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examples/preprocessing/model_repository/ensemble_python_resnet50/config.pbtxt
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jackyh
add resnet50_trt example (#84)
08 окт 2021, 17:19
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08 окт 2021, 17:19
c3f0bd1
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# Copyright (c) 2021, NVIDIA CORPORATION. All rights reserved. # # Redistribution and use in source and binary forms, with or without # modification, are permitted provided that the following conditions # are met: # * Redistributions of source code must retain the above copyright # notice, this list of conditions and the following disclaimer. # * Redistributions in binary form must reproduce the above copyright # notice, this list of conditions and the following disclaimer in the # documentation and/or other materials provided with the distribution. # * Neither the name of NVIDIA CORPORATION nor the names of its # contributors may be used to endorse or promote products derived # from this software without specific prior written permission. # # THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS ``AS IS'' AND ANY # EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE # IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR # PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR # CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, # EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, # PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR # PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY # OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT # (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE # OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. name: "ensemble_python_resnet50" platform: "ensemble" max_batch_size: 256 input [ { name: "INPUT" data_type: TYPE_UINT8 dims: [ -1 ] } ] output [ { name: "OUTPUT" data_type: TYPE_FP32 dims: [ 1000 ] } ] ensemble_scheduling { step [ { model_name: "preprocess" model_version: -1 input_map { key: "INPUT_0" value: "INPUT" } output_map { key: "OUTPUT_0" value: "preprocessed_image" } }, { model_name: "resnet50_trt" model_version: -1 input_map { key: "input" value: "preprocessed_image" } output_map { key: "output" value: "OUTPUT" } } ] }