Add Qwen text repeatability check

tools/compare_text_repeatability.py

@@ -0,0 +1,40 @@
+"""Check direct Qwen prompt-to-layer-50 repeatability across multiple prompts."""
+
+import argparse
+
+import torch
+
+from h3_blackwell_runtime.qwen3vl_text import Qwen3VLPromptConditioner
+
+
+PROMPTS = [
+    "A brass-and-paper dragon flies above a rain-washed old city at blue hour.",
+    "A tiny clockwork fox curls up beside a glowing campfire in fresh snow.",
+    "An old library aquarium floats through a thunderstorm, shelves full of blue fish.",
+    "A painterly red balloon drifts over a quiet desert train station at sunrise.",
+    "A ceramic astronaut waters moss on the moon while Earth rises behind them.",
+    "A silver moth made of folded maps circles a lighthouse in green fog.",
+    "A friendly robot chef flips pancakes in a kitchen made of clouds.",
+    "A crystal whale swims through a canyon of stars and ringing glass bells.",
+    "A paper boat sails down a neon alley after summer rain.",
+    "A lantern-lit turtle carries a miniature village across a black lake.",
+]
+
+
+parser = argparse.ArgumentParser()
+parser.add_argument("--qwen", default="/text-encoders/qwen3vl_32b_minimax_h3_nvfp4_awq.safetensors")
+parser.add_argument("--tokenizer", default="/opt/h3-blackwell-runtime/src/h3_blackwell_runtime/qwen25_tokenizer")
+args = parser.parse_args()
+
+conditioner = Qwen3VLPromptConditioner(args.qwen, args.tokenizer)
+
+for index, prompt in enumerate(PROMPTS):
+    with torch.inference_mode():
+        qwen_a = conditioner(prompt)
+        qwen_b = conditioner(prompt)
+    qwen_delta = (qwen_a.float() - qwen_b.float()).abs()
+    print(
+        f"prompt={index:02d} "
+        f"tokens={qwen_a.shape[1]} "
+        f"qwen_max={qwen_delta.max().item():.6g} qwen_mean={qwen_delta.mean().item():.6g}"
+    )