[Eager] fix max_pool3d_with_index interface under different mode (#45647)

* [Eager] fix max_pool3d_with_index interface under different mode

* fix mistake

* Add tests under legacy and supplement comments

python/paddle/fluid/tests/unittests/test_adaptive_max_pool3d.py

@@ -164,7 +164,7 @@ class TestAdaptiveMaxPool3DAPI(unittest.TestCase):
 
             assert np.allclose(res_5, self.res_5_np)
 
-    def test_dynamic_graph(self):
+    def func_dynamic_graph(self):
         for use_cuda in ([False, True]
                          if core.is_compiled_with_cuda() else [False]):
             place = paddle.CUDAPlace(0) if use_cuda else paddle.CPUPlace()
@@ -195,6 +195,11 @@ class TestAdaptiveMaxPool3DAPI(unittest.TestCase):
 
             assert np.allclose(out_5.numpy(), self.res_5_np)
 
+    def test_dynamic_graph(self):
+        with paddle.fluid.framework._test_eager_guard():
+            self.func_dynamic_graph()
+        self.func_dynamic_graph()
+
 
 class TestAdaptiveMaxPool3DClassAPI(unittest.TestCase):
 

python/paddle/nn/functional/pooling.py

@@ -1860,9 +1860,14 @@ def adaptive_max_pool3d(x, output_size, return_mask=False, name=None):
             output_size[2] = in_w
 
     if in_dynamic_mode():
-        pool_out = _legacy_C_ops.max_pool3d_with_index(x, 'pooling_type', 'max',
-                                                       'ksize', output_size,
-                                                       'adaptive', True)
+        if in_dygraph_mode():
+            # By default, strides is [1,1,1] and paddings is [0, 0, 0]
+            pool_out = _C_ops.max_pool3d_with_index(x, output_size, [1, 1, 1],
+                                                    [0, 0, 0], False, True)
+        elif _in_legacy_dygraph():
+            pool_out = _legacy_C_ops.max_pool3d_with_index(
+                x, 'pooling_type', 'max', 'ksize', output_size, 'adaptive',
+                True)
         return pool_out if return_mask else pool_out[0]
 
     l_type = 'max_pool3d_with_index'