Merge pull request #1286 from mfeliz-cruise/michael.feliz/square

feat: Add support for aten::square

Author: peri044

core/conversion/converters/impl/element_wise.cpp

@@ -390,6 +390,18 @@ auto element_wise_registrations TORCHTRT_UNUSED =
                LOG_DEBUG("Output tensor shape: " << out->getDimensions());
                return true;
              }})
+        .pattern(
+            {"aten::square(Tensor self) -> Tensor",
+             [](ConversionCtx* ctx, const torch::jit::Node* n, args& args) -> bool {
+               auto self = args[0].ITensorOrFreeze(ctx);
+               auto mul = add_elementwise(ctx, nvinfer1::ElementWiseOperation::kPROD, self, self, util::node_info(n));
+               TORCHTRT_CHECK(mul, "Unable to create mul layer from node: " << *n);
+
+               mul->setName(util::node_info(n).c_str());
+               auto out = ctx->AssociateValueAndTensor(n->outputs()[0], mul->getOutput(0));
+               LOG_DEBUG("Output tensor shape: " << out->getDimensions());
+               return true;
+             }})
         .pattern(
             {"aten::mul.Tensor(Tensor self, Tensor other) -> Tensor",
              [](ConversionCtx* ctx, const torch::jit::Node* n, args& args) -> bool {

tests/core/conversion/converters/test_element_wise.cpp

@@ -145,6 +145,14 @@ TEST(Converters, ATenMulConvertsCorrectly) {
   pointwise_test_helper(graph, false, true, {5}, {5}, false, at::kInt, at::kFloat);
 }
 
+TEST(Converters, ATenSquareConvertsCorrectly) {
+  const auto graph = R"IR(
+      graph(%0 : Tensor):
+        %1 : Tensor = aten::square(%0)
+        return (%1))IR";
+  pointwise_test_helper(graph, true);
+}
+
 TEST(Converters, ATenMulWithScalarConvertsCorrectly) {
   const auto graph = R"IR(
       graph(%0 : Tensor):