Merge pull request #100 from fastmachinelearning/cnn_qkeras_fix

update qkeras setup

Author: vloncar

part6_cnns.ipynb

@@ -737,19 +737,13 @@
    "source": [
     "# Then the QKeras model\n",
     "hls_config_q = hls4ml.utils.config_from_keras_model(qmodel, granularity='name', backend='Vitis')\n",
-    "hls_config_q['Model']['ReuseFactor'] = 1\n",
-    "hls_config['Model']['Precision'] = 'ap_fixed<16,6>'\n",
-    "hls_config_q['LayerName']['output_softmax']['Strategy'] = 'Stable'\n",
+    "\n",
     "plotting.print_dict(hls_config_q)\n",
     "\n",
-    "cfg_q = hls4ml.converters.create_config(backend='Vitis')\n",
-    "cfg_q['IOType'] = 'io_stream'  # Must set this if using CNNs!\n",
-    "cfg_q['HLSConfig'] = hls_config_q\n",
-    "cfg_q['KerasModel'] = qmodel\n",
-    "cfg_q['OutputDir'] = 'quantized_pruned_cnn/'\n",
-    "cfg_q['XilinxPart'] = 'xcu250-figd2104-2L-e'\n",
+    "hls_model_q = hls4ml.converters.convert_from_keras_model(\n",
+    "    qmodel, hls_config=hls_config_q, output_dir='quantized_pruned_cnn', backend='Vitis', io_type='io_stream'\n",
+    ")\n",
     "\n",
-    "hls_model_q = hls4ml.converters.keras_to_hls(cfg_q)\n",
     "hls_model_q.compile()"
    ]
   },
@@ -1321,7 +1315,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.11"
+   "version": "3.11.9"
   }
  },
  "nbformat": 4,