R2.3/fix pad3d infer shape (#42414)

* fix pad3d infer shape

* fix pad3d

* fix pad default value

* fix order

* add unit test

* fix unittest for ci coverage

* add ndhwc check

paddle/phi/infermeta/unary.cc

@@ -1277,24 +1277,33 @@ void Pad3dInferMeta(const MetaTensor& x,
                         "5, but received %d. ",
                         x_dim.size()));
 
-  std::vector<int64_t> out_dims(x_dim.size());
+  std::vector<int64_t> out_dims(x_dim.size(), -1);
   out_dims[0] = x_dim[0];
+  auto& paddings = paddings_int_array.GetData();
+  if (data_format == "NCDHW") {
+    out_dims[1] = x_dim[1];
+  } else {
+    out_dims[4] = x_dim[4];
+  }
   if (paddings_int_array.FromTensor()) {
     if (config.is_runtime) {
       PADDLE_ENFORCE_EQ(
-          paddings_int_array.GetData().size(),
+          paddings.size(),
           6,
           errors::InvalidArgument("Shape of Input(Paddings) should be equal to "
                                   "[6], but received [%d].",
-                                  paddings_int_array.GetData().size()));
+                                  paddings.size()));
+      if (data_format == "NCDHW") {
+        out_dims[2] = x_dim[2] + paddings[4] + paddings[5];
+        out_dims[3] = x_dim[3] + paddings[2] + paddings[3];
+        out_dims[4] = x_dim[4] + paddings[0] + paddings[1];
+      } else {
+        out_dims[1] = x_dim[1] + paddings[4] + paddings[5];
+        out_dims[2] = x_dim[2] + paddings[2] + paddings[3];
+        out_dims[3] = x_dim[3] + paddings[0] + paddings[1];
+      }
     }
-    out_dims[1] = x_dim[1];
-    out_dims[2] = x_dim[2];
-    out_dims[3] = x_dim[3];
-    out_dims[4] = x_dim[4];
   } else {
-    auto paddings = paddings_int_array.GetData();
-
     PADDLE_ENFORCE_EQ(
         paddings.size(),
         6,
@@ -1302,7 +1311,6 @@ void Pad3dInferMeta(const MetaTensor& x,
             "Size of paddings should be equal to 6, but received %d.",
             static_cast<int>(paddings.size())));
     if (data_format == "NCDHW") {
-      out_dims[1] = x_dim[1];  // channel
       out_dims[2] = ((!config.is_runtime) && (x_dim[2] < 0))
                         ? x_dim[2]
                         : (x_dim[2] + paddings[4] + paddings[5]);  // depth
@@ -1315,8 +1323,6 @@ void Pad3dInferMeta(const MetaTensor& x,
                         ? x_dim[4]
                         : (x_dim[4] + paddings[0] + paddings[1]);  // width
     } else {                                                       // NDHWC
-      out_dims[4] = x_dim[4];                                      // channel
-
       out_dims[1] = ((!config.is_runtime) && (x_dim[1] < 0))
                         ? x_dim[1]
                         : (x_dim[1] + paddings[4] + paddings[5]);  // depth

python/paddle/fluid/tests/unittests/test_pad3d_op.py

@@ -27,7 +27,6 @@ class TestPad3dOp(OpTest):
     def setUp(self):
         paddle.enable_static()
         self.value = 0.0
-        self.variable_paddings = False
         self.initTestCase()
         self.op_type = "pad3d"
         self.python_api = paddle.nn.functional.pad
@@ -84,6 +83,7 @@ class TestPad3dOp(OpTest):
         self.mode = "constant"
         self.data_format = "NCDHW"
         self.pad_value = 0.0
+        self.variable_paddings = False
 
 
 class TestCase1(TestPad3dOp):
@@ -93,6 +93,7 @@ class TestCase1(TestPad3dOp):
         self.mode = "constant"
         self.data_format = "NCDHW"
         self.value = 1.0
+        self.variable_paddings = False
 
 
 class TestCase2(TestPad3dOp):
@@ -102,6 +103,7 @@ class TestCase2(TestPad3dOp):
         self.mode = "constant"
         self.data_format = "NDHWC"
         self.value = 1.0
+        self.variable_paddings = False
 
 
 class TestCase3(TestPad3dOp):
@@ -110,6 +112,7 @@ class TestCase3(TestPad3dOp):
         self.paddings = [0, 1, 1, 0, 2, 3]
         self.mode = "reflect"
         self.data_format = "NCDHW"
+        self.variable_paddings = False
 
 
 class TestCase4(TestPad3dOp):
@@ -118,6 +121,7 @@ class TestCase4(TestPad3dOp):
         self.paddings = [0, 1, 2, 1, 2, 3]
         self.mode = "reflect"
         self.data_format = "NDHWC"
+        self.variable_paddings = False
 
 
 class TestCase5(TestPad3dOp):
@@ -126,6 +130,7 @@ class TestCase5(TestPad3dOp):
         self.paddings = [0, 1, 2, 3, 2, 1]
         self.mode = "replicate"
         self.data_format = "NCDHW"
+        self.variable_paddings = False
 
 
 class TestCase6(TestPad3dOp):
@@ -134,6 +139,7 @@ class TestCase6(TestPad3dOp):
         self.paddings = [5, 4, 2, 1, 2, 3]
         self.mode = "replicate"
         self.data_format = "NDHWC"
+        self.variable_paddings = False
 
 
 class TestCase7(TestPad3dOp):
@@ -142,6 +148,7 @@ class TestCase7(TestPad3dOp):
         self.paddings = [0, 1, 2, 3, 2, 1]
         self.mode = "circular"
         self.data_format = "NCDHW"
+        self.variable_paddings = False
 
 
 class TestCase8(TestPad3dOp):
@@ -150,6 +157,27 @@ class TestCase8(TestPad3dOp):
         self.paddings = [0, 1, 2, 1, 2, 3]
         self.mode = "circular"
         self.data_format = "NDHWC"
+        self.variable_paddings = False
+
+
+class TestCase9(TestPad3dOp):
+    def initTestCase(self):
+        self.shape = (2, 3, 4, 5, 6)
+        self.paddings = [0, 1, 2, 3, 4, 5]
+        self.mode = "constant"
+        self.data_format = "NCDHW"
+        self.value = 1.0
+        self.variable_paddings = True
+
+
+class TestCase10(TestPad3dOp):
+    def initTestCase(self):
+        self.shape = (2, 3, 4, 5, 6)
+        self.paddings = [0, 1, 2, 3, 4, 5]
+        self.mode = "constant"
+        self.data_format = "NDHWC"
+        self.value = 1.0
+        self.variable_paddings = True
 
 
 class TestPadAPI(unittest.TestCase):
@@ -681,6 +709,30 @@ class TestPad3dAPI(unittest.TestCase):
                 input_data, pad, "circular", data_format="NCDHW")
             self.assertTrue(np.allclose(output.numpy(), np_out))
 
+    def test_pad_tensor(self):
+        paddle.disable_static()
+        for place in self.places:
+            input_shape = (3, 4, 5, 6, 7)
+            pad = [1, 2, 2, 1, 1, 0]
+            pad_tensor = paddle.to_tensor(pad)
+            input_data = np.random.rand(*input_shape).astype(np.float32)
+
+            pad_reflection_ncdhw = nn.Pad3D(
+                padding=pad_tensor, mode="reflect", data_format="NCDHW")
+            pad_reflection_ndhwc = nn.Pad3D(
+                padding=pad_tensor, mode="reflect", data_format="NDHWC")
+            data = paddle.to_tensor(input_data)
+
+            output = pad_reflection_ncdhw(data)
+            np_out = self._get_numpy_out(
+                input_data, pad, "reflect", data_format="NCDHW")
+            self.assertTrue(np.allclose(output.numpy(), np_out))
+
+            output = pad_reflection_ndhwc(data)
+            np_out = self._get_numpy_out(
+                input_data, pad, "reflect", data_format="NDHWC")
+            self.assertTrue(np.allclose(output.numpy(), np_out))
+
 
 class TestPad3dOpError(unittest.TestCase):
     def setUp(self):