refactor(//cpp/bin/torchtrtc)!: Rename enabled precisions arugment to

enable-precision

BREAKING CHANGE: This is a minor change but may cause scripts
using torchtrtc to fail. We are renaming enabled-precisions to
enable-precision since it makes more sense as the argument can
be repeated

Signed-off-by: Naren Dasan <naren@narendasan.com>
Signed-off-by: Naren Dasan <narens@nvidia.com>

cpp/bin/torchtrtc/README.md

@@ -14,12 +14,12 @@ to standard TorchScript. Load with `torch.jit.load()` and run like you would run
 
 ```
 torchtrtc [input_file_path] [output_file_path]
-  [input_specs...] {OPTIONS}
+    [input_specs...] {OPTIONS}
 
-  Torch-TensorRT is a compiler for TorchScript, it will compile and optimize
-  TorchScript programs to run on NVIDIA GPUs using TensorRT
+    torchtrtc is a compiler for TorchScript, it will compile and optimize
+    TorchScript programs to run on NVIDIA GPUs using TensorRT
 
-OPTIONS:
+  OPTIONS:
 
     -h, --help                        Display this help menu
     Verbiosity of the compiler

cpp/bin/torchtrtc/main.cpp

@@ -249,11 +249,11 @@ int main(int argc, char** argv) {
   args::Flag sparse_weights(
       parser, "sparse-weights", "Enable sparsity for weights of conv and FC layers", {"sparse-weights"});
 
-  args::ValueFlagList<std::string> enabled_precision(
+  args::ValueFlagList<std::string> enabled_precisions(
       parser,
       "precision",
       "(Repeatable) Enabling an operating precision for kernels to use when building the engine (Int8 requires a calibration-cache argument) [ float | float32 | f32 | fp32 | half | float16 | f16 | fp16 | int8 | i8 | char ] (default: float)",
-      {'p', "enabled-precision"});
+      {'p', "enable-precision"});
   args::ValueFlag<std::string> device_type(
       parser,
       "type",
@@ -501,8 +501,8 @@ int main(int argc, char** argv) {
     }
   }
 
-  if (enabled_precision) {
-    for (const auto precision : args::get(enabled_precision)) {
+  if (enabled_precisions) {
+    for (const auto precision : args::get(enabled_precisions)) {
       auto dtype = parseDataType(precision);
       if (dtype == torchtrt::DataType::kFloat) {
         compile_settings.enabled_precisions.insert(torch::kF32);

docsrc/tutorials/torchtrtc.rst

@@ -17,12 +17,12 @@ to standard TorchScript. Load with ``torch.jit.load()`` and run like you would r
 .. code-block:: txt
 
     torchtrtc [input_file_path] [output_file_path]
-      [input_specs...] {OPTIONS}
+        [input_specs...] {OPTIONS}
 
-      Torch-TensorRT is a compiler for TorchScript, it will compile and optimize
-      TorchScript programs to run on NVIDIA GPUs using TensorRT
+        torchtrtc is a compiler for TorchScript, it will compile and optimize
+        TorchScript programs to run on NVIDIA GPUs using TensorRT
 
-    OPTIONS:
+      OPTIONS:
 
         -h, --help                        Display this help menu
         Verbiosity of the compiler