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[Zero-Dim] Add paddle.scale and paddle.floor_divide UT Cases #324

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Merged
qili93 merged 2 commits into from
Dec 29, 2022
Merged

[Zero-Dim] Add paddle.scale and paddle.floor_divide UT Cases #324

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f95ef33
Add scale and floor_divide ut cases
Bobholamovic Dec 28, 2022
2295e5a
Merge branch 'develop' of https://github.com/PaddlePaddle/PaddleCusto…
Bobholamovic Dec 29, 2022
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10 changes: 10 additions & 0 deletions backends/mlu/tests/unittests/test_zero_dim_tensor_mlu.py
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Original file line number Diff line number Diff line change
Expand Up @@ -626,6 +626,16 @@ def test_reverse(self):
self.assertEqual(out.shape, [])
self.assertEqual(out.grad.shape, [])

def test_scale(self):
x = paddle.rand([])
x.stop_gradient = False
out = paddle.scale(x, scale=2.0, bias=1.0)
out.backward()

self.assertEqual(out.shape, [])
self.assertEqual(out.grad.shape, [])
self.assertEqual(x.grad.shape, [])


# Use to test API whose zero-dim input tensors don't have grad and not need to test backward in OpTest.
class TestNoBackwardAPI(unittest.TestCase):
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35 changes: 35 additions & 0 deletions backends/npu/tests/unittests/test_zero_dim_tensor_npu.py
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Original file line number Diff line number Diff line change
Expand Up @@ -626,6 +626,41 @@ def test_reverse(self):
self.assertEqual(out.shape, [])
self.assertEqual(out.grad.shape, [])

def test_scale(self):
x = paddle.rand([])
x.stop_gradient = False
out = paddle.scale(x, scale=2.0, bias=1.0)
out.backward()

self.assertEqual(out.shape, [])
self.assertEqual(out.grad.shape, [])
self.assertEqual(x.grad.shape, [])

def test_floor_divide(self):
# 1-d // 0-d
x = paddle.to_tensor([1, -2, 3], dtype="int64")
y = paddle.full([], 2, dtype="int64")
out1_1 = paddle.floor_divide(x, y)
out1_2 = paddle.Tensor.__floordiv__(x, y)

np.testing.assert_array_equal(out1_1.numpy(), out1_2.numpy())
np.testing.assert_array_equal(out1_1.numpy(), np.asarray([0, -1, 1]))

# 0-d // 1-d
out2_1 = paddle.floor_divide(y, x)
out2_2 = paddle.Tensor.__floordiv__(y, x)

np.testing.assert_array_equal(out2_1.numpy(), out2_2.numpy())
np.testing.assert_array_equal(out2_2.numpy(), np.asarray([2, -1, 0]))

# 0-d // 0-d
x = paddle.full([], 3, dtype="int64")
out3_1 = paddle.floor_divide(x, y)
out3_2 = paddle.Tensor.__floordiv__(x, y)

np.testing.assert_array_equal(out3_1.numpy(), out3_2.numpy())
np.testing.assert_array_equal(out3_2.numpy(), np.asarray(1))


# Use to test API whose zero-dim input tensors don't have grad and not need to test backward in OpTest.
class TestNoBackwardAPI(unittest.TestCase):
Expand Down