From 17b2b4f68d910217db846f7fd94bc947f688fd50 Mon Sep 17 00:00:00 2001
From: ml server <ml@spacecruft.org>
Date: Tue, 21 Jan 2020 13:06:05 -0700
Subject: [PATCH] cleanup

---
 notebooks/wut-train-cluster-fn.ipynb | 97 ++--------------------------
 1 file changed, 4 insertions(+), 93 deletions(-)

diff --git a/notebooks/wut-train-cluster-fn.ipynb b/notebooks/wut-train-cluster-fn.ipynb
index 4b187d9..8e5fe61 100644
--- a/notebooks/wut-train-cluster-fn.ipynb
+++ b/notebooks/wut-train-cluster-fn.ipynb
@@ -126,16 +126,6 @@
     "options = tf.data.Options()"
    ]
   },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "#from tensorflow.python.framework.ops import disable_eager_execution\n",
-    "#disable_eager_execution()"
-   ]
-  },
   {
    "cell_type": "code",
    "execution_count": null,
@@ -143,18 +133,7 @@
    "outputs": [],
    "source": [
     "strategy = tf.distribute.experimental.MultiWorkerMirroredStrategy(\n",
-    "    tf.distribute.experimental.CollectiveCommunication.RING)\n",
-    "#\n",
-    "# MultiWorkerMirroredStrategy needs TF_CONFIG\n",
-    "#multiworker_strategy = tf.distribute.experimental.MultiWorkerMirroredStrategy()\n",
-    "# Central Storage Strategy\n",
-    "#central_storage_strategy = tf.distribute.experimental.CentralStorageStrategy()\n",
-    "# ParameterServerStrategy needs TF_CONFIG\n",
-    "#ps_strategy = tf.distribute.experimental.ParameterServerStrategy()\n",
-    "# OneDeviceStrategy No cluster\n",
-    "#strategy = tf.distribute.OneDeviceStrategy(device=\"/CPU:0\")\n",
-    "# Mirrored Strategy\n",
-    "#mirrored_strategy = tf.distribute.MirroredStrategy()"
+    "    tf.distribute.experimental.CollectiveCommunication.RING)"
    ]
   },
   {
@@ -260,8 +239,8 @@
     "    plt.tight_layout()\n",
     "    plt.show()\n",
     "    \n",
-    "#plotImages(sample_train_images[0:3])\n",
-    "#plotImages(sample_val_images[0:3])"
+    "plotImages(sample_train_images[0:3])\n",
+    "plotImages(sample_val_images[0:3])"
    ]
   },
   {
@@ -276,7 +255,7 @@
     "log_dir=\"clusterlogs\"\n",
     "#tensorboard_callback = tensorflow.keras.callbacks.TensorBoard(log_dir=log_dir, histogram_freq=1)\n",
     "tensorboard_callback = tensorflow.keras.callbacks.TensorBoard(log_dir=log_dir)\n",
-    "#%tensorboard --logdir clusterlogs --port 6006"
+    "%tensorboard --logdir clusterlogs --port 6006"
    ]
   },
   {
@@ -358,15 +337,6 @@
     "  return model"
    ]
   },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "#model = get_compiled_model()"
-   ]
-  },
   {
    "cell_type": "code",
    "execution_count": null,
@@ -407,50 +377,6 @@
     "#return model"
    ]
   },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "#with strategy.scope():\n",
-    "#   get_uncompiled_model()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "#with strategy.scope():\n",
-    "#    get_compiled_model()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "#with strategy.scope():\n",
-    "#    get_fit_model()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "#multi_worker_model = get_compiled_model()\n",
-    "#multi_worker_model.fit(\n",
-    "#    x=train_data_gen,\n",
-    "#    epochs=epochs,\n",
-    "#    steps_per_epoch=total_train // batch_size\n",
-    "#    )"
-   ]
-  },
   {
    "cell_type": "code",
    "execution_count": null,
@@ -469,21 +395,6 @@
     "        )"
    ]
   },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "#with strategy.scope():\n",
-    "#    multi_worker_model = get_compiled_model()\n",
-    "#    multi_worker_model.fit(\n",
-    "#        x=train_data_gen,\n",
-    "#        epochs=epochs,\n",
-    "#        steps_per_epoch=total_train // batch_size\n",
-    "#        )"
-   ]
-  },
   {
    "cell_type": "code",
    "execution_count": null,