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101 lines
2.8 KiB
101 lines
2.8 KiB
# Copyright (c) 2021 PaddlePaddle Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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"""Contains common utility functions."""
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import distutils.util
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import math
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import os
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from typing import List
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__all__ = ['print_arguments', 'add_arguments', "log_add"]
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def print_arguments(args, info=None):
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"""Print argparse's arguments.
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Usage:
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.. code-block:: python
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parser = argparse.ArgumentParser()
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parser.add_argument("name", default="Jonh", type=str, help="User name.")
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args = parser.parse_args()
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print_arguments(args)
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:param args: Input argparse.Namespace for printing.
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:type args: argparse.Namespace
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"""
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filename = ""
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if info:
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filename = info["__file__"]
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filename = os.path.basename(filename)
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print(f"----------- {filename} Configuration Arguments -----------")
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for arg, value in sorted(vars(args).items()):
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print("%s: %s" % (arg, value))
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print("-----------------------------------------------------------")
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def add_arguments(argname, type, default, help, argparser, **kwargs):
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"""Add argparse's argument.
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Usage:
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.. code-block:: python
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parser = argparse.ArgumentParser()
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add_argument("name", str, "Jonh", "User name.", parser)
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args = parser.parse_args()
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"""
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type = distutils.util.strtobool if type == bool else type
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argparser.add_argument(
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"--" + argname,
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default=default,
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type=type,
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help=help + ' Default: %(default)s.',
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**kwargs)
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def log_add(args: List[int]) -> float:
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"""Stable log add
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Args:
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args (List[int]): log scores
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Returns:
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float: sum of log scores
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"""
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if all(a == -float('inf') for a in args):
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return -float('inf')
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a_max = max(args)
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lsp = math.log(sum(math.exp(a - a_max) for a in args))
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return a_max + lsp
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def get_subsample(config):
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"""Subsample rate from config.
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Args:
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config (yacs.config.CfgNode): yaml config
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Returns:
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int: subsample rate.
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"""
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input_layer = config["model"]["encoder_conf"]["input_layer"]
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assert input_layer in ["conv2d", "conv2d6", "conv2d8"]
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if input_layer == "conv2d":
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return 4
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elif input_layer == "conv2d6":
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return 6
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elif input_layer == "conv2d8":
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return 8
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