xlml/utils/name_format.py (25 lines of code) (raw):
# Copyright 2024 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.
"""Utility to generate names and locations."""
import datetime
import os
from airflow.decorators import task
from dags import gcs_bucket
@task
def generate_run_name(benchmark_id: str) -> str:
"""Generates a unique run name by appending the current
datetime to benchmark_id.
Args:
benchmark_id: Benchmark id of the test
"""
current_datetime = datetime.datetime.now().strftime("%Y-%m-%d-%H-%M-%S")
return f"{benchmark_id}-{current_datetime}"
@task
def generate_tb_file_location(run_name: str, base_output_directory: str) -> str:
"""Generates a path to the tensorboard file to be used as a regex. Assumes
the file is located in:
<base_output_directory>/<run_name>/tensorboard/<run_name>/events.out.tfevents.*
Args:
run_name: run name for the tensorboard file location
base_output_directory: GCS bucket path
"""
return os.path.join(
base_output_directory,
run_name,
"tensorboard",
run_name,
"events.out.tfevents.*",
)
@task
def generate_gcs_folder_location(subfolder: str, benchmark_id: str) -> str:
"""Generates folder location in GCS.
Args:
subfolder: Folder name/path for artifacts, such as 'solutions_team/flax'
benchmark_id: Benchmark id of the test
Returns: GCS folder name with location
"""
current_datetime = datetime.datetime.now().strftime("%Y-%m-%d-%H-%M-%S")
return os.path.join(
gcs_bucket.BASE_OUTPUT_DIR,
subfolder,
f"{benchmark_id}-{current_datetime}/",
)