fix pybind, ComparisionKind enum export

Author: hp03

cinn/hlir/op/reduction.cc

@@ -465,17 +465,18 @@ std::vector<shape_t> InferShapeForReduction(const std::vector<shape_t> &inputs_s
   if (attrs.find("keep_dim") != attrs.end()) {
     keep_dim = absl::get<bool>(attrs.at("keep_dim"));
   }
-  CHECK(!dim.empty()) << "should have reduce dim, please check!";
-  CHECK_LE(dim.size(), inputs_shape[0].size()) << "reduce dim should no more than the input size";
   std::vector<int> out_shapes;
-  auto ndim = inputs_shape[0].size();
-  for (size_t i = 0; i < ndim; ++i) {
-    if (std::find(dim.begin(), dim.end(), i) != dim.end()) {
-      if (keep_dim) {
-        out_shapes.push_back(1);
+  if (!dim.empty()) {
+    CHECK_LE(dim.size(), inputs_shape[0].size()) << "reduce dim should no more than the input size";
+    auto ndim = inputs_shape[0].size();
+    for (size_t i = 0; i < ndim; ++i) {
+      if (std::find(dim.begin(), dim.end(), i) != dim.end()) {
+        if (keep_dim) {
+          out_shapes.push_back(1);
+        }
+      } else {
+        out_shapes.push_back(inputs_shape[0][i]);
       }
-    } else {
-      out_shapes.push_back(inputs_shape[0][i]);
     }
   }
 

cinn/pybind/frontend.cc

@@ -431,6 +431,24 @@ void BindFrontend(pybind11::module *m) {
            py::arg("padding_algorithm") = "EXPLICIT")
       .def("sum", &NetBuilder::sum, py::arg("inputs"));
 
+  py::enum_<ComparisonKind>(*m, "ComparisonKind")
+      .value("kUnk", ComparisonKind::kUnk)
+      .value("kEq", ComparisonKind::kEq)
+      .value("kNe", ComparisonKind::kNe)
+      .value("kGe", ComparisonKind::kGe)
+      .value("kGt", ComparisonKind::kGt)
+      .value("kLe", ComparisonKind::kLe)
+      .value("kLt", ComparisonKind::kLt)
+      .export_values();
+
+  py::enum_<ReduceKind>(*m, "ReduceKind")
+      .value("kUnk", ReduceKind::kUnk)
+      .value("kSum", ReduceKind::kSum)
+      .value("kProd", ReduceKind::kProd)
+      .value("kMax", ReduceKind::kMax)
+      .value("kMin", ReduceKind::kMin)
+      .export_values();
+
   py::class_<CinnBuilder, BaseBuilder>(*m, "CinnBuilder")
       .def(py::init<const std::string &>(), py::arg("name") = "")
       .def("const_scalar", &CinnBuilder::ConstScalar<bool>)
@@ -455,12 +473,12 @@ void BindFrontend(pybind11::module *m) {
            py::arg("data_format")       = "NCHW",
            py::arg("padding_algorithm") = "EXPLICIT",
            py::arg("output_shape")      = std::vector<int>{})
-      .def("compare", &CinnBuilder::Compare, py::arg("lhs"), py::arg("rhs"), py::arg("kind"))
+      .def("compare", &CinnBuilder::Compare, py::arg("lhs"), py::arg("rhs"), py::arg("kind") = ComparisonKind::kEq)
       .def("reduce",
            &CinnBuilder::Reduce,
            py::arg("operand"),
-           py::arg("kind"),
-           py::arg("dim"),
+           py::arg("kind")     = ReduceKind::kSum,
+           py::arg("dim")      = std::vector<int>{},
            py::arg("keep_dim") = false)
       .def("broadcast_to",
            &CinnBuilder::BroadcastTo,

python/tests/test_cinnbuilder.py

@@ -32,6 +32,32 @@
 enable_gpu = sys.argv.pop()
 
 
+class TestCinnBuildBasic(unittest.TestCase):
+    def setUp(self):
+        pass
+
+    def test_compare(self):
+        builder = CinnBuilder("test_compare")
+        a = builder.create_input(Float(32), (1, 24, 56, 56), "A")
+        b = builder.create_input(Float(32), (1, 24, 56, 56), "B")
+        # default compare kind is ComparisonKind.kEq
+        c = builder.compare(a, b)
+        d = builder.compare(a, c, ComparisonKind.kNe)
+        prog = builder.build()
+        for i in range(prog.size()):
+            print(prog[i])
+
+    def test_reduce(self):
+        builder = CinnBuilder("test_compare")
+        a = builder.create_input(Float(32), (1, 24, 56, 56), "A")
+        b = builder.reduce(a)
+        c = builder.reduce(a, ReduceKind.kMax)
+        d = builder.add(b, c)
+        prog = builder.build()
+        for i in range(prog.size()):
+            print(prog[i])
+
+
 class TestCinnBuilder(unittest.TestCase):
     def setUp(self):
         if enable_gpu == "ON":