riteshghorse commented on code in PR #25368: URL: https://github.com/apache/beam/pull/25368#discussion_r1106272137
########## sdks/python/apache_beam/ml/inference/tensorflow_inference_it_test.py: ########## @@ -0,0 +1,112 @@ +# +# 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. +# + +"""End-to-End test for Tensorflow Inference""" + +import logging +import unittest +import uuid + +import pytest + +from apache_beam.io.filesystems import FileSystems +from apache_beam.testing.test_pipeline import TestPipeline + +# pylint: disable=ungrouped-imports +try: + import tensorflow as tf + from apache_beam.examples.inference import tensorflow_imagenet_segmentation + from apache_beam.examples.inference import tensorflow_mnist_classification +except ImportError as e: + tf = None + + +def process_outputs(filepath): + with FileSystems().open(filepath) as f: + lines = f.readlines() + lines = [l.decode('utf-8').strip('\n') for l in lines] + return lines + + [email protected]( + tf is None, 'Missing dependencies. ' + 'Test depends on tensorflow') [email protected]_tf [email protected]_postcommit +class TensorflowInference(unittest.TestCase): + def test_tf_mnist_classification(self): + test_pipeline = TestPipeline(is_integration_test=True) + input_file = 'gs://clouddfe-riteshghorse/tf/mnist/dataset/testing_inputs_it_mnist_data.csv' # pylint: disable=line-too-long + output_file_dir = 'gs://clouddfe-riteshghorse/tf/mnist/output/' + output_file = '/'.join([output_file_dir, str(uuid.uuid4()), 'result.txt']) + model_path = 'gs://clouddfe-riteshghorse/tf/mnist/model/' + extra_opts = { + 'input': input_file, + 'output': output_file, + 'model_path': model_path, + } + tensorflow_mnist_classification.run( + test_pipeline.get_full_options_as_args(**extra_opts), + save_main_session=False) + self.assertEqual(FileSystems().exists(output_file), True) + + expected_output_filepath = 'gs://clouddfe-riteshghorse/tf/mnist/output/testing_expected_outputs_test_sklearn_mnist_classification_actuals.txt' # pylint: disable=line-too-long + expected_outputs = process_outputs(expected_output_filepath) + + predicted_outputs = process_outputs(output_file) + self.assertEqual(len(expected_outputs), len(predicted_outputs)) + + predictions_dict = {} + for i in range(len(predicted_outputs)): + true_label, prediction = predicted_outputs[i].split(',') + predictions_dict[true_label] = prediction + + for i in range(len(expected_outputs)): + true_label, expected_prediction = expected_outputs[i].split(',') + self.assertEqual(predictions_dict[true_label], expected_prediction) + + def test_tf_imagenet_image_classification(self): + test_pipeline = TestPipeline(is_integration_test=True) + input_file = 'gs://clouddfe-riteshghorse/tf/imagenet/input/input_labels.txt' # pylint: disable=line-too-long Review Comment: Pylint hook automatically converts it to ``` input_file = ( string ) ``` So I guess I'll have to disable pylint here -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: [email protected] For queries about this service, please contact Infrastructure at: [email protected]
