【PaddlePaddle Hackathon 3】No.103：为 OpenVINO 实现 Paddle 算子 elementwise_mod 转换

src/core/tests/frontend/paddle/op_fuzzy.cpp

@@ -102,27 +102,31 @@ static const std::vector<std::string> models{
     std::string("elementwise_div1"),
     std::string("elementwise_max1"),
     std::string("elementwise_min1"),
+    std::string("elementwise_mod1"),
     std::string("elementwise_mul1"),
     std::string("elementwise_pow1"),
     std::string("elementwise_sub1"),
     std::string("elementwise_add2"),
     std::string("elementwise_div2"),
     std::string("elementwise_max2"),
     std::string("elementwise_min2"),
+    std::string("elementwise_mod2"),
     std::string("elementwise_mul2"),
     std::string("elementwise_pow2"),
     std::string("elementwise_sub2"),
     std::string("elementwise_add3"),
     std::string("elementwise_div3"),
     std::string("elementwise_max3"),
     std::string("elementwise_min3"),
+    std::string("elementwise_mod3"),
     std::string("elementwise_mul3"),
     std::string("elementwise_pow3"),
     std::string("elementwise_sub3"),
     std::string("elementwise_add4"),
     std::string("elementwise_div4"),
     std::string("elementwise_max4"),
     std::string("elementwise_min4"),
+    std::string("elementwise_mod4"),
     std::string("elementwise_mul4"),
     std::string("elementwise_pow4"),
     std::string("elementwise_sub4"),

src/core/tests/frontend/paddle/test_models/gen_scripts/generate_elementwise_ops.py

@@ -162,6 +162,27 @@ def elementwise_pow(name : str, x, y, axis, in_dtype):
 
     return outs[0]
 
+def elementwise_mod(name : str, x, y, axis, in_dtype):
+    import paddle
+    paddle.enable_static()
+
+    with paddle.static.program_guard(paddle.static.Program(), paddle.static.Program()):
+        node_x = paddle.static.data(name = 'x', shape = x.shape, dtype = in_dtype)
+        node_y = paddle.static.data(name = 'y', shape = y.shape, dtype = in_dtype)
+        out = paddle.fluid.layers.nn.elementwise_mod(node_x, node_y, axis=axis)
+
+        cpu = paddle.static.cpu_places(1)
+        exe = paddle.static.Executor(cpu[0])
+
+        # startup program will call initializer to initialize the parameters.
+        exe.run(paddle.static.default_startup_program())
+        outs = exe.run(
+        feed={'x': x, 'y': y},
+        fetch_list=[out])
+        saveModel(name, exe, feedkeys=['x', 'y'], fetchlist=[out], inputs=[x, y], outputs=[outs[0]], target_dir=sys.argv[1])
+
+    return outs[0]
+
 def elementwise_ops(name : str, data_x, data_y, axis, in_dtype):
     elementwise_add("elementwise_add" + name, data_x, data_y, axis, in_dtype)
     elementwise_sub("elementwise_sub" + name, data_x, data_y, axis, in_dtype)
@@ -170,6 +191,7 @@ def elementwise_ops(name : str, data_x, data_y, axis, in_dtype):
     elementwise_min("elementwise_min" + name, data_x, data_y, axis, in_dtype)
     elementwise_max("elementwise_max" + name, data_x, data_y, axis, in_dtype)
     elementwise_pow("elementwise_pow" + name, data_x, data_y, axis, in_dtype)
+    elementwise_mod("elementwise_mod" + name, data_x, data_y, axis, in_dtype)
 
 
 def main():

src/frontends/paddle/src/op/elementwise_ops.cpp

@@ -46,6 +46,10 @@ NamedOutputs elementwise_greater_equal(const NodeContext& node_context) {
     return elementwise_ops<default_opset::GreaterEqual>(node_context);
 }
 
+NamedOutputs elementwise_mod(const NodeContext& node_context) {
+    return elementwise_ops<default_opset::FloorMod>(node_context);
+}
+
 }  // namespace op
 }  // namespace paddle
 }  // namespace frontend

src/frontends/paddle/src/op_table.cpp

@@ -28,6 +28,7 @@ OP_CONVERTER(elementwise_equal);
 OP_CONVERTER(elementwise_greater_equal);
 OP_CONVERTER(elementwise_max);
 OP_CONVERTER(elementwise_min);
+OP_CONVERTER(elementwise_mod);
 OP_CONVERTER(elementwise_mul);
 OP_CONVERTER(elementwise_pow);
 OP_CONVERTER(elementwise_sub);
@@ -119,6 +120,7 @@ std::map<std::string, CreatorFunction> get_supported_ops() {
             {"elementwise_div", op::elementwise_div},
             {"elementwise_max", op::elementwise_max},
             {"elementwise_min", op::elementwise_min},
+            {"elementwise_mod", op::elementwise_mod},
             {"elementwise_mul", op::elementwise_mul},
             {"elementwise_pow", op::elementwise_pow},
             {"elementwise_sub", op::elementwise_sub},