model file

AE_test.ipynb

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+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from tensorflow import keras\n",
+    "model = keras.models.load_model('model_1/KERAS_check_best_model.h5')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Make an hls4ml config & model"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Interpreting Model\n",
+      "Topology:\n",
+      "Layer name: encoder_input, layer type: Input\n",
+      "Layer name: dense_32, layer type: Dense\n",
+      "  -> Activation (relu), layer name: dense_32\n",
+      "Layer name: dense_33, layer type: Dense\n",
+      "  -> Activation (relu), layer name: dense_33\n",
+      "Layer name: encoder_output, layer type: Dense\n",
+      "  -> Activation (relu), layer name: encoder_output\n",
+      "Layer name: dense_34, layer type: Dense\n",
+      "  -> Activation (relu), layer name: dense_34\n",
+      "Layer name: dense_35, layer type: Dense\n",
+      "  -> Activation (relu), layer name: dense_35\n",
+      "Layer name: ecoder_output, layer type: Dense\n",
+      "  -> Activation (sigmoid), layer name: ecoder_output\n",
+      "-----------------------------------\n",
+      "Configuration\n",
+      "{'Model': {'Precision': 'ap_fixed<16,6>', 'ReuseFactor': 1, 'Strategy': 'Latency'}}\n",
+      "-----------------------------------\n",
+      "Interpreting Model\n",
+      "Topology:\n",
+      "Layer name: encoder_input, layer type: InputLayer, input shapes: [[None, 784]], output shape: [None, 784]\n",
+      "Layer name: dense_32, layer type: Dense, input shapes: [[None, 784]], output shape: [None, 128]\n",
+      "Layer name: dense_33, layer type: Dense, input shapes: [[None, 128]], output shape: [None, 64]\n",
+      "Layer name: encoder_output, layer type: Dense, input shapes: [[None, 64]], output shape: [None, 2]\n",
+      "Layer name: dense_34, layer type: Dense, input shapes: [[None, 2]], output shape: [None, 64]\n",
+      "Layer name: dense_35, layer type: Dense, input shapes: [[None, 64]], output shape: [None, 128]\n",
+      "Layer name: ecoder_output, layer type: Dense, input shapes: [[None, 128]], output shape: [None, 784]\n",
+      "Creating HLS model\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\loren\\miniconda3\\envs\\MLinPhysics\\lib\\site-packages\\hls4ml\\converters\\__init__.py:16: UserWarning: WARNING: Pytorch converter is not enabled!\n",
+      "  warnings.warn(\"WARNING: Pytorch converter is not enabled!\")\n"
+     ]
+    }
+   ],
+   "source": [
+    "import plotting\n",
+    "import hls4ml\n",
+    "config = hls4ml.utils.config_from_keras_model(model, granularity='model')\n",
+    "print(\"-----------------------------------\")\n",
+    "print(\"Configuration\")\n",
+    "print(config)\n",
+    "print(\"-----------------------------------\")\n",
+    "hls_model = hls4ml.converters.convert_from_keras_model(model,\n",
+    "                                                       hls_config=config,\n",
+    "                                                       output_dir='model_1/hls4ml_prj',\n",
+    "                                                       part='xcu250-figd2104-2L-e')\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Project myproject_prj does not exist. Rerun \"hls4ml build -p model_1/hls4ml_prj\".\n",
+      "Path my-hls-test does not exist. Exiting.\n"
+     ]
+    }
+   ],
+   "source": [
+    "hls_model.build()\n",
+    "hls4ml.report.read_vivado_report('my-hls-test')\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Compile, predict"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Writing HLS project\n",
+      "Done\n"
+     ]
+    },
+    {
+     "ename": "FileNotFoundError",
+     "evalue": "Could not find module 'c:\\Users\\loren\\Desktop\\CODE\\Electronics Project\\DL-model-for-FPGA\\model_1\\hls4ml_prj\\firmware\\myproject-Ee3D4600.so' (or one of its dependencies). Try using the full path with constructor syntax.",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[1;31mFileNotFoundError\u001b[0m                         Traceback (most recent call last)",
+      "\u001b[1;32m<ipython-input-9-43549258be49>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0mhls_model\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mcompile\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m      2\u001b[0m \u001b[0mdata\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mx_test\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mnp\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mascontiguousarray\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mdata\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mx_test\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      3\u001b[0m \u001b[0my_hls\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mhls_model\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mpredict\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mdata\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mx_test\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
+      "\u001b[1;32m~\\miniconda3\\envs\\MLinPhysics\\lib\\site-packages\\hls4ml\\model\\hls_model.py\u001b[0m in \u001b[0;36mcompile\u001b[1;34m(self)\u001b[0m\n\u001b[0;32m    544\u001b[0m                 \u001b[0mdlclose_func\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mrestype\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mctypes\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mc_int\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    545\u001b[0m                 \u001b[0mdlclose_func\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_top_function_lib\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_handle\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 546\u001b[1;33m             \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_top_function_lib\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mctypes\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mcdll\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mLoadLibrary\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mlib_name\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    547\u001b[0m         \u001b[1;32mfinally\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    548\u001b[0m             \u001b[0mos\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mchdir\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mcurr_dir\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
+      "\u001b[1;32m~\\miniconda3\\envs\\MLinPhysics\\lib\\ctypes\\__init__.py\u001b[0m in \u001b[0;36mLoadLibrary\u001b[1;34m(self, name)\u001b[0m\n\u001b[0;32m    449\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    450\u001b[0m     \u001b[1;32mdef\u001b[0m \u001b[0mLoadLibrary\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mname\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 451\u001b[1;33m         \u001b[1;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_dlltype\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mname\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    452\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    453\u001b[0m \u001b[0mcdll\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mLibraryLoader\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mCDLL\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
+      "\u001b[1;32m~\\miniconda3\\envs\\MLinPhysics\\lib\\ctypes\\__init__.py\u001b[0m in \u001b[0;36m__init__\u001b[1;34m(self, name, mode, handle, use_errno, use_last_error, winmode)\u001b[0m\n\u001b[0;32m    371\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    372\u001b[0m         \u001b[1;32mif\u001b[0m \u001b[0mhandle\u001b[0m \u001b[1;32mis\u001b[0m \u001b[1;32mNone\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 373\u001b[1;33m             \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_handle\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0m_dlopen\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_name\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mmode\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    374\u001b[0m         \u001b[1;32melse\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    375\u001b[0m             \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_handle\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mhandle\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
+      "\u001b[1;31mFileNotFoundError\u001b[0m: Could not find module 'c:\\Users\\loren\\Desktop\\CODE\\Electronics Project\\DL-model-for-FPGA\\model_1\\hls4ml_prj\\firmware\\myproject-Ee3D4600.so' (or one of its dependencies). Try using the full path with constructor syntax."
+     ]
+    }
+   ],
+   "source": [
+    "hls_model.compile()\n",
+    "data.x_test = np.ascontiguousarray(data.x_test)\n",
+    "y_hls = hls_model.predict(data.x_test)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "interpreter": {
+   "hash": "789093bb736187c46b4a361b2c83e244a48ff9bb7ad40e66e5ffb40455c8edff"
+  },
+  "kernelspec": {
+   "display_name": "Python 3",
+   "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": "3.8.8"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 1
+}