4 participants. I asked this question on SO but it seems there are not enough people using this flag library there to answer it (or there may be no good answer). Given Def named_parameters (* testcases): """A decorator for creating parameterized tests. See the module docstring for a usage example. For every parameter tuple passed, the first element of the tuple should be a string and will be appended to the name of the test method. Each parameter dict passed must have a value for the key "testcase_name", the string Saved searches Use saved searches to filter your results more quickly However, it only throws the following ImportError: No module named absl-py: >>> import absl-py Traceback (most recent call last): File "", line 1, in import absl-py ModuleNotFoundError: No module named 'absl-py' Solution Idea 1: Install Library absl-py. The most likely reason is that Python doesn’t provide absl-py in its 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! # pylint: disable=unused-import from absl import app, flags from jax. config import config import launchpad as lp FLAGS = flags. FLAGS def main (_): import os os. environ ['JAX_PLATFORM_NAME'] = 'cpu' program = impala_agent Solution 3: Install absl-py in py alias. The following command below is the command to install the absl-py module in py alias. py -m pip install absl-py After you run the command above, it will show like this. Solution 4: Install absl-py in Anaconda. The following command below is the command to install the absl-py module in Anaconda. py -m pip R ecently, while implementing my Deep Neural Network (DNN) model into a WebAPI I faced multiple issues, absl-flags for command line arguments clashes with
Is it possible to save flagfiles? · Issue #57 · abseil/abseil-py
From __future__ import absolute_import from __future__ import division from __future__ import print_function import numpy as np from tf_[HOST]nments import py_environment from tf_[HOST]nments import wrappers from tf_[HOST] import array_spec from tf_[HOST]tories import time_step as ts import pysc2 import It has files bert_[HOST] and bert_[HOST] and [HOST] then I went to my anaconda command prompt and went to the above folder using cd command and. (C:\Users\nnn\AppData\Local\conda\conda\envs\tensorflowspyder) C:\Users\nnn\Documents\GitHub\bert>python run_[HOST] task_name=cola
A simple example of using gin with absl · GitHub
System information. Have I written custom code (as opposed to using a stock example script provided in TensorFlow): yes OS Platform and Distribution (e.g., Linux Ubuntu ): Ubuntu TensorFlow installed from (source or binary): binary TensorFlow version (use command below): Python version: ; Bazel version (if There's something odd going on with [HOST] and interacting very badly with multiprocessing when using 'spawn' as a start method. This is on MacOS , using homebrew's version of Python , although it also fails on the system python 3, Given the following code (I'll also atttach it), [HOST] """ import [HOST] import From [HOST] import implementations import numpy import tensorflow as tf import sys from datetime import datetime from tensorflow_[HOST] import predict_pb2 from tensorflow_[HOST] import prediction_service_pb2 [HOST]_string('server', 'localhost', 'PredictionService host:port') Latest. Contents: absl package. [HOST] module. [HOST]d_name module. [HOST] package. [HOST]se_flags module. [HOST]g package. This was caused by a Python version issue for me. I had the absl package installed on my Python 2.x, but my Python 3.x didn't have it. So I just made sure that both Pythons on my machine had the package installed: pip install absl-py pip3 install absl-py