Spaces:
Sleeping
Sleeping
| # Copyright 2022 Google. | |
| # | |
| # 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. | |
| r"""Program to run a transformer model over a single article. | |
| """ | |
| # This program is currently a template, which can be expanded to do more | |
| # sophisticated analysis. | |
| from typing import Sequence | |
| from absl import app | |
| from absl import flags | |
| from clu import platform | |
| import jax | |
| from transformer import inference_utils | |
| from transformer import tasks # pylint: disable=unused-import | |
| import tensorflow.compat.v2 as tf | |
| flags.DEFINE_string("workdir", "", "Directory to save model checkpoints.") | |
| flags.DEFINE_string("load_dir", "", "Directory to load pre-trained model.") | |
| flags.DEFINE_integer("num_steps", 110, "Number of steps.") | |
| flags.DEFINE_list( | |
| "gin_search_paths", | |
| ["transformer/configs"], | |
| "List of paths where the Gin config files are located.") | |
| flags.DEFINE_multi_string( | |
| "gin_file", ["base_htrans.gin"], "List of Gin config files.") | |
| flags.DEFINE_multi_string( | |
| "gin_param", None, "Newline separated list of Gin parameter bindings.") | |
| FLAGS = flags.FLAGS | |
| def main(argv: Sequence[str]) -> None: | |
| if len(argv) > 1: | |
| raise app.UsageError("Too many command-line arguments.") | |
| # Hide any GPUs from TensorFlow. Otherwise TF might reserve memory and make | |
| # it unavailable to JAX. | |
| tf.config.experimental.set_visible_devices([], "GPU") | |
| # Add a note so that we can tell which task is which JAX host. | |
| # (Depending on the platform task 0 is not guaranteed to be host 0) | |
| platform.work_unit().set_task_status(f"process_index: {jax.process_index()}, " | |
| f"process_count: {jax.process_count()}") | |
| platform.work_unit().create_artifact(platform.ArtifactType.DIRECTORY, | |
| FLAGS.workdir, "workdir") | |
| inference_utils.parse_gin_configuration(FLAGS.gin_file, FLAGS.gin_param, | |
| gin_paths=FLAGS.gin_search_paths) | |
| article_data = inference_utils.read_article(True) | |
| (_, vocab) = article_data | |
| (task, task_state, _) = inference_utils.create_model_and_task( | |
| vocab, load_dir=FLAGS.load_dir) | |
| outs = inference_utils.run_model(task, task_state, article_data, | |
| verbose=True) | |
| inference_utils.get_token_losses(outs) | |
| if __name__ == "__main__": | |
| app.run(main) | |