Python input_fn_builder_cppnc_multi_evidence Examples

Example #1

File: run_me7.py Project: clover3/Chair

def main(_):
    tf_logging.info("QCK with ME7")
    config = JsonConfig.from_json_file(FLAGS.model_config_file)
    train_config = TrainConfigEx.from_flags(FLAGS)
    input_fn = input_fn_builder_cppnc_multi_evidence(FLAGS)
    special_flags = FLAGS.special_flags.split(",")
    special_flags.append("feed_features")
    model_fn = model_fn_classification(config, train_config, ME7,
                                       special_flags)
    if FLAGS.do_predict:
        tf_logging.addFilter(MuteEnqueueFilter())

    return run_estimator(model_fn, input_fn)

Example #2

def run_classification_w_second_input():
    input_files = get_input_files_from_flags(FLAGS)
    config = JsonConfig.from_json_file(FLAGS.model_config_file)
    train_config = TrainConfigEx.from_flags(FLAGS)
    show_input_files(input_files)
    special_flags = FLAGS.special_flags.split(",")
    special_flags.append("feed_features")
    model_fn = model_fn_classification(config, train_config, ME5_2,
                                       special_flags)
    if FLAGS.do_predict:
        tf_logging.addFilter(MuteEnqueueFilter())
    input_fn = input_fn_builder_cppnc_multi_evidence(FLAGS)
    result = run_estimator(model_fn, input_fn)
    return result