mirror of
https://git.adityakumar.xyz/llama.cpp.git
synced 2024-11-09 15:29:43 +00:00
ci : integrate with ggml-org/ci (#2250)
* ci : run ctest ggml-ci * ci : add open llama 3B-v2 tests ggml-ci * ci : disable wget progress output ggml-ci * ci : add open llama 3B-v2 tg tests for q4 and q5 quantizations ggml-ci * tests : try to fix tail free sampling test ggml-ci * ci : add K-quants ggml-ci * ci : add short perplexity tests ggml-ci * ci : add README.md * ppl : add --chunks argument to limit max number of chunks ggml-ci * ci : update README
This commit is contained in:
Georgi Gerganov
GitHub
parent
6cbf9dfb32
commit
d01bccde9f
8 changed files with 312 additions and 6 deletions
5
.gitignore
vendored
5
.gitignore
vendored
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@ -16,6 +16,8 @@ build/
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build-em/
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build-debug/
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build-release/
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build-ci-debug/
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build-ci-release/
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build-static/
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build-cublas/
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build-opencl/
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@ -25,9 +27,10 @@ build-no-accel/
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build-sanitize-addr/
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build-sanitize-thread/
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out/
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tmp/
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models/*
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*.bin
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models-mnt
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/main
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/quantize
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20
ci/README.md
Normal file
20
ci/README.md
Normal file
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@ -0,0 +1,20 @@
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# CI
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In addition to [Github Actions](https://github.com/ggerganov/llama.cpp/actions) `llama.cpp` uses a custom CI framework:
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https://github.com/ggml-org/ci
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It monitors the `master` branch for new commits and runs the
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[ci/run.sh](https://github.com/ggerganov/llama.cpp/blob/master/ci/run.sh) script on dedicated cloud instances. This allows us
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to execute heavier workloads compared to just using Github Actions. Also with time, the cloud instances will be scaled
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to cover various hardware architectures, including GPU and Apple Silicon instances.
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Collaborators can optionally trigger the CI run by adding the `ggml-ci` keyword to their commit message.
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Only the branches of this repo are monitored for this keyword.
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It is a good practice, before publishing changes to execute the full CI locally on your machine:
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```bash
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mkdir tmp
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bash ./ci/run.sh ./tmp/results ./tmp/mnt
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```
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262
ci/run.sh
Normal file
262
ci/run.sh
Normal file
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@ -0,0 +1,262 @@
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#/bin/bash
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if [ -z "$2" ]; then
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echo "usage: $0 <output-dir> <mnt-dir>"
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exit 1
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fi
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mkdir -p "$1"
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mkdir -p "$2"
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OUT=$(realpath "$1")
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MNT=$(realpath "$2")
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rm -v $OUT/*.log
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rm -v $OUT/*.exit
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rm -v $OUT/*.md
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sd=`dirname $0`
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cd $sd/../
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SRC=`pwd`
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## helpers
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# download a file if it does not exist or if it is outdated
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function gg_wget {
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local out=$1
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local url=$2
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local cwd=`pwd`
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mkdir -p $out
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cd $out
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# should not re-download if file is the same
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wget -nv -N $url
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cd $cwd
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}
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function gg_printf {
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printf -- "$@" >> $OUT/README.md
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}
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function gg_run {
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ci=$1
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set -o pipefail
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set -x
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gg_run_$ci | tee $OUT/$ci.log
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cur=$?
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echo "$cur" > $OUT/$ci.exit
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set +x
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set +o pipefail
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gg_sum_$ci
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ret=$((ret | cur))
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}
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## ci
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# ctest_debug
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function gg_run_ctest_debug {
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cd ${SRC}
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rm -rf build-ci-debug && mkdir build-ci-debug && cd build-ci-debug
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set -e
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(time cmake -DCMAKE_BUILD_TYPE=Debug .. ) 2>&1 | tee -a $OUT/${ci}-cmake.log
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(time make -j ) 2>&1 | tee -a $OUT/${ci}-make.log
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(time ctest --output-on-failure -E test-opt ) 2>&1 | tee -a $OUT/${ci}-ctest.log
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set +e
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}
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function gg_sum_ctest_debug {
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gg_printf '### %s\n\n' "${ci}"
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gg_printf 'Runs ctest in debug mode\n'
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gg_printf '- status: %s\n' "$(cat $OUT/${ci}.exit)"
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gg_printf '```\n'
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gg_printf '%s\n' "$(cat $OUT/${ci}-ctest.log)"
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gg_printf '```\n'
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gg_printf '\n'
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}
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# ctest_release
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function gg_run_ctest_release {
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cd ${SRC}
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rm -rf build-ci-release && mkdir build-ci-release && cd build-ci-release
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set -e
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(time cmake -DCMAKE_BUILD_TYPE=Release .. ) 2>&1 | tee -a $OUT/${ci}-cmake.log
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(time make -j ) 2>&1 | tee -a $OUT/${ci}-make.log
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if [ -z $GG_BUILD_LOW_PERF ]; then
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(time ctest --output-on-failure ) 2>&1 | tee -a $OUT/${ci}-ctest.log
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else
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(time ctest --output-on-failure -E test-opt ) 2>&1 | tee -a $OUT/${ci}-ctest.log
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fi
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set +e
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}
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function gg_sum_ctest_release {
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gg_printf '### %s\n\n' "${ci}"
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gg_printf 'Runs ctest in release mode\n'
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gg_printf '- status: %s\n' "$(cat $OUT/${ci}.exit)"
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gg_printf '```\n'
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gg_printf '%s\n' "$(cat $OUT/${ci}-ctest.log)"
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gg_printf '```\n'
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}
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# open_llama_3b_v2
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function gg_run_open_llama_3b_v2 {
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cd ${SRC}
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gg_wget models-mnt/open-llama/3B-v2/ https://huggingface.co/openlm-research/open_llama_3b_v2/raw/main/config.json
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gg_wget models-mnt/open-llama/3B-v2/ https://huggingface.co/openlm-research/open_llama_3b_v2/resolve/main/tokenizer.model
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gg_wget models-mnt/open-llama/3B-v2/ https://huggingface.co/openlm-research/open_llama_3b_v2/raw/main/tokenizer_config.json
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gg_wget models-mnt/open-llama/3B-v2/ https://huggingface.co/openlm-research/open_llama_3b_v2/raw/main/special_tokens_map.json
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gg_wget models-mnt/open-llama/3B-v2/ https://huggingface.co/openlm-research/open_llama_3b_v2/resolve/main/pytorch_model.bin
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gg_wget models-mnt/open-llama/3B-v2/ https://huggingface.co/openlm-research/open_llama_3b_v2/raw/main/generation_config.json
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gg_wget models-mnt/wikitext/ https://s3.amazonaws.com/research.metamind.io/wikitext/wikitext-2-raw-v1.zip
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unzip -o models-mnt/wikitext/wikitext-2-raw-v1.zip -d models-mnt/wikitext/
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head -n 60 models-mnt/wikitext/wikitext-2-raw/wiki.test.raw > models-mnt/wikitext/wikitext-2-raw/wiki.test-60.raw
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path_models="../models-mnt/open-llama/3B-v2"
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path_wiki="../models-mnt/wikitext/wikitext-2-raw"
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rm -rf build-ci-release && mkdir build-ci-release && cd build-ci-release
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set -e
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(time cmake -DCMAKE_BUILD_TYPE=Release -DLLAMA_QKK_64=1 .. ) 2>&1 | tee -a $OUT/${ci}-cmake.log
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(time make -j ) 2>&1 | tee -a $OUT/${ci}-make.log
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python3 ../convert.py ${path_models}
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model_f16="${path_models}/ggml-model-f16.bin"
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model_q8_0="${path_models}/ggml-model-q8_0.bin"
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model_q4_0="${path_models}/ggml-model-q4_0.bin"
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model_q4_1="${path_models}/ggml-model-q4_1.bin"
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model_q5_0="${path_models}/ggml-model-q5_0.bin"
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model_q5_1="${path_models}/ggml-model-q5_1.bin"
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model_q3_k="${path_models}/ggml-model-q3_k.bin"
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model_q4_k="${path_models}/ggml-model-q4_k.bin"
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model_q5_k="${path_models}/ggml-model-q5_k.bin"
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model_q6_k="${path_models}/ggml-model-q6_k.bin"
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wiki_test_60="${path_wiki}/wiki.test-60.raw"
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./bin/quantize ${model_f16} ${model_q8_0} q8_0
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./bin/quantize ${model_f16} ${model_q4_0} q4_0
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./bin/quantize ${model_f16} ${model_q4_1} q4_1
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./bin/quantize ${model_f16} ${model_q5_0} q5_0
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./bin/quantize ${model_f16} ${model_q5_1} q5_1
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./bin/quantize ${model_f16} ${model_q3_k} q3_k
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./bin/quantize ${model_f16} ${model_q4_k} q4_k
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./bin/quantize ${model_f16} ${model_q5_k} q5_k
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./bin/quantize ${model_f16} ${model_q6_k} q6_k
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(time ./bin/main --model ${model_f16} -s 1234 -n 64 -p "I believe the meaning of life is" ) 2>&1 | tee -a $OUT/${ci}-tg-f16.log
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(time ./bin/main --model ${model_q8_0} -s 1234 -n 64 -p "I believe the meaning of life is" ) 2>&1 | tee -a $OUT/${ci}-tg-q8_0.log
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(time ./bin/main --model ${model_q4_0} -s 1234 -n 64 -p "I believe the meaning of life is" ) 2>&1 | tee -a $OUT/${ci}-tg-q4_0.log
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(time ./bin/main --model ${model_q4_1} -s 1234 -n 64 -p "I believe the meaning of life is" ) 2>&1 | tee -a $OUT/${ci}-tg-q4_1.log
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(time ./bin/main --model ${model_q5_0} -s 1234 -n 64 -p "I believe the meaning of life is" ) 2>&1 | tee -a $OUT/${ci}-tg-q5_0.log
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(time ./bin/main --model ${model_q5_1} -s 1234 -n 64 -p "I believe the meaning of life is" ) 2>&1 | tee -a $OUT/${ci}-tg-q5_1.log
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(time ./bin/main --model ${model_q3_k} -s 1234 -n 64 -p "I believe the meaning of life is" ) 2>&1 | tee -a $OUT/${ci}-tg-q3_k.log
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(time ./bin/main --model ${model_q4_k} -s 1234 -n 64 -p "I believe the meaning of life is" ) 2>&1 | tee -a $OUT/${ci}-tg-q4_k.log
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(time ./bin/main --model ${model_q5_k} -s 1234 -n 64 -p "I believe the meaning of life is" ) 2>&1 | tee -a $OUT/${ci}-tg-q5_k.log
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(time ./bin/main --model ${model_q6_k} -s 1234 -n 64 -p "I believe the meaning of life is" ) 2>&1 | tee -a $OUT/${ci}-tg-q6_k.log
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(time ./bin/perplexity --model ${model_f16} -f ${wiki_test_60} -c 128 -b 128 --chunks 3 ) 2>&1 | tee -a $OUT/${ci}-tg-f16.log
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(time ./bin/perplexity --model ${model_q8_0} -f ${wiki_test_60} -c 128 -b 128 --chunks 3 ) 2>&1 | tee -a $OUT/${ci}-tg-q8_0.log
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(time ./bin/perplexity --model ${model_q4_0} -f ${wiki_test_60} -c 128 -b 128 --chunks 3 ) 2>&1 | tee -a $OUT/${ci}-tg-q4_0.log
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(time ./bin/perplexity --model ${model_q4_1} -f ${wiki_test_60} -c 128 -b 128 --chunks 3 ) 2>&1 | tee -a $OUT/${ci}-tg-q4_1.log
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(time ./bin/perplexity --model ${model_q5_0} -f ${wiki_test_60} -c 128 -b 128 --chunks 3 ) 2>&1 | tee -a $OUT/${ci}-tg-q5_0.log
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(time ./bin/perplexity --model ${model_q5_1} -f ${wiki_test_60} -c 128 -b 128 --chunks 3 ) 2>&1 | tee -a $OUT/${ci}-tg-q5_1.log
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(time ./bin/perplexity --model ${model_q3_k} -f ${wiki_test_60} -c 128 -b 128 --chunks 3 ) 2>&1 | tee -a $OUT/${ci}-tg-q3_k.log
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(time ./bin/perplexity --model ${model_q4_k} -f ${wiki_test_60} -c 128 -b 128 --chunks 3 ) 2>&1 | tee -a $OUT/${ci}-tg-q4_k.log
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(time ./bin/perplexity --model ${model_q5_k} -f ${wiki_test_60} -c 128 -b 128 --chunks 3 ) 2>&1 | tee -a $OUT/${ci}-tg-q5_k.log
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(time ./bin/perplexity --model ${model_q6_k} -f ${wiki_test_60} -c 128 -b 128 --chunks 3 ) 2>&1 | tee -a $OUT/${ci}-tg-q6_k.log
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function check_ppl {
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qnt="$1"
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ppl=$(echo "$2" | grep -oE "[0-9]+\.[0-9]+" | tail -n 1)
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if [ $(echo "$ppl > 20.0" | bc) -eq 1 ]; then
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printf ' - %s @ %s (FAIL: ppl > 20.0)\n' "$qnt" "$ppl"
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return 20
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fi
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printf ' - %s @ %s OK\n' "$qnt" "$ppl"
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return 0
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}
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check_ppl "f16" "$(cat $OUT/${ci}-tg-f16.log | grep "^\[1\]")" | tee -a $OUT/${ci}-ppl.log
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check_ppl "q8_0" "$(cat $OUT/${ci}-tg-q8_0.log | grep "^\[1\]")" | tee -a $OUT/${ci}-ppl.log
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check_ppl "q4_0" "$(cat $OUT/${ci}-tg-q4_0.log | grep "^\[1\]")" | tee -a $OUT/${ci}-ppl.log
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check_ppl "q4_1" "$(cat $OUT/${ci}-tg-q4_1.log | grep "^\[1\]")" | tee -a $OUT/${ci}-ppl.log
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check_ppl "q5_0" "$(cat $OUT/${ci}-tg-q5_0.log | grep "^\[1\]")" | tee -a $OUT/${ci}-ppl.log
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check_ppl "q5_1" "$(cat $OUT/${ci}-tg-q5_1.log | grep "^\[1\]")" | tee -a $OUT/${ci}-ppl.log
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check_ppl "q3_k" "$(cat $OUT/${ci}-tg-q3_k.log | grep "^\[1\]")" | tee -a $OUT/${ci}-ppl.log
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check_ppl "q4_k" "$(cat $OUT/${ci}-tg-q4_k.log | grep "^\[1\]")" | tee -a $OUT/${ci}-ppl.log
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check_ppl "q5_k" "$(cat $OUT/${ci}-tg-q5_k.log | grep "^\[1\]")" | tee -a $OUT/${ci}-ppl.log
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check_ppl "q6_k" "$(cat $OUT/${ci}-tg-q6_k.log | grep "^\[1\]")" | tee -a $OUT/${ci}-ppl.log
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set +e
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}
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function gg_sum_open_llama_3b_v2 {
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gg_printf '### %s\n\n' "${ci}"
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gg_printf 'OpenLLaMA 3B-v2:\n'
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gg_printf '- status: %s\n' "$(cat $OUT/${ci}.exit)"
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gg_printf '- perplexity:\n%s\n' "$(cat $OUT/${ci}-ppl.log)"
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gg_printf '- f16: \n```\n%s\n```\n' "$(cat $OUT/${ci}-tg-f16.log)"
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gg_printf '- q8_0:\n```\n%s\n```\n' "$(cat $OUT/${ci}-tg-q8_0.log)"
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gg_printf '- q4_0:\n```\n%s\n```\n' "$(cat $OUT/${ci}-tg-q4_0.log)"
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gg_printf '- q4_1:\n```\n%s\n```\n' "$(cat $OUT/${ci}-tg-q4_1.log)"
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gg_printf '- q5_0:\n```\n%s\n```\n' "$(cat $OUT/${ci}-tg-q5_0.log)"
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gg_printf '- q5_1:\n```\n%s\n```\n' "$(cat $OUT/${ci}-tg-q5_1.log)"
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gg_printf '- q3_k:\n```\n%s\n```\n' "$(cat $OUT/${ci}-tg-q3_k.log)"
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gg_printf '- q4_k:\n```\n%s\n```\n' "$(cat $OUT/${ci}-tg-q4_k.log)"
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gg_printf '- q5_k:\n```\n%s\n```\n' "$(cat $OUT/${ci}-tg-q5_k.log)"
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gg_printf '- q6_k:\n```\n%s\n```\n' "$(cat $OUT/${ci}-tg-q6_k.log)"
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}
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## main
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||||
|
||||
if [ -z $GG_BUILD_LOW_PERF ]; then
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rm -rf ${SRC}/models-mnt
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||||
|
||||
mnt_models=$(realpath ${MNT}/models)
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mkdir -p ${mnt_models}
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ln -sfn ${mnt_models} ${SRC}/models-mnt
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||||
python3 -m pip install -r ${SRC}/requirements.txt
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fi
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|
||||
ret=0
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||||
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||||
#test $ret -eq 0 && gg_run ctest_debug
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||||
#test $ret -eq 0 && gg_run ctest_release
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||||
|
||||
if [ -z $GG_BUILD_LOW_PERF ]; then
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test $ret -eq 0 && gg_run open_llama_3b_v2
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fi
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||||
|
||||
exit $ret
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|
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@ -279,6 +279,12 @@ bool gpt_params_parse(int argc, char ** argv, gpt_params & params) {
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|||
break;
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||||
}
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||||
params.n_keep = std::stoi(argv[i]);
|
||||
} else if (arg == "--chunks") {
|
||||
if (++i >= argc) {
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invalid_param = true;
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||||
break;
|
||||
}
|
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params.n_chunks = std::stoi(argv[i]);
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} else if (arg == "-m" || arg == "--model") {
|
||||
if (++i >= argc) {
|
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invalid_param = true;
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||||
|
|
@ -515,6 +521,7 @@ void gpt_print_usage(int /*argc*/, char ** argv, const gpt_params & params) {
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|||
fprintf(stderr, " -b N, --batch-size N batch size for prompt processing (default: %d)\n", params.n_batch);
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||||
fprintf(stderr, " --perplexity compute perplexity over the prompt\n");
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fprintf(stderr, " --keep number of tokens to keep from the initial prompt (default: %d, -1 = all)\n", params.n_keep);
|
||||
fprintf(stderr, " --chunks N max number of chunks to process (default: %d, -1 = all)\n", params.n_chunks);
|
||||
if (llama_mlock_supported()) {
|
||||
fprintf(stderr, " --mlock force system to keep model in RAM rather than swapping or compressing\n");
|
||||
}
|
||||
|
|
|
|||
|
|
@ -28,6 +28,7 @@ struct gpt_params {
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|||
int32_t n_ctx = 512; // context size
|
||||
int32_t n_batch = 512; // batch size for prompt processing (must be >=32 to use BLAS)
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int32_t n_keep = 0; // number of tokens to keep from initial prompt
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int32_t n_chunks = -1; // max number of chunks to process (-1 = unlimited)
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int32_t n_gpu_layers = 0; // number of layers to store in VRAM
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int32_t main_gpu = 0; // the GPU that is used for scratch and small tensors
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float tensor_split[LLAMA_MAX_DEVICES] = {0}; // how split tensors should be distributed across GPUs
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|
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@ -32,13 +32,15 @@ void perplexity(llama_context * ctx, const gpt_params & params) {
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// BOS tokens will be added for each chunk before eval
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auto tokens = ::llama_tokenize(ctx, params.prompt, true);
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int count = 0;
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||||
const int n_chunk_max = tokens.size() / params.n_ctx;
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||||
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||||
const int n_chunk = tokens.size() / params.n_ctx;
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||||
const int n_chunk = params.n_chunks < 0 ? n_chunk_max : std::min(params.n_chunks, n_chunk_max);
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||||
const int n_vocab = llama_n_vocab(ctx);
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||||
const int n_batch = params.n_batch;
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||||
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||||
int count = 0;
|
||||
double nll = 0.0;
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||||
|
||||
fprintf(stderr, "%s: calculating perplexity over %d chunks, batch_size=%d\n", __func__, n_chunk, n_batch);
|
||||
|
||||
for (int i = 0; i < n_chunk; ++i) {
|
||||
|
|
|
|||
15
llama.cpp
15
llama.cpp
|
|
@ -2024,9 +2024,18 @@ void llama_sample_tail_free(struct llama_context * ctx, llama_token_data_array *
|
|||
}
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||||
|
||||
// Normalize the second derivatives
|
||||
float second_derivatives_sum = std::accumulate(second_derivatives.begin(), second_derivatives.end(), 0.0f);
|
||||
for (float & value : second_derivatives) {
|
||||
value /= second_derivatives_sum;
|
||||
{
|
||||
const float second_derivatives_sum = std::accumulate(second_derivatives.begin(), second_derivatives.end(), 0.0f);
|
||||
|
||||
if (second_derivatives_sum > 1e-6f) {
|
||||
for (float & value : second_derivatives) {
|
||||
value /= second_derivatives_sum;
|
||||
}
|
||||
} else {
|
||||
for (float & value : second_derivatives) {
|
||||
value = 1.0f / second_derivatives.size();
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
float cum_sum = 0.0f;
|
||||
|
|
|
|||
|
|
@ -200,4 +200,6 @@ int main(void) {
|
|||
test_frequency_presence_penalty({0.2f, 0.2f, 0.2f, 0.2f, 0.2f}, {0, 1, 2, 0, 0}, {0.499977f, 0.499977f, 0.000023f, 0.000023f, 0.000000f}, 5.0f, 5.0f);
|
||||
|
||||
printf("OK\n");
|
||||
|
||||
return 0;
|
||||
}
|
||||
|
|
|
|||
Loading…
Reference in a new issue