PaddleX/paddlex/utils/flags.py

# copyright (c) 2024 PaddlePaddle Authors. All Rights Reserve.
#
# 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 os

__all__ = [
    "DEBUG",
    "DRY_RUN",
    "CHECK_OPTS",
    "EAGER_INITIALIZATION",
    "INFER_BENCHMARK",
    "INFER_BENCHMARK_ITER",
    "INFER_BENCHMARK_WARMUP",
    "INFER_BENCHMARK_OUTPUT",
    "INFER_BENCHMARK_DATA_SIZE",
    "FLAGS_json_format_model",
    "USE_NEW_INFERENCE",
]


def get_flag_from_env_var(name, default, format_func=str):
    """get_flag_from_env_var"""
    env_var = os.environ.get(name, default)
    if env_var in (True, "True", "true", "TRUE", "1"):
        return True
    elif env_var in (False, "False", "false", "FALSE", "0"):
        return False
    elif env_var in (None, "None", "none", "Null", "null"):
        return None
    return format_func(env_var)


DEBUG = get_flag_from_env_var("PADDLE_PDX_DEBUG", False)
DRY_RUN = get_flag_from_env_var("PADDLE_PDX_DRY_RUN", False)
CHECK_OPTS = get_flag_from_env_var("PADDLE_PDX_CHECK_OPTS", False)
EAGER_INITIALIZATION = get_flag_from_env_var("PADDLE_PDX_EAGER_INIT", True)
FLAGS_json_format_model = get_flag_from_env_var("FLAGS_json_format_model", None)
USE_NEW_INFERENCE = get_flag_from_env_var("USE_NEW_INFERENCE", False)

# Inference Benchmark
INFER_BENCHMARK = get_flag_from_env_var("PADDLE_PDX_INFER_BENCHMARK", None)
INFER_BENCHMARK_WARMUP = get_flag_from_env_var(
    "PADDLE_PDX_INFER_BENCHMARK_WARMUP", 0, int
)
INFER_BENCHMARK_OUTPUT = get_flag_from_env_var(
    "PADDLE_PDX_INFER_BENCHMARK_OUTPUT", None
)
INFER_BENCHMARK_ITER = get_flag_from_env_var("PADDLE_PDX_INFER_BENCHMARK_ITER", 10, int)
INFER_BENCHMARK_DATA_SIZE = get_flag_from_env_var(
    "PADDLE_PDX_INFER_BENCHMARK_DATA_SIZE", 1024
)