Support index is ellipsis for getitem in static mode

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

@@ -17,6 +17,7 @@
 import unittest
 import paddle
 from paddle.fluid.framework import default_main_program, Program, convert_np_dtype_to_dtype_, in_dygraph_mode
+import paddle
 import paddle.fluid as fluid
 import paddle.fluid.layers as layers
 import paddle.fluid.core as core
@@ -218,6 +219,26 @@ def _test_slice_index_list(self, place):
         self.assertTrue((result[2] == expected[2]).all())
         self.assertTrue((result[3] == expected[3]).all())
 
+    def _test_slice_index_ellipsis(self, place):
+        data = np.random.rand(2, 3, 4).astype("float32")
+        prog = paddle.static.Program()
+        with paddle.static.program_guard(prog):
+            x = paddle.assign(data)
+            out1 = x[0:, ..., 1:]
+            out2 = x[0:, ...]
+            out3 = x[..., 1:]
+            out4 = x[...]
+
+        exe = paddle.static.Executor(place)
+        result = exe.run(prog, fetch_list=[out1, out2, out3, out4])
+
+        expected = [data[0:, ..., 1:], data[0:, ...], data[..., 1:], data[...]]
+
+        self.assertTrue((result[0] == expected[0]).all())
+        self.assertTrue((result[1] == expected[1]).all())
+        self.assertTrue((result[2] == expected[2]).all())
+        self.assertTrue((result[3] == expected[3]).all())
+
         with self.assertRaises(IndexError):
             res = x[[1, 0], [0, 0]]
 
@@ -233,6 +254,7 @@ def test_slice(self):
             self._test_slice(place)
             self._test_slice_index_tensor(place)
             self._test_slice_index_list(place)
+            self._test_slice_index_ellipsis(place)
 
     def _tostring(self):
         b = default_main_program().current_block()

python/paddle/fluid/variable_index.py

@@ -112,6 +112,7 @@ def _getitem_impl_(var, item):
 
     use_strided_slice = False
     item, none_axes = replace_none(item)
+    item = replace_ellipsis(var, item)
 
     for dim, slice_item in enumerate(item):
         if is_integer_or_scalar_tensor(slice_item):