support multiple var types for expand op, test=develop

paddle/fluid/operators/expand_op.cc

@@ -146,7 +146,11 @@ REGISTER_OPERATOR(expand, ops::ExpandOp, ops::ExpandOpMaker,
                   paddle::framework::DefaultGradOpDescMaker<true>);
 REGISTER_OPERATOR(expand_grad, ops::ExpandGradOp);
 REGISTER_OP_CPU_KERNEL(
-    expand, ops::ExpandKernel<paddle::platform::CPUDeviceContext, float>);
+    expand, ops::ExpandKernel<paddle::platform::CPUDeviceContext, float>,
+    ops::ExpandKernel<paddle::platform::CPUDeviceContext, double>,
+    ops::ExpandKernel<paddle::platform::CPUDeviceContext, int>,
+    ops::ExpandKernel<paddle::platform::CPUDeviceContext, bool>);
 REGISTER_OP_CPU_KERNEL(
     expand_grad,
-    ops::ExpandGradKernel<paddle::platform::CPUDeviceContext, float>);
+    ops::ExpandGradKernel<paddle::platform::CPUDeviceContext, float>,
+    ops::ExpandGradKernel<paddle::platform::CPUDeviceContext, double>);

paddle/fluid/operators/expand_op.cu

@@ -15,7 +15,11 @@ limitations under the License. */
 
 namespace ops = paddle::operators;
 REGISTER_OP_CUDA_KERNEL(
-    expand, ops::ExpandKernel<paddle::platform::CUDADeviceContext, float>);
+    expand, ops::ExpandKernel<paddle::platform::CUDADeviceContext, float>,
+    ops::ExpandKernel<paddle::platform::CUDADeviceContext, double>,
+    ops::ExpandKernel<paddle::platform::CUDADeviceContext, int>,
+    ops::ExpandKernel<paddle::platform::CUDADeviceContext, bool>);
 REGISTER_OP_CUDA_KERNEL(
     expand_grad,
-    ops::ExpandGradKernel<paddle::platform::CUDADeviceContext, float>);
+    ops::ExpandGradKernel<paddle::platform::CUDADeviceContext, float>,
+    ops::ExpandGradKernel<paddle::platform::CUDADeviceContext, double>);

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

@@ -109,5 +109,29 @@ class TestExpandOpRank4(OpTest):
         self.check_grad(['X'], 'Out')
 
 
+class TestExpandOpInteger(OpTest):
+    def setUp(self):
+        self.op_type = "expand"
+        self.inputs = {'X': np.random.random((2, 4, 5)).astype("int32")}
+        self.attrs = {'expand_times': [2, 1, 4]}
+        output = np.tile(self.inputs['X'], (2, 1, 4))
+        self.outputs = {'Out': output}
+
+    def test_check_output(self):
+        self.check_output()
+
+
+class TestExpandOpBoolean(OpTest):
+    def setUp(self):
+        self.op_type = "expand"
+        self.inputs = {'X': np.random.random((2, 4, 5)).astype("bool")}
+        self.attrs = {'expand_times': [2, 1, 4]}
+        output = np.tile(self.inputs['X'], (2, 1, 4))
+        self.outputs = {'Out': output}
+
+    def test_check_output(self):
+        self.check_output()
+
+
 if __name__ == "__main__":
     unittest.main()