#!/usr/bin/env python3
#
# SPDX-License-Identifier: BSD-2-Clause
#
# Copyright (c) 2023, Jeff Moe
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
#
# 1. Redistributions of source code must retain the above copyright notice, this
#   list of conditions and the following disclaimer.
#
# 2. Redistributions in binary form must reproduce the above copyright notice,
#   this list of conditions and the following disclaimer in the documentation
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#
# 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.
#
#
# Crufty script to test PyTorch models to confirm they load.
# Uncomment filename and model to load whichever particular model to test.
#
# Usage:
# ./load-model.py

from utils import load_model
from torchvision.models import alexnet
from torchvision.models import densenet121
from torchvision.models import densenet161
from torchvision.models import densenet169
from torchvision.models import densenet201
from torchvision.models import efficientnet_b0
from torchvision.models import efficientnet_b1
from torchvision.models import efficientnet_b2
from torchvision.models import efficientnet_b3
from torchvision.models import efficientnet_b4

# from torchvision.models import inception_resnet_v2
from torchvision.models import inception_v3

# from torchvision.models import inception_v4
from torchvision.models import mobilenet_v2
from torchvision.models import mobilenet_v3_large
from torchvision.models import mobilenet_v3_small
from torchvision.models import resnet18
from torchvision.models import resnet34
from torchvision.models import resnet50
from torchvision.models import resnet101
from torchvision.models import resnet152
from torchvision.models import shufflenet_v2_x1_0

# from torchvision.models import squeezenet
from torchvision.models import squeezenet1_0
from torchvision.models import vgg11
from torchvision.models import vit_b_16
from torchvision.models import wide_resnet50_2
from torchvision.models import wide_resnet101_2

use_gpu = True

### BEGIN upstream OK ###
# filename = '/srv/ml/plantnet/models/resnet18_weights_best_acc.tar'
# model = resnet18(num_classes=1081) # 1081 classes in Pl@ntNet-300K
### END upstream ###

### BEGIN alexnet OK ###
filename = "/srv/ml/deepcrayon/plantnet/models/alexnet_weights_best_acc.tar"
model = alexnet(num_classes=1081)
### END alexnet ###

### BEGIN densenet121 OK ###
# filename = '/srv/ml/deepcrayon/plantnet/models/densenet121_weights_best_acc.tar'
# model = densenet121(num_classes=1081)
### END densenet121 ###

### BEGIN densenet161 OK ###
# filename = '/srv/ml/deepcrayon/plantnet/models/densenet161_weights_best_acc.tar'
# model = densenet161(num_classes=1081)
### END densenet161 ###

### BEGIN densenet169 OK ###
# filename = '/srv/ml/deepcrayon/plantnet/models/densenet169_weights_best_acc.tar'
# model = densenet169(num_classes=1081)
### END densenet169 ###

### BEGIN densenet201 OK ###
# filename = '/srv/ml/deepcrayon/plantnet/models/densenet201_weights_best_acc.tar'
# model = densenet201(num_classes=1081)
### END densenet201 ###

### BEGIN efficientnet_b0 FAIL ###
# filename = '/srv/ml/deepcrayon/plantnet/models/efficientnet_b0_weights_best_acc.tar'
# model = efficientnet_b0(num_classes=1081)
### END efficientnet_b0 ###

### BEGIN efficientnet_b1 FAIL ###
# filename = '/srv/ml/deepcrayon/plantnet/models/efficientnet_b1_weights_best_acc.tar'
# model = efficientnet_b1(num_classes=1081)
### END efficientnet_b1 ###

### BEGIN efficientnet_b2 FAIL ###
# filename = '/srv/ml/deepcrayon/plantnet/models/efficientnet_b2_weights_best_acc.tar'
# model = efficientnet_b2(num_classes=1081)
### END efficientnet_b2 ###

### BEGIN efficientnet_b3 FAIL ###
# filename = '/srv/ml/deepcrayon/plantnet/models/efficientnet_b3_weights_best_acc.tar'
# model = efficientnet_b3(num_classes=1081)
### END efficientnet_b3 ###

### BEGIN efficientnet_b4 FAIL ###
# filename = '/srv/ml/deepcrayon/plantnet/models/efficientnet_b4_weights_best_acc.tar'
# model = efficientnet_b4(num_classes=1081)
### END efficientnet_b4 ###

### BEGIN inception_resnet_v2 FAIL no module import ###
# filename = '/srv/ml/deepcrayon/plantnet/models/inception_resnet_v2_weights_best_acc.tar'
# model = inception_resnet_v2(num_classes=1081)
### END inception_resnet_v2 ###

### BEGIN inception_v3 FAIL no train ###
# filename = '/srv/ml/deepcrayon/plantnet/models/inception_v3_weights_best_acc.tar'
# model = inception_v3(num_classes=1081)
### END inception_v3 ###

### BEGIN inception_v4 FAIL no module import ###
# filename = '/srv/ml/deepcrayon/plantnet/models/inception_v4_weights_best_acc.tar'
# model = inception_v4(num_classes=1081)
### END inception_v4 ###

### BEGIN mobilenet_v2 OK ###
# filename = '/srv/ml/deepcrayon/plantnet/models/mobilenet_v2_weights_best_acc.tar'
# model = mobilenet_v2(num_classes=1081)
### END mobilenet_v2 ###

### BEGIN mobilenet_v3_large OK ###
# filename = '/srv/ml/deepcrayon/plantnet/models/mobilenet_v3_large_weights_best_acc.tar'
# model = mobilenet_v3_large(num_classes=1081)
### END mobilenet_v3_large ###

### BEGIN mobilenet_v3_small OK ###
# filename = '/srv/ml/deepcrayon/plantnet/models/mobilenet_v3_small_weights_best_acc.tar'
# model = mobilenet_v3_small(num_classes=1081)
### END mobilenet_v3_small ###

### BEGIN resnet18 OK ###
# filename = '/srv/ml/deepcrayon/plantnet/models/resnet18_weights_best_acc.tar'
# model = resnet18(num_classes=1081)
### END resnet18 ###

### BEGIN resnet34 OK ###
# filename = '/srv/ml/deepcrayon/plantnet/models/resnet34_weights_best_acc.tar'
# model = resnet34(num_classes=1081)
### END resnet34 ###

### BEGIN resnet50 OK ###
# filename = '/srv/ml/deepcrayon/plantnet/models/resnet50_weights_best_acc.tar'
# model = resnet50(num_classes=1081)
### END resnet50 ###

### BEGIN resnet101 OK ###
# filename = '/srv/ml/deepcrayon/plantnet/models/resnet101_weights_best_acc.tar'
# model = resnet101(num_classes=1081)
### END resnet101 ###

### BEGIN resnet152 OK ###
# filename = '/srv/ml/deepcrayon/plantnet/models/resnet152_weights_best_acc.tar'
# model = resnet152(num_classes=1081)
### END resnet152 ###

### BEGIN shufflenet_v2_x1_0 OK ###
# filename = '/srv/ml/deepcrayon/plantnet/models/shufflenet_v2_x1_0_weights_best_acc.tar'
# model = shufflenet_v2_x1_0(num_classes=1081)
### END shufflenet_v2_x1_0 ###

### BEGIN squeezenet1_0 OK ###
# filename = '/srv/ml/deepcrayon/plantnet/models/squeezenet_weights_best_acc.tar'
# model = squeezenet1_0(num_classes=1081)
### END squeezenet1_0 ###

### BEGIN vgg11 OK ###
# filename = '/srv/ml/deepcrayon/plantnet/models/vgg11_weights_best_acc.tar'
# model = vgg11(num_classes=1081)
### END vgg11 ###

### BEGIN vit_b_16 FAIL ###
# filename = '/srv/ml/deepcrayon/plantnet/models/vit_b_16_weights_best_acc.tar'
# model = vit_b_16(num_classes=1081)
### END vit ###

### BEGIN wide_resnet50_2 OK ###
# filename = '/srv/ml/deepcrayon/plantnet/models/wide_resnet50_2_weights_best_acc.tar'
# model = wide_resnet50_2(num_classes=1081)
### END wide_resnet50_2 ###

### BEGIN wide_resnet101_2 OK ###
# filename = '/srv/ml/deepcrayon/plantnet/models/wide_resnet101_2_weights_best_acc.tar'
# model = wide_resnet101_2(num_classes=1081)
### END wide_resnet101_2 ###

load_model(model, filename=filename, use_gpu=use_gpu)