fix stackoverflow case13 gather (#50243)

paddle/phi/infermeta/binary.cc

@@ -1321,6 +1321,27 @@ void GatherInferMeta(const MetaTensor& x,
 
   auto input_dim = x.dims();
   auto axis_v = axis.to<int>();
+  if (axis_v < 0) axis_v += input_dim.size();
+
+  PADDLE_ENFORCE_GE(
+      axis_v,
+      (0 - input_dim.size()),
+      phi::errors::OutOfRange(
+          "Attr(axis) is out of range, It's expected "
+          "to be in range of [%d, %d]. But received Attr(axis) = %d.",
+          -input_dim.size(),
+          input_dim.size() - 1,
+          axis_v));
+  PADDLE_ENFORCE_LT(
+      axis_v,
+      input_dim.size(),
+      phi::errors::OutOfRange(
+          "Attr(axis) is out of range, It's expected "
+          "to be in range of [%d, %d]. But received Attr(axis) = %d.",
+          -input_dim.size(),
+          input_dim.size() - 1,
+          axis_v));
+
   if (index_dims.size() == 0) {
     // 0D index will decrease the dimension
     if (input_dim.size() == 1) {

python/paddle/fluid/tests/unittests/test_gather_op.py

@@ -385,6 +385,29 @@ class TestGathertError(unittest.TestCase):
 
             self.assertRaises(TypeError, test_index_type)
 
+    def test_error3(self):
+        with paddle.static.program_guard(
+            paddle.static.Program(), paddle.static.Program()
+        ):
+
+            shape = [8, 9, 6]
+            x = paddle.fluid.data(shape=shape, dtype='int32', name='x')
+            axis = paddle.fluid.data(shape=[1], dtype='int32', name='axis')
+            index = paddle.fluid.data(shape=shape, dtype='int32', name='index')
+            index_float = paddle.fluid.data(
+                shape=shape, dtype='float32', name='index_float'
+            )
+
+            def test_axis_minsize():
+                paddle.gather(x, index, axis=-1)
+
+            self.assertRaises(ValueError, test_axis_minsize)
+
+            def test_axis_maxsize():
+                paddle.gather(x, index, axis=512)
+
+            self.assertRaises(ValueError, test_axis_maxsize)
+
 
 class TestCheckOutType(unittest.TestCase):
     def test_out_type(self):