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benchmarks/P3L.py

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#!/usr/bin/env python3
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# SPDX-License-Identifier: Apache-2.0
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# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
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"""
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Patch-Perplexity (P3L)
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benchmarks/P3L_mling.py

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#!/usr/bin/env python3
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# SPDX-License-Identifier: Apache-2.0
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# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
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"""
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*MULTILINGUAL* Patch-Perplexity (P3L)
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benchmarks/profiling/benchmark_latency.py

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# SPDX-License-Identifier: Apache-2.0
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# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
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"""Benchmark the latency of processing a single batch of requests."""
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import argparse

benchmarks/profiling/benchmark_throughput.py

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# SPDX-License-Identifier: Apache-2.0
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# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
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"""Benchmark offline inference throughput."""
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import argparse

csrc/layernorm_kernels.cu

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#define LAUNCH_RMS_NORM(width) \
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VLLM_DISPATCH_FLOATING_TYPES(input.scalar_type(), "rms_norm_kernel", [&] { \
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vllm::rms_norm_kernel<scalar_t, width><<<grid, block, 0, stream>>>( \
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out.data_ptr<scalar_t>(), input.data_ptr<scalar_t>(), input_strtide, \
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out.data_ptr<scalar_t>(), input.data_ptr<scalar_t>(), input_stride, \
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weight.data_ptr<scalar_t>(), epsilon, num_tokens, hidden_size, \
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vec_hidden_size); \
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});

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