DeepLearningExamples/PyTorch/Classification/ConvNets/triton/scripts/setup_parameters.sh
Piotr Marcinkiewicz 5c33a8289b
[ResNet50/PyT] Triton perf fix
* ResNet50/PyT Triton ONNXruntime fix with env flag

Scripts were modified to fix missing ORT_TENSORRT_FP16_ENABLE flag for
Triton Inference Server with ONNXRuntime and TensorRT execution provider.

* ResNet50/PyT TensorRT FP16 support fixed

ONNX to TensorRT converter was fixed to force FP16 precision for
TensorRT networks.
2021-06-16 16:04:22 +02:00

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#!/usr/bin/env bash
# Copyright (c) 2021 NVIDIA CORPORATION. All rights reserved.
#
# 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.
export PRECISION="fp16"
export FORMAT="onnx"
export BATCH_SIZE="1,2,4,8,16,32,64,128"
export BACKEND_ACCELERATOR="trt"
export MAX_BATCH_SIZE="128"
export NUMBER_OF_MODEL_INSTANCES="1"
export TRITON_MAX_QUEUE_DELAY="1"
export TRITON_PREFERRED_BATCH_SIZES="64 128"