# Copyright (c) 2021 PaddlePaddle Authors. 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. """Contains common utility functions.""" import distutils.util import math import os import random from typing import List import numpy as np import paddle __all__ = ["seed_all", 'print_arguments', 'add_arguments', "log_add"] def seed_all(seed: int=210329): np.random.seed(seed) random.seed(seed) paddle.seed(seed) def print_arguments(args, info=None): """Print argparse's arguments. Usage: .. code-block:: python parser = argparse.ArgumentParser() parser.add_argument("name", default="Jonh", type=str, help="User name.") args = parser.parse_args() print_arguments(args) :param args: Input argparse.Namespace for printing. :type args: argparse.Namespace """ filename = "" if info: filename = info["__file__"] filename = os.path.basename(filename) print(f"----------- {filename} Configuration Arguments -----------") for arg, value in sorted(vars(args).items()): print("%s: %s" % (arg, value)) print("-----------------------------------------------------------") def add_arguments(argname, type, default, help, argparser, **kwargs): """Add argparse's argument. Usage: .. code-block:: python parser = argparse.ArgumentParser() add_argument("name", str, "Jonh", "User name.", parser) args = parser.parse_args() """ type = distutils.util.strtobool if type == bool else type argparser.add_argument( "--" + argname, default=default, type=type, help=help + ' Default: %(default)s.', **kwargs) def log_add(args: List[int]) -> float: """Stable log add Args: args (List[int]): log scores Returns: float: sum of log scores """ if all(a == -float('inf') for a in args): return -float('inf') a_max = max(args) lsp = math.log(sum(math.exp(a - a_max) for a in args)) return a_max + lsp def get_subsample(config): """Subsample rate from config. Args: config (yacs.config.CfgNode): yaml config Returns: int: subsample rate. """ input_layer = config["model"]["encoder_conf"]["input_layer"] assert input_layer in ["conv2d", "conv2d6", "conv2d8"] if input_layer == "conv2d": return 4 elif input_layer == "conv2d6": return 6 elif input_layer == "conv2d8": return 8