144 lines
7.5 KiB
Python
144 lines
7.5 KiB
Python
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# Copyright 2015 The TensorFlow Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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# ==============================================================================
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"""Support for training models.
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See the @{$python/train} guide.
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"""
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# Optimizers.
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from __future__ import absolute_import
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from __future__ import division
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from __future__ import print_function
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# pylint: disable=g-bad-import-order,unused-import
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from tensorflow.python.ops.sdca_ops import sdca_optimizer
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from tensorflow.python.ops.sdca_ops import sdca_fprint
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from tensorflow.python.ops.sdca_ops import sdca_shrink_l1
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from tensorflow.python.training.adadelta import AdadeltaOptimizer
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from tensorflow.python.training.adagrad import AdagradOptimizer
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from tensorflow.python.training.adagrad_da import AdagradDAOptimizer
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from tensorflow.python.training.proximal_adagrad import ProximalAdagradOptimizer
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from tensorflow.python.training.adam import AdamOptimizer
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from tensorflow.python.training.ftrl import FtrlOptimizer
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from tensorflow.python.training.momentum import MomentumOptimizer
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from tensorflow.python.training.moving_averages import ExponentialMovingAverage
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from tensorflow.python.training.optimizer import Optimizer
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from tensorflow.python.training.rmsprop import RMSPropOptimizer
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from tensorflow.python.training.gradient_descent import GradientDescentOptimizer
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from tensorflow.python.training.proximal_gradient_descent import ProximalGradientDescentOptimizer
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from tensorflow.python.training.sync_replicas_optimizer import SyncReplicasOptimizer
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# Utility classes for training.
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from tensorflow.python.training.coordinator import Coordinator
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from tensorflow.python.training.coordinator import LooperThread
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# go/tf-wildcard-import
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# pylint: disable=wildcard-import
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from tensorflow.python.training.queue_runner import *
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# For the module level doc.
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from tensorflow.python.training import input as _input
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from tensorflow.python.training.input import * # pylint: disable=redefined-builtin
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# pylint: enable=wildcard-import
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from tensorflow.python.training.basic_session_run_hooks import SecondOrStepTimer
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from tensorflow.python.training.basic_session_run_hooks import LoggingTensorHook
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from tensorflow.python.training.basic_session_run_hooks import StopAtStepHook
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from tensorflow.python.training.basic_session_run_hooks import CheckpointSaverHook
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from tensorflow.python.training.basic_session_run_hooks import CheckpointSaverListener
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from tensorflow.python.training.basic_session_run_hooks import StepCounterHook
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from tensorflow.python.training.basic_session_run_hooks import NanLossDuringTrainingError
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from tensorflow.python.training.basic_session_run_hooks import NanTensorHook
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from tensorflow.python.training.basic_session_run_hooks import SummarySaverHook
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from tensorflow.python.training.basic_session_run_hooks import GlobalStepWaiterHook
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from tensorflow.python.training.basic_session_run_hooks import FinalOpsHook
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from tensorflow.python.training.basic_session_run_hooks import FeedFnHook
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from tensorflow.python.training.basic_session_run_hooks import ProfilerHook
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from tensorflow.python.training.basic_loops import basic_train_loop
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from tensorflow.python.training.checkpointable.util import Checkpoint
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from tensorflow.python.training.checkpoint_utils import init_from_checkpoint
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from tensorflow.python.training.checkpoint_utils import list_variables
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from tensorflow.python.training.checkpoint_utils import load_checkpoint
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from tensorflow.python.training.checkpoint_utils import load_variable
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from tensorflow.python.training.device_setter import replica_device_setter
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from tensorflow.python.training.monitored_session import Scaffold
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from tensorflow.python.training.monitored_session import MonitoredTrainingSession
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from tensorflow.python.training.monitored_session import SessionCreator
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from tensorflow.python.training.monitored_session import ChiefSessionCreator
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from tensorflow.python.training.monitored_session import WorkerSessionCreator
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from tensorflow.python.training.monitored_session import MonitoredSession
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from tensorflow.python.training.monitored_session import SingularMonitoredSession
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from tensorflow.python.training.saver import Saver
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from tensorflow.python.training.saver import checkpoint_exists
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from tensorflow.python.training.saver import generate_checkpoint_state_proto
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from tensorflow.python.training.saver import get_checkpoint_mtimes
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from tensorflow.python.training.saver import get_checkpoint_state
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from tensorflow.python.training.saver import latest_checkpoint
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from tensorflow.python.training.saver import update_checkpoint_state
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from tensorflow.python.training.saver import export_meta_graph
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from tensorflow.python.training.saver import import_meta_graph
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from tensorflow.python.training.session_run_hook import SessionRunHook
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from tensorflow.python.training.session_run_hook import SessionRunArgs
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from tensorflow.python.training.session_run_hook import SessionRunContext
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from tensorflow.python.training.session_run_hook import SessionRunValues
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from tensorflow.python.training.session_manager import SessionManager
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from tensorflow.python.training.summary_io import summary_iterator
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from tensorflow.python.training.supervisor import Supervisor
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from tensorflow.python.training.training_util import write_graph
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from tensorflow.python.training.training_util import global_step
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from tensorflow.python.training.training_util import get_global_step
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from tensorflow.python.training.training_util import assert_global_step
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from tensorflow.python.training.training_util import create_global_step
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from tensorflow.python.training.training_util import get_or_create_global_step
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from tensorflow.python.training.warm_starting_util import VocabInfo
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from tensorflow.python.training.warm_starting_util import warm_start
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from tensorflow.python.pywrap_tensorflow import do_quantize_training_on_graphdef
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from tensorflow.python.pywrap_tensorflow import NewCheckpointReader
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from tensorflow.python.util.tf_export import tf_export
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# pylint: disable=wildcard-import
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# Training data protos.
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from tensorflow.core.example.example_pb2 import *
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from tensorflow.core.example.feature_pb2 import *
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from tensorflow.core.protobuf.saver_pb2 import *
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# Utility op. Open Source. TODO(touts): move to nn?
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from tensorflow.python.training.learning_rate_decay import *
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# pylint: enable=wildcard-import
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# Distributed computing support.
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from tensorflow.core.protobuf.cluster_pb2 import ClusterDef
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from tensorflow.core.protobuf.cluster_pb2 import JobDef
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from tensorflow.core.protobuf.tensorflow_server_pb2 import ServerDef
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from tensorflow.python.training.server_lib import ClusterSpec
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from tensorflow.python.training.server_lib import Server
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# pylint: disable=undefined-variable
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tf_export("train.BytesList")(BytesList)
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tf_export("train.ClusterDef")(ClusterDef)
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tf_export("train.Example")(Example)
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tf_export("train.Feature")(Feature)
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tf_export("train.Features")(Features)
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tf_export("train.FeatureList")(FeatureList)
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tf_export("train.FeatureLists")(FeatureLists)
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tf_export("train.FloatList")(FloatList)
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tf_export("train.Int64List")(Int64List)
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tf_export("train.JobDef")(JobDef)
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tf_export("train.SaverDef")(SaverDef)
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tf_export("train.SequenceExample")(SequenceExample)
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tf_export("train.ServerDef")(ServerDef)
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# pylint: enable=undefined-variable
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