{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "c:\\Users\\NoerN\\.conda\\envs\\toucanTTS\\lib\\site-packages\\torch\\nn\\modules\\transformer.py:306: UserWarning: enable_nested_tensor is True, but self.use_nested_tensor is False because encoder_layer.self_attn.batch_first was not True(use batch_first for better inference performance)\n",
      "  warnings.warn(f\"enable_nested_tensor is True, but self.use_nested_tensor is False because {why_not_sparsity_fast_path}\")\n",
      "c:\\Users\\NoerN\\.conda\\envs\\toucanTTS\\lib\\site-packages\\torch\\nn\\functional.py:5504: UserWarning: 1Torch was not compiled with flash attention. (Triggered internally at ..\\aten\\src\\ATen\\native\\transformers\\cuda\\sdp_utils.cpp:455.)\n",
      "  attn_output = scaled_dot_product_attention(q, k, v, attn_mask, dropout_p, is_causal)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "['m', 'a', 'ɰ', 'sʰ', 'u', 'ŋ', 'kʰ', 'aː']"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from transphone import read_tokenizer\n",
    "\n",
    "shn = read_tokenizer(\"shn\")\n",
    "\n",
    "lst = shn.tokenize(\"မႂ်ႇသုင်ၶႃႈ\")\n",
    "\n",
    "lst"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "toucanTTS",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.14"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}