How can I export a model with multiple data partitionRelationship between tensorflow saver, exporter and save modelhow to use SavedModelBuilder to export a nlp modelLoading trained Tensorflow model into estimatorDistributed Tensorflow Estimator execution does not trigger evaluation or exportTensorflow warm_start even if checkpoint foundHow to make optimistic restore work with TPU Estimator in Tensorflow?Serving retrained Tensorflow Hub module with new features`get_variable()` doesn't recognize existing variables for tf.estimatorfreeze_graph MemoryError for .pbtxt from TF.EstimatorAdd labels to estimator.export_saved_model when exporting a keras model for google cloud
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How can I export a model with multiple data partition
Relationship between tensorflow saver, exporter and save modelhow to use SavedModelBuilder to export a nlp modelLoading trained Tensorflow model into estimatorDistributed Tensorflow Estimator execution does not trigger evaluation or exportTensorflow warm_start even if checkpoint foundHow to make optimistic restore work with TPU Estimator in Tensorflow?Serving retrained Tensorflow Hub module with new features`get_variable()` doesn't recognize existing variables for tf.estimatorfreeze_graph MemoryError for .pbtxt from TF.EstimatorAdd labels to estimator.export_saved_model when exporting a keras model for google cloud
.everyoneloves__top-leaderboard:empty,.everyoneloves__mid-leaderboard:empty,.everyoneloves__bot-mid-leaderboard:empty margin-bottom:0;
I want to export the model from checkpoint with estimator, and the variable data is stored in one file. I want the variable data to be stored in multi files so that I can distcp it faster.
I tried launched multi workers to export, but it does not work.
Here is some of my codes:
if self.job_name == "worker":
if FLAGS.ckpt != '' and int(FLAGS.ckpt) > 0:
estimator.export_savedmodel(self.export_model_path,
receiver_fn_raw(self.params['dense_num'], self.params['feature_conf'],
self.params['list_num']),
checkpoint_path=self.ckpt_dir)
else:
estimator.export_savedmodel(self.export_model_path,
receiver_fn_raw(self.params['dense_num'], self.params['feature_conf'],
self.params['list_num']))
tensorflow tensorflow-serving tensorflow-estimator
add a comment |
I want to export the model from checkpoint with estimator, and the variable data is stored in one file. I want the variable data to be stored in multi files so that I can distcp it faster.
I tried launched multi workers to export, but it does not work.
Here is some of my codes:
if self.job_name == "worker":
if FLAGS.ckpt != '' and int(FLAGS.ckpt) > 0:
estimator.export_savedmodel(self.export_model_path,
receiver_fn_raw(self.params['dense_num'], self.params['feature_conf'],
self.params['list_num']),
checkpoint_path=self.ckpt_dir)
else:
estimator.export_savedmodel(self.export_model_path,
receiver_fn_raw(self.params['dense_num'], self.params['feature_conf'],
self.params['list_num']))
tensorflow tensorflow-serving tensorflow-estimator
add a comment |
I want to export the model from checkpoint with estimator, and the variable data is stored in one file. I want the variable data to be stored in multi files so that I can distcp it faster.
I tried launched multi workers to export, but it does not work.
Here is some of my codes:
if self.job_name == "worker":
if FLAGS.ckpt != '' and int(FLAGS.ckpt) > 0:
estimator.export_savedmodel(self.export_model_path,
receiver_fn_raw(self.params['dense_num'], self.params['feature_conf'],
self.params['list_num']),
checkpoint_path=self.ckpt_dir)
else:
estimator.export_savedmodel(self.export_model_path,
receiver_fn_raw(self.params['dense_num'], self.params['feature_conf'],
self.params['list_num']))
tensorflow tensorflow-serving tensorflow-estimator
I want to export the model from checkpoint with estimator, and the variable data is stored in one file. I want the variable data to be stored in multi files so that I can distcp it faster.
I tried launched multi workers to export, but it does not work.
Here is some of my codes:
if self.job_name == "worker":
if FLAGS.ckpt != '' and int(FLAGS.ckpt) > 0:
estimator.export_savedmodel(self.export_model_path,
receiver_fn_raw(self.params['dense_num'], self.params['feature_conf'],
self.params['list_num']),
checkpoint_path=self.ckpt_dir)
else:
estimator.export_savedmodel(self.export_model_path,
receiver_fn_raw(self.params['dense_num'], self.params['feature_conf'],
self.params['list_num']))
tensorflow tensorflow-serving tensorflow-estimator
tensorflow tensorflow-serving tensorflow-estimator
asked Mar 28 at 2:47
Xiang AplysiaXiang Aplysia
125 bronze badges
125 bronze badges
add a comment |
add a comment |
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