VIVADOHLS.ipynb

{
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  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "provenance": [],
      "authorship_tag": "ABX9TyM5/k0WaYlGN6nLczazCZlQ",
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/Himanshu364/gittutorial/blob/main/VIVADOHLS.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 1,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "9v6JhsaxNGck",
        "outputId": "9db00bbe-de5a-44f7-c811-07bd9eb479b2"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Cloning into 'hls4ml-tutorial'...\n",
            "remote: Enumerating objects: 1280, done.\u001b[K\n",
            "remote: Counting objects: 100% (226/226), done.\u001b[K\n",
            "remote: Compressing objects: 100% (76/76), done.\u001b[K\n",
            "remote: Total 1280 (delta 181), reused 150 (delta 150), pack-reused 1054\u001b[K\n",
            "Receiving objects: 100% (1280/1280), 18.91 MiB | 24.66 MiB/s, done.\n",
            "Resolving deltas: 100% (602/602), done.\n"
          ]
        }
      ],
      "source": [
        "!git clone https://github.com/fastmachinelearning/hls4ml-tutorial.git"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "%cd hls4ml-tutorial"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Q2sPVl4SNMDU",
        "outputId": "febea2b9-83ea-4168-f624-830b94b3c823"
      },
      "execution_count": 2,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "/content/hls4ml-tutorial\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from tensorflow.keras.utils import to_categorical\n",
        "from sklearn.datasets import fetch_openml\n",
        "from sklearn.model_selection import train_test_split\n",
        "from sklearn.preprocessing import LabelEncoder, StandardScaler\n",
        "import numpy as np\n",
        "\n",
        "%matplotlib inline\n",
        "seed = 0\n",
        "np.random.seed(seed)\n",
        "import tensorflow as tf\n",
        "\n",
        "tf.random.set_seed(seed)\n",
        "import os\n",
        "\n",
        "#os.environ['PATH'] = os.environ['XILINX_VIVADO'] + '/bin:' + os.environ['PATH']"
      ],
      "metadata": {
        "id": "q8JX927kNPn0"
      },
      "execution_count": 4,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "data = fetch_openml('hls4ml_lhc_jets_hlf')\n",
        "X, y = data['data'], data['target']"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "4Vn-fLpNNSmm",
        "outputId": "53d66bd1-c001-4edb-937b-e413d0502f31"
      },
      "execution_count": 5,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/sklearn/datasets/_openml.py:968: FutureWarning: The default value of `parser` will change from `'liac-arff'` to `'auto'` in 1.4. You can set `parser='auto'` to silence this warning. Therefore, an `ImportError` will be raised from 1.4 if the dataset is dense and pandas is not installed. Note that the pandas parser may return different data types. See the Notes Section in fetch_openml's API doc for details.\n",
            "  warn(\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "print(data['feature_names'])\n",
        "print(X.shape, y.shape)\n",
        "print(X[:5])\n",
        "print(y[:5])"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "9eHBSL4wN9Ye",
        "outputId": "27a93d1b-8ca1-43b8-e3b1-6e629ea12ba5"
      },
      "execution_count": 6,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "['zlogz', 'c1_b0_mmdt', 'c1_b1_mmdt', 'c1_b2_mmdt', 'c2_b1_mmdt', 'c2_b2_mmdt', 'd2_b1_mmdt', 'd2_b2_mmdt', 'd2_a1_b1_mmdt', 'd2_a1_b2_mmdt', 'm2_b1_mmdt', 'm2_b2_mmdt', 'n2_b1_mmdt', 'n2_b2_mmdt', 'mass_mmdt', 'multiplicity']\n",
            "(830000, 16) (830000,)\n",
            "      zlogz  c1_b0_mmdt  c1_b1_mmdt  c1_b2_mmdt  c2_b1_mmdt  c2_b2_mmdt  \\\n",
            "0 -2.935125    0.383155    0.005126    0.000084    0.009070    0.000179   \n",
            "1 -1.927335    0.270699    0.001585    0.000011    0.003232    0.000029   \n",
            "2 -3.112147    0.458171    0.097914    0.028588    0.124278    0.038487   \n",
            "3 -2.666515    0.437068    0.049122    0.007978    0.047477    0.004802   \n",
            "4 -2.484843    0.428981    0.041786    0.006110    0.023066    0.001123   \n",
            "\n",
            "   d2_b1_mmdt  d2_b2_mmdt  d2_a1_b1_mmdt  d2_a1_b2_mmdt  m2_b1_mmdt  \\\n",
            "0    1.769445    2.123898       1.769445       0.308185    0.135687   \n",
            "1    2.038834    2.563099       2.038834       0.211886    0.063729   \n",
            "2    1.269254    1.346238       1.269254       0.246488    0.115636   \n",
            "3    0.966505    0.601864       0.966505       0.160756    0.082196   \n",
            "4    0.552002    0.183821       0.552002       0.084338    0.048006   \n",
            "\n",
            "   m2_b2_mmdt  n2_b1_mmdt  n2_b2_mmdt   mass_mmdt  multiplicity  \n",
            "0    0.083278    0.412136    0.299058    8.926882          75.0  \n",
            "1    0.036310    0.310217    0.226661    3.886512          31.0  \n",
            "2    0.079094    0.357559    0.289220  162.144669          61.0  \n",
            "3    0.033311    0.238871    0.094516   91.258934          39.0  \n",
            "4    0.014450    0.141906    0.036665   79.725777          35.0  \n",
            "0    g\n",
            "1    w\n",
            "2    t\n",
            "3    z\n",
            "4    w\n",
            "Name: class, dtype: category\n",
            "Categories (5, object): ['g', 'q', 't', 'w', 'z']\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "le = LabelEncoder()\n",
        "y = le.fit_transform(y)\n",
        "y = to_categorical(y, 5)\n",
        "X_train_val, X_test, y_train_val, y_test = train_test_split(X, y, test_size=0.2, random_state=42)\n",
        "print(y[:5])"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "3aEhdYREN_5D",
        "outputId": "e964108a-a576-483c-d270-6a39f6d212f6"
      },
      "execution_count": 7,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[[1. 0. 0. 0. 0.]\n",
            " [0. 0. 0. 1. 0.]\n",
            " [0. 0. 1. 0. 0.]\n",
            " [0. 0. 0. 0. 1.]\n",
            " [0. 0. 0. 1. 0.]]\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "scaler = StandardScaler()\n",
        "X_train_val = scaler.fit_transform(X_train_val)\n",
        "X_test = scaler.transform(X_test)"
      ],
      "metadata": {
        "id": "1GpEdKHROCR5"
      },
      "execution_count": 8,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "np.save('X_train_val.npy', X_train_val)\n",
        "np.save('X_test.npy', X_test)\n",
        "np.save('y_train_val.npy', y_train_val)\n",
        "np.save('y_test.npy', y_test)\n",
        "np.save('classes.npy', le.classes_)"
      ],
      "metadata": {
        "id": "D9I3X2M0OEaG"
      },
      "execution_count": 9,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "from tensorflow.keras.models import Sequential\n",
        "from tensorflow.keras.layers import Dense, Activation, BatchNormalization\n",
        "from tensorflow.keras.optimizers import Adam\n",
        "from tensorflow.keras.regularizers import l1\n",
        "from callbacks import all_callbacks\n",
        "from tensorflow.keras.callbacks import ReduceLROnPlateau,ModelCheckpoint"
      ],
      "metadata": {
        "id": "0fOwwpm8OGM6"
      },
      "execution_count": 16,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "model = Sequential()\n",
        "model.add(Dense(64, input_shape=(16,), name='fc1', kernel_initializer='lecun_uniform', kernel_regularizer=l1(0.0001)))\n",
        "model.add(Activation(activation='relu', name='relu1'))\n",
        "model.add(Dense(32, name='fc2', kernel_initializer='lecun_uniform', kernel_regularizer=l1(0.0001)))\n",
        "model.add(Activation(activation='relu', name='relu2'))\n",
        "model.add(Dense(32, name='fc3', kernel_initializer='lecun_uniform', kernel_regularizer=l1(0.0001)))\n",
        "model.add(Activation(activation='relu', name='relu3'))\n",
        "model.add(Dense(5, name='output', kernel_initializer='lecun_uniform', kernel_regularizer=l1(0.0001)))\n",
        "model.add(Activation(activation='softmax', name='softmax'))"
      ],
      "metadata": {
        "id": "g11CR6woOJEI"
      },
      "execution_count": 11,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "train = True\n",
        "if train:\n",
        "    adam = Adam(lr=0.0001)\n",
        "    model.compile(optimizer=adam, loss=['categorical_crossentropy'], metrics=['accuracy'])\n",
        "    # callbacks = all_callbacks(\n",
        "    #     stop_patience=1000,\n",
        "    #     lr_factor=0.5,\n",
        "    #     lr_patience=10,\n",
        "    #     lr_epsilon=0.000001,\n",
        "    #     lr_cooldown=2,\n",
        "    #     lr_minimum=0.0000001,\n",
        "    #     outputDir='model_1',\n",
        "    # )\n",
        "    callbacks=[ReduceLROnPlateau(monitor=\"val_loss\",factor=0.5, patience=10, min_delta=0.000001,cooldown=2,min_lr=0.0000001),  # Stop if validation loss doesn't improve for 5 epochs\n",
        "    ModelCheckpoint(filepath='model_1', save_best_only=True)]\n",
        "    model.fit(\n",
        "        X_train_val,\n",
        "        y_train_val,\n",
        "        batch_size=1024,\n",
        "        epochs=30,\n",
        "        validation_split=0.25,\n",
        "        shuffle=True,\n",
        "        callbacks=callbacks,\n",
        "    )\n",
        "else:\n",
        "    from tensorflow.keras.models import load_model\n",
        "\n",
        "    model = load_model('model_1/KERAS_check_best_model.h5')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "NKE8S1ZKOLOo",
        "outputId": "ecd18e21-977f-4872-ff3e-0cb90e467d22"
      },
      "execution_count": 17,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "WARNING:absl:`lr` is deprecated in Keras optimizer, please use `learning_rate` or use the legacy optimizer, e.g.,tf.keras.optimizers.legacy.Adam.\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Epoch 1/30\n",
            "487/487 [==============================] - 5s 8ms/step - loss: 0.9661 - accuracy: 0.6737 - val_loss: 0.8347 - val_accuracy: 0.7321 - lr: 0.0010\n",
            "Epoch 2/30\n",
            "487/487 [==============================] - 3s 7ms/step - loss: 0.8023 - accuracy: 0.7392 - val_loss: 0.7860 - val_accuracy: 0.7436 - lr: 0.0010\n",
            "Epoch 3/30\n",
            "487/487 [==============================] - 5s 10ms/step - loss: 0.7713 - accuracy: 0.7474 - val_loss: 0.7700 - val_accuracy: 0.7479 - lr: 0.0010\n",
            "Epoch 4/30\n",
            "487/487 [==============================] - 4s 8ms/step - loss: 0.7541 - accuracy: 0.7525 - val_loss: 0.7520 - val_accuracy: 0.7534 - lr: 0.0010\n",
            "Epoch 5/30\n",
            "487/487 [==============================] - 4s 8ms/step - loss: 0.7434 - accuracy: 0.7553 - val_loss: 0.7444 - val_accuracy: 0.7549 - lr: 0.0010\n",
            "Epoch 6/30\n",
            "487/487 [==============================] - 4s 8ms/step - loss: 0.7350 - accuracy: 0.7571 - val_loss: 0.7352 - val_accuracy: 0.7572 - lr: 0.0010\n",
            "Epoch 7/30\n",
            "487/487 [==============================] - 5s 10ms/step - loss: 0.7277 - accuracy: 0.7587 - val_loss: 0.7292 - val_accuracy: 0.7584 - lr: 0.0010\n",
            "Epoch 8/30\n",
            "487/487 [==============================] - 7s 15ms/step - loss: 0.7224 - accuracy: 0.7604 - val_loss: 0.7266 - val_accuracy: 0.7591 - lr: 0.0010\n",
            "Epoch 9/30\n",
            "487/487 [==============================] - 4s 8ms/step - loss: 0.7177 - accuracy: 0.7615 - val_loss: 0.7213 - val_accuracy: 0.7603 - lr: 0.0010\n",
            "Epoch 10/30\n",
            "487/487 [==============================] - 3s 5ms/step - loss: 0.7146 - accuracy: 0.7618 - val_loss: 0.7219 - val_accuracy: 0.7597 - lr: 0.0010\n",
            "Epoch 11/30\n",
            "487/487 [==============================] - 4s 8ms/step - loss: 0.7122 - accuracy: 0.7623 - val_loss: 0.7158 - val_accuracy: 0.7613 - lr: 0.0010\n",
            "Epoch 12/30\n",
            "487/487 [==============================] - 3s 7ms/step - loss: 0.7096 - accuracy: 0.7628 - val_loss: 0.7125 - val_accuracy: 0.7619 - lr: 0.0010\n",
            "Epoch 13/30\n",
            "487/487 [==============================] - 4s 8ms/step - loss: 0.7067 - accuracy: 0.7637 - val_loss: 0.7108 - val_accuracy: 0.7623 - lr: 0.0010\n",
            "Epoch 14/30\n",
            "487/487 [==============================] - 3s 6ms/step - loss: 0.7048 - accuracy: 0.7638 - val_loss: 0.7093 - val_accuracy: 0.7624 - lr: 0.0010\n",
            "Epoch 15/30\n",
            "487/487 [==============================] - 4s 9ms/step - loss: 0.7033 - accuracy: 0.7644 - val_loss: 0.7076 - val_accuracy: 0.7626 - lr: 0.0010\n",
            "Epoch 16/30\n",
            "487/487 [==============================] - 3s 6ms/step - loss: 0.7015 - accuracy: 0.7646 - val_loss: 0.7072 - val_accuracy: 0.7628 - lr: 0.0010\n",
            "Epoch 17/30\n",
            "487/487 [==============================] - 3s 6ms/step - loss: 0.7005 - accuracy: 0.7649 - val_loss: 0.7043 - val_accuracy: 0.7632 - lr: 0.0010\n",
            "Epoch 18/30\n",
            "487/487 [==============================] - 2s 4ms/step - loss: 0.6988 - accuracy: 0.7650 - val_loss: 0.7049 - val_accuracy: 0.7630 - lr: 0.0010\n",
            "Epoch 19/30\n",
            "487/487 [==============================] - 4s 8ms/step - loss: 0.6978 - accuracy: 0.7655 - val_loss: 0.7026 - val_accuracy: 0.7637 - lr: 0.0010\n",
            "Epoch 20/30\n",
            "487/487 [==============================] - 4s 8ms/step - loss: 0.6965 - accuracy: 0.7654 - val_loss: 0.7018 - val_accuracy: 0.7637 - lr: 0.0010\n",
            "Epoch 21/30\n",
            "487/487 [==============================] - 3s 7ms/step - loss: 0.6956 - accuracy: 0.7657 - val_loss: 0.7015 - val_accuracy: 0.7632 - lr: 0.0010\n",
            "Epoch 22/30\n",
            "487/487 [==============================] - 3s 7ms/step - loss: 0.6948 - accuracy: 0.7656 - val_loss: 0.6987 - val_accuracy: 0.7645 - lr: 0.0010\n",
            "Epoch 23/30\n",
            "487/487 [==============================] - 3s 6ms/step - loss: 0.6941 - accuracy: 0.7659 - val_loss: 0.6988 - val_accuracy: 0.7640 - lr: 0.0010\n",
            "Epoch 24/30\n",
            "487/487 [==============================] - 3s 7ms/step - loss: 0.6931 - accuracy: 0.7662 - val_loss: 0.6988 - val_accuracy: 0.7648 - lr: 0.0010\n",
            "Epoch 25/30\n",
            "487/487 [==============================] - 2s 4ms/step - loss: 0.6920 - accuracy: 0.7662 - val_loss: 0.6989 - val_accuracy: 0.7636 - lr: 0.0010\n",
            "Epoch 26/30\n",
            "487/487 [==============================] - 3s 6ms/step - loss: 0.6921 - accuracy: 0.7664 - val_loss: 0.6977 - val_accuracy: 0.7638 - lr: 0.0010\n",
            "Epoch 27/30\n",
            "487/487 [==============================] - 4s 9ms/step - loss: 0.6905 - accuracy: 0.7664 - val_loss: 0.6966 - val_accuracy: 0.7647 - lr: 0.0010\n",
            "Epoch 28/30\n",
            "487/487 [==============================] - 5s 10ms/step - loss: 0.6901 - accuracy: 0.7664 - val_loss: 0.6944 - val_accuracy: 0.7647 - lr: 0.0010\n",
            "Epoch 29/30\n",
            "487/487 [==============================] - 3s 5ms/step - loss: 0.6895 - accuracy: 0.7665 - val_loss: 0.6948 - val_accuracy: 0.7640 - lr: 0.0010\n",
            "Epoch 30/30\n",
            "487/487 [==============================] - 2s 5ms/step - loss: 0.6891 - accuracy: 0.7670 - val_loss: 0.6946 - val_accuracy: 0.7643 - lr: 0.0010\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import plotting\n",
        "import matplotlib.pyplot as plt\n",
        "from sklearn.metrics import accuracy_score\n",
        "\n",
        "y_keras = model.predict(X_test)\n",
        "print(\"Accuracy: {}\".format(accuracy_score(np.argmax(y_test, axis=1), np.argmax(y_keras, axis=1))))\n",
        "plt.figure(figsize=(9, 9))\n",
        "_ = plotting.makeRoc(y_test, y_keras, le.classes_)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 841
        },
        "id": "HTIKSS1kQrnR",
        "outputId": "a9413c9b-0ecc-44ec-fb6e-8ef46a417bbd"
      },
      "execution_count": 18,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "5188/5188 [==============================] - 7s 1ms/step\n",
            "Accuracy: 0.7636867469879518\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 900x900 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "!pip install hls4ml"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "C7zjha72Ta3i",
        "outputId": "dcc7f645-01e0-4c95-818a-bad0d1b28213"
      },
      "execution_count": 20,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Collecting hls4ml\n",
            "  Downloading hls4ml-0.7.1-py3-none-any.whl (544 kB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m544.9/544.9 kB\u001b[0m \u001b[31m4.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hCollecting calmjs.parse (from hls4ml)\n",
            "  Downloading calmjs.parse-1.3.0-py3-none-any.whl (291 kB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m292.0/292.0 kB\u001b[0m \u001b[31m7.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hRequirement already satisfied: h5py in /usr/local/lib/python3.10/dist-packages (from hls4ml) (3.9.0)\n",
            "Requirement already satisfied: numpy in /usr/local/lib/python3.10/dist-packages (from hls4ml) (1.23.5)\n",
            "Collecting onnx>=1.4.0 (from hls4ml)\n",
            "  Downloading onnx-1.14.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (14.6 MB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m14.6/14.6 MB\u001b[0m \u001b[31m35.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hCollecting pydigitalwavetools==1.1 (from hls4ml)\n",
            "  Downloading pyDigitalWaveTools-1.1-py3-none-any.whl (13 kB)\n",
            "Requirement already satisfied: pyyaml in /usr/local/lib/python3.10/dist-packages (from hls4ml) (6.0.1)\n",
            "Collecting qkeras (from hls4ml)\n",
            "  Downloading QKeras-0.9.0-py3-none-any.whl (152 kB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m152.8/152.8 kB\u001b[0m \u001b[31m13.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hRequirement already satisfied: six in /usr/local/lib/python3.10/dist-packages (from hls4ml) (1.16.0)\n",
            "Requirement already satisfied: tabulate in /usr/local/lib/python3.10/dist-packages (from hls4ml) (0.9.0)\n",
            "Requirement already satisfied: protobuf>=3.20.2 in /usr/local/lib/python3.10/dist-packages (from onnx>=1.4.0->hls4ml) (3.20.3)\n",
            "Requirement already satisfied: typing-extensions>=3.6.2.1 in /usr/local/lib/python3.10/dist-packages (from onnx>=1.4.0->hls4ml) (4.5.0)\n",
            "Requirement already satisfied: setuptools in /usr/local/lib/python3.10/dist-packages (from calmjs.parse->hls4ml) (67.7.2)\n",
            "Collecting ply>=3.6 (from calmjs.parse->hls4ml)\n",
            "  Downloading ply-3.11-py2.py3-none-any.whl (49 kB)\n",
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            "Collecting pyparser (from qkeras->hls4ml)\n",
            "  Downloading pyparser-1.0.tar.gz (4.0 kB)\n",
            "  Preparing metadata (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "Collecting tensorflow-model-optimization>=0.2.1 (from qkeras->hls4ml)\n",
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            "Collecting keras-core (from keras-tuner>=1.0.1->qkeras->hls4ml)\n",
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            "\u001b[?25hRequirement already satisfied: packaging in /usr/local/lib/python3.10/dist-packages (from keras-tuner>=1.0.1->qkeras->hls4ml) (23.2)\n",
            "Requirement already satisfied: requests in /usr/local/lib/python3.10/dist-packages (from keras-tuner>=1.0.1->qkeras->hls4ml) (2.31.0)\n",
            "Collecting kt-legacy (from keras-tuner>=1.0.1->qkeras->hls4ml)\n",
            "  Downloading kt_legacy-1.0.5-py3-none-any.whl (9.6 kB)\n",
            "Requirement already satisfied: joblib>=1.1.1 in /usr/local/lib/python3.10/dist-packages (from scikit-learn>=0.23.1->qkeras->hls4ml) (1.3.2)\n",
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            "Requirement already satisfied: absl-py~=1.2 in /usr/local/lib/python3.10/dist-packages (from tensorflow-model-optimization>=0.2.1->qkeras->hls4ml) (1.4.0)\n",
            "Requirement already satisfied: dm-tree~=0.1.1 in /usr/local/lib/python3.10/dist-packages (from tensorflow-model-optimization>=0.2.1->qkeras->hls4ml) (0.1.8)\n",
            "Collecting parse==1.6.5 (from pyparser->qkeras->hls4ml)\n",
            "  Downloading parse-1.6.5.tar.gz (24 kB)\n",
            "  Preparing metadata (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "Requirement already satisfied: rich in /usr/local/lib/python3.10/dist-packages (from keras-core->keras-tuner>=1.0.1->qkeras->hls4ml) (13.6.0)\n",
            "Collecting namex (from keras-core->keras-tuner>=1.0.1->qkeras->hls4ml)\n",
            "  Downloading namex-0.0.7-py3-none-any.whl (5.8 kB)\n",
            "Requirement already satisfied: charset-normalizer<4,>=2 in /usr/local/lib/python3.10/dist-packages (from requests->keras-tuner>=1.0.1->qkeras->hls4ml) (3.3.0)\n",
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            "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.10/dist-packages (from requests->keras-tuner>=1.0.1->qkeras->hls4ml) (2023.7.22)\n",
            "Requirement already satisfied: markdown-it-py>=2.2.0 in /usr/local/lib/python3.10/dist-packages (from rich->keras-core->keras-tuner>=1.0.1->qkeras->hls4ml) (3.0.0)\n",
            "Requirement already satisfied: pygments<3.0.0,>=2.13.0 in /usr/local/lib/python3.10/dist-packages (from rich->keras-core->keras-tuner>=1.0.1->qkeras->hls4ml) (2.16.1)\n",
            "Requirement already satisfied: mdurl~=0.1 in /usr/local/lib/python3.10/dist-packages (from markdown-it-py>=2.2.0->rich->keras-core->keras-tuner>=1.0.1->qkeras->hls4ml) (0.1.2)\n",
            "Building wheels for collected packages: pyparser, parse\n",
            "  Building wheel for pyparser (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for pyparser: filename=pyparser-1.0-py3-none-any.whl size=4913 sha256=a02e223eea7560c381760122ab09f21ceebd006f115489d123dfbcc11359ff6a\n",
            "  Stored in directory: /root/.cache/pip/wheels/25/87/78/ff95e8a747dc534fbd199fb3ea06d80935bc87e44567bbdb31\n",
            "  Building wheel for parse (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for parse: filename=parse-1.6.5-py3-none-any.whl size=18154 sha256=154a798c57e9233e7e22ef05b946df54cee897109d577c300d2221636c3d89f7\n",
            "  Stored in directory: /root/.cache/pip/wheels/3f/10/c8/5023ea72290855ee33e7bc403e1048ae238b9c2fdb549a9f51\n",
            "Successfully built pyparser parse\n",
            "Installing collected packages: pydigitalwavetools, ply, parse, namex, kt-legacy, tensorflow-model-optimization, pyparser, onnx, calmjs.parse, keras-core, keras-tuner, qkeras, hls4ml\n",
            "Successfully installed calmjs.parse-1.3.0 hls4ml-0.7.1 keras-core-0.1.7 keras-tuner-1.4.5 kt-legacy-1.0.5 namex-0.0.7 onnx-1.14.1 parse-1.6.5 ply-3.11 pydigitalwavetools-1.1 pyparser-1.0 qkeras-0.9.0 tensorflow-model-optimization-0.7.5\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import hls4ml\n",
        "\n",
        "config = hls4ml.utils.config_from_keras_model(model, granularity='model')\n",
        "print(\"-----------------------------------\")\n",
        "print(\"Configuration\")\n",
        "plotting.print_dict(config)\n",
        "print(\"-----------------------------------\")\n",
        "hls_model = hls4ml.converters.convert_from_keras_model(\n",
        "    model, hls_config=config, output_dir='model_1/hls4ml_prj', part='xcu250-figd2104-2L-e'\n",
        ")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "faae0ci3Scld",
        "outputId": "679e3289-0cc5-4c1c-dbe4-b8bab47d0bf9"
      },
      "execution_count": 21,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Interpreting Sequential\n",
            "Topology:\n",
            "Layer name: fc1_input, layer type: InputLayer, input shapes: [[None, 16]], output shape: [None, 16]\n",
            "Layer name: fc1, layer type: Dense, input shapes: [[None, 16]], output shape: [None, 64]\n",
            "Layer name: relu1, layer type: Activation, input shapes: [[None, 64]], output shape: [None, 64]\n",
            "Layer name: fc2, layer type: Dense, input shapes: [[None, 64]], output shape: [None, 32]\n",
            "Layer name: relu2, layer type: Activation, input shapes: [[None, 32]], output shape: [None, 32]\n",
            "Layer name: fc3, layer type: Dense, input shapes: [[None, 32]], output shape: [None, 32]\n",
            "Layer name: relu3, layer type: Activation, input shapes: [[None, 32]], output shape: [None, 32]\n",
            "Layer name: output, layer type: Dense, input shapes: [[None, 32]], output shape: [None, 5]\n",
            "Layer name: softmax, layer type: Softmax, input shapes: [[None, 5]], output shape: [None, 5]\n",
            "-----------------------------------\n",
            "Configuration\n",
            "Model\n",
            "  Precision:         fixed<16,6>\n",
            "  ReuseFactor:       1\n",
            "  Strategy:          Latency\n",
            "  BramFactor:        1000000000\n",
            "  TraceOutput:       False\n",
            "-----------------------------------\n",
            "Interpreting Sequential\n",
            "Topology:\n",
            "Layer name: fc1_input, layer type: InputLayer, input shapes: [[None, 16]], output shape: [None, 16]\n",
            "Layer name: fc1, layer type: Dense, input shapes: [[None, 16]], output shape: [None, 64]\n",
            "Layer name: relu1, layer type: Activation, input shapes: [[None, 64]], output shape: [None, 64]\n",
            "Layer name: fc2, layer type: Dense, input shapes: [[None, 64]], output shape: [None, 32]\n",
            "Layer name: relu2, layer type: Activation, input shapes: [[None, 32]], output shape: [None, 32]\n",
            "Layer name: fc3, layer type: Dense, input shapes: [[None, 32]], output shape: [None, 32]\n",
            "Layer name: relu3, layer type: Activation, input shapes: [[None, 32]], output shape: [None, 32]\n",
            "Layer name: output, layer type: Dense, input shapes: [[None, 32]], output shape: [None, 5]\n",
            "Layer name: softmax, layer type: Softmax, input shapes: [[None, 5]], output shape: [None, 5]\n",
            "Creating HLS model\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "hls4ml.utils.plot_model(hls_model, show_shapes=True, show_precision=True, to_file=None)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "m8pdg2SwTpmy",
        "outputId": "e3095f42-7c2a-4f9b-f413-4753cb8f9c68"
      },
      "execution_count": 22,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<IPython.core.display.Image object>"
            ]
          },
          "metadata": {},
          "execution_count": 22
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "hls_model.compile()\n",
        "X_test = np.ascontiguousarray(X_test)\n",
        "y_hls = hls_model.predict(X_test)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "qSi8UabdUAHl",
        "outputId": "0d5aa172-0ee3-46e7-8ce7-e87183e9756b"
      },
      "execution_count": 23,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Writing HLS project\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/keras/src/engine/training.py:3000: UserWarning: You are saving your model as an HDF5 file via `model.save()`. This file format is considered legacy. We recommend using instead the native Keras format, e.g. `model.save('my_model.keras')`.\n",
            "  saving_api.save_model(\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Done\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "print(\"Keras  Accuracy: {}\".format(accuracy_score(np.argmax(y_test, axis=1), np.argmax(y_keras, axis=1))))\n",
        "print(\"hls4ml Accuracy: {}\".format(accuracy_score(np.argmax(y_test, axis=1), np.argmax(y_hls, axis=1))))\n",
        "\n",
        "fig, ax = plt.subplots(figsize=(9, 9))\n",
        "_ = plotting.makeRoc(y_test, y_keras, le.classes_)\n",
        "plt.gca().set_prop_cycle(None)  # reset the colors\n",
        "_ = plotting.makeRoc(y_test, y_hls, le.classes_, linestyle='--')\n",
        "\n",
        "from matplotlib.lines import Line2D\n",
        "\n",
        "lines = [Line2D([0], [0], ls='-'), Line2D([0], [0], ls='--')]\n",
        "from matplotlib.legend import Legend\n",
        "\n",
        "leg = Legend(ax, lines, labels=['keras', 'hls4ml'], loc='lower right', frameon=False)\n",
        "ax.add_artist(leg)\n",
        "\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 858
        },
        "id": "runz2KQRUIlw",
        "outputId": "47ea519d-afa3-4282-a400-f37b702a68d9"
      },
      "execution_count": 24,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Keras  Accuracy: 0.7636867469879518\n",
            "hls4ml Accuracy: 0.7638795180722892\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.legend.Legend at 0x79458e307460>"
            ]
          },
          "metadata": {},
          "execution_count": 24
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 900x900 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "hls_model.build(csim=False)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 356
        },
        "id": "TsWT9WRuUOyo",
        "outputId": "eecf4ef6-9dc6-46fc-da42-b3a0bf14ae7a"
      },
      "execution_count": 25,
      "outputs": [
        {
          "output_type": "error",
          "ename": "Exception",
          "evalue": "ignored",
          "traceback": [
            "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
            "\u001b[0;31mException\u001b[0m                                 Traceback (most recent call last)",
            "\u001b[0;32m<ipython-input-25-a53ad14c1ef9>\u001b[0m in \u001b[0;36m<cell line: 1>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mhls_model\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mbuild\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mcsim\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mFalse\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/hls4ml/model/graph.py\u001b[0m in \u001b[0;36mbuild\u001b[0;34m(self, **kwargs)\u001b[0m\n\u001b[1;32m    852\u001b[0m             \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mwrite\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    853\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 854\u001b[0;31m         \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mconfig\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mbackend\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mbuild\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/hls4ml/backends/vivado/vivado_backend.py\u001b[0m in \u001b[0;36mbuild\u001b[0;34m(self, model, reset, csim, synth, cosim, validation, export, vsynth, fifo_opt)\u001b[0m\n\u001b[1;32m    193\u001b[0m             \u001b[0mfound\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mos\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msystem\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'command -v vivado_hls > /dev/null'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    194\u001b[0m             \u001b[0;32mif\u001b[0m \u001b[0mfound\u001b[0m \u001b[0;34m!=\u001b[0m \u001b[0;36m0\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 195\u001b[0;31m                 \u001b[0;32mraise\u001b[0m \u001b[0mException\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'Vivado HLS installation not found. Make sure \"vivado_hls\" is on PATH.'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    196\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    197\u001b[0m         \u001b[0mcurr_dir\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mos\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mgetcwd\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;31mException\u001b[0m: Vivado HLS installation not found. Make sure \"vivado_hls\" is on PATH."
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "FdfwrQBhUf8x"
      },
      "execution_count": null,
      "outputs": []
    }
  ]
}