review feedback

ImageClassificationWithPytorch.ipynb

@@ -11,7 +11,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 28,
+   "execution_count": 1,
    "id": "1e657632",
    "metadata": {},
    "outputs": [],
@@ -40,7 +40,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 29,
+   "execution_count": 2,
    "id": "56edea97",
    "metadata": {},
    "outputs": [],
@@ -69,7 +69,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 31,
+   "execution_count": 3,
    "id": "59b6599a",
    "metadata": {},
    "outputs": [
@@ -79,7 +79,7 @@
        "True"
       ]
      },
-     "execution_count": 31,
+     "execution_count": 3,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -104,7 +104,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 32,
+   "execution_count": 4,
    "id": "f7ddde68",
    "metadata": {},
    "outputs": [
@@ -114,7 +114,7 @@
        "'OK'"
       ]
      },
-     "execution_count": 32,
+     "execution_count": 4,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -142,7 +142,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 5,
    "id": "50bb90b1",
    "metadata": {},
    "outputs": [
@@ -152,7 +152,7 @@
        "'OK'"
       ]
      },
-     "execution_count": 8,
+     "execution_count": 5,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -189,7 +189,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 6,
    "id": "fe95d716",
    "metadata": {},
    "outputs": [],
@@ -213,7 +213,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 49,
+   "execution_count": 7,
    "id": "f24ce05d",
    "metadata": {},
    "outputs": [
@@ -231,7 +231,7 @@
     "con.modelexecute('pytorch_model', 'processed', 'model_out')\n",
     "con.scriptexecute('processing_script', 'post_process', inputs='model_out', outputs='final')\n",
     "final = con.tensorget('final')\n",
-    "print(final[0], class_idx[str(ind[0])])"
+    "print(final[0], class_idx[str(final[0])])"
    ]
   },
   {
@@ -240,12 +240,12 @@
    "metadata": {},
    "source": [
     "## Running with DAG\n",
-    "Although this looks good, each of these calls has a network overhead of going back and forth and sometimes it's better to run everything as a single execution and that's what you can do with RedisAI DAG. DAGs are much more powerful than that but let's discuss that in another tutorial. Here we first setup a dag object and track all the operations we did above in the dag. Note that none of these tracking steps sends a request to RedisAI server. Once the dag object is ready with all the paths, you can trigger `dag.run()` to initiate the DAG execution in RedisAI backend"
+    "Although this looks good, each of these calls has a network overhead of going back and forth and sometimes it's better to run everything as a single execution and that's what you can do with RedisAI DAG. DAGs are much more powerful than that but let's discuss that in another tutorial. Here we first setup a dag object and track all the operations we did above in the dag. Note that none of these tracking steps sends a request to RedisAI server. Once the dag object is ready with all the paths, you can trigger `dag.execute()` to initiate the DAG execution in RedisAI backend"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 51,
+   "execution_count": 8,
    "id": "40e02215",
    "metadata": {},
    "outputs": [
@@ -255,14 +255,6 @@
      "text": [
       "281 tabby, tabby catamount\n"
      ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/var/folders/66/g3bgwk8s0mq9fmm1d32nmb8c0000gq/T/ipykernel_16269/3084769917.py:8: DeprecationWarning: Call to deprecated method run. (Use execute instead) -- Deprecated since version 1.2.0.\n",
-      "  final = dag.run()[-1]\n"
-     ]
     }
    ],
    "source": [
@@ -273,17 +265,9 @@
     "dag.scriptexecute('processing_script', 'post_process', inputs='model_out', outputs='final')\n",
     "dag.tensorget('final')\n",
     "\n",
-    "final = dag.run()[-1]\n",
-    "print(final[0], class_idx[str(ind[0])])"
+    "final = dag.execute()[-1]\n",
+    "print(final[0], class_idx[str(final[0])])"
    ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "3fd407e5",
-   "metadata": {},
-   "outputs": [],
-   "source": []
   }
  ],
  "metadata": {