trt-torch-quickstart

Compile a PyTorch model to a TensorRT engine via Torch-TensorRT — AOT or JIT — under the new strong-typing default. Use when the user compiles PyTorch to TensorRT without ONNX, hits "enabled_precisions should not be used when use_explicit_typing=True", sees Dynamo graph breaks or PyTorch fallback, debugs ABI errors at import torch_tensorrt, or needs the compatible torch / torch_tensorrt / tensorrt-cu13 version pins for TensorRT 11. Triggers: torch_tensorrt, torch_tensorrt.dynamo.compile, torch.compile backend torch_tensorrt, pytorch to tensorrt, ExportedProgram, Dynamo graph break, use_explicit_typing, enabled_precisions, torch_tensorrt.Input, min_block_size, truncate_double, tensorrt-cu13, version pinning, version compatibility. Adjacent skills: `trt-onnx-quickstart`, `trt-cpp-runtime-quickstart`. LLM token generation belongs in TensorRT-LLM.