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run_image_classification_test.sh
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run_image_classification_test.sh
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#!/bin/bash
#!/usr/bin/env bash
# Copyright (c) 2018-2021, Texas Instruments
# 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 the copyright holder 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 AND CONTRIBUTORS "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 HOLDER 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.
##################################################################
# method 1 of specifying mean, std: (img/255 - mean)/std
#--image_mean 0.485 0.456 0.406
#--image_std 0.229 0.224 0.225
#
# method 2 of specifying mean, scale: (img*rescale_factor - mean)*scale
#--rescale_factor 1.0
#--image_mean 123.675 116.28 103.53
#--image_scale 0.017125 0.017507 0.017429
# MODEL_NAME_OR_PATH="microsoft/resnet-50"
# MODEL_NAME_OR_PATH="facebook/convnext-tiny-224"
# MODEL_NAME_OR_PATH="facebook/convnext-small-224"
# MODEL_NAME_OR_PATH="facebook/deit-tiny-patch16-224"
# MODEL_NAME_OR_PATH="facebook/deit-small-patch16-224"
MODEL_NAME_OR_PATH="microsoft/swin-tiny-patch4-window7-224"
# MODEL_NAME_OR_PATH="microsoft/swin-small-patch4-window7-224"
CUDA_VISIBLE_DEVICES="0" \
python3 examples/pytorch/image-classification/run_image_classification.py \
--trust_remote_code True \
--dataset_name data/datasets/imagenet2012 \
--model_name_or_path ${MODEL_NAME_OR_PATH} \
--output_dir outputs \
--remove_unused_columns False \
--do_train True \
--do_eval True \
--per_device_train_batch_size 128 \
--per_device_eval_batch_size 128 \
--overwrite_output_dir \
--size 256 \
--crop_size 224 \
--rescale_factor 1.0 \
--image_mean "123.675 116.28 103.53" \
--image_scale "0.017125 0.017507 0.017429" \
--label_names labels \
--ignore_mismatched_sizes True \
--dataloader_drop_last True \
--save_strategy no \
--do_onnx_export True \
--dataloader_num_workers 12 \
--quantization 3 \
--quantize_type PTQ
#--quantize_calib_images 5 \
#--max_eval_samples 1000 \
#--max_train_samples 200 \
#--use_cpu True \