Merge pull request #9 from sharvil10/sharvils/tf_notebook_fix

TF notebook fix

Author: sharvil10

Intel_Optimized_TensorFlow_and_INC_Quantization_Tool_E2E_Sample/inc_sample_tensorflow.ipynb

@@ -185,7 +185,7 @@
    "source": [
     "from tensorflow.python.framework.convert_to_constants import convert_variables_to_constants_v2\n",
     "\n",
-    "def save_frezon_pb(model, mod_path):\n",
+    "def save_frozen_pb(model, mod_path):\n",
     "    # Convert Keras model to ConcreteFunction\n",
     "    full_model = tf.function(lambda x: model(x))\n",
     "    concrete_function = full_model.get_concrete_function(\n",
@@ -199,8 +199,8 @@
     "                      logdir=\".\",\n",
     "                      name=mod_path,\n",
     "                      as_text=False)\n",
-    "fp32_frezon_pb_file = \"fp32_frozen.pb\"\n",
-    "save_frezon_pb(model, fp32_frezon_pb_file)"
+    "fp32_frozen_pb_file = \"fp32_frozen.pb\"\n",
+    "save_frozen_pb(model, fp32_frozen_pb_file)"
    ]
   },
   {
@@ -209,7 +209,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "!ls -la fp32_frezon.pb"
+    "!ls -la fp32_frozen.pb"
    ]
   },
   {
@@ -328,7 +328,7 @@
     "    return q_model\n",
     "\n",
     "\n",
-    "def save_int8_frezon_pb(q_model, path):\n",
+    "def save_int8_frozen_pb(q_model, path):\n",
     "    from tensorflow.python.platform import gfile\n",
     "    f = gfile.GFile(path, 'wb')\n",
     "    f.write(q_model.as_graph_def().SerializeToString())\n",
@@ -421,7 +421,7 @@
    },
    "outputs": [],
    "source": [
-    "!python profiling_inc.py --input-graph=./fp32_frezon.pb --omp-num-threads=4 --num-inter-threads=1 --num-intra-threads=4 --index=32"
+    "!python profiling_inc.py --input-graph=./fp32_frozen.pb --omp-num-threads=4 --num-inter-threads=1 --num-intra-threads=4 --index=32"
    ]
   },
   {