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Copy pathget_data.py
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74 lines (55 loc) · 2.39 KB
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# Copyright 2019 Google LLC
#
# 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.
"""Copies & compiles the data required to start the reinforcement loop."""
import sys
sys.path.insert(0, '.') # nopep8
import asyncio
import glob
import os
from absl import app, flags
from ml_perf import utils
N = os.environ.get('BOARD_SIZE', '19')
flags.DEFINE_string('src_dir', 'gs://minigo-pub/ml_perf/',
'Directory on GCS to copy source data from. Files will be '
'copied from subdirectories of src_dir corresponding to '
'the BOARD_SIZE environment variable (defaults to 19).')
flags.DEFINE_string('dst_dir', 'ml_perf/',
'Local directory to write to. Files will be written to '
'subdirectories of dst_dir corresponding to the BOARD_SIZE '
'environment variable (defaults to 19).')
flags.DEFINE_boolean('use_tpu', False,
'Set to true to generate models that can run on Cloud TPU')
FLAGS = flags.FLAGS
def freeze_graph(path):
utils.wait(utils.checked_run(
'python', 'freeze_graph.py',
'--model_path={}'.format(path), '--use_tpu={}'.format(FLAGS.use_tpu)))
def main(unused_argv):
try:
for d in ['checkpoint', 'target']:
# Pull the required training checkpoints and models from GCS.
src = os.path.join(FLAGS.src_dir, d, N)
dst = os.path.join(FLAGS.dst_dir, d)
utils.ensure_dir_exists(dst)
utils.wait(utils.checked_run('gsutil', '-m', 'cp', '-r', src, dst))
# Freeze the target model.
freeze_graph(os.path.join(FLAGS.dst_dir, 'target', N, 'target'))
# Freeze the training checkpoint models.
pattern = os.path.join(FLAGS.dst_dir, 'checkpoint', N, 'work_dir', '*.index')
for path in glob.glob(pattern):
freeze_graph(os.path.splitext(path)[0])
finally:
asyncio.get_event_loop().close()
if __name__ == '__main__':
app.run(main)