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[Zero-Dim] Add paddle.scale and paddle.floor_divide UT Cases #49418

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Merged
zhwesky2010 merged 1 commit into from
Dec 29, 2022
Merged

[Zero-Dim] Add paddle.scale and paddle.floor_divide UT Cases #49418

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76 changes: 76 additions & 0 deletions python/paddle/fluid/tests/unittests/test_zero_dim_tensor.py
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Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -712,6 +712,41 @@ def test_scatter_nd(self):
self.assertEqual(out.numpy()[3], 2)
self.assertEqual(out.grad.shape, [5])

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))


class TestSundryAPIStatic(unittest.TestCase):
def setUp(self):
Expand Down Expand Up @@ -914,6 +949,47 @@ def test_scatter_nd(self):
self.assertEqual(res[0].shape, (5,))
self.assertEqual(res[0][3], 2)

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

prog = paddle.static.default_main_program()
res = self.exe.run(prog, fetch_list=[out])
self.assertEqual(res[0].shape, ())

@prog_scope()
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 = x // y

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

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

prog = paddle.static.default_main_program()
res = self.exe.run(
prog, fetch_list=[out1_1, out1_2, out2_1, out2_2, out3_1, out3_2]
)
out1_1, out1_2, out2_1, out2_2, out3_1, out3_2 = res

np.testing.assert_array_equal(out1_1, out1_2)
np.testing.assert_array_equal(out1_1, np.asarray([0, -1, 1]))
np.testing.assert_array_equal(out2_1, out2_2)
np.testing.assert_array_equal(out2_2, np.asarray([2, -1, 0]))
np.testing.assert_array_equal(out3_1, out3_2)
np.testing.assert_array_equal(out3_2, 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
35 changes: 35 additions & 0 deletions python/paddle/fluid/tests/unittests/xpu/test_zero_dim_tensor_xpu.py
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Original file line number Diff line number Diff line change
Expand Up @@ -521,6 +521,41 @@ def test_scatter__XD(self):
for i in range(3):
self.assertEqual(out.numpy()[1][i], updates.numpy()[i])

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