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  /external/tensorflow/tensorflow/python/estimator/
gc.py 25 /tmp/train-1.ckpt
26 /tmp/train-2.ckpt
run_config.py 229 """Validates the save ckpt properties."""
231 # Also, if user sets one save ckpt property, say steps, the other one (secs)
estimator_test.py 678 ckpt = checkpoint_state_pb2.CheckpointState()
679 text_format.Merge(checkpoint_file_content, ckpt)
680 self.assertEqual(ckpt.model_checkpoint_path, 'model.ckpt-5')
682 ['model.ckpt-1', 'model.ckpt-5'], ckpt.all_model_checkpoint_paths)
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  /external/f2fs-tools/fsck/
main.c 512 struct f2fs_checkpoint *ckpt = F2FS_CKPT(sbi); local
513 u32 flag = le32_to_cpu(ckpt->ckpt_flags);
576 struct f2fs_checkpoint *ckpt = F2FS_CKPT(sbi); local
577 u32 flag = le32_to_cpu(ckpt->ckpt_flags);
791 if (sbi->ckpt)
792 free(sbi->ckpt);
dir.c 393 struct f2fs_checkpoint *ckpt = F2FS_CKPT(sbi); local
449 node_blk->footer.cp_ver = ckpt->checkpoint_ver;
  /external/tensorflow/tensorflow/python/training/
session_manager.py 196 ckpt = saver_mod.get_checkpoint_state(checkpoint_dir)
197 while not ckpt or not ckpt.model_checkpoint_path:
202 ckpt = saver_mod.get_checkpoint_state(checkpoint_dir)
207 saver.restore(sess, ckpt.model_checkpoint_path)
208 saver.recover_last_checkpoints(ckpt.all_model_checkpoint_paths)
  /external/tensorflow/tensorflow/contrib/slim/python/slim/
evaluation_test.py 245 checkpoint_path = os.path.join(self.get_temp_dir(), 'model.ckpt')
261 checkpoint_path = os.path.join(self.get_temp_dir(), 'model.ckpt')
learning_test.py 750 model_path = os.path.join(logdir1, 'model.ckpt-300')
798 model_path = os.path.join(logdir1, 'model.ckpt-300')
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  /external/tensorflow/tensorflow/contrib/learn/python/learn/
graph_actions_test.py 129 pattern = '%s/model.ckpt-.*' % output_dir
397 # TODO(ptucker): Resume training from previous ckpt.
439 pattern = '%s/model.ckpt-.*' % output_dir
499 # TODO(ptucker): Resume training from previous ckpt.
  /external/tensorflow/tensorflow/core/kernels/
merge_v2_checkpoints_op_test.cc 69 io::JoinPath(testing::TmpDir(), "merged/ckpt") /* merged prefix */};
  /external/tensorflow/tensorflow/docs_src/programmers_guide/
saved_model.md 60 save_path = saver.save(sess, "/tmp/model.ckpt")
88 saver.restore(sess, "/tmp/model.ckpt")
97 * There is not a physical file called "/tmp/model.ckpt". It is the **prefix**
141 saver.restore(sess, "/tmp/model.ckpt")
179 chkp.print_tensors_in_checkpoint_file("/tmp/model.ckpt", tensor_name='', all_tensors=True)
187 chkp.print_tensors_in_checkpoint_file("/tmp/model.ckpt", tensor_name='v1', all_tensors=False)
193 chkp.print_tensors_in_checkpoint_file("/tmp/model.ckpt", tensor_name='v2', all_tensors=False)
    [all...]
  /external/tensorflow/tensorflow/contrib/training/python/training/
evaluation_test.py 72 save_path = os.path.join(checkpoint_dir, 'model.ckpt')
101 save_path = os.path.join(checkpoint_dir, 'model.ckpt')
  /external/tensorflow/tensorflow/examples/speech_commands/
freeze.py 25 --start_checkpoint=/tmp/speech_commands_train/conv.ckpt-1300 \
  /external/tensorflow/tensorflow/contrib/lite/
README.md 146 - CheckPoint (.ckpt) - Serialized variables from a TensorFlow graph. Note, this does not contain the graph structure, so alone it cannot typically be interpreted.
166 --input_checkpoint=/tmp/checkpoints/mobilenet-10202.ckpt \
171 The user has to first build the freeze_graph script using bazel and then run the script. The input_binary flag has to be enabled to ensure that the protobuf is read and written in binary format. The user has to input the .pb and the .ckpt files to freeze the graph The output_node_names may not be obvious outside of the code that built the model. The easiest way to find them is to visualize the graph, either with
  /external/tensorflow/tensorflow/contrib/learn/python/learn/estimators/
estimator_test.py 715 ckpt = checkpoint_state_pb2.CheckpointState()
716 text_format.Merge(checkpoint_file_content, ckpt)
717 self.assertEqual(ckpt.model_checkpoint_path, 'model.ckpt-5')
718 self.assertAllEqual(['model.ckpt-1', 'model.ckpt-5'],
719 ckpt.all_model_checkpoint_paths)
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  /external/tensorflow/tensorflow/contrib/eager/python/examples/mnist/
mnist.py 191 checkpoint_prefix = os.path.join(FLAGS.checkpoint_dir, 'ckpt')
  /external/tensorflow/tensorflow/examples/tutorials/mnist/
fully_connected_feed.py 193 checkpoint_file = os.path.join(FLAGS.log_dir, 'model.ckpt')
  /external/tensorflow/tensorflow/python/keras/_impl/keras/
estimator.py 245 saver.save(sess, os.path.join(estimator.model_dir, 'keras_model.ckpt'))
  /external/tensorflow/tensorflow/python/tools/
freeze_graph.py 30 --input_checkpoint=model.ckpt-8361242 \
  /external/tensorflow/tensorflow/contrib/eager/python/g3doc/
guide.md 596 saver.save('/tmp/ckpt')
603 saver.restore('/tmp/ckpt')
691 checkpoint_prefix = os.path.join(checkpoint_directory, 'ckpt')
  /external/tensorflow/tensorflow/contrib/slim/
README.md 622 restorer.restore(sess, "/tmp/model.ckpt")
663 restorer.restore(sess, "/tmp/model.ckpt")
702 restorer.restore(sess, "/tmp/model.ckpt")
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  /external/tensorflow/tensorflow/docs_src/tutorials/
audio_recognition.md 72 "/tmp/speech_commands_train/conv.ckpt-100"`
77 `--start_checkpoint=/tmp/speech_commands_train/conv.ckpt-100` as a command line
188 --start_checkpoint=/tmp/speech_commands_train/conv.ckpt-18000 \
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  /external/tensorflow/tensorflow/contrib/eager/python/examples/gan/
mnist.py 285 checkpoint_prefix = os.path.join(FLAGS.checkpoint_dir, 'ckpt')
  /external/tensorflow/tensorflow/contrib/eager/python/examples/rnn_ptb/
rnn_ptb.py 323 os.path.join(FLAGS.logdir, "ckpt"))
  /external/tensorflow/tensorflow/core/profiler/g3doc/
command_line.md 118 --checkpoint_path=model.ckpt

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