mirror of https://github.com/Jittor/Jittor
43 lines
1.5 KiB
Python
43 lines
1.5 KiB
Python
# ***************************************************************
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# Copyright (c) 2020 Jittor. Authors:
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# Dun Liang <randonlang@gmail.com>.
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# All Rights Reserved.
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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 jittor as jt
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import os
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import numpy as np
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import jittor.nn as jnn
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from jittor.test.test_log import find_log_with_re
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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 torch.nn as tnn
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except:
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skip_this_test = True
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@unittest.skipIf(skip_this_test, "No Torch found")
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class TestStd(unittest.TestCase):
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def test_std(self):
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x=np.random.randn(100,1000).astype(np.float32)
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jt_x=jt.array(x)
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tc_x=torch.from_numpy(x)
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assert np.allclose(jt_x.std().numpy(), tc_x.std().numpy(), 1e-4) ,(x, jt_x.std().numpy(), tc_x.std().numpy())
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def test_norm(self):
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x=np.random.randn(100,1000).astype(np.float32)
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jt_x=jt.array(x)
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tc_x=torch.from_numpy(x)
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assert np.allclose(jt_x.norm(1,1).numpy(), tc_x.norm(1,1).numpy())
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assert np.allclose(jt_x.norm(1,0).numpy(), tc_x.norm(1,0).numpy())
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assert np.allclose(jt_x.norm(2,1).numpy(), tc_x.norm(2,1).numpy())
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assert np.allclose(jt_x.norm(2,0).numpy(), tc_x.norm(2,0).numpy())
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if __name__ == "__main__":
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unittest.main()
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