|
"forward",
|
|
"backward",
|
|
"recv_forward",
|
|
"send_backward",
|
|
"forward",
|
|
"backward",
|
|
"recv_forward",
|
|
"send_backward",
|
|
"forward",
|
|
"backward",
|
|
"recv_forward",
|
|
"send_backward",
|
|
"forward",
|
|
"backward",
|
|
"recv_forward",
|
|
"send_backward",
|
|
"forward",
|
|
"backward",
|
|
"recv_forward",
|
|
"send_backward",
|
|
"forward",
|
|
"backward",
|
|
"recv_forward",
|
|
"send_backward",
|
|
"forward",
|
|
"backward",
|
|
"send_backward",
|
|
"backward",
|
|
"send_backward",
|
|
"optimizer",
|
|
]
|
|
expect_micro_batch_id_list = [
|
|
0,
|
|
0,
|
|
1,
|
|
1,
|
|
0,
|
|
2,
|
|
0,
|
|
2,
|
|
1,
|
|
3,
|
|
1,
|
|
3,
|
|
2,
|
|
4,
|
|
2,
|
|
4,
|
|
3,
|
|
5,
|
|
3,
|
|
5,
|
|
4,
|
|
6,
|
|
4,
|
|
6,
|
|
5,
|
|
7,
|
|
5,
|
|
7,
|
|
6,
|
|
6,
|
|
7,
|
|
7,
|
|
0,
|
|
]
|
|
self.assertEqual(job_type_list, expect_job_type_list)
|
|
self.assertEqual(micro_batch_id_list, expect_micro_batch_id_list)
|
|
|
|
def test_standalone_executor_1f1b_plan_stage3(self):
|
|
base.set_flags({'FLAGS_enable_pir_api': 1})
|
|
config = {"num_micro_batches": 8, "pp_stage": 3, "pp_degree": 4}
|
|
pass_context = PassContext()
|
|
|
|
startup_program = static.Program()
|
|
main_program = static.Program()
|
|
|
|
pipeline_1f1b_pass = new_pass("pipeline_scheduler_1F1B", config)
|
|
pipeline_1f1b_pass.apply(
|
|
[main_program], [startup_program], pass_context
|
|
)
|
|
plan = pass_context.get_attr("plan")
|
|
job_type_list = []
|
|
micro_batch_id_list = []
|
|
for job in plan.job_list():
|
|
job_type_list.append(job.type())
|
|
micro_batch_id_list.append(job.micro_batch_id())
|
|
expect_job_type_list = [
|
|
"recv_forward",
|
|
"forward",
|
|
"backward",
|
|
"recv_forward",
|
|
"send_backward",
|
|
"forward",
|
|
"backward",
|
|
"recv_forward",
|
|
"send_backward",
|
|
"forward",
|
|
"backward",
|
|
"recv_forward",
|
|
"send_backward",
|
|
"forward",
|
|
"backward",
|
|
"recv_forward",
|
|
"send_backward",
|
|
"forward",
|
|
"backward",
|
|
"recv_forward",
|
|
"send_backward",
|
|
"forward",
|
|
"backward",
|
|
"recv_forward",
|
|
"send_backward",
|
|
"forward",
|
|
"backward",
|
|
"recv_forward",
|
|
"send_backward",
|
|
"forward",
|
|
"backward",
|
|
"send_backward",
|
|
"optimizer",
|
|
]
|
|
expect_micro_batch_id_list = [
|
|
0,
|
|
0,
|
|
0,
|
|
1,
|
|
0,
|
|
1,
|
|
1,
|
|
2,
|
|
1,
|
|
2,
|
|
2,
|
|
3,
|
|
2,
|
|
3,
|
|
3,
|
|
4,
|
|
3,
|
|
4,
|
|
4,
|
|
5,
|
|
4,
|
|
5,
|
|
5,
|
|
6,
|
|
5,
|
|
6,
|
|
6,
|
|
7,
|
|
6,
|
|
7,
|
|
7,
|
|
7,
|
|
0,
|
|
]
|
|
self.assertEqual(job_type_list, expect_job_type_list)
|
|
self.assertEqual(micro_batch_id_list, expect_micro_batch_id_list)
|
|
|
|
|
|
if __name__ == '__main__':
|
|
unittest.main()
|