Engage!

1 files changed, 84 insertions, 0 deletions

diff --git a/llama.cpp/examples/model-conversion/scripts/embedding/compare-embeddings-logits.sh b/llama.cpp/examples/model-conversion/scripts/embedding/compare-embeddings-logits.sh
new file mode 100755
index 0000000..984d03e
--- /dev/null
+++ b/llama.cpp/examples/model-conversion/scripts/embedding/compare-embeddings-logits.sh
@@ -0,0 +1,84 @@
+#!/usr/bin/env bash
+
+set -e
+
+# Parse command line arguments
+MODEL_PATH=""
+MODEL_NAME=""
+PROMPTS_FILE=""
+
+# First argument is always model path
+if [ $# -gt 0 ] && [[ "$1" != --* ]]; then
+    MODEL_PATH="$1"
+    shift
+fi
+
+# Parse remaining arguments
+while [[ $# -gt 0 ]]; do
+    case $1 in
+        --prompts-file|-pf)
+            PROMPTS_FILE="$2"
+            shift 2
+            ;;
+        *)
+            # If MODEL_NAME not set and this isn't a flag, use as model name
+            if [ -z "$MODEL_NAME" ] && [[ "$1" != --* ]]; then
+                MODEL_NAME="$1"
+            fi
+            shift
+            ;;
+    esac
+done
+
+# Set defaults
+MODEL_PATH="${MODEL_PATH:-"$EMBEDDING_MODEL_PATH"}"
+MODEL_NAME="${MODEL_NAME:-$(basename "$MODEL_PATH")}"
+
+CONVERTED_MODEL_PATH="${CONVERTED_EMBEDDING_PATH:-"$CONVERTED_EMBEDDING_MODEL"}"
+CONVERTED_MODEL_NAME="${CONVERTED_MODEL_NAME:-$(basename "$CONVERTED_MODEL_PATH" .gguf)}"
+
+if [ -t 0 ]; then
+    CPP_EMBEDDINGS="data/llamacpp-${CONVERTED_MODEL_NAME}-embeddings.bin"
+else
+    # Process piped JSON data and convert to binary (matching logits.cpp format)
+    TEMP_FILE=$(mktemp /tmp/tmp.XXXXXX.binn)
+    python3 -c "
+import json
+import sys
+import struct
+
+data = json.load(sys.stdin)
+
+# Flatten all embeddings completely
+flattened = []
+for item in data:
+    embedding = item['embedding']
+    for token_embedding in embedding:
+        flattened.extend(token_embedding)
+
+print(f'Total embedding values: {len(flattened)}', file=sys.stderr)
+
+# Write as binary floats - matches logitc.cpp fwrite format
+with open('$TEMP_FILE', 'wb') as f:
+    for value in flattened:
+        f.write(struct.pack('f', value))
+"
+    CPP_EMBEDDINGS="$TEMP_FILE"
+    trap "rm -f $TEMP_FILE" EXIT
+fi
+
+# Build the semantic_check.py command
+SEMANTIC_CMD="python scripts/utils/semantic_check.py --model-path $MODEL_PATH \
+    --python-embeddings data/pytorch-${MODEL_NAME}-embeddings.bin \
+    --cpp-embeddings $CPP_EMBEDDINGS"
+
+# Add prompts file if specified, otherwise use default prompt
+if [ -n "$PROMPTS_FILE" ]; then
+    SEMANTIC_CMD="$SEMANTIC_CMD --prompts-file \"$PROMPTS_FILE\""
+else
+    SEMANTIC_CMD="$SEMANTIC_CMD --prompt \"Hello world today\""
+fi
+
+# Execute the command
+eval $SEMANTIC_CMD
+