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[Zero-Dim] support 0D for paddle.flip #49460

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Merged
zhwesky2010 merged 1 commit into from
Dec 30, 2022
Merged

[Zero-Dim] support 0D for paddle.flip #49460

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3 changes: 3 additions & 0 deletions paddle/phi/kernels/gpu/flip_kernel.cu
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Original file line number Diff line number Diff line change
Expand Up @@ -101,6 +101,9 @@ void FlipKernel(const Context& dev_ctx,
DenseTensor* out) {
const size_t total_dims = x.dims().size();
switch (total_dims) {
case 0:
LaunchFlipCudaKernel<T, Context, 0>(dev_ctx, x, axis, out);
break;
case 1:
LaunchFlipCudaKernel<T, Context, 1>(dev_ctx, x, axis, out);
break;
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21 changes: 21 additions & 0 deletions python/paddle/fluid/tests/unittests/test_zero_dim_tensor.py
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Original file line number Diff line number Diff line change
Expand Up @@ -454,6 +454,15 @@ def setUp(self):
paddle.disable_static()
self.x = paddle.rand([])

def test_flip(self):
x = paddle.rand([])
x.stop_gradient = False
out = paddle.flip(x, axis=[])
out.backward()
self.assertEqual(x.shape, [])
self.assertEqual(out.shape, [])
self.assertEqual(out.grad.shape, [])

def test_linear(self):
x = paddle.randn([3, 2])
w = paddle.full(shape=[2, 4], fill_value=0.5)
Expand Down Expand Up @@ -753,6 +762,18 @@ def setUp(self):
paddle.enable_static()
self.exe = paddle.static.Executor()

@prog_scope()
def test_flip(self):
x = paddle.rand([])
x.stop_gradient = False
out = paddle.flip(x, axis=[])
paddle.static.append_backward(out)

program = paddle.static.default_main_program()
res1, res2 = self.exe.run(program, fetch_list=[x, out])
self.assertEqual(res1.shape, ())
self.assertEqual(res2.shape, ())

@prog_scope()
def test_pow_factor(self):
x = paddle.rand([])
Expand Down