testing.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Testing"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Imports"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "\n",
    "from dimgpt import utils\n",
    "from dimgpt.testing.sampling import *\n",
    "from dimgpt.data.tokenizer import *\n",
    "from dimgpt.settings import *\n",
    "\n",
    "utils.reset_rand()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Check GPU"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "utils.check_gpu()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Tokenizer"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "tokenizer = Tokenizer()\n",
    "\n",
    "print(f'Vocab size: {len(tokenizer.vocab):,}\\n')\n",
    "\n",
    "for v in tokenizer.vocab:\n",
    "\tprint(f'[{v}]', end = ' ')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "MODEL_PATH = './models/DimensionGPT-0.2B-Chat.pt'\n",
    "\n",
    "model = Model().to(DEVICE)\n",
    "model.load_state_dict(torch.load(MODEL_PATH, map_location = DEVICE))\n",
    "model.summary()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Testing"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "sampler = Sampler(model, tokenizer)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "_ = sampler.generate(\n",
    "\tinput = \"Bonjour\",\n",
    "\tmax_length = 512,\n",
    "\tchat_bot = True,\n",
    "\ttemperature = 0.5,\n",
    "\ttop_p = 0.9,\n",
    "\tno_repeat = 1.0,\n",
    "\tverbose = True,\n",
    "\tmax_print_line_length = 150\n",
    ")"
   ]
  }
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