| # |
| # Licensed to the Apache Software Foundation (ASF) under one |
| # or more contributor license agreements. See the NOTICE file |
| # distributed with this work for additional information |
| # 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 |
| # |
| # 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 th |
| |
| import os |
| import urllib.request |
| import tarfile |
| import glob |
| import onnx |
| import logging |
| logging.basicConfig(level=logging.INFO, format='%(asctime)-15s %(message)s') |
| |
| |
| def download_model(url): |
| download_dir = '/tmp/' |
| with tarfile.open(check_exist_or_download(url), 'r') as t: |
| t.extractall(path=download_dir) |
| |
| |
| def load_dataset(test_data_dir): |
| # load inputs |
| inputs = [] |
| inputs_num = len(glob.glob(os.path.join(test_data_dir, 'input_*.pb'))) |
| for i in range(inputs_num): |
| input_file = os.path.join(test_data_dir, 'input_{}.pb'.format(i)) |
| onnx_tensor = onnx.TensorProto() |
| with open(input_file, 'rb') as f: |
| onnx_tensor.ParseFromString(f.read()) |
| inputs.append(onnx.numpy_helper.to_array(onnx_tensor)) |
| |
| # load reference outputs |
| ref_outputs = [] |
| ref_outputs_num = len(glob.glob(os.path.join(test_data_dir, 'output_*.pb'))) |
| for i in range(ref_outputs_num): |
| output_file = os.path.join(test_data_dir, 'output_{}.pb'.format(i)) |
| onnx_tensor = onnx.TensorProto() |
| with open(output_file, 'rb') as f: |
| onnx_tensor.ParseFromString(f.read()) |
| ref_outputs.append(onnx.numpy_helper.to_array(onnx_tensor)) |
| return inputs, ref_outputs |
| |
| |
| def check_exist_or_download(url): |
| download_dir = '/tmp/' |
| name = url.rsplit('/', 1)[-1] |
| filename = os.path.join(download_dir, name) |
| if not os.path.isfile(filename): |
| logging.info("Downloading %s" % url) |
| urllib.request.urlretrieve(url, filename) |
| return filename |