212 lines
7.9 KiB
Python
Executable File
212 lines
7.9 KiB
Python
Executable File
#!/usr/bin/env python3
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#
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# SPDX-License-Identifier: BSD-2-Clause
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#
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# Copyright (c) 2023, Jeff Moe
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# All rights reserved.
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#
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# Redistribution and use in source and binary forms, with or without
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# modification, are permitted provided that the following conditions are met:
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#
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# 1. Redistributions of source code must retain the above copyright notice, this
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# list of conditions and the following disclaimer.
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#
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# 2. Redistributions in binary form must reproduce the above copyright notice,
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# this list of conditions and the following disclaimer in the documentation
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# and/or other materials provided with the distribution.
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#
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# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
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# AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
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# IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
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# DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
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# FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
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# DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
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# SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
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# CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
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# OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
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# OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
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#
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#
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# Crufty script to test PyTorch models to confirm they load.
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# Uncomment filename and model to load whichever particular model to test.
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#
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# Usage:
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# ./load-model.py
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from utils import load_model
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from torchvision.models import alexnet
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from torchvision.models import densenet121
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from torchvision.models import densenet161
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from torchvision.models import densenet169
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from torchvision.models import densenet201
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from torchvision.models import efficientnet_b0
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from torchvision.models import efficientnet_b1
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from torchvision.models import efficientnet_b2
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from torchvision.models import efficientnet_b3
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from torchvision.models import efficientnet_b4
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# from torchvision.models import inception_resnet_v2
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from torchvision.models import inception_v3
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# from torchvision.models import inception_v4
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from torchvision.models import mobilenet_v2
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from torchvision.models import mobilenet_v3_large
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from torchvision.models import mobilenet_v3_small
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from torchvision.models import resnet18
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from torchvision.models import resnet34
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from torchvision.models import resnet50
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from torchvision.models import resnet101
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from torchvision.models import resnet152
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from torchvision.models import shufflenet_v2_x1_0
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# from torchvision.models import squeezenet
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from torchvision.models import squeezenet1_0
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from torchvision.models import vgg11
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from torchvision.models import vit_b_16
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from torchvision.models import wide_resnet50_2
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from torchvision.models import wide_resnet101_2
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use_gpu = True
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### BEGIN upstream OK ###
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# filename = '/srv/ml/plantnet/models/resnet18_weights_best_acc.tar'
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# model = resnet18(num_classes=1081) # 1081 classes in Pl@ntNet-300K
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### END upstream ###
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### BEGIN alexnet OK ###
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filename = "/srv/ml/deepcrayon/plantnet/models/alexnet_weights_best_acc.tar"
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model = alexnet(num_classes=1081)
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### END alexnet ###
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### BEGIN densenet121 OK ###
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# filename = '/srv/ml/deepcrayon/plantnet/models/densenet121_weights_best_acc.tar'
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# model = densenet121(num_classes=1081)
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### END densenet121 ###
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### BEGIN densenet161 OK ###
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# filename = '/srv/ml/deepcrayon/plantnet/models/densenet161_weights_best_acc.tar'
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# model = densenet161(num_classes=1081)
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### END densenet161 ###
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### BEGIN densenet169 OK ###
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# filename = '/srv/ml/deepcrayon/plantnet/models/densenet169_weights_best_acc.tar'
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# model = densenet169(num_classes=1081)
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### END densenet169 ###
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### BEGIN densenet201 OK ###
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# filename = '/srv/ml/deepcrayon/plantnet/models/densenet201_weights_best_acc.tar'
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# model = densenet201(num_classes=1081)
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### END densenet201 ###
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### BEGIN efficientnet_b0 FAIL ###
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# filename = '/srv/ml/deepcrayon/plantnet/models/efficientnet_b0_weights_best_acc.tar'
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# model = efficientnet_b0(num_classes=1081)
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### END efficientnet_b0 ###
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### BEGIN efficientnet_b1 FAIL ###
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# filename = '/srv/ml/deepcrayon/plantnet/models/efficientnet_b1_weights_best_acc.tar'
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# model = efficientnet_b1(num_classes=1081)
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### END efficientnet_b1 ###
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### BEGIN efficientnet_b2 FAIL ###
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# filename = '/srv/ml/deepcrayon/plantnet/models/efficientnet_b2_weights_best_acc.tar'
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# model = efficientnet_b2(num_classes=1081)
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### END efficientnet_b2 ###
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### BEGIN efficientnet_b3 FAIL ###
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# filename = '/srv/ml/deepcrayon/plantnet/models/efficientnet_b3_weights_best_acc.tar'
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# model = efficientnet_b3(num_classes=1081)
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### END efficientnet_b3 ###
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### BEGIN efficientnet_b4 FAIL ###
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# filename = '/srv/ml/deepcrayon/plantnet/models/efficientnet_b4_weights_best_acc.tar'
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# model = efficientnet_b4(num_classes=1081)
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### END efficientnet_b4 ###
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### BEGIN inception_resnet_v2 FAIL no module import ###
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# filename = '/srv/ml/deepcrayon/plantnet/models/inception_resnet_v2_weights_best_acc.tar'
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# model = inception_resnet_v2(num_classes=1081)
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### END inception_resnet_v2 ###
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### BEGIN inception_v3 FAIL no train ###
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# filename = '/srv/ml/deepcrayon/plantnet/models/inception_v3_weights_best_acc.tar'
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# model = inception_v3(num_classes=1081)
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### END inception_v3 ###
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### BEGIN inception_v4 FAIL no module import ###
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# filename = '/srv/ml/deepcrayon/plantnet/models/inception_v4_weights_best_acc.tar'
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# model = inception_v4(num_classes=1081)
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### END inception_v4 ###
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### BEGIN mobilenet_v2 OK ###
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# filename = '/srv/ml/deepcrayon/plantnet/models/mobilenet_v2_weights_best_acc.tar'
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# model = mobilenet_v2(num_classes=1081)
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### END mobilenet_v2 ###
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### BEGIN mobilenet_v3_large OK ###
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# filename = '/srv/ml/deepcrayon/plantnet/models/mobilenet_v3_large_weights_best_acc.tar'
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# model = mobilenet_v3_large(num_classes=1081)
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### END mobilenet_v3_large ###
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### BEGIN mobilenet_v3_small OK ###
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# filename = '/srv/ml/deepcrayon/plantnet/models/mobilenet_v3_small_weights_best_acc.tar'
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# model = mobilenet_v3_small(num_classes=1081)
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### END mobilenet_v3_small ###
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### BEGIN resnet18 OK ###
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# filename = '/srv/ml/deepcrayon/plantnet/models/resnet18_weights_best_acc.tar'
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# model = resnet18(num_classes=1081)
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### END resnet18 ###
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### BEGIN resnet34 OK ###
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# filename = '/srv/ml/deepcrayon/plantnet/models/resnet34_weights_best_acc.tar'
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# model = resnet34(num_classes=1081)
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### END resnet34 ###
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### BEGIN resnet50 OK ###
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# filename = '/srv/ml/deepcrayon/plantnet/models/resnet50_weights_best_acc.tar'
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# model = resnet50(num_classes=1081)
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### END resnet50 ###
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### BEGIN resnet101 OK ###
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# filename = '/srv/ml/deepcrayon/plantnet/models/resnet101_weights_best_acc.tar'
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# model = resnet101(num_classes=1081)
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### END resnet101 ###
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### BEGIN resnet152 OK ###
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# filename = '/srv/ml/deepcrayon/plantnet/models/resnet152_weights_best_acc.tar'
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# model = resnet152(num_classes=1081)
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### END resnet152 ###
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### BEGIN shufflenet_v2_x1_0 OK ###
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# filename = '/srv/ml/deepcrayon/plantnet/models/shufflenet_v2_x1_0_weights_best_acc.tar'
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# model = shufflenet_v2_x1_0(num_classes=1081)
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### END shufflenet_v2_x1_0 ###
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### BEGIN squeezenet1_0 OK ###
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# filename = '/srv/ml/deepcrayon/plantnet/models/squeezenet_weights_best_acc.tar'
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# model = squeezenet1_0(num_classes=1081)
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### END squeezenet1_0 ###
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### BEGIN vgg11 OK ###
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# filename = '/srv/ml/deepcrayon/plantnet/models/vgg11_weights_best_acc.tar'
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# model = vgg11(num_classes=1081)
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### END vgg11 ###
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### BEGIN vit_b_16 FAIL ###
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# filename = '/srv/ml/deepcrayon/plantnet/models/vit_b_16_weights_best_acc.tar'
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# model = vit_b_16(num_classes=1081)
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### END vit ###
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### BEGIN wide_resnet50_2 OK ###
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# filename = '/srv/ml/deepcrayon/plantnet/models/wide_resnet50_2_weights_best_acc.tar'
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# model = wide_resnet50_2(num_classes=1081)
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### END wide_resnet50_2 ###
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### BEGIN wide_resnet101_2 OK ###
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# filename = '/srv/ml/deepcrayon/plantnet/models/wide_resnet101_2_weights_best_acc.tar'
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# model = wide_resnet101_2(num_classes=1081)
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### END wide_resnet101_2 ###
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load_model(model, filename=filename, use_gpu=use_gpu)
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