From f520d5016d54f87e423d55c7a0aada180881961c Mon Sep 17 00:00:00 2001 From: functionstackx <47992694+functionstackx@users.noreply.github.com> Date: Wed, 15 Jul 2026 13:22:54 -0400 Subject: [PATCH] =?UTF-8?q?Revert=20"Add=20Kimi=20K2.6=20NVFP4=20B300=20EA?= =?UTF-8?q?GLE3=20AgentX=20benchmark=20/=20=E6=96=B0=E5=A2=9E=20Kimi=20K2.?= =?UTF-8?q?6=20NVFP4=20B300=20EAGLE3=20AgentX=20=E5=9F=BA=E5=87=86?= =?UTF-8?q?=E6=B5=8B=E8=AF=95=20(#2158)"?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit This reverts commit ececf32b7c2a25c0fd1624c90491727829566c10. --- .../agentic/kimik2.5_fp4_b300_mtp.sh | 125 ------------------ configs/nvidia-master.yaml | 18 --- perf-changelog.yaml | 7 - runners/launch_b300-nv.sh | 1 - utils/process_changelog.py | 2 +- 5 files changed, 1 insertion(+), 152 deletions(-) delete mode 100755 benchmarks/single_node/agentic/kimik2.5_fp4_b300_mtp.sh diff --git a/benchmarks/single_node/agentic/kimik2.5_fp4_b300_mtp.sh b/benchmarks/single_node/agentic/kimik2.5_fp4_b300_mtp.sh deleted file mode 100755 index 452fd244ae..0000000000 --- a/benchmarks/single_node/agentic/kimik2.5_fp4_b300_mtp.sh +++ /dev/null @@ -1,125 +0,0 @@ -#!/usr/bin/env bash -set -euo pipefail -set -x - -source "$(dirname "$0")/../../benchmark_lib.sh" - -check_env_vars MODEL TP CONC KV_OFFLOADING TOTAL_CPU_DRAM_GB RESULT_DIR DURATION - - -if [[ -n "${SLURM_JOB_ID:-}" ]]; then - echo "JOB $SLURM_JOB_ID running on ${SLURMD_NODENAME:-unknown}" -fi - -DRAFT_MODEL="lightseekorg/kimi-k2.6-eagle3-mla" - -if [[ -n "${MODEL_PATH:-}" ]]; then - if [[ ! -d "$MODEL_PATH" || -z "$(ls -A "$MODEL_PATH" 2>/dev/null)" ]]; then - hf download "$MODEL" --local-dir "$MODEL_PATH" - fi - DRAFT_MODEL_PATH="/data/models/${DRAFT_MODEL##*/}" - if [[ ! -d "$DRAFT_MODEL_PATH" || -z "$(ls -A "$DRAFT_MODEL_PATH" 2>/dev/null)" ]]; then - hf download "$DRAFT_MODEL" --local-dir "$DRAFT_MODEL_PATH" - fi -else - hf download "$MODEL" - export MODEL_PATH="$MODEL" - hf download "$DRAFT_MODEL" - DRAFT_MODEL_PATH="$DRAFT_MODEL" -fi -nvidia-smi - -resolve_trace_source -install_agentic_deps - -SERVER_LOG="$RESULT_DIR/server.log" -mkdir -p "$RESULT_DIR" - -SERVER_PID="" - -cleanup_agentic_services() { - local exit_code=$? - trap - EXIT INT TERM - set +e - stop_background_process_tree "$SERVER_PID" "vLLM server" 60 - exit "$exit_code" -} -trap cleanup_agentic_services EXIT -trap 'exit 130' INT -trap 'exit 143' TERM - -DCP_SIZE="${DCP_SIZE:-1}" -DCP_ARGS=() -if [[ "$DCP_SIZE" -gt 1 ]]; then - DCP_ARGS+=(--decode-context-parallel-size "$DCP_SIZE" --dcp-comm-backend a2a) - NUM_SPEC_TOKENS=3 - SYNTHETIC_ACCEPT_LEN=2.88 - SPEC_ARGS=(--speculative-config "{\"method\":\"eagle3\",\"model\":\"$DRAFT_MODEL_PATH\",\"num_speculative_tokens\":$NUM_SPEC_TOKENS,\"rejection_sample_method\":\"synthetic\",\"synthetic_acceptance_length\":$SYNTHETIC_ACCEPT_LEN,\"attention_backend\":\"TOKENSPEED_MLA\"}") - ATTN_CONFIG='{"mla_prefill_backend":"TOKENSPEED_MLA"}' - COMPILATION_CONFIG='{"pass_config":{"fuse_allreduce_rms":false}}' -else - NUM_SPEC_TOKENS=4 - SYNTHETIC_ACCEPT_LEN=3.24 - SPEC_ARGS=(--speculative-config "{\"method\":\"eagle3\",\"model\":\"$DRAFT_MODEL_PATH\",\"num_speculative_tokens\":$NUM_SPEC_TOKENS,\"rejection_sample_method\":\"synthetic\",\"synthetic_acceptance_length\":$SYNTHETIC_ACCEPT_LEN}") - ATTN_CONFIG='{"mla_prefill_backend":"TRTLLM_RAGGED","use_prefill_query_quantization":true}' - COMPILATION_CONFIG='{"cudagraph_mode":"FULL_AND_PIECEWISE","custom_ops":["all"]}' -fi -ATTN_BACKEND_ARGS=(--attention-backend TOKENSPEED_MLA) - -OFFLOAD_ARGS=() - -if agentic_kv_offload_enabled; then - case "$KV_OFFLOAD_BACKEND" in - native) - export VLLM_USE_SIMPLE_KV_OFFLOAD=1 - CPU_OFFLOAD_BYTES=$((TOTAL_CPU_DRAM_GB * 1024 * 1024 * 1024)) - OFFLOAD_ARGS=( - --disable-hybrid-kv-cache-manager - --kv-transfer-config - "{\"kv_connector\":\"SimpleCPUOffloadConnector\",\"kv_role\":\"kv_both\",\"kv_connector_extra_config\":{\"cpu_bytes_to_use\":$CPU_OFFLOAD_BYTES,\"lazy_offload\":false}}" - ) - ;; - *) echo "Error: unsupported KV_OFFLOAD_BACKEND value '$KV_OFFLOAD_BACKEND' with EAGLE3 (expected: native)" >&2; exit 1 ;; - esac -fi - - -echo "Starting vllm server..." -export PYTHONNOUSERSITE=1 - -export VLLM_FLASHINFER_ALLREDUCE_BACKEND=trtllm - -{ set +x; } 2>/dev/null -VLLM_CMD=( - vllm serve "$MODEL_PATH" --served-model-name "$MODEL" - --host 0.0.0.0 - --port "$PORT" - --kv-cache-dtype fp8 - --trust-remote-code - --block-size 64 - --language-model-only - --gpu-memory-utilization 0.90 - --max-num-seqs "$CONC" - "${ATTN_BACKEND_ARGS[@]}" - --attention-config "$ATTN_CONFIG" - --compilation-config "$COMPILATION_CONFIG" - --max-cudagraph-capture-size 2048 - --max-num-batched-tokens 16384 - --stream-interval 10 - --enable-prefix-caching - --tensor-parallel-size "$TP" - "${SPEC_ARGS[@]}" - "${DCP_ARGS[@]}" - "${OFFLOAD_ARGS[@]}" -) -printf '%q ' "${VLLM_CMD[@]}" | tee "$RESULT_DIR/vllm_command.txt" -printf '\n' | tee -a "$RESULT_DIR/vllm_command.txt" -"${VLLM_CMD[@]}" > "$SERVER_LOG" 2>&1 & -SERVER_PID=$! -echo "Server PID: $SERVER_PID" - -wait_for_server_ready --port "$PORT" --server-log "$SERVER_LOG" --server-pid "$SERVER_PID" - -build_replay_cmd "$RESULT_DIR" - -run_agentic_replay_and_write_outputs "$RESULT_DIR" diff --git a/configs/nvidia-master.yaml b/configs/nvidia-master.yaml index e35f9a2223..73327351e1 100644 --- a/configs/nvidia-master.yaml +++ b/configs/nvidia-master.yaml @@ -2989,24 +2989,6 @@ kimik2.5-fp4-b300-vllm-agentic: - { tp: 8, ep: 1, kv-offloading: none, conc-list: [1, 2, 4, 8, 16, 32, 40, 48, 56, 64] } - { tp: 8, ep: 1, kv-offloading: dram, kv-offload-backend: { name: vllm-simple }, conc-list: [1, 2, 4, 8, 16, 32, 40, 48, 56, 64] } -kimik2.5-fp4-b300-vllm-agentic-mtp: - image: vllm/vllm-openai:nightly-94c0ef300180f8fd1071d9cbe7270a8348155f94 - model: Kimi-K2.6-NVFP4 - model-prefix: kimik2.5 - runner: cluster:b300-nv - precision: fp4 - framework: vllm - multinode: false - scenarios: - agentic-coding: - - dram-utilization: 0.80 - search-space: - - { tp: 8, ep: 1, spec-decoding: mtp, kv-offloading: none, conc-list: [1] } - - { tp: 4, ep: 1, spec-decoding: mtp, kv-offloading: none, conc-list: [2, 4, 8] } - - { tp: 4, ep: 1, spec-decoding: mtp, kv-offloading: dram, kv-offload-backend: { name: native }, conc-list: [8, 16, 32] } - - { tp: 4, ep: 1, spec-decoding: mtp, dcp-size: 4, kv-offloading: none, conc-list: [32, 64, 80, 96, 112, 128] } - - { tp: 4, ep: 1, spec-decoding: mtp, dcp-size: 4, kv-offloading: dram, kv-offload-backend: { name: native }, conc-list: [64, 80, 96, 112, 128, 144, 160] } - dsr1-fp8-b200-trt: image: nvcr.io#nvidia/tensorrt-llm/release:1.3.0rc14 model: deepseek-ai/DeepSeek-R1-0528 diff --git a/perf-changelog.yaml b/perf-changelog.yaml index 4f0e4e4f12..cd0320fa99 100644 --- a/perf-changelog.yaml +++ b/perf-changelog.yaml @@ -4782,13 +4782,6 @@ - "Clean the export envs" pr-link: https://github.com/SemiAnalysisAI/InferenceX/pull/2198 -- config-keys: - - kimik2.5-fp4-b300-vllm-agentic-mtp - description: - - "Add EAGLE3 speculative-decoding arm for the Kimi K2.6 NVFP4 B300 AgentX recipe (draft lightseekorg/kimi-k2.6-eagle3-mla, TOKENSPEED_MLA attention backend with TRT-LLM ragged MLA kernel)." - - "TP8/TP4 GPU-only KV points plus a TP4 native CPU-offload ladder via SimpleCPUOffloadConnector with lazy_offload off; TP4/DCP4 high-concurrency points (conc 32/64) using num_speculative_tokens=3 and synthetic_acceptance_length=2.88." - pr-link: https://github.com/SemiAnalysisAI/InferenceX/pull/2158 - - config-keys: - kimik2.5-fp4-b300-vllm-agentic-mtp description: diff --git a/runners/launch_b300-nv.sh b/runners/launch_b300-nv.sh index 2c0f93fc8b..6810ee5d85 100644 --- a/runners/launch_b300-nv.sh +++ b/runners/launch_b300-nv.sh @@ -352,7 +352,6 @@ else Kimi-K2.5 Kimi-K2.5-NVFP4 Kimi-K2.6 - Kimi-K2.6-NVFP4 MiniMax-M2.5 MiniMax-M2.5-NVFP4 MiniMax-M2.7 diff --git a/utils/process_changelog.py b/utils/process_changelog.py index c293dc2f80..311c8c9e22 100644 --- a/utils/process_changelog.py +++ b/utils/process_changelog.py @@ -270,7 +270,7 @@ def main(): # Validate final results structure validated = ChangelogMatrixEntry.model_validate(final_results) - print(validated.model_dump_json(by_alias=True, exclude_none=True)) + print(validated.model_dump_json(by_alias=True)) if __name__ == "__main__":