Development. No branches or pull requests. 2 participants. I tried to run below code provided in the repository but I get DuplicateFlagError, can you please assist. from future import absolute_import from future import division from future import print_function import sys from absl import app fr The absl/strings library provides classes and utility functions for manipulating and comparing strings, converting other types (such as integers) into strings, or evaluating strings for other usages. Additionally, the strings library also contains utility functions for “string-like” classes that store data within contiguous memory Instead of downgrading, you can set FLAGS in your code and you can use latest version of Bert. import sys from absl import flags [HOST]=['preserve_unused_tokens=False'] [HOST]([HOST]) Good luck! 1. You can use a validator for that: from absl import app. from absl import flags. FLAGS = [HOST] [HOST]_bool("f1", False, "some flag") Prefer to define flags only in the file containing the binary’s main () function. Although Abseil flags may be defined anywhere in any namespace, avoid any usage outside of main () as it will otherwise be difficult to resolve conflicts. Prefer to reference flags only from within the file containing the binary’s main () function, for the From [HOST]rm import flags File "/usr/lib/python/site-packages/tensorflow/python/platform/[HOST]", line 25, in from [HOST] import * # In the Project Interpreter window, you can manage your Python environment and packages. To install absl-py, click on the plus icon on the right-hand side panel. 5. Search for the absl-py package and select it from the list. 6. Click the Install Package button and PyCharm will install the package in your selected environment From absl import flags from absl import app # Flag names are globally defined! [HOST]_integer ('job_id', 32, 'Job ID.', lower_bound=0)
AttributeError: module 'absl' has no attribute 'flags' #119 - GitHub
@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 Saving ConfigDict to File -- Using ABSL · Issue #19 · google/ml_collections · GitHub. The Problem: I'm currently using the following pattern to load a config from dictionary from absl import app, flags from ml_collections import config_flags [HOST] import MY_CONFIG_DICT FLAGS = [HOST] _CONFIG = config_[HOST]
Python Absl Duplicate Flag Error - Lua Software
Import fire: import gin: from absl import flags: from absl import app: [HOST]_multi_string('gin_file', None, 'List of paths to the config files.') Now in the latest Tensorflow Hub() they are using flags like below. from absl import flags FLAGS = [HOST] Upgrading Tensorflow Hub should resolve your issue. Share. Improve this answer. Follow answered May 26, at user user 1. @ele_coder - If your issue is resolved using the above @gnychis Ran into the same issue, even with the recent changes.. Rectified it by doing the following: Edit the following in pysc2\run_configs_init_.py (N.B: I'm using Anaconda, so you will need to find the location of pysc2) From this (Line 25 to 27): [HOST]_string("sc2_run_config", None