refactor(elementwise): Lint new elementwise operators

Signed-off-by: Naren Dasan <[email protected]>
Signed-off-by: Naren Dasan <[email protected]>

Author: narendasan

core/conversion/converters/impl/element_wise.cpp

@@ -213,8 +213,8 @@ auto element_wise_registrations TRTORCH_UNUSED =
                       auto unuse = Weights();
                       // IScaleLayer assert shift, scale and power to have
                       // the same dtype
-                      auto scaleLayer = ctx->net->addScale(
-                          *self, nvinfer1::ScaleMode::kUNIFORM, unuse.data, scaleW.data, unuse.data);
+                      auto scaleLayer =
+                          ctx->net->addScale(*self, nvinfer1::ScaleMode::kUNIFORM, unuse.data, scaleW.data, unuse.data);
                       TRTORCH_CHECK(scaleLayer, "Unable to create scale layer from node: " << *n);
                       self = scaleLayer->getOutput(0);
                     }
@@ -240,8 +240,8 @@ auto element_wise_registrations TRTORCH_UNUSED =
                       auto unuse = Weights();
                       // IScaleLayer assert shift, scale and power to have
                       // the same dtype
-                      auto scaleLayer = ctx->net->addScale(
-                          *self, nvinfer1::ScaleMode::kUNIFORM, unuse.data, scaleW.data, unuse.data);
+                      auto scaleLayer =
+                          ctx->net->addScale(*self, nvinfer1::ScaleMode::kUNIFORM, unuse.data, scaleW.data, unuse.data);
                       TRTORCH_CHECK(scaleLayer, "Unable to create scale layer from node: " << *n);
                       self = scaleLayer->getOutput(0);
                     }
@@ -415,8 +415,8 @@ auto element_wise_registrations TRTORCH_UNUSED =
                     // TODO: Remove with functionalization
                     auto self = args[0].ITensorOrFreeze(ctx);
                     auto other = args[1].ITensorOrFreeze(ctx);
-                    auto floor_divide =
-                        add_elementwise(ctx, nvinfer1::ElementWiseOperation::kFLOOR_DIV, self, other, util::node_info(n));
+                    auto floor_divide = add_elementwise(
+                        ctx, nvinfer1::ElementWiseOperation::kFLOOR_DIV, self, other, util::node_info(n));
                     TRTORCH_CHECK(floor_divide, "Unable to create floor_divide layer from node: " << *n);
 
                     floor_divide->setName(util::node_info(n).c_str());
@@ -430,8 +430,8 @@ auto element_wise_registrations TRTORCH_UNUSED =
                     auto self = args[0].ITensorOrFreeze(ctx);
                     auto otherScalar = args[1].unwrapToScalar().to<float>();
                     auto other = tensor_to_const(ctx, torch::tensor({otherScalar}));
-                    auto floor_divide =
-                        add_elementwise(ctx, nvinfer1::ElementWiseOperation::kFLOOR_DIV, self, other, util::node_info(n));
+                    auto floor_divide = add_elementwise(
+                        ctx, nvinfer1::ElementWiseOperation::kFLOOR_DIV, self, other, util::node_info(n));
                     TRTORCH_CHECK(floor_divide, "Unable to create floor_divide layer from node: " << *n);
 
                     floor_divide->setName(util::node_info(n).c_str());

tests/core/conversion/converters/test_element_wise.cpp

@@ -164,7 +164,6 @@ TEST(Converters, ATenNeScalarConvertsCorrectly) {
   pointwise_test_helper(graph, true);
 }
 
-
 TEST(Converters, ATenFloorDivideConvertsCorrectly) {
   const auto graph = R"IR(
       graph(%0 : Tensor, %1 : Tensor):
@@ -177,7 +176,6 @@ TEST(Converters, ATenFloorDivideConvertsCorrectly) {
   pointwise_test_helper(graph, false, true, {4, 3}, {3, 4, 3});
 }
 
-
 TEST(Converters, ATenFloorDivideWithScalarConvertsCorrectly) {
   const auto graph = R"IR(
       graph(%0 : Tensor):