| /external/llvm/lib/Support/ |
| CommandLine.cpp | 686 void cl::TokenizeGNUCommandLine(StringRef Src, StringSaver &Saver,
728 NewArgv.push_back(Saver.save(Token.c_str()));
739 NewArgv.push_back(Saver.save(Token.c_str()));
783 void cl::TokenizeWindowsCommandLine(StringRef Src, StringSaver &Saver,
820 NewArgv.push_back(Saver.save(Token.c_str()));
855 NewArgv.push_back(Saver.save(Token.c_str()));
867 static bool ExpandResponseFile(const char *FName, StringSaver &Saver,
893 Tokenizer(Str, Saver, NewArgv, MarkEOLs);
900 bool cl::ExpandResponseFiles(StringSaver &Saver, TokenizerCallback Tokenizer,
929 if (!ExpandResponseFile(Arg + 1, Saver, Tokenizer, ExpandedArgv
[all...] |
| /external/llvm/unittests/Support/ |
| CommandLineTest.cpp | 167 typedef void ParserFunction(StringRef Source, StringSaver &Saver,
175 StringSaver Saver(A);
176 parse(Input, Saver, Actual, /*MarkEOLs=*/false);
|
| /external/tensorflow/tensorflow/contrib/opt/python/training/ |
| elastic_average_optimizer.py | 31 from tensorflow.python.training import saver
401 """Create a saver copy global_center_variable to trainable variables
403 ElasticAverageCustomGetter. For evaluations or inference, use this saver
407 var_list: List of variables to save, as per `Saver()`.
410 name: The name of the saver.
411 **kwargs: Keyword arguments of `Saver()`.
413 A `tf.train.Saver` object.
444 return saver.Saver(swapped_var_list, name=name, **kwargs)
|
| moving_average_optimizer.py | 28 from tensorflow.python.training import saver
54 // Then create your saver like this:
55 saver = opt.swapping_saver()
60 saver=saver)
63 Note that for evaluation, the normal saver should be used instead of
137 """Create a saver swapping moving averages and variables.
139 You should use this saver during training. It will save the moving averages
141 evaluations or inference you should use a regular saver and it will
148 var_list: List of variables to save, as per `Saver()`
[all...] |
| elastic_average_optimizer_test.py | 32 from tensorflow.python.training import saver
132 saver = opt.swapping_saver()
140 savers.append(saver)
208 saver_opt = saver.Saver(var_list=[v1, v0])
270 s = saver.Saver(var_list=[partition_var])
|
| /external/tensorflow/tensorflow/contrib/slim/python/slim/ |
| evaluation_test.py | 45 from tensorflow.python.training import saver as saver_lib
102 saver = saver_lib.Saver()
105 saver.save(sess, os.path.join(chkpt_dir, 'chkpt'))
213 saver = saver_lib.Saver()
216 saver.save(sess, os.path.join(chkpt_dir, 'chkpt'))
250 saver = saver_lib.Saver(write_version=saver_pb2.SaverDef.V1)
253 saver.save(sess, checkpoint_path
[all...] |
| /external/tensorflow/tensorflow/python/saved_model/ |
| loader_test.py | 38 from tensorflow.python.training import saver as tf_saver
138 saver, _ = loader.load_graph(
141 # The default saver should not work when the import scope is set.
143 loader.restore_variables(sess, tf_saver.Saver())
145 loader.restore_variables(sess, saver)
175 # There are variables to restore, so a saver must be created.
179 loader.restore_variables(sess, tf_saver.Saver())
187 saver, _ = loader.load_graph(graph, ["foo_graph"])
189 loader.restore_variables(sess, saver)
217 """Test that SavedModel runs saver when there appear to be no variables
[all...] |
| /external/tensorflow/tensorflow/python/tools/ |
| freeze_graph_test.py | 46 from tensorflow.python.training import saver as saver_lib
68 saver = saver_lib.Saver(write_version=saver_write_version)
69 checkpoint_path = saver.save(
183 saver = saver_lib.Saver()
184 checkpoint_path = saver.save(
299 saver = saver_lib.Saver()
300 checkpoint_path = saver.save
[all...] |
| freeze_graph.py | 59 from tensorflow.python.training import saver as saver_lib
98 priority. Typically the result of `Saver.save()` or that of
125 # 'input_checkpoint' may be a prefix if we're using Saver V2 format
149 saver = saver_lib.Saver(
151 saver.restore(sess, input_checkpoint)
189 saver = saver_lib.Saver(
194 # handled by Saver.
208 saver.restore(sess, input_checkpoint
[all...] |
| /external/tensorflow/tensorflow/contrib/distribute/python/ |
| checkpoint_utils_test.py | 37 from tensorflow.python.training import saver as saver_lib
47 saver = saver_lib.Saver()
48 saver.save(
|
| values_test.py | 38 from tensorflow.python.training import saver as saver_lib
383 saver = saver_lib.Saver(var_list=[var])
386 return saver.save(sess, prefix), saver
405 save_path, saver = self._save_return_saver(sess, mirrored)
411 saver.restore(sess, save_path)
456 saver = saver_lib.Saver(var_list=[var])
457 saver.restore(sess, save_path
[all...] |
| /external/tensorflow/tensorflow/contrib/model_pruning/examples/cifar10/ |
| cifar10_eval.py | 50 def eval_once(saver, summary_writer, top_k_op, summary_op):
54 saver: Saver.
63 saver.restore(sess, ckpt.model_checkpoint_path)
122 saver = tf.train.Saver(variables_to_restore)
130 eval_once(saver, summary_writer, top_k_op, summary_op)
|
| /external/tensorflow/tensorflow/contrib/rnn/python/tools/ |
| checkpoint_convert.py | 54 from tensorflow.python.training import saver as saver_lib
244 saver = saver_lib.Saver(new_variable_map, write_version=write_version)
249 saver.save(sess, checkpoint_to_path)
|
| /external/tensorflow/tensorflow/contrib/session_bundle/example/ |
| export_half_plus_two.py | 62 # Setup a standard Saver for our variables.
63 save = tf.train.Saver(
|
| /external/tensorflow/tensorflow/python/data/experimental/kernel_tests/serialization/ |
| serialization_integration_test.py | 26 from tensorflow.python.training import saver as saver_lib
48 saver = saver_lib.Saver()
49 return init_ops, get_next_ops, saver
60 init_ops, get_next_ops, saver = self._build_graph(num_pipelines,
68 saver.save(sess, self._ckpt_path())
71 init_ops, get_next_ops, saver = self._build_graph(num_pipelines,
74 saver.restore(sess, self._ckpt_path())
|
| shuffle_dataset_serialization_test.py | 25 from tensorflow.python.training import saver as saver_lib
138 saver = saver_lib.Saver(allow_empty=True)
140 self._save(sess, saver)
142 self._restore(saver, sess)
|
| /external/tensorflow/tensorflow/python/data/experimental/ops/ |
| iterator_ops.py | 25 from tensorflow.python.training import saver as saver_lib
32 """Returns a SaveableObject for saving/restore iterator state using Saver.
46 # it can be automatically saved using Saver.
48 saver = tf.train.Saver()
53 saver.save()
140 ValueError: At most one of saver or scaffold should be set.
172 # automatically managed by the `Saver` to keep track of recent checkpoints.
173 # The default name used by the `Saver` for this file is "checkpoint". Here
181 # Build a Saver that saves all iterators in the `GLOBAL_ITERATORS
[all...] |
| /external/tensorflow/tensorflow/python/training/ |
| quantize_training_test.py | 32 from tensorflow.python.training import saver as saver_module
69 saver = saver_module.Saver({'b': b})
84 saver.save(sess, save_path)
91 saver.restore(sess, save_path)
|
| saver.py | 583 """Returns the saver from SAVERS collection, or creates a default one.
589 `Saver`.
603 saver = Saver(sharded=True, allow_empty=True)
604 if saver is not None:
605 ops.add_to_collection(collection_key, saver)
606 return saver
609 @tf_export(v1=["train.Saver"])
610 class Saver(object):
616 The `Saver` class adds ops to save and restore variables to and fro
[all...] |
| /external/tensorflow/tensorflow/python/training/saving/ |
| functional_saver.py | 32 class Saver(object):
50 "Saver expected a list of SaveableObjects, got %s." % (saveable,))
|
| /external/tensorflow/tensorflow/compiler/aot/tests/ |
| make_test_graphs.py | 37 from tensorflow.python.training import saver as saver_lib
54 saver = saver_lib.Saver(write_version=saver_pb2.SaverDef.V1)
60 saver.save(sess, ckpt)
69 saver = saver_lib.Saver(name='abcprefix', write_version=saver_pb2.SaverDef.V1)
75 saver.save(sess, ckpt_file)
77 saver_file = os.path.join(out_dir, 'test_graph_tfadd_with_ckpt_saver.saver')
79 f.write(saver.as_saver_def().SerializeToString())
|
| /external/tensorflow/tensorflow/contrib/training/python/training/ |
| training_test.py | 42 from tensorflow.python.training import saver as saver_lib
334 saver = saver_lib.Saver()
343 logdir, save_steps=50, saver=saver),
387 saver = saver_lib.Saver()
393 logdir1, save_steps=1, saver=saver),
404 saver = saver_lib.Saver(
[all...] |
| /external/swiftshader/third_party/llvm-7.0/llvm/include/llvm/Support/ |
| CommandLine.h | [all...] |
| /external/tensorflow/tensorflow/contrib/boosted_trees/python/kernel_tests/ |
| model_ops_test.py | 40 from tensorflow.python.training import saver
231 my_saver = saver.Saver()
294 my_saver = saver.Saver()
|
| /external/tensorflow/tensorflow/contrib/framework/python/framework/ |
| checkpoint_utils_test.py | 32 from tensorflow.python.training import saver as saver_lib
45 saver = saver_lib.Saver()
46 saver.save(
66 saver = saver_lib.Saver()
67 saver.save(
|
