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) 2021 Jittor. All Rights Reserved.
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# Maintainers: 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 jittor as jt
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import numpy as np
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from .test_core import expect_error
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from .test_grad import ngrad
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from .test_cuda import test_cuda
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class TestTernaryOp(unittest.TestCase):
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def test_with_np(self):
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np.random.seed(0)
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a = np.random.rand(5,10).astype("float32")
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b = np.random.rand(5,10).astype("float32")
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ja = jt.array(a)
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jb = jt.array(b)
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jc = jt.ternary(ja>jb, ja, jb)
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assert (jc.data==np.maximum(a,b)).all(), f"\n{jc.data}\n{np.maximum(a,b)}\n{a}\n{b}"
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jda, jdb = jt.grad(jc, [ja, jb])
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assert (jda.data==(a>b)*1).all()
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assert (jdb.data==1-(a>b)).all()
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def test_min(self):
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np.random.seed(1)
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a = np.random.rand(5,10).astype("float32")
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b = np.random.rand(5,10).astype("float32")
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ja = jt.array(a)
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jb = jt.array(b)
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jc = jt.minimum(ja,jb)
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assert (jc.data==np.minimum(a,b)).all(), f"\n{jc.data}\n{np.minimum(a,b)}\n{a}\n{b}"
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jda, jdb = jt.grad(jc, [ja, jb])
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assert (jda.data==(a<b)*1).all()
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assert (jdb.data==1-(a<b)).all()
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class TestTernaryOpCuda(TestTernaryOp, test_cuda(2)):
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pass
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if __name__ == "__main__":
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unittest.main() |