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  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<img width=\"800px\" src=\"../fidle/img/header.svg\"></img>\n",
    "\n",
    "# <!-- TITLE --> [K3LSTM1] - Basic Keras LSTM Layer\n",
    "<!-- DESC --> A small example of an LSTM layer in Keras\n",
    "\n",
    "<!-- AUTHOR : Jean-Luc Parouty (CNRS/SIMaP) -->"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "os.environ['KERAS_BACKEND'] = 'torch'\n",
    "\n",
    "import keras\n",
    "\n",
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "input = keras.random.normal( [32, 20, 8] )\n",
    "\n",
    "lstm    = keras.layers.LSTM(16)\n",
    "output  = lstm(input)\n",
    "\n",
    "print('input shape is  : ',input.shape)\n",
    "print('output shape is : ',output.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "input = keras.random.normal( [32, 20, 8] )\n",
    "\n",
    "lstm = keras.layers.LSTM(18, return_sequences=True, return_state=True)\n",
    "output, memory_state, carry_state = lstm(input)\n",
    "\n",
    "print('input shape  : ',input.shape)\n",
    "print('output shape : ',output.shape)\n",
    "print('memory_state : ', memory_state.shape)\n",
    "print('carry_state  : ', memory_state.shape)\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---\n",
    "<img width=\"80px\" src=\"../fidle/img/logo-paysage.svg\"></img>"
   ]
  }
 ],
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