DeepLearningExamples/TensorFlow2/Recommendation/WideAndDeep/data/outbrain/nvtabular/utils/arguments.py

46 lines
1.4 KiB
Python

# Copyright (c) 2021, NVIDIA CORPORATION. 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 argparse
DEFAULT_DIR = "/outbrain"
def parse_args():
parser = argparse.ArgumentParser()
parser.add_argument(
"--data_path",
help="Path with the data required for NVTabular preprocessing. "
"If stats already exists under metadata_path preprocessing phase will be skipped.",
type=str,
default=f"{DEFAULT_DIR}/orig",
nargs="+",
)
parser.add_argument(
"--metadata_path",
help="Path with preprocessed NVTabular stats",
type=str,
default=f"{DEFAULT_DIR}/data",
nargs="+",
)
parser.add_argument(
'--use_dask',
default=False,
action='store_true',
help='Use multi-gpu preprocessing for nvTabular workflow'
)
return parser.parse_args()