fix: re-enable Torch-TensorRT model generation for SM 12.1

Removes a temporary skip in qa/common/gen_qa_model_repository that previously
prevented Torch-TensorRT QA model generation on devices with compute capability
12.1 (NVIDIA GB10 / DGX Spark). The skip was added when TensorRT lacked the
required convolution kernels for SM 12.1; that gap has been resolved in
TensorRT 10.16.1.11 (current pytorch:26.05), so torchtrt_model_store builds
end-to-end on GB10 hardware.

Also bumps the copyright year on the modified file to 2026.

Author: Vinya567

qa/common/gen_qa_model_repository

@@ -1,5 +1,5 @@
 #!/bin/bash
-# Copyright 2018-2025, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# Copyright 2018-2026, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 #
 # Redistribution and use in source and binary forms, with or without
 # modification, are permitted provided that the following conditions
@@ -284,7 +284,7 @@ chmod -R 777 $TRITON_MDLS_QA_VARIABLE_SEQUENCE_IMPLICIT_MODEL
 python3 $TRITON_MDLS_SRC_DIR/gen_qa_dyna_sequence_models.py --libtorch --models_dir=$TRITON_MDLS_QA_DYNA_SEQUENCE_MODEL
 chmod -R 777 $TRITON_MDLS_QA_DYNA_SEQUENCE_MODEL
 if [ -z "$MODEL_TYPE" ] || [ "$MODEL_TYPE" != "igpu" ]; then
-  nvidia-smi --query-gpu=compute_cap | grep -qz 12.1 && echo -e '${COLOR_WARNING}[WARNING]${COLOR_RESET} Skipping model generation for Torch TensorRT${COLOR_RESET}' || python3 $TRITON_MDLS_SRC_DIR/gen_qa_torchtrt_models.py --models_dir=$TRITON_MDLS_QA_TORCHTRT_MODEL
+  python3 $TRITON_MDLS_SRC_DIR/gen_qa_torchtrt_models.py --models_dir=$TRITON_MDLS_QA_TORCHTRT_MODEL
   chmod -R 777 $TRITON_MDLS_QA_TORCHTRT_MODEL
 fi
 python3 $TRITON_MDLS_SRC_DIR/gen_qa_ragged_models.py --libtorch --models_dir=$TRITON_MDLS_QA_RAGGED_MODEL