colab/low_level_invoke_function.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "name": "low_level_invoke_function.ipynb",
      "provenance": [],
      "collapsed_sections": []
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "uMVh8_lZDRa7",
        "colab_type": "text"
      },
      "source": [
        "See the IREE docs/using_colab.md document for instructions.\n",
        "\n",
        "This notebook shows off some concepts of the low level IREE python bindings."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "1F144M4wAFPz",
        "colab": {}
      },
      "source": [
        "import numpy as np\n",
        "from pyiree.tf import compiler as ireec\n",
        "from pyiree import rt as ireert"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "2Rq-JdzMAFPU",
        "colab": {}
      },
      "source": [
        "# Compile a module.\n",
        "ctx = ireec.Context()\n",
        "input_module = ctx.parse_asm(\"\"\"\n",
        "  module @arithmetic {\n",
        "    func @simple_mul(%arg0: tensor<4xf32>, %arg1: tensor<4xf32>) -> tensor<4xf32>\n",
        "          attributes { iree.module.export } {\n",
        "        %0 = \"mhlo.multiply\"(%arg0, %arg1) {name = \"mul.1\"} : (tensor<4xf32>, tensor<4xf32>) -> tensor<4xf32>\n",
        "        return %0 : tensor<4xf32>\n",
        "    } \n",
        "  }\n",
        "  \"\"\")\n",
        "blob = input_module.compile()\n",
        "m = ireert.VmModule.from_flatbuffer(blob)"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "TNQiNeOU_cpK",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 85
        },
        "outputId": "a3b16ec2-04f6-463a-a03a-8dceec277dc9"
      },
      "source": [
        "# Register the module with a runtime context.\n",
        "# Use the CPU interpreter (which has the most implementation done):\n",
        "driver_name = \"interpreter\"\n",
        "# Live on the edge and give the vulkan driver a try:\n",
        "# driver_name = \"vulkan\"\n",
        "config = ireert.Config(driver_name)\n",
        "ctx = ireert.SystemContext(config=config)\n",
        "ctx.add_module(m)\n",
        "\n",
        "# Invoke the function and print the result.\n",
        "print(\"INVOKE simple_mul\")\n",
        "arg0 = np.array([1., 2., 3., 4.], dtype=np.float32)\n",
        "arg1 = np.array([4., 5., 6., 7.], dtype=np.float32)\n",
        "f = ctx.modules.arithmetic[\"simple_mul\"]\n",
        "results = f(arg0, arg1)\n",
        "print(\"Results:\", results)"
      ],
      "execution_count": 36,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "INVOKE simple_mul\n",
            "Results: [ 4. 10. 18. 28.]\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "stream",
          "text": [
            "Created IREE driver interpreter: <pyiree.rt.binding.HalDriver object at 0x7fae493257f0>\n",
            "SystemContext driver=<pyiree.rt.binding.HalDriver object at 0x7fae493257f0>\n"
          ],
          "name": "stderr"
        }
      ]
    }
  ]
}