Add conv3d support

x2paddle/op_mapper/pytorch2paddle/aten.py

@@ -1315,8 +1315,10 @@ def aten__convolution(mapper, graph, node):
     weights = mapper.pytorch_params[inputs_name[1]]
     if len(weights.shape) == 3:
         op_name = name_generator("conv1d", mapper.nn_name2id)
-    else:
+    elif len(weights.shape) == 4:
         op_name = name_generator("conv2d", mapper.nn_name2id)
+    else:
+        op_name = name_generator("conv3d", mapper.nn_name2id)
     output_name = mapper._get_outputs_name(node)[0]
     layer_outputs = [op_name, output_name]
     layer_inputs = {}
@@ -1364,7 +1366,22 @@ def aten__convolution(mapper, graph, node):
     else:
         layer_attrs['in_channels'] = weights.shape[1] * mapper.attrs[
             inputs_name[8]]
-    if len(weights.shape) == 4:
+    if len(weights.shape) == 3:
+        if mapper.attrs[inputs_name[6]]:
+            graph.add_layer(
+                "paddle.nn.Conv1DTranspose",
+                inputs=layer_inputs,
+                outputs=layer_outputs,
+                scope_name=scope_name,
+                **layer_attrs)
+        else:
+            graph.add_layer(
+                "paddle.nn.Conv1D",
+                inputs=layer_inputs,
+                outputs=layer_outputs,
+                scope_name=scope_name,
+                **layer_attrs)
+    elif len(weights.shape) == 4:
         if mapper.attrs[inputs_name[6]]:
             graph.add_layer(
                 "paddle.nn.Conv2DTranspose",
@@ -1382,14 +1399,14 @@ def aten__convolution(mapper, graph, node):
     else:
         if mapper.attrs[inputs_name[6]]:
             graph.add_layer(
-                "paddle.nn.Conv1DTranspose",
+                "paddle.nn.Conv3DTranspose",
                 inputs=layer_inputs,
                 outputs=layer_outputs,
                 scope_name=scope_name,
                 **layer_attrs)
         else:
             graph.add_layer(
-                "paddle.nn.Conv1D",
+                "paddle.nn.Conv3D",
                 inputs=layer_inputs,
                 outputs=layer_outputs,
                 scope_name=scope_name,