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tests : add integration test for lora adapters (#8957)
* Add printing to check weights match torch version * minor code style changes --------- Co-authored-by: Xuan Son Nguyen <son@huggingface.co>
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ltoniazzi
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@ -129,3 +129,6 @@ poetry.toml
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# Scripts
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!/scripts/install-oneapi.bat
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# Test models for lora adapters
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/lora-tests
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139
tests/test-lora-conversion-inference.sh
Executable file
139
tests/test-lora-conversion-inference.sh
Executable file
@ -0,0 +1,139 @@
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#!/bin/bash
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set -e
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# Array of models to iterate over
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declare -a params=(
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"Gemma2ForCausalLM 64"
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"LlamaForCausalLM 64"
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"Phi3ForCausalLM 64"
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)
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MODELS_REPO=lora-tests
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MODELS_REPO_URL=https://huggingface.co/ggml-org/$MODELS_REPO
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# Clone the Hugging Face repository if the directory does not exist
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if [ ! -d "$MODELS_REPO" ]; then
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echo "Cloning the Hugging Face repository..."
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git clone $MODELS_REPO_URL
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else
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echo "Repository already exists. Skipping clone."
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fi
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# Array to store results to print
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results=()
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trim_leading_whitespace() {
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local input_string="$1"
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echo "${input_string#"${input_string%%[![:space:]]*}"}"
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}
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extract_starting_substring() {
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local reference_string="$1"
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local target_string="$2"
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local target_length=${#target_string}
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echo "${reference_string:0:$target_length}"
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}
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get_first_word() {
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local input_string="$1"
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read -r first_word _ <<< "$input_string"
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echo "$first_word"
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}
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# Load the expected strings
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EXPECTED_BASE_FULL=$(cat $MODELS_REPO/data/pale_blue_dot.txt)
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EXPECTED_LORA_FULL=$(cat $MODELS_REPO/data/bohemian_rhapsody.txt)
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EXPECTED_BASE_FIRST_WORD=$(get_first_word "$EXPECTED_BASE_FULL")
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EXPECTED_LORA_FIRST_WORD=$(get_first_word "$EXPECTED_LORA_FULL")
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run_conversion_and_inference_lora() {
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local model_name=$1
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local hidden_size=$2
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echo -e "\n\n-------- RUNNING TEST FOR MODEL $model_name --------\n\n"
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# Convert safetensors to gguf
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echo "Running convert_hf_to_gguf.py for $model_name with hidden_size $hidden_size..."
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python convert_hf_to_gguf.py $MODELS_REPO/$model_name/hidden_size=$hidden_size/base \
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--outfile $MODELS_REPO/$model_name/hidden_size=$hidden_size/base/Base-F32.gguf \
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--outtype f32
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echo -e "\n\n---------------------------\n\n"
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echo "Running convert_lora_to_gguf.py for $model_name with hidden_size $hidden_size..."
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python3 convert_lora_to_gguf.py $MODELS_REPO/$model_name/hidden_size=$hidden_size/lora \
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--base $MODELS_REPO/$model_name/hidden_size=$hidden_size/base \
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--outtype f32
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echo -e "\n\n---------------------------\n\n"
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echo "Running llama-export-lora with lora for $model_name with hidden_size $hidden_size..."
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./llama-export-lora \
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-m $MODELS_REPO/$model_name/hidden_size=$hidden_size/base/Base-F32.gguf \
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-o $MODELS_REPO/$model_name/hidden_size=$hidden_size/base/Base-F32-lora-merged.gguf \
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--lora $MODELS_REPO/$model_name/hidden_size=$hidden_size/lora/Lora-F32-LoRA.gguf
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# Run inference
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echo -e "\n\n---------------------------\n\n"
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echo "Running llama-cli without lora for $model_name with hidden_size $hidden_size..."
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OUTPUT_BASE=$(./llama-cli -m $MODELS_REPO/$model_name/hidden_size=$hidden_size/base/Base-F32.gguf \
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-p "$EXPECTED_BASE_FIRST_WORD" -n 50 --seed 42 --temp 0)
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echo -e "\n\n---------------------------\n\n"
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echo "Running llama-cli with hot lora for $model_name with hidden_size $hidden_size..."
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OUTPUT_LORA_HOT=$(./llama-cli -m $MODELS_REPO/$model_name/hidden_size=$hidden_size/base/Base-F32.gguf \
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--lora $MODELS_REPO/$model_name/hidden_size=$hidden_size/lora/Lora-F32-LoRA.gguf \
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-p "$EXPECTED_LORA_FIRST_WORD" -n 50 --seed 42 --temp 0)
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echo -e "\n\n---------------------------\n\n"
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echo "Running llama-cli with merged lora for $model_name with hidden_size $hidden_size..."
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OUTPUT_LORA_MERGED=$(./llama-cli -m $MODELS_REPO/$model_name/hidden_size=$hidden_size/base/Base-F32-lora-merged.gguf \
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-p "$EXPECTED_LORA_FIRST_WORD" -n 50 --seed 42 --temp 0)
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# Remove any initial white space
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OUTPUT_BASE=$(trim_leading_whitespace "$OUTPUT_BASE")
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OUTPUT_LORA_HOT=$(trim_leading_whitespace "$OUTPUT_LORA_HOT")
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OUTPUT_LORA_MERGED=$(trim_leading_whitespace "$OUTPUT_LORA_MERGED")
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# Extract the corresponding substring from full string
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EXPECTED_BASE=$(extract_starting_substring "$EXPECTED_BASE_FULL" "$OUTPUT_BASE")
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EXPECTED_LORA=$(extract_starting_substring "$EXPECTED_LORA_FULL" "$OUTPUT_LORA_HOT")
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# Assert output equals the expected output
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if [[ "$OUTPUT_BASE" != "$EXPECTED_BASE" ]]; then
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echo "Error: $model_name OUTPUT_BASE does not start with the expected string."
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echo -e "Out=$OUTPUT_BASE\n\nExp=$EXPECTED_BASE"
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exit 1
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fi
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if [[ "$OUTPUT_LORA_HOT" != "$EXPECTED_LORA" ]]; then
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echo "Error: $model_name OUTPUT_LORA_HOT does not start with the expected string."
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echo -e "Out=$OUTPUT_LORA_HOT\n\nExp=$EXPECTED_LORA"
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exit 1
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fi
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if [[ "$OUTPUT_LORA_MERGED" != "$EXPECTED_LORA" ]]; then
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echo "Error: $model_name OUTPUT_LORA_MERGED does not start with the expected string."
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echo -e "Out=$OUTPUT_LORA_MERGED\n\nExp=$EXPECTED_LORA"
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exit 1
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fi
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# Store the results
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results+=("
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\n\033[1mResults for $model_name with hidden_size $hidden_size:\033[0m
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\n\033[32m • Base:\n$OUTPUT_BASE
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\n\033[34m • Lora hot:\n$OUTPUT_LORA_HOT
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\n\033[36m • Lora merged:\n$OUTPUT_LORA_MERGED
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\n \033[0m
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")
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echo "All tests passed for $model_name with hidden_size $hidden_size!"
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}
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# Run test for each model
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for param in "${params[@]}"; do
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run_conversion_and_inference_lora $param
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done
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# Print results
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echo -e "\n\n---------------------------\n\n"
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echo -e "\n\033[1mSummary of All Results:\033[0m"
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for result in "${results[@]}"; do
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echo -e "$result"
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done
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