refactor: Apply linting

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

Author: narendasan

CONTRIBUTING.md

@@ -16,7 +16,7 @@ We use the PyTorch Slack for communication about core development, integration w
 
     - Use the built in linting tools to ensure that your code matches the style guidelines
       ```sh
-      # C++ Linting (After installing clang-format)
+      # C++ Linting (After installing clang-format [Version 9.0.0])
       # Print non-conforming sections of code
       bazel run //tools/linter:cpplint_diff -- //...
       # Modify code to conform with style guidelines

core/conversion/converters/impl/plugins/interpolate_plugin.cpp

@@ -254,7 +254,8 @@ int InterpolatePlugin::enqueue(
     cudaStream_t stream) {
 #if NV_TENSORRT_MAJOR < 7 || (NV_TENSORRT_MAJOR == 7 && NV_TENSORRT_MINOR < 1)
   at::Tensor input = at::from_blob((void*)inputs[0], util::toVec(inputDesc->dims), [](void*) {}, tensor_options_);
-  at::Tensor output = at::from_blob(outputs[0], util::volume(outputDesc->dims), [](void*) {}, tensor_options_);
+  at::Tensor output = at::from_blob(
+      outputs[0], util::volume(outputDesc->dims), [](void*) {}, tensor_options_);
 
   at::cuda::CUDAStream torch_stream = at::cuda::getStreamFromPool();
   at::cuda::CUDAStreamGuard torch_guard(torch_stream);

core/lowering/register_trt_placeholder_ops.cpp

@@ -10,7 +10,10 @@ c10::AliasAnalysisKind aliasAnalysisFromSchema() {
 RegisterOperators trt_placeholder_ops_reg({
     /// Op marks a Tensor to be conveted from an Torch Tensor
     /// to a TRT constant Tensor
-    Operator("trt::const(Tensor val) -> Tensor", [](Stack* stack) {}, aliasAnalysisFromSchema()),
+    Operator(
+        "trt::const(Tensor val) -> Tensor",
+        [](Stack* stack) {},
+        aliasAnalysisFromSchema()),
 });
 
 } // namespace jit