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RedKnot
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sglang
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RedKnot
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python
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sglang
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benchmark
benchmark
cli
cli
eval
eval
jit_kernel
jit_kernel
lang
lang
multimodal_gen
multimodal_gen
srt
srt
test
test
README.md
README.md
__init__.py
__init__.py
_mps_stub.py
_mps_stub.py
_triton_stub.py
_triton_stub.py
auto_benchmark.py
auto_benchmark.py
auto_benchmark_lib.py
auto_benchmark_lib.py
bench_offline_throughput.py
bench_offline_throughput.py
bench_one_batch.py
bench_one_batch.py
bench_one_batch_server.py
bench_one_batch_server.py
bench_serving.py
bench_serving.py
check_env.py
check_env.py
compile_deep_gemm.py
compile_deep_gemm.py
global_config.py
global_config.py
kernel_api_logging.py
kernel_api_logging.py
launch_server.py
launch_server.py
profiler.py
profiler.py
utils.py
utils.py
version.py
version.py
README.md
Code Structure
eval: The evaluation utilities.
lang: The frontend language.
multimodal_gen: Inference framework for accelerated image/video generation.
srt: The backend engine for running local models. (SRT = SGLang Runtime).
test: The test utilities.
api.py: The public APIs.
bench_offline_throughput.py: Benchmark the performance in the offline mode.
bench_one_batch.py: Benchmark the latency of running a single static batch without a server.
bench_one_batch_server.py: Benchmark the latency of running a single batch with a server.
bench_serving.py: Benchmark online serving with dynamic requests.
check_env.py: Check the environment variables and dependencies.
global_config.py: The global configs and constants.
launch_server.py: The entry point for launching a local server.
profiler.py: The profiling entry point to send profile requests.
utils.py: Common utilities.
version.py: Version info.
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