示例#1
0
文件: rl_loop.py 项目: wtdeng/minigo
def validate_hourly(working_dir, validate_name=None):
    """ compiles a list of games based on the new hourly directory format. Then
    calls validate on it """

    holdout_dirs = gfile.ListDirectory(fsdb.holdout_dir())
    holdout_files = (os.path.join(fsdb.holdout_dir(), d, f)
                     for d in reversed(gfile.ListDirectory(fsdb.holdout_dir()))
                     for f in gfile.ListDirectory(os.path.join(fsdb.holdout_dir(),d))
                     if gfile.IsDirectory(os.path.join(fsdb.holdout_dir(),d)))
    holdout_files = list(itertools.islice(holdout_files, 20000))
    random.shuffle(holdout_files)
    dual_net.validate(holdout_files)
示例#2
0
def validate(
        *tf_record_dirs: 'Directories where holdout data are',
        validate_name: 'Name for validation set (i.e., selfplay or human)'=None):
    tf_records = []
    with utils.logged_timer("Building lists of holdout files"):
        for record_dir in tf_record_dirs:
            tf_records.extend(gfile.Glob(os.path.join(record_dir, '*.zz')))

    first_record = os.path.basename(tf_records[0])
    last_record = os.path.basename(tf_records[-1])
    with utils.logged_timer("Validating from {} to {}".format(first_record, last_record)):
        dual_net.validate(tf_records, validate_name=validate_name)
示例#3
0
文件: main.py 项目: nhu2000/minigo
def validate(
    working_dir: 'tf.estimator working directory',
    *tf_record_dirs: 'Directories where holdout data are',
    checkpoint_name: 'Which checkpoint to evaluate (None=latest)'=None,
    validate_name: 'Name for validation set (i.e. selfplay or human)'=None):
    tf_records = []
    with timer("Building lists of holdout files"):
        for record_dir in tf_record_dirs:
            tf_records.extend(gfile.Glob(os.path.join(record_dir, '*.zz')))

    with timer("Validating from {} to {}".format(os.path.basename(tf_records[0]),
                                                 os.path.basename(tf_records[-1]))):
        dual_net.validate(working_dir, tf_records, checkpoint_name=checkpoint_name,
            name=validate_name)
示例#4
0
def validate(
        working_dir: 'tf.estimator working directory',
        *tf_record_dirs: 'Directories where holdout data are',
        checkpoint_name: 'Which checkpoint to evaluate (None=latest)'=None,
        validate_name: 'Name for validation set (i.e. selfplay or human)'=None):
    tf_records = []
    with timer("Building lists of holdout files"):
        for record_dir in tf_record_dirs:
            tf_records.extend(gfile.Glob(os.path.join(record_dir, '*.zz')))

    with timer("Validating from {} to {}".format(os.path.basename(tf_records[0]),
                                                 os.path.basename(tf_records[-1]))):
        dual_net.validate(working_dir, tf_records, checkpoint_name=checkpoint_name,
                          name=validate_name)