{"id":454,"date":"2017-09-20T12:28:54","date_gmt":"2017-09-20T03:28:54","guid":{"rendered":"http:\/\/light-of-moe.ddo.jp\/~sakura\/diary\/?p=454"},"modified":"2017-09-20T12:28:54","modified_gmt":"2017-09-20T03:28:54","slug":"tensorflow%e3%81%a7mnist%e3%81%ae%e6%ac%a1%e3%81%ab%e5%ad%a6%e3%81%b6%e3%81%a8%e8%89%af%e3%81%95%e3%81%9d%e3%81%86%e3%81%aa%e3%81%93%e3%81%a8%e3%81%9d%e3%81%ae2","status":"publish","type":"post","link":"https:\/\/light-of-moe.ddo.jp\/~sakura\/diary\/?p=454","title":{"rendered":"Tensorflow\u3067MNIST\u306e\u6b21\u306b\u5b66\u3076\u3068\u826f\u3055\u305d\u3046\u306a\u3053\u3068(\u305d\u306e2)"},"content":{"rendered":"<h2>Tensorflow \u306e savedmodel \u306e\u4f7f\u3044\u65b9<\/h2>\n<p><a href=\"https:\/\/light-of-moe.ddo.jp\/~sakura\/diary\/?p=411\">\u524d\u56de<\/a>\u306e\u7d9a\u304d\u3067\u3059\u3002<br \/>\nEstimator\u3092\u4f7f\u3048\u3070\u534a\u81ea\u52d5\u3067\u5b66\u7fd2\u306a\u3069\u3092Tensorflow\u304c\u3084\u3063\u3066\u304f\u308c\u308b\u74b0\u5883\u3092\u69cb\u7bc9\u3067\u304d\u307e\u3059\u3002<br \/>\n\u304c\u3001\u5b66\u7fd2\u7d50\u679c\u3092\u5229\u7528\u3057\u3066\u30a2\u30d7\u30ea\u306a\u3069\u3092\u4f5c\u6210\u3059\u308b\u65b9\u6cd5\u306f\u63d0\u4f9b\u3057\u3066\u304f\u308c\u307e\u305b\u3093\u3002<\/p>\n<p>savedmodel\u3068tensorflow serving\u3092\u5229\u7528\u3059\u308b\u3053\u3068\u3067\u3001\u5b66\u7fd2\u7d50\u679c\u304b\u3089\u30a2\u30d7\u30ea\u3092\u624b\u8efd\u306b\u63d0\u4f9b\u3067\u304d\u308b\u3088\u3046\u306b\u306a\u308a\u307e\u3059\u3002<\/p>\n<h2>savedmodel \u306e\u4f5c\u6210\u65b9\u6cd5<\/h2>\n<p>saved model\u306ftensorflow\u306e\u5b66\u7fd2\u7d50\u679c\u4fdd\u5b58\u3057\u305f\u3082\u306e\u3067\u3059\u3002<br \/>\n<a href=\"https:\/\/www.tensorflow.org\/api_docs\/python\/tf\/estimator\/Estimator\">Estimator<\/a>\u306esavedmodel\u30e1\u30bd\u30c3\u30c9\u3092\u547c\u3079\u3070\u751f\u6210\u3057\u3066\u304f\u308c\u307e\u3059\u3002<\/p>\n<p>\u305f\u3060\u3057\u3001\u30e2\u30c7\u30eb\u306b\u5bfe\u3059\u308b\u5165\u529b\u3001\u51fa\u529b\u306e\u5f62\u5f0f\u3092<code>tf.feature_column<\/code>\u306a\u3069\u3092\u5229\u7528\u3057\u3066\u5b9a\u7fa9\u3057\u3066\u3042\u3052\u308b\u5fc5\u8981\u304c\u3042\u308a\u307e\u3059\u3002<br \/>\n\u307e\u305f\u3001EstimatorSpec\u306e\u5b9a\u7fa9\u3082\u82e5\u5e72\u3053\u308c\u306b\u5408\u308f\u305b\u3066\u4fee\u6b63\u304c\u5fc5\u8981\u3068\u306a\u308a\u307e\u3059\u3002<\/p>\n<h3>Estimator\u3078export_outputs\u3092\u8ffd\u52a0<\/h3>\n<p>\u5b9f\u969b\u306b\u8ffd\u52a0\u3057\u305fEstimator\u306emodel_fn\u306e\u4f8b\u3092\u793a\u3057\u307e\u3059\u3002<\/p>\n<pre><code class=\"python\"><br \/># \u5165\u529b\u306e\u5f62\u5f0f\u3092\u6307\u5b9a\ninputs = [tf.feature_column.numeric_column('x',shape=4)]\n\n## estimator \u306emodel_fn\u3092\u4f5c\u6210\ndef model_fn(features, labels, mode, params):\n\n    # \u5165\u529b\u5c64\u3092\u8ffd\u52a0\n    input_layer = tf.feature_column.input_layer(features, inputs)\n    hidden1 = tf.layers.dense(inputs=input_layer, units=10, activation=tf.nn.relu)\n    hidden2 = tf.layers.dense(inputs=hidden1,units=20, activation=tf.nn.relu)\n    hidden3 = tf.layers.dense(inputs=hidden2, units=10, activation=tf.nn.relu)\n    y = tf.layers.dense(inputs=hidden3, units=3, activation=tf.nn.softmax)\n\n    loss = None\n    train_op = None\n\n    if mode != tf.estimator.ModeKeys.PREDICT:\n        y_ = tf.one_hot(labels, depth=3)\n        loss = tf.reduce_mean(-tf.reduce_sum(y_ * tf.log(y), reduction_indices=[1]))\n        train_op = tf.train.GradientDescentOptimizer(0.01).minimize(loss, \n            global_step=tf.train.get_global_step())\n\n    predictions = y\n\n    # \u51fa\u529b\u5f62\u5f0f\u306eexport_outputs \u3092\u3053\u3053\u3067\u8ffd\u52a0\n    export_outputs = {\"classes\": tf.estimator.export.PredictOutput({\"labels\": y})}\n\n    # EstimatorSpec\u751f\u6210\u306e\u969b\u306e\u5f15\u6570\u306bexport_outputs\u3092\u8ffd\u52a0\n    spec = tf.estimator.EstimatorSpec(mode=mode,\n                                      predictions=predictions,\n                                      loss=loss,\n                                      train_op=train_op,\n                                      export_outputs=export_outputs)\n    return spec\n<\/code><\/pre>\n<h2>savedmodel\u306e\u5b9f\u884c\u306b\u5fc5\u8981\u306a\u95a2\u6570\u3092\u5b9a\u7fa9<\/h2>\n<p>saved model\u306e\u5b9f\u884c\u306b\u306f\u4fdd\u6301\u3057\u3066\u3044\u308b\u5165\u529b\u30c7\u30fc\u30bf\u306e\u5f62\u5f0f\u3068\u4e0e\u3048\u3089\u308c\u305f\u5165\u529b\u30c7\u30fc\u30bf\u3092\u8aad\u53d6\u308b\u95a2\u6570\u304c\u5fc5\u8981\u3067\u3059\u3002<br \/>\n\u3053\u306e\u8fba\u306f\u304a\u4f5c\u6cd5\u3060\u3068\u601d\u3046\u306e\u3067\u3001<a href=\"https:\/\/www.tensorflow.org\/programmers_guide\/saved_model#preparing_serving_inputs\">\u3053\u306e\u8fba\u308a<\/a>\u3092\u53c2\u8003\u306b\u3057\u3064\u3064\u5b9a\u7fa9\u3057\u307e\u3059\u3002<\/p>\n<pre><code class=\"python\">feature_spec = tf.feature_column.make_parse_example_spec(inputs)\nexport_input_fn = tf.estimator.export.build_parsing_serving_input_receiver_fn(feature_spec)\n<\/code><\/pre>\n<h2>savedmodel\u3092\u5b9f\u884c<\/h2>\n<p>\u3053\u3053\u307e\u3067\u3067\u3001savedmodel\u3092\u751f\u6210\u3059\u308b\u6e96\u5099\u304c\u6574\u3063\u305f\u306e\u3067<code>savedmodel<\/code>\u30e1\u30bd\u30c3\u30c9\u3092\u5b9f\u884c\u3057\u3066\u307f\u307e\u3059\u3002<\/p>\n<pre><code class=\"python\">nn.export_savedmodel(\".\/sample\", export_input_fn)\n<\/code><\/pre>\n<p>\u6307\u5b9a\u3057\u305f\u30c7\u30a3\u30ec\u30af\u30c8\u30ea\u306b\u8272\u3005\u30c7\u30fc\u30bf\u304c\u4fdd\u5b58\u3055\u308c\u3066\u3044\u308b\u3068\u601d\u3044\u307e\u3059\u3002<\/p>\n<h2>Tensorflow Serving \u306e\u4f7f\u3044\u65b9<\/h2>\n<p>\u3053\u3053\u307e\u3067\u3067savedmodel\u304c\u751f\u6210\u3055\u308c\u305f\u306e\u3067\u3001\u305d\u308c\u3092\u4f7f\u3063\u3066\u7c21\u5358\u306a\u30a2\u30d7\u30ea\u3092\u4f5c\u3063\u3066\u307f\u307e\u3059\u3002<\/p>\n<h3>Tensorflow serving\u3068\u306f<\/h3>\n<p><a href=\"https:\/\/www.tensorflow.org\/serving\/\">\u516c\u5f0f<\/a>\u306e\u8aac\u660e\u304c\u4e00\u756a\u826f\u3044\u3068\u601d\u3044\u307e\u3059\u3002<br \/>\ntensorflow serving\u81ea\u4f53\u306e\u30a2\u30fc\u30ad\u30c6\u30af\u30c1\u30e3\u306a\u3069\u8272\u3005\u8208\u5473\u6df1\u3044\u306e\u3067\u3059\u304c\u3001\u3068\u308a\u3042\u3048\u305a\u4ee5\u4e0b\u306e\u3088\u3046\u306a\u3082\u306e\u3060\u3068\u601d\u3048\u3070\u826f\u3044\u3067\u3059\u3002<\/p>\n<ul>\n<li>Tensorflow serving\u306b\u306f\u30b5\u30fc\u30d0\u3068\u30af\u30e9\u30a4\u30a2\u30f3\u30c8\u304c\u3042\u308b<\/li>\n<li>\u901a\u4fe1\u306fgrpc\u304c\u53d6\u308a\u6301\u3064<\/li>\n<li>\u30b5\u30fc\u30d0\u306fsaved model\u3092\u5229\u7528\u3057\u3066\u4e88\u6e2c\u306a\u3069\u304c\u51fa\u6765\u308b<\/li>\n<li>\u30af\u30e9\u30a4\u30a2\u30f3\u30c8\u304b\u3089\u306f\u30c7\u30fc\u30bf\u3092\u9001\u4fe1\u3057\u3066\u30b5\u30fc\u30d0\u5074\u306b\u4e88\u6e2c\u3092\u3055\u305b\u308b\u3053\u3068\u304c\u51fa\u6765\u308b<\/li>\n<\/ul>\n<p>\u5b9f\u969b\u306e\u904b\u7528\u3068\u3057\u3066\u306f\u3001\u30b5\u30fc\u30d0\u3092\u81ea\u524d\u3067\u958b\u767a\u3059\u308b\u3053\u3068\u306f\u7121\u3044 &amp; \u30af\u30e9\u30a4\u30a2\u30f3\u30c8\u3082API\u304c\u3042\u308b\u306e\u3067\u305d\u308c\u3092\u547c\u3076\u3060\u3051\u306a\u306e\u3067<br \/>\n\u624b\u8efd\u306bTensorflow\u3092\u4f7f\u3063\u305f\u30a2\u30d7\u30ea\u304c\u958b\u767a\u3067\u304d\u308b\u57fa\u76e4\u3068\u306a\u3063\u3066\u3044\u307e\u3059\u3002<\/p>\n<h3>Tensorflow Serving\u306e\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb<\/h3>\n<p><a href=\"https:\/\/www.tensorflow.org\/serving\/setup\">\u516c\u5f0f<\/a>\u3092\u53c2\u8003\u306b\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3057\u307e\u3059\u3002<br \/>\ntensorflow\u306e\u30b3\u30f3\u30d1\u30a4\u30eb\u3092\u3059\u308b\u3088\u3046\u306a\u30d5\u30ed\u30fc\u306b\u306a\u3063\u3066\u3044\u307e\u3059\u304c\u6642\u9593\u304c\u304b\u304b\u308b\u306e\u3067\u9069\u5f53\u306a\u4eee\u60f3\u30de\u30b7\u30f3\u306bubuntu\u3067<code>apt-get<\/code>\u3067\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3059\u308b\u306e\u304c\u624b\u8efd\u3067\u3059\u3002<\/p>\n<h3>\u30b5\u30fc\u30d0\u306e\u8d77\u52d5<\/h3>\n<p>\u307e\u305a\u306f\u30b5\u30fc\u30d0\u3092\u8d77\u52d5\u3057\u3066\u307f\u307e\u3059\u3002<code>apt-get<\/code>\u3067\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3057\u305f\u5834\u5408\u306f\u3001\u4ee5\u4e0b\u306e\u30b3\u30de\u30f3\u30c9\u3067\u8d77\u52d5\u3067\u304d\u307e\u3059\u3002<\/p>\n<pre><code class=\"shell\">$ tensorflow_model_server --model_base_path=\/home\/ubuntu\/model-server\/sample\/ --model_name=\"sample\"\n<\/code><\/pre>\n<p><code>--model_base_path<\/code>\u306b\u306f<code>savedmodel<\/code>\u306e\u3042\u308b\u30c7\u30a3\u30ec\u30af\u30c8\u30ea\u3092\u6307\u5b9a\u3057\u3066\u3001<code>--model_name<\/code>\u306b\u306f\u30e2\u30c7\u30eb\u306e\u9069\u5f53\u306a\u540d\u524d\u3092\u6307\u5b9a\u3057\u3066\u4e0b\u3055\u3044\u3002<br \/>\n\u30b5\u30fc\u30d0\u306f\u30c7\u30d5\u30a9\u30eb\u30c8\u3060\u30688500\u756a\u30dd\u30fc\u30c8\u3092\u5229\u7528\u3059\u308b\u3088\u3046\u3067\u3059\u3002<\/p>\n<p>\u5b9f\u884c\u6642\u306e\u30ed\u30b0\u306f\u4ee5\u4e0b\u306e\u3088\u3046\u306a\u611f\u3058\u3067\u3059\u3002<\/p>\n<pre><code>tensorflow_model_server  --model_base_path=\/home\/ubuntu\/sample --model_name=sample\n2017-09-20 02:40:11.807587: I tensorflow_serving\/model_servers\/main.cc:147] Building single TensorFlow model file config:  model_name: sample model_base_path: \/home\/ubuntu\/sample\n2017-09-20 02:40:11.809979: I tensorflow_serving\/model_servers\/server_core.cc:434] Adding\/updating models.\n2017-09-20 02:40:11.810004: I tensorflow_serving\/model_servers\/server_core.cc:485]  (Re-)adding model: sample\n2017-09-20 02:40:11.911332: I tensorflow_serving\/core\/basic_manager.cc:705] Successfully reserved resources to load servable {name: sample version: 1505554994}\n2017-09-20 02:40:11.911376: I tensorflow_serving\/core\/loader_harness.cc:66] Approving load for servable version {name: sample version: 1505554994}\n2017-09-20 02:40:11.911401: I tensorflow_serving\/core\/loader_harness.cc:74] Loading servable version {name: sample version: 1505554994}\n2017-09-20 02:40:11.911439: I external\/org_tensorflow\/tensorflow\/contrib\/session_bundle\/bundle_shim.cc:360] Attempting to load native SavedModelBundle in bundle-shim from: \/home\/ubuntu\/sample\/1505554994\n2017-09-20 02:40:11.911467: I external\/org_tensorflow\/tensorflow\/cc\/saved_model\/loader.cc:236] Loading SavedModel from: \/home\/ubuntu\/sample\/1505554994\n2017-09-20 02:40:11.939715: I external\/org_tensorflow\/tensorflow\/cc\/saved_model\/loader.cc:155] Restoring SavedModel bundle.\n2017-09-20 02:40:11.955666: I external\/org_tensorflow\/tensorflow\/cc\/saved_model\/loader.cc:190] Running LegacyInitOp on SavedModel bundle.\n2017-09-20 02:40:11.956652: I external\/org_tensorflow\/tensorflow\/cc\/saved_model\/loader.cc:284] Loading SavedModel: success. Took 45177 microseconds.\n2017-09-20 02:40:11.956856: I tensorflow_serving\/core\/loader_harness.cc:86] Successfully loaded servable version {name: sample version: 1505554994}\n2017-09-20 02:40:11.959690: I tensorflow_serving\/model_servers\/main.cc:288] Running ModelServer at 0.0.0.0:8500 ...\n<\/code><\/pre>\n<h3>\u30af\u30e9\u30a4\u30a2\u30f3\u30c8\u306e\u5b9f\u88c5<\/h3>\n<p>\u305d\u308c\u3067\u306f\u30af\u30e9\u30a4\u30a2\u30f3\u30c8\u3092python\u3067\u5b9f\u88c5\u3057\u3066\u307f\u307e\u3059\u3002<br \/>\n\u30e9\u30a4\u30d6\u30e9\u30ea\u306f<code>pip install tensorflow-serving-api<\/code>\u3067\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3067\u304d\u307e\u3059\u3002<\/p>\n<pre><code class=\"python\">from __future__ import absolute_import\nfrom __future__ import division\nfrom __future__ import print_function\n\nimport numpy as np\nimport tensorflow as tf\nfrom grpc.beta import implementations\nfrom tensorflow_serving.apis import predict_pb2\nfrom tensorflow_serving.apis import prediction_service_pb2\n\n# \u30b5\u30fc\u30d0\u306e\u30a2\u30c9\u30ec\u30b9\u3068\u30dd\u30fc\u30c8\u306e\u6307\u5b9a\ntf.app.flags.DEFINE_string('server', '127.0.0.1:8500', 'Server host:port.')\n# \u30b5\u30fc\u30d0\u306e\u8d77\u52d5\u6642\u306b\u6307\u5b9a\u3057\u305f\u30e2\u30c7\u30eb\u306e\u540d\u524d(model_name)\ntf.app.flags.DEFINE_string('model', 'sample', 'Model name.')\n\nFLAGS = tf.app.flags.FLAGS\n\ndef _float_feature(value):\n  return tf.train.Feature(float_list=tf.train.FloatList(value=[value]))\n\ndef _bytes_feature(value):\n  return tf.train.Feature(bytes_list=tf.train.BytesList(value=[value]))\n\ndef main(_):\n  host, port = FLAGS.server.split(':')\n  channel = implementations.insecure_channel(host, int(port))\n  stub = prediction_service_pb2.beta_create_PredictionService_stub(channel)\n\n  request = predict_pb2.PredictRequest()\n  request.model_spec.name = FLAGS.model\n  request.model_spec.signature_name = 'serving_default'\n\n  # \u4e88\u6e2c\u3057\u3066\u6b32\u3057\u3044\u30c7\u30fc\u30bf\u3092\u6e96\u5099\n  feature_dict = {\"x\": tf.train.Feature(float_list=tf.train.FloatList(value=[2.0,2,5,4]))}\n  example = tf.train.Example(features=tf.train.Features(feature=feature_dict))\n  serialized = example.SerializeToString()\n  request.inputs['examples'].CopyFrom(tf.contrib.util.make_tensor_proto(serialized, shape=[1]))\n\n  # \u30b5\u30fc\u30d0\u306eAPI\u3092\u547c\u3073\u51fa\u3059\n  label = 0\n  result_future = stub.Predict.future(request, 5.0)\n  # \u7d50\u679c\u3092\u78ba\u8a8d\n  prediction = result_future.result().outputs['labels']\n  print(prediction)\n\nif __name__ == '__main__':\n  tf.app.run()\n\n<\/code><\/pre>\n<p>\u305d\u308c\u3067\u306f\u3001\u5b9f\u884c\u3057\u3066\u307f\u307e\u3059\u3002<\/p>\n<pre><code class=\"shell\">python client.py \ndtype: DT_FLOAT\ntensor_shape {\n  dim {\n    size: 1\n  }\n  dim {\n    size: 3\n  }\n}\nfloat_val: 1.38398981164e-09\nfloat_val: 8.47830669954e-05\nfloat_val: 0.999915242195\n\n<\/code><\/pre>\n<p>\u304a\u3049\u30fc\u3002\u306a\u3093\u304b\u3061\u3083\u3093\u3068\u4e88\u6e2c\u51fa\u6765\u3066\u305d\u3046\u306a\u7d50\u679c\u3092\u5f97\u308b\u3053\u3068\u304c\u51fa\u6765\u307e\u3057\u305f\u3002<br \/>\n\u3042\u3068\u306f\u3001\u4f5c\u308a\u305f\u3044\u30a2\u30d7\u30ea\u306b\u3088\u3063\u3066\u7d50\u679c\u3092\u6574\u5f62\u3057\u3066\u8868\u793a\u3059\u308c\u3070\u7c21\u5358\u306a\u30a2\u30d7\u30ea\u306f\u5b9f\u88c5\u3067\u304d\u305d\u3046\u3067\u3059\u306d\u3002<\/p>\n<h2>\u6ce8\u610f\u70b9<\/h2>\n<p>tensorflow serving\u304c\u5165\u529b\u3068\u3057\u3066\u8aad\u3080\u5834\u5408\u306e\u8f9e\u66f8\u306ekey\u304c\u3069\u3046\u3082\u30c7\u30fc\u30bf\u306b\u3088\u3063\u3066\u5909\u308f\u3063\u305f\u308a\u3059\u308b\u3088\u3046\u3067\u3059\u3002<br \/>\n\u306a\u306e\u3067\u3001savedmodel\u3092\u4f5c\u6210\u3059\u308b\u3068\u304d\u306b\u3001<code>as_text=True<\/code>\u3092\u6307\u5b9a\u3057\u3066\u30c7\u30fc\u30bf\u3092\u4e00\u5ea6\u751f\u6210\u3057\u3066\u4e2d\u8eab\u3092\u773a\u3081\u3066\u307f\u308b\u3068<br \/>\n\u4e0a\u624b\u304f\u52d5\u4f5c\u3057\u306a\u3044\u5834\u5408\u306b\u30c7\u30d0\u30c3\u30b0\u306e\u624b\u639b\u304b\u308a\u306b\u306a\u308b\u304b\u3068\u601d\u3044\u307e\u3059\u3002<\/p>\n<pre><code>nn.export_savedmodel(\".\/sample\", export_input_fn,  as_text=True)\n<\/code><\/pre>\n<h2>\u5168\u4f53\u7684\u306a\u307e\u3068\u3081<\/h2>\n<ul>\n<li>Estimator\u3092\u7a4d\u6975\u7684\u306b\u5229\u7528\u3059\u308b\u3068\u5927\u5206\u624b\u8efd\u306btensorflow\u3067\u904a\u3079\u308b<\/li>\n<li>saved model\u3092\u5229\u7528\u3059\u308c\u3070\u5b66\u7fd2\u30c7\u30fc\u30bf\u306e\u53ef\u642c\u6027\u304c\u9ad8\u307e\u308b\n<ul>\n<li>saved model\u3092\u4f5c\u308b\u306b\u306f\u5165\u51fa\u529b\u306e\u5f62\u5f0f\u3092EstimatorSpec\u3067\u6307\u5b9a\u3059\u308b\u5fc5\u8981\u304c\u3042\u308b<\/li>\n<li>savedmodel\u306e\u5b9f\u884c\u306b\u306f\u5165\u529b\u306e\u5f62\u5f0f\u3068\u5165\u529b\u30c7\u30fc\u30bf\u306e\u51e6\u7406\u65b9\u6cd5\u3092\u6307\u5b9a\u3059\u308b\u95a2\u6570\u3092\u6307\u5b9a\u3059\u308b\u5fc5\u8981\u304c\u3042\u308b<\/li>\n<\/ul>\n<\/li>\n<li>tensorflow serving\u3092\u4f7f\u3046\u3068savedmodel\u3092\u5229\u7528\u3057\u3066\u30a2\u30d7\u30ea\u30b1\u30fc\u30b7\u30e7\u30f3\u958b\u767a\u304c\u6357\u308b<\/li>\n<\/ul>\n<p>\u3042\u3068\u306f\u9811\u5f35\u3063\u3066\u52d5\u304f\u3082\u306e\u3092\u4f5c\u308a\u305f\u3044\u6240\u5b58\u2026\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Tensorflow \u306e savedmodel \u306e\u4f7f\u3044\u65b9 \u524d\u56de\u306e\u7d9a\u304d\u3067\u3059\u3002 Estimator\u3092\u4f7f\u3048\u3070\u534a\u81ea\u52d5\u3067\u5b66\u7fd2\u306a\u3069\u3092Tensorflow\u304c\u3084\u3063\u3066\u304f\u308c\u308b\u74b0\u5883\u3092\u69cb\u7bc9\u3067\u304d\u307e\u3059\u3002 \u304c\u3001\u5b66\u7fd2\u7d50\u679c\u3092\u5229\u7528\u3057\u3066\u30a2\u30d7\u30ea\u306a\u3069\u3092\u4f5c\u6210\u3059\u308b\u65b9\u2026 <span class=\"read-more\"><a href=\"https:\/\/light-of-moe.ddo.jp\/~sakura\/diary\/?p=454\">\u7d9a\u304d\u3092\u8aad\u3080 &raquo;<\/a><\/span><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":false,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"_jetpack_memberships_contains_paid_content":false,"footnotes":"","jetpack_publicize_message":"","jetpack_publicize_feature_enabled":true,"jetpack_social_post_already_shared":true,"jetpack_social_options":{"image_generator_settings":{"template":"highway","default_image_id":0,"font":"","enabled":false},"version":2},"jetpack_post_was_ever_published":false},"categories":[4,3,2],"tags":[],"class_list":["post-454","post","type-post","status-publish","format-standard","hentry","category-deeplearning","category-python","category-tensorflow"],"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"jetpack_shortlink":"https:\/\/wp.me\/p4wwqG-7k","_links":{"self":[{"href":"https:\/\/light-of-moe.ddo.jp\/~sakura\/diary\/index.php?rest_route=\/wp\/v2\/posts\/454","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/light-of-moe.ddo.jp\/~sakura\/diary\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/light-of-moe.ddo.jp\/~sakura\/diary\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/light-of-moe.ddo.jp\/~sakura\/diary\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/light-of-moe.ddo.jp\/~sakura\/diary\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=454"}],"version-history":[{"count":11,"href":"https:\/\/light-of-moe.ddo.jp\/~sakura\/diary\/index.php?rest_route=\/wp\/v2\/posts\/454\/revisions"}],"predecessor-version":[{"id":465,"href":"https:\/\/light-of-moe.ddo.jp\/~sakura\/diary\/index.php?rest_route=\/wp\/v2\/posts\/454\/revisions\/465"}],"wp:attachment":[{"href":"https:\/\/light-of-moe.ddo.jp\/~sakura\/diary\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=454"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/light-of-moe.ddo.jp\/~sakura\/diary\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=454"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/light-of-moe.ddo.jp\/~sakura\/diary\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=454"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}