azhurkevich commented on code in PR #22131: URL: https://github.com/apache/beam/pull/22131#discussion_r922382645
########## sdks/python/apache_beam/ml/inference/tensorrt_inference_test.py: ########## @@ -0,0 +1,218 @@ +# +# SPDX-FileCopyrightText: NVIDIA CORPORATION & AFFILIATES +# Copyright (c) 2022 NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: Apache-2.0 +# +# 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. +# + +# pytype: skip-file + +import numpy as np +import pytest +import unittest + +import apache_beam as beam +from apache_beam.testing.test_pipeline import TestPipeline +from apache_beam.testing.util import assert_that, equal_to + +# Protect against environments where TensorRT python library is not available. +# pylint: disable=wrong-import-order, wrong-import-position, ungrouped-imports +try: + import tensorrt as trt + from apache_beam.ml.inference.base import PredictionResult, RunInference + from apache_beam.ml.inference.tensorrt_inference import \ + TensorRTEngineHandlerNumPy +except ImportError: + raise unittest.SkipTest('TensorRT dependencies are not installed') + +try: + from apache_beam.io.gcp.gcsfilesystem import GCSFileSystem +except ImportError: + GCSFileSystem = None # type: ignore + +LOGGER = trt.Logger(trt.Logger.INFO) + +SINGLE_FEATURE_EXAMPLES = np.array([[1], [5], [-3], [10.0]], dtype=np.float32) + +SINGLE_FEATURE_PREDICTIONS = [ + PredictionResult(ex, pred) for ex, + pred in zip( + SINGLE_FEATURE_EXAMPLES, + [[np.array(example * 2.0 + 0.5, dtype=np.float32)] for example in SINGLE_FEATURE_EXAMPLES]) +] + +TWO_FEATURES_EXAMPLES = np.array([[1, 5],[3, 10],[-14, 0],[0.5, 0.5]], dtype=np.float32) Review Comment: Noted -- 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]
