fix ONSAM-1387, it's workaround for LPOT new bug (#573)

Co-authored-by: root <root@nntcl03-nuc.cl.inn.intel.com>

AI-and-Analytics/Getting-Started-Samples/LPOT-Sample-for-Tensorflow/alexnet.yaml

@@ -13,5 +13,5 @@ tuning:
   accuracy_criterion:
     relative: 0.01                              # the tuning target of accuracy loss percentage: 1%
   exit_policy:
-    timeout: 100                                   # tuning timeout (seconds)
+    timeout: 0                                   # tuning timeout (seconds)
   random_seed: 100                               # random seed

AI-and-Analytics/Getting-Started-Samples/LPOT-Sample-for-Tensorflow/lpot_sample_tensorflow.ipynb

@@ -346,6 +346,15 @@
     "We will execute the \"**lpot_quantize_model.py**\" to show the whole process of quantizing a model."
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "!export TF_ENABLE_MKL_NATIVE_FORMAT=0"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,
@@ -354,7 +363,7 @@
    },
    "outputs": [],
    "source": [
-    "!python lpot_quantize_model.py"
+    "!TF_ENABLE_MKL_NATIVE_FORMAT=0 python lpot_quantize_model.py"
    ]
   },
   {
@@ -558,9 +567,9 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python [conda env:miniconda3-vlpot] *",
+   "display_name": "tensorflow",
    "language": "python",
-   "name": "conda-env-miniconda3-vlpot-py"
+   "name": "tensorflow"
   },
   "language_info": {
    "codemirror_mode": {
@@ -572,7 +581,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.12"
+   "version": "3.7.10"
   }
  },
  "nbformat": 4,