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MD-TRT changes for release 2.13 #4358

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Merged
apbose merged 1 commit into from
Jun 22, 2026
+16 −5
Merged

MD-TRT changes for release 2.13 #4358

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3 changes: 1 addition & 2 deletions core/runtime/BUILD
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Original file line number Diff line number Diff line change
Expand Up @@ -104,8 +104,7 @@ cc_library(
"TensorRTBindingNames.h",
"runtime.h",
],
copts = if_torch_nccl(["-DUSE_C10D_NCCL"]),
defines = select({
defines = if_torch_nccl(["USE_C10D_NCCL"]) + select({
# nvinfer1::IRuntimeConfig (and the matching ICudaEngine::createRuntimeConfig
# / createExecutionContext(IRuntimeConfig*) overloads) was introduced in
# TensorRT 10.11. The TensorRT shipped with the Jetpack l4t-r36.4 toolchain
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6 changes: 3 additions & 3 deletions py/torch_tensorrt/_utils.py
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Expand Up @@ -135,7 +135,7 @@ def is_platform_supported_for_trtllm() -> bool:
return True

except Exception as e:
logger.warning(f"Failed to detect CUDA version: {e}")
logger.info(f"Failed to detect CUDA version: {e}")
return False

return True
Expand Down Expand Up @@ -236,7 +236,7 @@ def download_and_get_plugin_lib_path() -> Optional[str]:
wheel_path.unlink(missing_ok=True)
logger.debug(f"Deleted wheel file: {wheel_path}")
except Exception as e:
logger.warning(f"Could not delete wheel file {wheel_path}: {e}")
logger.info(f"Could not delete wheel file {wheel_path}: {e}")
if not plugin_lib_path.exists():
logger.error(
f"Plugin library not found at expected location: {plugin_lib_path}"
Expand Down Expand Up @@ -356,7 +356,7 @@ def load_tensorrt_llm_for_nccl() -> bool:
"on",
)
if not use_trtllm_plugin:
logger.warning(
logger.info(
"Neither TRTLLM_PLUGIN_PATH is set nor is it directed to download the shared library. Please set either of the two to use TRT-LLM libraries in torchTRT"
)
return False
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12 changes: 12 additions & 0 deletions py/torch_tensorrt/dynamo/conversion/_TRTInterpreter.py
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Expand Up @@ -199,6 +199,18 @@ def _populate_trt_builder_config(
) -> trt.IBuilderConfig:
builder_config = self.builder.create_builder_config()

# Enable TRT's native multi-device runtime preview feature when the
# Torch-TRT runtime was built with NCCL collectives support. Without
# this, IBuilder::buildEngineWithConfig() rejects networks that contain
# IDistCollectiveLayer with "PreviewFeature::kMULTIDEVICE_RUNTIME_10_16
# is not enabled in the builder config".
if ENABLED_FEATURES.native_trt_collectives and hasattr(
trt.PreviewFeature, "MULTIDEVICE_RUNTIME_10_16"
):
builder_config.set_preview_feature(
trt.PreviewFeature.MULTIDEVICE_RUNTIME_10_16, True
)

if self._debugger_config and self._debugger_config.engine_builder_monitor:
builder_config.progress_monitor = TRTBulderMonitor()

Expand Down
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