| # 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 the License. |
| |
| |
| import os |
| import time |
| from pycarbon.tests.mnist.dataset_with_unischema import tf_example_carbon as tf_example |
| from pycarbon.tests.mnist.dataset_with_unischema import tf_example_carbon_unified_api as tf_example_unified |
| from pycarbon.tests.mnist.dataset_with_unischema.generate_pycarbon_mnist import mnist_data_to_pycarbon_dataset |
| |
| import pytest |
| import jnius_config |
| |
| jnius_config.set_classpath(pytest.config.getoption("--carbon-sdk-path")) |
| |
| if pytest.config.getoption("--pyspark-python") is not None and \ |
| pytest.config.getoption("--pyspark-driver-python") is not None: |
| os.environ['PYSPARK_PYTHON'] = pytest.config.getoption("--pyspark-python") |
| os.environ['PYSPARK_DRIVER_PYTHON'] = pytest.config.getoption("--pyspark-driver-python") |
| elif 'PYSPARK_PYTHON' in os.environ.keys() and 'PYSPARK_DRIVER_PYTHON' in os.environ.keys(): |
| pass |
| else: |
| raise ValueError("please set PYSPARK_PYTHON and PYSPARK_DRIVER_PYTHON variables, " |
| "using cmd line " |
| "--pyspark-python=PYSPARK_PYTHON_PATH --pyspark-driver-python=PYSPARK_DRIVER_PYTHON_PATH " |
| "or set PYSPARK_PYTHON and PYSPARK_DRIVER_PYTHON in system env") |
| |
| |
| def test_full_tf_example(large_mock_mnist_data, tmpdir): |
| # First, generate mock dataset |
| dataset_url = 'file://{}'.format(tmpdir) |
| mnist_data_to_pycarbon_dataset(tmpdir, dataset_url, mnist_data=large_mock_mnist_data, |
| spark_master='local[1]', carbon_files_count=1) |
| |
| start = time.time() |
| # Tensorflow train and test |
| tf_example.train_and_test( |
| dataset_url=dataset_url, |
| training_iterations=10, |
| batch_size=10, |
| evaluation_interval=10, |
| start=start |
| ) |
| |
| |
| def test_full_tf_example_unifeid(large_mock_mnist_data, tmpdir): |
| # First, generate mock dataset |
| dataset_url = 'file://{}'.format(tmpdir) |
| mnist_data_to_pycarbon_dataset(tmpdir, dataset_url, mnist_data=large_mock_mnist_data, |
| spark_master='local[1]', carbon_files_count=1) |
| |
| start = time.time() |
| # Tensorflow train and test |
| tf_example_unified.train_and_test( |
| dataset_url=dataset_url, |
| training_iterations=10, |
| batch_size=10, |
| evaluation_interval=10, |
| start=start |
| ) |