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【UnitTestFix No.6】test_gather_op 单测 优化及新增特性 #75621

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Merged
merged 3 commits into from
Oct 10, 2025
Merged

【UnitTestFix No.6】test_gather_op 单测 优化及新增特性 #75621

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4dfc3db
feat: 增加特性以及新增特性
aztice Sep 30, 2025
4c55f8c
fix: some bugs..
aztice Oct 1, 2025
c0544d1
fix: ruff
aztice Oct 1, 2025
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78 changes: 49 additions & 29 deletions test/legacy_test/test_gather_op.py
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Original file line number Diff line number Diff line change
Expand Up @@ -101,6 +101,29 @@ def config_dtype(self):
self.x_type = "float16"


@unittest.skipIf(
not (core.is_compiled_with_cuda() or is_custom_device()),
"only support compiled with CUDA.",
)
class TestGatherGPUCPUConsistency(unittest.TestCase):
def test_gpu_cpu_consistency(self):
with paddle.base.dygraph.guard():
np.random.seed(42)
x = np.random.rand(1000, 128).astype("float32")
index = np.random.randint(0, 1000, size=(100,))
cpu_out = paddle.gather(
paddle.to_tensor(x, place=paddle.CPUPlace()),
paddle.to_tensor(index),
)
gpu_out = paddle.gather(
paddle.to_tensor(x, place=paddle.CUDAPlace(0)),
paddle.to_tensor(index),
)
np.testing.assert_allclose(
cpu_out.numpy(), gpu_out.numpy(), rtol=1e-6
)


@unittest.skipIf(
not (core.is_compiled_with_cuda() or is_custom_device())
or core.cudnn_version() < 8100
Expand Down Expand Up @@ -749,39 +772,36 @@ def test_out2(self):

class API_TestDygraphGather(unittest.TestCase):
def test_out1(self):
paddle.disable_static()
input_1 = np.array([[1, 2], [3, 4], [5, 6]])
index_1 = np.array([1, 2])
input = paddle.to_tensor(input_1)
index = paddle.to_tensor(index_1)
output = paddle.gather(input, index)
output_np = output.numpy()
expected_output = np.array([[3, 4], [5, 6]])
np.testing.assert_allclose(output_np, expected_output, rtol=1e-05)
paddle.enable_static()
with paddle.base.dygraph.guard():
input_1 = np.array([[1, 2], [3, 4], [5, 6]])
index_1 = np.array([1, 2])
input = paddle.to_tensor(input_1)
index = paddle.to_tensor(index_1)
output = paddle.gather(input, index)
output_np = output.numpy()
expected_output = np.array([[3, 4], [5, 6]])
np.testing.assert_allclose(output_np, expected_output, rtol=1e-05)

def test_out12(self):
paddle.disable_static()
input_1 = np.array([[1, 2], [3, 4], [5, 6]])
index_1 = np.array([1, 2])
x = paddle.to_tensor(input_1)
index = paddle.to_tensor(index_1)
output = paddle.gather(x, index, axis=0)
output_np = output.numpy()
expected_output = gather_numpy(input_1, index_1, axis=0)
np.testing.assert_allclose(output_np, expected_output, rtol=1e-05)
paddle.enable_static()
with paddle.base.dygraph.guard():
input_1 = np.array([[1, 2], [3, 4], [5, 6]])
index_1 = np.array([1, 2])
x = paddle.to_tensor(input_1)
index = paddle.to_tensor(index_1)
output = paddle.gather(x, index, axis=0)
output_np = output.numpy()
expected_output = gather_numpy(input_1, index_1, axis=0)
np.testing.assert_allclose(output_np, expected_output, rtol=1e-05)

def test_zero_index(self):
paddle.disable_static()
x = paddle.to_tensor([[1, 2], [3, 4]])
index = paddle.to_tensor(np.array([]).astype('int64'))
for axis in range(len(x.shape)):
out = paddle.gather(x, index, axis)
expected_shape = list(x.shape)
expected_shape[axis] = 0
self.assertEqual(list(out.shape), expected_shape)
paddle.enable_static()
with paddle.base.dygraph.guard():
x = paddle.to_tensor([[1, 2], [3, 4]])
index = paddle.to_tensor(np.array([]).astype('int64'))
for axis in range(len(x.shape)):
out = paddle.gather(x, index, axis)
expected_shape = list(x.shape)
expected_shape[axis] = 0
self.assertEqual(list(out.shape), expected_shape)

def test_large_data(self):
if not (paddle.is_compiled_with_cuda() or is_custom_device()):
Expand Down
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