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Add maxtext nightly test on 1 slice of v4-8 (#72)
* save maxtext progs * save prog * Run maxtext on 1 slice * Finisht the maxtext test on single slice. * Remove unused vars
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# Copyright 2023 Google LLC | ||
# | ||
# 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. | ||
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"""Utilities to construct common configs.""" | ||
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from typing import Tuple | ||
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UPGRADE_PIP = "pip install --upgrade pip" | ||
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def download_maxtext() -> Tuple[str]: | ||
"""Common set up for flax repo.""" | ||
return ( | ||
UPGRADE_PIP, | ||
"git clone https://github.com/google/maxtext.git /tmp/maxtext", | ||
) |
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# Copyright 2023 Google LLC | ||
# | ||
# 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. | ||
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"""Utilities to construct configs for maxtext DAG.""" | ||
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from typing import Tuple | ||
import uuid | ||
from apis import gcp_config, metric_config, task, test_config | ||
from configs import gcs_bucket, test_owner | ||
from configs.maxtext import common | ||
from configs.vm_resource import TpuVersion, Project, RuntimeVersion | ||
import datetime | ||
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PROJECT_NAME = Project.CLOUD_ML_AUTO_SOLUTIONS.value | ||
RUNTIME_IMAGE = RuntimeVersion.TPU_UBUNTU2204_BASE.value | ||
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def get_maxtext_nightly_config( | ||
tpu_version: TpuVersion, | ||
tpu_cores: int, | ||
tpu_zone: str, | ||
time_out_in_min: int, | ||
project_name: str = PROJECT_NAME, | ||
runtime_version: str = RUNTIME_IMAGE, | ||
network: str = "default", | ||
subnetwork: str = "default", | ||
is_tpu_reserved: bool = True, | ||
) -> task.TpuQueuedResourceTask: | ||
job_gcp_config = gcp_config.GCPConfig( | ||
project_name=project_name, | ||
zone=tpu_zone, | ||
dataset_name=metric_config.DatasetOption.XLML_DATASET, | ||
) | ||
current_datetime = datetime.datetime.now().strftime("%Y-%m-%d-%H-%M-%S") | ||
run_name = f"1slice-{tpu_version}_{tpu_cores}-maxtext-nightly-{current_datetime}" | ||
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set_up_cmds = common.download_maxtext() | ||
run_model_cmds = ( | ||
( | ||
"cd /tmp/maxtext && bash setup.sh MODE=nightly;" | ||
f' JAX_PLATFORM_NAME=TPU XLA_FLAGS="--xla_dump_to=/tmp/xla_dump/" RUN_NAME="{run_name}" &&' | ||
" python3 MaxText/train.py MaxText/configs/base.yml run_name=$RUN_NAME" | ||
" base_output_directory=gs://tonyjohnchen-maxtext-nightly/" | ||
" dataset_path=gs://max-datasets-rogue dataset_type=synthetic" | ||
" per_device_batch_size=6 reuse_example_batch=1 global_parameter_scale=1 metrics_file='metrics.txt'" | ||
" steps=50 enable_checkpointing=false enable_profiler=true gcs_metrics=true;" | ||
), | ||
) | ||
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job_test_config = test_config.TpuVmTest( | ||
test_config.Tpu( | ||
version=tpu_version, | ||
cores=tpu_cores, | ||
runtime_version=runtime_version, | ||
reserved=is_tpu_reserved, | ||
network=network, | ||
subnetwork=subnetwork, | ||
), | ||
test_name="maxtext_nightly", | ||
set_up_cmds=set_up_cmds, | ||
run_model_cmds=run_model_cmds, | ||
time_out_in_min=time_out_in_min, | ||
task_owner=test_owner.Tony_C, | ||
) | ||
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return task.TpuQueuedResourceTask( | ||
task_test_config=job_test_config, | ||
task_gcp_config=job_gcp_config, | ||
) |
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# PYTORCH | ||
PEI_Z = "Pei Z." | ||
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# Maxtext | ||
Tony_C = "Tony C." |
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# Copyright 2023 Google LLC | ||
# | ||
# 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. | ||
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"""A DAG to run all supported ML models with the latest JAX/FLAX version.""" | ||
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import datetime | ||
from airflow import models | ||
from configs import composer_env | ||
from configs.vm_resource import Project, TpuVersion, Zone, RuntimeVersion, V5_NETWORKS, V5E_SUBNETWORKS, V5P_SUBNETWORKS | ||
from configs.maxtext import maxtext_gce_config | ||
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# Run once a day at 2 am UTC (6 pm PST) | ||
SCHEDULED_TIME = "0 2 * * *" if composer_env.is_prod_env() else None | ||
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with models.DAG( | ||
dag_id="maxtext_test", | ||
schedule=SCHEDULED_TIME, | ||
tags=["multipod_team", "maxtext"], | ||
start_date=datetime.datetime(2024, 1, 10), | ||
catchup=False, | ||
) as dag: | ||
# Maxtext | ||
maxtext_nightly_v4_8 = maxtext_gce_config.get_maxtext_nightly_config( | ||
tpu_version=TpuVersion.V4, | ||
tpu_cores=8, | ||
tpu_zone=Zone.US_CENTRAL2_B.value, | ||
time_out_in_min=60, | ||
).run() | ||
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# Test dependencies | ||
maxtext_nightly_v4_8 |