[GitHub] [beam] pranavm-nvidia commented on a diff in pull request #22131: TensorRT Initial commit

[GitBox <gi...@apache.org>]

pranavm-nvidia commented on code in PR #22131:
URL: https://github.com/apache/beam/pull/22131#discussion_r917935179


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sdks/python/apache_beam/ml/inference/tensorrt_inference.py:
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@@ -0,0 +1,213 @@
+#
+# SPDX-FileCopyrightText: Copyright (c) 2022 NVIDIA CORPORATION & AFFILIATES. All rights reserved. # pylint: disable=line-too-long
+# 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 pycuda.driver as cuda
+import sys
+import tensorrt as trt
+from typing import Any, Dict, Iterable, Optional, Sequence
+
+from apache_beam.io.filesystems import FileSystems
+from apache_beam.ml.inference.base import ModelHandler, PredictionResult
+
+LOGGER = trt.Logger(trt.Logger.INFO)
+
+
+def _load_engine(engine_path):
+  file = FileSystems.open(engine_path, 'rb')
+  runtime = trt.Runtime(LOGGER)
+  engine = runtime.deserialize_cuda_engine(file.read())
+  assert engine
+  return engine
+
+
+def _load_onnx(onnx_path):
+  builder = trt.Builder(LOGGER)
+  network = builder.create_network(
+      flags=1 << int(trt.NetworkDefinitionCreationFlag.EXPLICIT_BATCH))
+  parser = trt.OnnxParser(network, LOGGER)
+  with FileSystems.open(onnx_path) as f:
+    if not parser.parse(f.read()):
+      print("Failed to load ONNX file: {}".format(onnx_path))
+      for error in range(parser.num_errors):
+        print(parser.get_error(error))
+      sys.exit(1)
+  builder.reset()
+  return network
+
+
+def _build_engine(network):
+  builder = trt.Builder(LOGGER)

Review Comment:
   This needs to use the same builder that was used to create the network in `_load_onnx()`



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