mirror of https://github.com/Jittor/Jittor
69 lines
1.9 KiB
Python
69 lines
1.9 KiB
Python
# ***************************************************************
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# Copyright (c) 2020 Jittor. All Rights Reserved.
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# Authors: Dun Liang <randonlang@gmail.com>.
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# This file is subject to the terms and conditions defined in
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# file 'LICENSE.txt', which is part of this source code package.
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# ***************************************************************
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import unittest
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import numpy as np
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import os
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import sys
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import jittor as jt
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skip_this_test = False
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try:
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jt.dirty_fix_pytorch_runtime_error()
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import torch
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import torchvision.models as tcmodels
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from torch import nn
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except:
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torch = None
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skip_this_test = True
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@unittest.skipIf(skip_this_test, "skip_this_test")
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class TestAutoDiff(unittest.TestCase):
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def test_pt_hook(self):
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code = '''
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import numpy as np
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from jittor_utils import auto_diff
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import torch
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import torchvision.models as tcmodels
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net = tcmodels.resnet50()
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net.train()
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hook = auto_diff.Hook("resnet50")
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hook.hook_module(net)
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np.random.seed(0)
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data = np.random.random((2,3,224,224)).astype('float32')
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data = torch.Tensor(data)
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net(data)
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# assert auto_diff.has_error == 0, auto_diff.has_error
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'''
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with open("/tmp/test_pt_hook.py", 'w') as f:
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f.write(code)
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assert os.system(sys.executable+" /tmp/test_pt_hook.py") == 0
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assert os.system(sys.executable+" /tmp/test_pt_hook.py") == 0
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code = '''
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import numpy as np
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import jittor as jt
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from jittor_utils import auto_diff
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from jittor.models import resnet50
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net = resnet50()
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net.train()
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hook = auto_diff.Hook("resnet50")
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hook.hook_module(net)
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np.random.seed(0)
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data = np.random.random((2,3,224,224)).astype('float32')
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data = jt.array(data)
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net(data)
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# assert auto_diff.has_error == 0, auto_diff.has_error
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'''
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with open("/tmp/test_jt_hook.py", 'w') as f:
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f.write(code)
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assert os.system(sys.executable+" /tmp/test_jt_hook.py") == 0
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if __name__ == "__main__":
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unittest.main()
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