add license

runtime/triton_trtllm/Dockerfile.server

@@ -2,9 +2,4 @@ FROM nvcr.io/nvidia/tritonserver:25.02-trtllm-python-py3
 RUN apt-get update && apt-get install -y cmake
 RUN git clone https://github.com/pytorch/audio.git && cd audio && git checkout c670ad8 && PATH=/usr/local/cuda/bin:$PATH python3 setup.py develop
 RUN pip install einx==0.3.0 omegaconf==2.3.0 soundfile==0.12.1 soxr==0.5.0.post1 gradio tritonclient librosa
-WORKDIR /workspace
-
-
-
-
-
+WORKDIR /workspace

runtime/triton_trtllm/client_http.py

@@ -1,3 +1,28 @@
+# Copyright 2025, 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
+# are met:
+#  * Redistributions of source code must retain the above copyright
+#    notice, this list of conditions and the following disclaimer.
+#  * Redistributions in binary form must reproduce the above copyright
+#    notice, this list of conditions and the following disclaimer in the
+#    documentation and/or other materials provided with the distribution.
+#  * Neither the name of NVIDIA CORPORATION nor the names of its
+#    contributors may be used to endorse or promote products derived
+#    from this software without specific prior written permission.
+#
+# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS ``AS IS'' AND ANY
+# EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
+# IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
+# PURPOSE ARE DISCLAIMED.  IN NO EVENT SHALL THE COPYRIGHT OWNER OR
+# CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,
+# EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
+# PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR
+# PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY
+# OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
+# (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
+# OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
 import requests
 import soundfile as sf
 import json

runtime/triton_trtllm/run.sh

@@ -1,5 +1,3 @@
-
-
 export PYTHONPATH=../../../Spark-TTS/
 export CUDA_VISIBLE_DEVICES=0
 stage=$1
@@ -67,10 +65,4 @@ if [ $stage -le 4 ] && [ $stop_stage -ge 4 ]; then
         --model-name spark_tts \
         --num-tasks $num_task \
         --log-dir ./log_concurrent_tasks_${num_task}
-fi
-
-
-
-
-
-
+fi