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# regarding copyright ownership. The ASF licenses this file
# to you 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
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# KIND, either express or implied. See the License for the
# specific language governing permissions and limitations
# under the License.
import re
import os
import sys
import argparse
import mxnet as mx
import numpy as np
if sys.version_info >= (3, 0):
import configparser
import ConfigParser as configparser
def parse_args():
default_cfg = configparser.ConfigParser(), 'default.cfg'))
parser = argparse.ArgumentParser()
parser.add_argument("--configfile", help="config file for training parameters")
# those allow us to overwrite the configs through command line
for sec in default_cfg.sections():
for name, _ in default_cfg.items(sec):
arg_name = '--%s_%s' % (sec, name)
doc = 'Overwrite %s in section [%s] of config file' % (name, sec)
parser.add_argument(arg_name, help=doc)
args = parser.parse_args()
if args.configfile is not None:
# now read the user supplied config file to overwrite some values
# now overwrite config from command line options
for sec in default_cfg.sections():
for name, _ in default_cfg.items(sec):
arg_name = ('%s_%s' % (sec, name)).replace('-', '_')
if hasattr(args, arg_name) and getattr(args, arg_name) is not None:
sys.stderr.write('!! CMDLine overwriting %s.%s:\n' % (sec, name))
sys.stderr.write(" '%s' => '%s'\n" % (default_cfg.get(sec, name),
getattr(args, arg_name)))
default_cfg.set(sec, name, getattr(args, arg_name))
args.config = default_cfg
return args
def get_checkpoint_path(args):
prefix = args.config.get('train', 'prefix')
if os.path.isabs(prefix):
return prefix
return os.path.abspath(os.path.join(os.path.dirname(__file__), 'checkpoints', prefix))
def parse_contexts(args):
# parse context into Context objects
contexts = re.split(r'\W+', args.config.get('train', 'context'))
for i, ctx in enumerate(contexts):
if ctx[:3] == 'gpu':
contexts[i] = mx.context.gpu(int(ctx[3:]))
contexts[i] = mx.context.cpu(int(ctx[3:]))
return contexts