<commit_before>#Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserved
#
# 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.

from __future__ import print_function

import os
import sys
import time
import argparse
import unittest
import contextlib
import numpy as np

import paddle.fluid as fluid

import utils, metric, configs
import models

from pretrained_word2vec import Glove840B_300D 

parser = argparse.ArgumentParser(description=__doc__)

parser.add_argument('--model_name',       type=str,   default='cdssm',                  help="Which model to train")
parser.add_argument('--config',           type=str,   default='cdssm.cdssm_base',       help="The global config setting")

DATA_DIR = os.path.join(os.path.expanduser('~'), '.cache/paddle/dataset')

def evaluate(epoch_id, exe, inference_program, dev_reader, test_reader, fetch_list, feeder, metric_type):
    """
    evaluate on test/dev dataset
    """<commit_msg>add default args<commit_after>#Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserved
#
# 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.

from __future__ import print_function

import os
import sys
import time
import argparse
import unittest
import contextlib
import numpy as np

import paddle.fluid as fluid

import utils, metric, configs
import models

from pretrained_word2vec import Glove840B_300D 

parser = argparse.ArgumentParser(description=__doc__)

parser.add_argument('--model_name',       type=str,   default='cdssmNet',                  help="Which model to train")
parser.add_argument('--config',           type=str,   default='cdssm_base',       help="The global config setting")

DATA_DIR = os.path.join(os.path.expanduser('~'), '.cache/paddle/dataset')

def evaluate(epoch_id, exe, inference_program, dev_reader, test_reader, fetch_list, feeder, metric_type):
    """
    evaluate on test/dev dataset
    """
{'fraction_non_alphanumeric': 0.08450210378681627, 'fraction_numerical': 0.010518934081346423, 'mean_word_length': 4.342696629213483, 'pattern_counts': {'":': 0, '<': 3, '<?xml version=': 0, '>': 3, 'https://': 0, 'lorem ipsum': 0, 'www.': 2, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
{'dir': 'git-commits-cleaned', 'id': '973024', 'n_tokens_mistral': 808, 'n_tokens_neox': 781, 'n_words': 306}