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 "enabledprecisions should not be used when useexplicittyping=True", sees Dynamo graph breaks or PyTorch fallback, debugs ABI errors at import torchtensorrt, or needs the compatible torch / torchtensorrt / tensorrt-cu13 version pins for TensorRT 11. Triggers: torchtensorrt, torchtensorrt.dynamo.compile, torch.compile backend torchtensorrt, pytorch to tensorrt, ExportedProgram, Dynamo graph break, useexplicittyping, enabledprecisions, torchtensorrt.Input, minblocksize, truncatedouble, tensorrt-cu13, version pinning, version compatibility. Adjacent skills: trt-onnx-quickstart, trt-cpp-runtime-quickstart. LLM token generation belongs in TensorRT-LLM.
Install with
Claude CodeCodexCursorGitHub CopilotGemini CLI
Supported by the Atlas install prompt. Skill-specific requirements vary.
Skill stats
Skills1CategoryGeneralStars0
About this skill
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 "enabledprecisions should not be used when useexplicittyping=True", sees Dynamo graph breaks or PyTorch fallback, debugs ABI errors at import torchtensorrt, or needs the compatible torch / torchtensorrt / tensorrt-cu13 version pins for TensorRT 11. Triggers: torchtensorrt, torchtensorrt.dynamo.compile, torch.compile backend torchtensorrt, pytorch to tensorrt, ExportedProgram, Dynamo graph break, useexplicittyping, enabledprecisions, torchtensorrt.Input, minblocksize, truncatedouble, tensorrt-cu13, version pinning, version compatibility. Adjacent skills: trt-onnx-quickstart, trt-cpp-runtime-quickstart. LLM token generation belongs in TensorRT-LLM.
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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.
About this listing
Category
General
Reported license
Apache-2.0
Listing language (estimated)
English
Review status
Not individually reviewed
Agent compatibility
Atlas installation supports Claude Code, Codex, and Cursor. Skill-specific dependencies and features are checked during setup.
Claude Code
Codex
Cursor
GitHub Copilot
Gemini CLI