fix (#70489)

fangfangssj · web-flow · commit e0bc952fb4b2 · 2024-12-27T23:47:38.000+08:00
diff --git a/paddle/phi/kernels/reduce_any_kernel.cc b/paddle/phi/kernels/reduce_any_kernel.cc
@@ -15,7 +15,9 @@
 #include "paddle/phi/kernels/reduce_any_kernel.h"
 
 #include "paddle/phi/backends/all_context.h"
+#include "paddle/phi/common/int_array.h"
 #include "paddle/phi/core/kernel_registry.h"
+#include "paddle/phi/kernels/full_kernel.h"
 
 namespace phi {
 
@@ -25,6 +27,14 @@ void AnyKernel(const Context& dev_ctx,
                const std::vector<int64_t>& dims,
                bool keep_dim,
                DenseTensor* out) {
+  if (x.numel() == 0) {
+    dev_ctx.template Alloc<bool>(out);
+    if (out->numel() > 0) {
+      std::vector<int64_t> vec_dims = common::vectorize(out->dims());
+      phi::Full<bool, Context>(dev_ctx, phi::IntArray(vec_dims), 0, out);
+    }
+    return;
+  }
   bool reduce_all = recompute_reduce_all(x, dims);
   AnyRawKernel<T>(dev_ctx, x, dims, keep_dim, reduce_all, out);
 }
diff --git a/test/legacy_test/test_reduce_op.py b/test/legacy_test/test_reduce_op.py
@@ -2336,6 +2336,95 @@ def test_zero_size(self):
                         self._test_all(place, axis, keepdim, dtype)
 
 
+class TestAnyZero(unittest.TestCase):
+    def setUp(self):
+        np.random.seed(123)
+        self.shape = [1, 0, 2]
+        self.dtypes = [
+            "bool",
+            "float32",
+            "float64",
+            "int32",
+            "complex64",
+            "complex128",
+        ]
+        self.places = [base.CPUPlace()]
+        if core.is_compiled_with_cuda():
+            self.places.append(base.CUDAPlace(0))
+
+    def calculate_expected_result(self, x_np, axis, keepdim):
+        expected_result = np.any(x_np, axis=axis, keepdims=keepdim)
+        return expected_result
+
+    def check_result(
+        self, static_result, expected_result, axis, keepdim, dtype, place
+    ):
+        self.assertTrue(
+            (static_result == expected_result).all(),
+            f"Static Mode - Shape: {self.shape}, Axis: {axis}, Keepdim: {keepdim}, Dtype: {dtype}, Place: {place}",
+        )
+
+    def _test_static(self, place, axis, keepdim, dtype):
+        with static_guard():
+            with base.program_guard(
+                paddle.static.Program(), paddle.static.Program()
+            ):
+                input = paddle.static.data(
+                    name="x", shape=self.shape, dtype=dtype
+                )
+                result = paddle.any(x=input, axis=axis, keepdim=keepdim)
+                x_np = np.zeros(self.shape, dtype=dtype)
+
+                exe = base.Executor(place)
+                fetches = exe.run(
+                    feed={"x": x_np},
+                    fetch_list=[result],
+                )
+                expected_result = self.calculate_expected_result(
+                    x_np, axis, keepdim
+                )
+                self.check_result(
+                    fetches[0], expected_result, axis, keepdim, dtype, place
+                )
+
+    def _test_dygraph(self, place, axis, keepdim, dtype):
+        with dygraph_guard():
+            x_np = np.zeros(self.shape, dtype=dtype)
+            x = paddle.to_tensor(x_np)
+            dygraph_result = paddle.any(x, axis=axis, keepdim=keepdim).numpy()
+            expected_result = self.calculate_expected_result(
+                x_np, axis, keepdim
+            )
+            self.check_result(
+                dygraph_result, expected_result, axis, keepdim, dtype, place
+            )
+
+    def _test_any(self, place, axis, keepdim, dtype):
+        self._test_dygraph(place, axis, keepdim, dtype)
+        self._test_static(place, axis, keepdim, dtype)
+
+    def test_zero_size(self):
+        axes_options = [
+            None,
+            0,
+            1,
+            2,
+            -1,
+            -2,
+            (),
+            (0, 1),
+            (0, 2),
+            (1, 2),
+            (-1, -2),
+        ]
+        keepdims_options = [True, False]
+        for place in self.places:
+            for dtype in self.dtypes:
+                for axis in axes_options:
+                    for keepdim in keepdims_options:
+                        self._test_any(place, axis, keepdim, dtype)
+
+
 if __name__ == '__main__':
     paddle.enable_static()
     unittest.main()
