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65 lines
2.0 KiB
Python
65 lines
2.0 KiB
Python
# Copyright (c) 2023, NVIDIA CORPORATION. All rights reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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try:
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import tensorrt as trt
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from polygraphy.backend.trt import CreateConfig, Profile, engine_from_network, network_from_onnx_path, save_engine
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HAVE_TRT = True
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except (ImportError, ModuleNotFoundError):
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HAVE_TRT = False
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def build_engine(
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onnx_path,
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output_path,
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fp16,
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input_profile=None,
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enable_refit=False,
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enable_preview=False,
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timing_cache=None,
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workspace_size=0,
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int8=False,
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builder_optimization_level=None,
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):
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print(f"Building TensorRT engine for {onnx_path}: {output_path}")
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p = Profile()
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if input_profile:
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for name, dims in input_profile.items():
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assert len(dims) == 3
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p.add(name, min=dims[0], opt=dims[1], max=dims[2])
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preview_features = None
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config_kwargs = {}
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if workspace_size > 0:
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config_kwargs["memory_pool_limits"] = {trt.MemoryPoolType.WORKSPACE: workspace_size}
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engine = engine_from_network(
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network_from_onnx_path(onnx_path),
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config=CreateConfig(
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fp16=fp16,
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refittable=enable_refit,
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profiles=[p],
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preview_features=preview_features,
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load_timing_cache=timing_cache,
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int8=int8,
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builder_optimization_level=builder_optimization_level,
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**config_kwargs,
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),
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save_timing_cache=timing_cache,
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)
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save_engine(engine, path=output_path)
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