Fix conv api name (#44636)

paddle/phi/api/yaml/sparse_api.yaml

@@ -80,7 +80,7 @@
     data_type : x
   backward : cast_grad
 
-- api : conv3d_coo
+- api : conv3d
   args : (Tensor x, Tensor kernel, int[] paddings, int[] dilations, int[] strides, int groups, bool subm, str key)
   output : Tensor(out), Tensor(rulebook), Tensor(counter) 
   kernel :

paddle/phi/tests/api/test_sparse_conv_api.cc

@@ -76,7 +76,7 @@ void TestConv3dBase(const std::vector<int>& indices,
          kernel.size() * sizeof(T));
 
   if (!std::is_same<T, phi::dtype::float16>::value) {
-    auto tensor_out = paddle::experimental::sparse::conv3d_coo(
+    auto tensor_out = paddle::experimental::sparse::conv3d(
         x, weight, paddings, dilations, strides, 1, false, "Conv3d");
 
     auto out =

python/paddle/incubate/sparse/nn/functional/conv.py

@@ -63,9 +63,9 @@ def _conv3d(x,
     dilation = convert_to_list(dilation, dims, 'dilation')
     op_type = "conv3d"
 
-    pre_bias = _C_ops.final_state_sparse_conv3d_coo(
-        x, weight, padding, dilation, stride, groups, subm,
-        key if key is not None else "")
+    pre_bias = _C_ops.final_state_sparse_conv3d(x, weight, padding, dilation,
+                                                stride, groups, subm,
+                                                key if key is not None else "")
     if bias is not None:
         values = pre_bias.values()
         add_bias = elementwise_add(values, bias, axis=1)