MachineLearning/hands-on
1
0
Fork 0
Code Issues Pull Requests Releases Activity

텐서보드 코드 분리

Browse Source
This commit is contained in:
rickiepark
2018-05-20 20:28:23 +09:00
parent 8a9b45258b
commit a57a49b3a4
2 changed files with 6 additions and 78 deletions
Download Patch File Download Diff File Expand all files Collapse all files

43
10_introduction_to_artificial_neural_networks.ipynb
View File

@@ -1631,48 +1631,11 @@
},
{
"cell_type": "code",
"execution_count": 28,
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"# 크롬 브라우저는 확인되었지만 다른 브라우저에서는 작동되지 않을 수 있습니다.\n",
"\n",
"from IPython.display import clear_output, Image, display, HTML\n",
"\n",
"def strip_consts(graph_def, max_const_size=32):\n",
" \"\"\"Strip large constant values from graph_def.\"\"\"\n",
" strip_def = tf.GraphDef()\n",
" for n0 in graph_def.node:\n",
" n = strip_def.node.add() \n",
" n.MergeFrom(n0)\n",
" if n.op == 'Const':\n",
" tensor = n.attr['value'].tensor\n",
" size = len(tensor.tensor_content)\n",
" if size > max_const_size:\n",
" tensor.tensor_content = b\"<stripped %d bytes>\"%size\n",
" return strip_def\n",
"\n",
"def show_graph(graph_def, max_const_size=32):\n",
" \"\"\"Visualize TensorFlow graph.\"\"\"\n",
" if hasattr(graph_def, 'as_graph_def'):\n",
" graph_def = graph_def.as_graph_def()\n",
" strip_def = strip_consts(graph_def, max_const_size=max_const_size)\n",
" code = \"\"\"\n",
" <script>\n",
" function load() {{\n",
" document.getElementById(\"{id}\").pbtxt = {data};\n",
" }}\n",
" </script>\n",
" <link rel=\"import\" href=\"https://tensorboard.appspot.com/tf-graph-basic.build.html\" onload=load()>\n",
" <div style=\"height:600px\">\n",
" <tf-graph-basic id=\"{id}\"></tf-graph-basic>\n",
" </div>\n",
" \"\"\".format(data=repr(str(strip_def)), id='graph'+str(np.random.rand()))\n",
"\n",
" iframe = \"\"\"\n",
" <iframe seamless style=\"width:1200px;height:620px;border:0\" srcdoc=\"{}\"></iframe>\n",
" \"\"\".format(code.replace('\"', '&quot;'))\n",
" display(HTML(iframe))"
"from tensorflow_graph_in_jupyter import show_graph"
]
},
{
@@ -2237,7 +2200,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.5.5"
"version": "3.6.5"
},
"nav_menu": {
"height": "264px",

41
14_recurrent_neural_networks.ipynb
View File

@@ -312,46 +312,11 @@
},
{
"cell_type": "code",
"execution_count": 14,
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"from IPython.display import clear_output, Image, display, HTML\n",
"\n",
"def strip_consts(graph_def, max_const_size=32):\n",
" \"\"\"Strip large constant values from graph_def.\"\"\"\n",
" strip_def = tf.GraphDef()\n",
" for n0 in graph_def.node:\n",
" n = strip_def.node.add() \n",
" n.MergeFrom(n0)\n",
" if n.op == 'Const':\n",
" tensor = n.attr['value'].tensor\n",
" size = len(tensor.tensor_content)\n",
" if size > max_const_size:\n",
" tensor.tensor_content = \"b<stripped %d bytes>\"%size\n",
" return strip_def\n",
"\n",
"def show_graph(graph_def, max_const_size=32):\n",
" \"\"\"Visualize TensorFlow graph.\"\"\"\n",
" if hasattr(graph_def, 'as_graph_def'):\n",
" graph_def = graph_def.as_graph_def()\n",
" strip_def = strip_consts(graph_def, max_const_size=max_const_size)\n",
" code = \"\"\"\n",
" <script>\n",
" function load() {{\n",
" document.getElementById(\"{id}\").pbtxt = {data};\n",
" }}\n",
" </script>\n",
" <link rel=\"import\" href=\"https://tensorboard.appspot.com/tf-graph-basic.build.html\" onload=load()>\n",
" <div style=\"height:600px\">\n",
" <tf-graph-basic id=\"{id}\"></tf-graph-basic>\n",
" </div>\n",
" \"\"\".format(data=repr(str(strip_def)), id='graph'+str(np.random.rand()))\n",
"\n",
" iframe = \"\"\"\n",
" <iframe seamless style=\"width:1200px;height:620px;border:0\" srcdoc=\"{}\"></iframe>\n",
" \"\"\".format(code.replace('\"', '&quot;'))\n",
" display(HTML(iframe))"
"from tensorflow_graph_in_jupyter import show_graph"
]
},
{
@@ -3490,7 +3455,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.5.5"
"version": "3.6.5"
},
"nav_menu": {},
"toc": {