This module provides argparse integration with [HOST] argparse_[HOST]ntParser is a drop-in replacement for [HOST]ntParser. It takes care of collecting and defining absl flags in argparse. Here is a simple example: # Assume the following [HOST] is defined in another module: # # from absl import flags # This results in a loooong build command, for example, I only want 2 APIs in abseil, ABSL_FLAG and absl:ParseCommandLine, but the build tool generates clang cmd like: Details /usr/bin/clang++ -labsl_bad_any_cast_impl -labsl_cordz_sample_token -labsl_die_if_null -labsl_failure_signal_handler -labsl_flags_parse -labsl_flags_usage
Source code for ml_collections.config_flags.config_flags - Read …
@Dimitri I had the same problem as you. Use @ThMore answer. Change import tensorflow as tf to import [HOST]v1 as [HOST]'t change anything else ([HOST] and [HOST] stays as is).– Binx The following are 30 code examples of [HOST]_string().You can vote up the ones you like or vote down the ones you don't like, and go to the original project or source file by following the links above each example From absl import flags. import sample2. FLAGS = [HOST] [HOST]_string('name', 'Jane Random', 'Your name.') def main(argv):
Ml-collections · PyPI
How are you calling this code? If you are specifying --mode on the command line, then that's the problem, because you aren't defining a 'mode' parameter. Where # Lint as: python 3 """Configuration commmand line parser.""" import errno import imp import os import re import sys import traceback from typing import Any, Dict, Generic, List, MutableMapping, Optional, Tuple, Type, TypeVar from absl import flags from absl import logging import dataclasses import ml_collections from ml_[HOST]