fix fftshift/ifftshift on static mode (#36748)

* fix fftshift/ifftshift on static mode
* update roll_op version
* add more test cases for fftshift/ifftshift

paddle/fluid/operators/roll_op.cc

@@ -183,7 +183,12 @@ REGISTER_OP_VERSION(roll)
                      "(std::vector<int64_t>) Axis along which to roll. "
                      "It must have the same size with shifts, or size = 0.",
                      std::vector<int64_t>())
-            .DeleteAttr(
-                "dims",
-                "(std::vector<int64_t>) Dims along which to roll. "
-                "It must have the same size with shifts, or size = 0."));
+            .DeleteAttr("dims",
+                        "(std::vector<int64_t>) Dims along which to roll. "
+                        "It must have the same size with shifts, or size = 0."))
+    .AddCheckpoint(
+        R"ROC(Upgrade roll add a dispensable input "ShiftsTensor".)ROC",
+        paddle::framework::compatible::OpVersionDesc().NewInput(
+            "ShiftsTensor",
+            "The number of places by which the elements of"
+            "the tensor are shifted."));

python/paddle/fft.py

@@ -1300,13 +1300,13 @@ def fftshift(x, axes=None, name=None):
     shape = paddle.shape(x)
     if axes is None:
         # shift all axes
-        rank = paddle.rank(x).reshape([1])
-        axes = axes or paddle.arange(0, rank)
-        shifts = [size // 2 for size in shape]
+        rank = len(x.shape)
+        axes = list(range(0, rank))
+        shifts = shape // 2
     elif isinstance(axes, int):
         shifts = shape[axes] // 2
     else:
-        shifts = [shape[ax] // 2 for ax in axes]
+        shifts = paddle.concat([shape[ax] // 2 for ax in axes])
     return paddle.roll(x, shifts, axes, name=name)
 
 
@@ -1343,13 +1343,13 @@ def ifftshift(x, axes=None, name=None):
     shape = paddle.shape(x)
     if axes is None:
         # shift all axes
-        rank = paddle.rank(x).reshape([1])
-        axes = axes or paddle.arange(0, rank)
-        shifts = [-size // 2 for size in shape]
+        rank = len(x.shape)
+        axes = list(range(0, rank))
+        shifts = shape // 2
     elif isinstance(axes, int):
         shifts = -shape[axes] // 2
     else:
-        shifts = [-shape[ax] // 2 for ax in axes]
+        shifts = paddle.concat([-shape[ax] // 2 for ax in axes])
     return paddle.roll(x, shifts, axes, name=name)
 
 

python/paddle/fluid/tests/unittests/fft/test_fft.py

@@ -1009,10 +1009,11 @@ class TestRfftFreq(unittest.TestCase):
 
 
 @place(DEVICES)
-@parameterize((TEST_CASE_NAME, 'x', 'axes', 'dtype'), [
-    ('test_1d', np.random.randn(10), (0, ), 'float64'),
-    ('test_2d', np.random.randn(10, 10), (0, 1), 'float64'),
-])
+@parameterize(
+    (TEST_CASE_NAME, 'x', 'axes', 'dtype'),
+    [('test_1d', np.random.randn(10), (0, ), 'float64'),
+     ('test_2d', np.random.randn(10, 10), (0, 1), 'float64'),
+     ('test_2d_with_all_axes', np.random.randn(10, 10), None, 'float64')])
 class TestFftShift(unittest.TestCase):
     def test_fftshift(self):
         """Test fftshift with norm condition
@@ -1030,6 +1031,7 @@ class TestFftShift(unittest.TestCase):
 @parameterize((TEST_CASE_NAME, 'x', 'axes'), [
     ('test_1d', np.random.randn(10), (0, ), 'float64'),
     ('test_2d', np.random.randn(10, 10), (0, 1), 'float64'),
+    ('test_2d_with_all_axes', np.random.randn(10, 10), None, 'float64'),
 ])
 class TestIfftShift(unittest.TestCase):
     def test_ifftshift(self):