{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "35abefab",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[5. 7. 9.]]\n"
     ]
    }
   ],
   "source": [
    "import numpy as np\n",
    "import tritonclient.grpc as grpcclient\n",
    "\n",
    "client = grpcclient.InferenceServerClient(\"localhost:8001\")\n",
    "\n",
    "x1 = np.array([[1,2,3]], dtype=np.float32)\n",
    "x2 = np.array([[4,5,6]], dtype=np.float32)\n",
    "\n",
    "inputs = [\n",
    "    grpcclient.InferInput(\"x1\", x1.shape, \"FP32\"),\n",
    "    grpcclient.InferInput(\"x2\", x2.shape, \"FP32\"),\n",
    "]\n",
    "inputs[0].set_data_from_numpy(x1)\n",
    "inputs[1].set_data_from_numpy(x2)\n",
    "\n",
    "outputs = [grpcclient.InferRequestedOutput(\"y\")]\n",
    "\n",
    "res = client.infer(\"add\", inputs, outputs=outputs)\n",
    "print(res.as_numpy(\"y\"))"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "deploy",
   "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": "3.12.12"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}