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add dag job to support release test (#207)
* add dag job to support release test * fix enum value * change nightly docker * nit update
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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 TorchBench tests with nightly version.""" | ||
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| from airflow import models | ||
| import datetime | ||
| from dags import composer_env | ||
| from dags.pytorch_xla.configs import pytorchxla_torchbench_config as config | ||
| import dags.vm_resource as resource | ||
|
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| SCHEDULED_TIME = None | ||
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| with models.DAG( | ||
| dag_id="pytorchxla-torchbench-release", | ||
| schedule=SCHEDULED_TIME, | ||
| tags=["pytorchxla", "release", "torchbench"], | ||
| start_date=datetime.datetime(2024, 1, 1), | ||
| catchup=False, | ||
| ) as dag: | ||
| model = "all" if composer_env.is_prod_env() else "BERT_pytorch" | ||
| torchbench_extra_flags = [f"--filter={model}"] | ||
| test_version = config.VERSION.R2_2 | ||
| # Running on V4-8: | ||
| config.get_torchbench_tpu_config( | ||
| tpu_version=resource.TpuVersion.V4, | ||
| tpu_cores=8, | ||
| project=resource.Project.CLOUD_ML_AUTO_SOLUTIONS, | ||
| tpu_zone=resource.Zone.US_CENTRAL2_B, | ||
| runtime_version=resource.RuntimeVersion.TPU_UBUNTU2204_BASE, | ||
| test_version=test_version, | ||
| model_name=model, | ||
| time_out_in_min=1600, | ||
| extraFlags=" ".join(torchbench_extra_flags), | ||
| ).run() | ||
|
|
||
| # Running on V5P | ||
| config.get_torchbench_tpu_config( | ||
| tpu_version=resource.TpuVersion.V5P, | ||
| tpu_cores=8, | ||
| project=resource.Project.TPU_PROD_ENV_AUTOMATED, | ||
| tpu_zone=resource.Zone.US_EAST5_A, | ||
| runtime_version=resource.RuntimeVersion.V2_ALPHA_TPUV5, | ||
| network=resource.V5_NETWORKS, | ||
| subnetwork=resource.V5P_SUBNETWORKS, | ||
| test_version=test_version, | ||
| time_out_in_min=700, | ||
| model_name=model, | ||
| extraFlags=" ".join(torchbench_extra_flags), | ||
| ).run() | ||
|
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| # Running on V5E | ||
| config.get_torchbench_tpu_config( | ||
| tpu_version=resource.TpuVersion.V5E, | ||
| tpu_cores=4, | ||
| project=resource.Project.TPU_PROD_ENV_AUTOMATED, | ||
| tpu_zone=resource.Zone.US_EAST1_C, | ||
| runtime_version=resource.RuntimeVersion.V2_ALPHA_TPUV5_LITE, | ||
| network=resource.V5_NETWORKS, | ||
| subnetwork=resource.V5E_SUBNETWORKS, | ||
| test_version=test_version, | ||
| time_out_in_min=1600, | ||
| model_name=model, | ||
| extraFlags=" ".join(torchbench_extra_flags), | ||
| ).run() | ||
|
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||
| # Running on V100 GPU | ||
| config.get_torchbench_gpu_config( | ||
| machine_type=resource.MachineVersion.N1_STANDARD_8, | ||
| image_project=resource.ImageProject.DEEP_LEARNING_PLATFORM_RELEASE, | ||
| image_family=resource.ImageFamily.COMMON_CU121_DEBIAN_11, | ||
| accelerator_type=resource.GpuVersion.V100, | ||
| count=1, | ||
| gpu_zone=resource.Zone.US_CENTRAL1_C, | ||
| test_version=test_version, | ||
| model_name=model, | ||
| time_out_in_min=1600, | ||
| extraFlags=" ".join(torchbench_extra_flags), | ||
| ).run() | ||
|
|
||
| # Running on A100 GPU | ||
| config.get_torchbench_gpu_config( | ||
| machine_type=resource.MachineVersion.A2_HIGHGPU_1G, | ||
| image_project=resource.ImageProject.DEEP_LEARNING_PLATFORM_RELEASE, | ||
| image_family=resource.ImageFamily.COMMON_CU121_DEBIAN_11, | ||
| accelerator_type=resource.GpuVersion.A100, | ||
| count=1, | ||
| gpu_zone=resource.Zone.US_CENTRAL1_F, | ||
| test_version=test_version, | ||
| model_name=model, | ||
| time_out_in_min=1600, | ||
| extraFlags=" ".join(torchbench_extra_flags), | ||
| ).run() | ||
|
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| # Running on H100 GPU | ||
| # Note: H100 must use ssd. | ||
| config.get_torchbench_gpu_config( | ||
| machine_type=resource.MachineVersion.A3_HIGHGPU_8G, | ||
| image_project=resource.ImageProject.DEEP_LEARNING_PLATFORM_RELEASE, | ||
| image_family=resource.ImageFamily.COMMON_CU121_DEBIAN_11, | ||
| accelerator_type=resource.GpuVersion.H100, | ||
| count=8, | ||
| gpu_zone=resource.Zone.US_CENTRAL1_A, | ||
| nvidia_driver_version="535.86.10", | ||
| test_version=test_version, | ||
| model_name=model, | ||
| time_out_in_min=1600, | ||
| extraFlags=" ".join(torchbench_extra_flags), | ||
| ).run() | ||
|
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| # Running on L4 GPU | ||
| config.get_torchbench_gpu_config( | ||
| machine_type=resource.MachineVersion.G2_STAND_4, | ||
| image_project=resource.ImageProject.DEEP_LEARNING_PLATFORM_RELEASE, | ||
| image_family=resource.ImageFamily.COMMON_CU121_DEBIAN_11, | ||
| accelerator_type=resource.GpuVersion.L4, | ||
| count=1, | ||
| gpu_zone=resource.Zone.US_CENTRAL1_C, | ||
| test_version=test_version, | ||
| model_name=model, | ||
| time_out_in_min=1600, | ||
| extraFlags=" ".join(torchbench_extra_flags), | ||
| ).run() |
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