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tf.data.experimental.service.DispatcherConfig Configuration class for tf.data service dispatchers. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.data.experimental.service.DispatcherConfig
tf.data.experimental.service.DispatcherConfig(
port=0, protocol='grpc', work... | tensorflow.data.experimental.service.dispatcherconfig |
tf.data.experimental.service.DispatchServer An in-process tf.data service dispatch server.
tf.data.experimental.service.DispatchServer(
config=None, start=True
)
A tf.data.experimental.service.DispatchServer coordinates a cluster of tf.data.experimental.service.WorkerServers. When the workers start, they register... | tensorflow.data.experimental.service.dispatchserver |
tf.data.experimental.service.distribute A transformation that moves dataset processing to the tf.data service. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.data.experimental.service.distribute
tf.data.experimental.service.distribute(
processing_mode, service, job... | tensorflow.data.experimental.service.distribute |
tf.data.experimental.service.from_dataset_id Creates a dataset which reads data from the tf.data service. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.data.experimental.service.from_dataset_id
tf.data.experimental.service.from_dataset_id(
processing_mode, service... | tensorflow.data.experimental.service.from_dataset_id |
tf.data.experimental.service.register_dataset Registers a dataset with the tf.data service. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.data.experimental.service.register_dataset
tf.data.experimental.service.register_dataset(
service, dataset
)
register_dataset... | tensorflow.data.experimental.service.register_dataset |
tf.data.experimental.service.WorkerConfig Configuration class for tf.data service dispatchers. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.data.experimental.service.WorkerConfig
tf.data.experimental.service.WorkerConfig(
dispatcher_address, worker_address=None, ... | tensorflow.data.experimental.service.workerconfig |
tf.data.experimental.service.WorkerServer An in-process tf.data service worker server.
tf.data.experimental.service.WorkerServer(
config, start=True
)
A tf.data.experimental.service.WorkerServer performs tf.data.Dataset processing for user-defined datasets, and provides the resulting elements over RPC. A worker i... | tensorflow.data.experimental.service.workerserver |
tf.data.experimental.shuffle_and_repeat View source on GitHub Shuffles and repeats a Dataset, reshuffling with each repetition. (deprecated) View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.data.experimental.shuffle_and_repeat
tf.data.experimental.shuffle_and_repe... | tensorflow.data.experimental.shuffle_and_repeat |
tf.data.experimental.snapshot API to persist the output of the input dataset. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.data.experimental.snapshot
tf.data.experimental.snapshot(
path, compression='AUTO', reader_func=None, shard_func=None
)
The snapshot API al... | tensorflow.data.experimental.snapshot |
tf.data.experimental.SqlDataset View source on GitHub A Dataset consisting of the results from a SQL query. Inherits From: Dataset
tf.data.experimental.SqlDataset(
driver_name, data_source_name, query, output_types
)
Args
driver_name A 0-D tf.string tensor containing the database type. Currently, ... | tensorflow.data.experimental.sqldataset |
tf.data.experimental.StatsAggregator View source on GitHub A stateful resource that aggregates statistics from one or more iterators.
tf.data.experimental.StatsAggregator()
To record statistics, use one of the custom transformation functions defined in this module when defining your tf.data.Dataset. All statis... | tensorflow.data.experimental.statsaggregator |
tf.data.experimental.StatsOptions View source on GitHub Represents options for collecting dataset stats using StatsAggregator. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.data.experimental.StatsOptions
tf.data.experimental.StatsOptions()
You can set the stat... | tensorflow.data.experimental.statsoptions |
tf.data.experimental.take_while View source on GitHub A transformation that stops dataset iteration based on a predicate. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.data.experimental.take_while
tf.data.experimental.take_while(
predicate
)
Args
pr... | tensorflow.data.experimental.take_while |
tf.data.experimental.TFRecordWriter View source on GitHub Writes a dataset to a TFRecord file. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.data.experimental.TFRecordWriter
tf.data.experimental.TFRecordWriter(
filename, compression_type=None
)
The element... | tensorflow.data.experimental.tfrecordwriter |
tf.data.experimental.ThreadingOptions View source on GitHub Represents options for dataset threading. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.data.experimental.ThreadingOptions
tf.data.experimental.ThreadingOptions()
You can set the threading options of ... | tensorflow.data.experimental.threadingoptions |
tf.data.experimental.to_variant View source on GitHub Returns a variant representing the given dataset. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.data.experimental.to_variant
tf.data.experimental.to_variant(
dataset
)
Args
dataset A tf.data.Da... | tensorflow.data.experimental.to_variant |
tf.data.experimental.unbatch View source on GitHub Splits elements of a dataset into multiple elements on the batch dimension. (deprecated) View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.data.experimental.unbatch
tf.data.experimental.unbatch()
Warning: THIS FUN... | tensorflow.data.experimental.unbatch |
tf.data.experimental.unique View source on GitHub Creates a Dataset from another Dataset, discarding duplicates. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.data.experimental.unique
tf.data.experimental.unique()
Use this transformation to produce a dataset t... | tensorflow.data.experimental.unique |
tf.data.FixedLengthRecordDataset View source on GitHub A Dataset of fixed-length records from one or more binary files. Inherits From: Dataset
tf.data.FixedLengthRecordDataset(
filenames, record_bytes, header_bytes=None, footer_bytes=None, buffer_size=None,
compression_type=None, num_parallel_reads=None... | tensorflow.data.fixedlengthrecorddataset |
tf.data.Iterator View source on GitHub Represents an iterator of a tf.data.Dataset. tf.data.Iterator is the primary mechanism for enumerating elements of a tf.data.Dataset. It supports the Python Iterator protocol, which means it can be iterated over using a for-loop:
dataset = tf.data.Dataset.range(2)
for elem... | tensorflow.data.iterator |
tf.data.IteratorSpec Type specification for tf.data.Iterator. Inherits From: TypeSpec
tf.data.IteratorSpec(
element_spec
)
For instance, tf.data.IteratorSpec can be used to define a tf.function that takes tf.data.Iterator as an input argument:
@tf.function(input_signature=[tf.data.IteratorSpec(
tf.TensorSpec(s... | tensorflow.data.iteratorspec |
tf.data.Options View source on GitHub Represents options for tf.data.Dataset. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.data.Options
tf.data.Options()
A tf.data.Options object can be, for instance, used to control which static optimizations to apply to the... | tensorflow.data.options |
tf.data.TextLineDataset View source on GitHub A Dataset comprising lines from one or more text files. Inherits From: Dataset
tf.data.TextLineDataset(
filenames, compression_type=None, buffer_size=None, num_parallel_reads=None
)
Args
filenames A tf.string tensor or tf.data.Dataset containing one or... | tensorflow.data.textlinedataset |
tf.data.TFRecordDataset View source on GitHub A Dataset comprising records from one or more TFRecord files. Inherits From: Dataset
tf.data.TFRecordDataset(
filenames, compression_type=None, buffer_size=None, num_parallel_reads=None
)
Args
filenames A tf.string tensor or tf.data.Dataset containing ... | tensorflow.data.tfrecorddataset |
Module: tf.debugging Public API for tf.debugging namespace. Modules experimental module: Public API for tf.debugging.experimental namespace. Functions Assert(...): Asserts that the given condition is true. assert_all_finite(...): Assert that the tensor does not contain any NaN's or Inf's. assert_equal(...): Assert the ... | tensorflow.debugging |
tf.debugging.Assert View source on GitHub Asserts that the given condition is true. View aliases Main aliases
tf.Assert Compat aliases for migration See Migration guide for more details. tf.compat.v1.Assert, tf.compat.v1.debugging.Assert
tf.debugging.Assert(
condition, data, summarize=None, name=None
)
... | tensorflow.debugging.assert |
tf.debugging.assert_all_finite View source on GitHub Assert that the tensor does not contain any NaN's or Inf's.
tf.debugging.assert_all_finite(
x, message, name=None
)
Args
x Tensor to check.
message Message to log on failure.
name A name for this operation (optional).
Returns... | tensorflow.debugging.assert_all_finite |
tf.debugging.assert_equal View source on GitHub Assert the condition x == y holds element-wise. View aliases Main aliases
tf.assert_equal
tf.debugging.assert_equal(
x, y, message=None, summarize=None, name=None
)
This Op checks that x[i] == y[i] holds for every pair of (possibly broadcast) elements of ... | tensorflow.debugging.assert_equal |
tf.debugging.assert_greater View source on GitHub Assert the condition x > y holds element-wise. View aliases Main aliases
tf.assert_greater
tf.debugging.assert_greater(
x, y, message=None, summarize=None, name=None
)
This Op checks that x[i] > y[i] holds for every pair of (possibly broadcast) elements... | tensorflow.debugging.assert_greater |
tf.debugging.assert_greater_equal View source on GitHub Assert the condition x >= y holds element-wise.
tf.debugging.assert_greater_equal(
x, y, message=None, summarize=None, name=None
)
This Op checks that x[i] >= y[i] holds for every pair of (possibly broadcast) elements of x and y. If both x and y are e... | tensorflow.debugging.assert_greater_equal |
tf.debugging.assert_integer View source on GitHub Assert that x is of integer dtype.
tf.debugging.assert_integer(
x, message=None, name=None
)
If x has a non-integer type, message, as well as the dtype of x are printed, and InvalidArgumentError is raised. This can always be checked statically, so this meth... | tensorflow.debugging.assert_integer |
tf.debugging.assert_less View source on GitHub Assert the condition x < y holds element-wise. View aliases Main aliases
tf.assert_less
tf.debugging.assert_less(
x, y, message=None, summarize=None, name=None
)
This Op checks that x[i] < y[i] holds for every pair of (possibly broadcast) elements of x and... | tensorflow.debugging.assert_less |
tf.debugging.assert_less_equal View source on GitHub Assert the condition x <= y holds element-wise.
tf.debugging.assert_less_equal(
x, y, message=None, summarize=None, name=None
)
This Op checks that x[i] <= y[i] holds for every pair of (possibly broadcast) elements of x and y. If both x and y are empty, ... | tensorflow.debugging.assert_less_equal |
tf.debugging.assert_near View source on GitHub Assert the condition x and y are close element-wise.
tf.debugging.assert_near(
x, y, rtol=None, atol=None, message=None, summarize=None, name=None
)
This Op checks that x[i] - y[i] < atol + rtol * tf.abs(y[i]) holds for every pair of (possibly broadcast) eleme... | tensorflow.debugging.assert_near |
tf.debugging.assert_negative View source on GitHub Assert the condition x < 0 holds element-wise.
tf.debugging.assert_negative(
x, message=None, summarize=None, name=None
)
This Op checks that x[i] < 0 holds for every element of x. If x is empty, this is trivially satisfied. If x is not negative everywhere... | tensorflow.debugging.assert_negative |
tf.debugging.assert_none_equal View source on GitHub Assert the condition x != y holds for all elements.
tf.debugging.assert_none_equal(
x, y, summarize=None, message=None, name=None
)
This Op checks that x[i] != y[i] holds for every pair of (possibly broadcast) elements of x and y. If both x and y are emp... | tensorflow.debugging.assert_none_equal |
tf.debugging.assert_non_negative View source on GitHub Assert the condition x >= 0 holds element-wise.
tf.debugging.assert_non_negative(
x, message=None, summarize=None, name=None
)
This Op checks that x[i] >= 0 holds for every element of x. If x is empty, this is trivially satisfied. If x is not >= 0 ever... | tensorflow.debugging.assert_non_negative |
tf.debugging.assert_non_positive View source on GitHub Assert the condition x <= 0 holds element-wise.
tf.debugging.assert_non_positive(
x, message=None, summarize=None, name=None
)
This Op checks that x[i] <= 0 holds for every element of x. If x is empty, this is trivially satisfied. If x is not <= 0 ever... | tensorflow.debugging.assert_non_positive |
tf.debugging.assert_positive View source on GitHub Assert the condition x > 0 holds element-wise.
tf.debugging.assert_positive(
x, message=None, summarize=None, name=None
)
This Op checks that x[i] > 0 holds for every element of x. If x is empty, this is trivially satisfied. If x is not positive everywhere... | tensorflow.debugging.assert_positive |
tf.debugging.assert_proper_iterable View source on GitHub Static assert that values is a "proper" iterable. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.assert_proper_iterable, tf.compat.v1.debugging.assert_proper_iterable
tf.debugging.assert_proper_iterable(
... | tensorflow.debugging.assert_proper_iterable |
tf.debugging.assert_rank View source on GitHub Assert that x has rank equal to rank. View aliases Main aliases
tf.assert_rank
tf.debugging.assert_rank(
x, rank, message=None, name=None
)
This Op checks that the rank of x is equal to rank. If x has a different rank, message, as well as the shape of x ar... | tensorflow.debugging.assert_rank |
tf.debugging.assert_rank_at_least View source on GitHub Assert that x has rank of at least rank.
tf.debugging.assert_rank_at_least(
x, rank, message=None, name=None
)
This Op checks that the rank of x is greater or equal to rank. If x has a rank lower than rank, message, as well as the shape of x are print... | tensorflow.debugging.assert_rank_at_least |
tf.debugging.assert_rank_in View source on GitHub Assert that x has a rank in ranks.
tf.debugging.assert_rank_in(
x, ranks, message=None, name=None
)
This Op checks that the rank of x is in ranks. If x has a different rank, message, as well as the shape of x are printed, and InvalidArgumentError is raised.... | tensorflow.debugging.assert_rank_in |
tf.debugging.assert_same_float_dtype View source on GitHub Validate and return float type based on tensors and dtype. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.assert_same_float_dtype, tf.compat.v1.debugging.assert_same_float_dtype
tf.debugging.assert_same_... | tensorflow.debugging.assert_same_float_dtype |
tf.debugging.assert_scalar View source on GitHub Asserts that the given tensor is a scalar.
tf.debugging.assert_scalar(
tensor, message=None, name=None
)
This function raises ValueError unless it can be certain that the given tensor is a scalar. ValueError is also raised if the shape of tensor is unknown. ... | tensorflow.debugging.assert_scalar |
tf.debugging.assert_shapes View source on GitHub Assert tensor shapes and dimension size relationships between tensors.
tf.debugging.assert_shapes(
shapes, data=None, summarize=None, message=None, name=None
)
This Op checks that a collection of tensors shape relationships satisfies given constraints. Examp... | tensorflow.debugging.assert_shapes |
tf.debugging.assert_type View source on GitHub Asserts that the given Tensor is of the specified type.
tf.debugging.assert_type(
tensor, tf_type, message=None, name=None
)
This can always be checked statically, so this method returns nothing.
Args
tensor A Tensor or SparseTensor.
tf_type A t... | tensorflow.debugging.assert_type |
tf.debugging.check_numerics Checks a tensor for NaN and Inf values. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.check_numerics, tf.compat.v1.debugging.check_numerics
tf.debugging.check_numerics(
tensor, message, name=None
)
When run, reports an InvalidArgument ... | tensorflow.debugging.check_numerics |
tf.debugging.disable_check_numerics Disable the eager/graph unified numerics checking mechanism. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.debugging.disable_check_numerics
tf.debugging.disable_check_numerics()
This method can be used after a call to tf.debugging.... | tensorflow.debugging.disable_check_numerics |
tf.debugging.enable_check_numerics Enable tensor numerics checking in an eager/graph unified fashion. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.debugging.enable_check_numerics
tf.debugging.enable_check_numerics(
stack_height_limit=30, path_length_limit=50
)
T... | tensorflow.debugging.enable_check_numerics |
Module: tf.debugging.experimental Public API for tf.debugging.experimental namespace. Functions disable_dump_debug_info(...): Disable the currently-enabled debugging dumping. enable_dump_debug_info(...): Enable dumping debugging information from a TensorFlow program. | tensorflow.debugging.experimental |
tf.debugging.experimental.disable_dump_debug_info Disable the currently-enabled debugging dumping. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.debugging.experimental.disable_dump_debug_info
tf.debugging.experimental.disable_dump_debug_info()
If the enable_dump_debu... | tensorflow.debugging.experimental.disable_dump_debug_info |
tf.debugging.experimental.enable_dump_debug_info Enable dumping debugging information from a TensorFlow program. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.debugging.experimental.enable_dump_debug_info
tf.debugging.experimental.enable_dump_debug_info(
dump_ro... | tensorflow.debugging.experimental.enable_dump_debug_info |
tf.debugging.get_log_device_placement View source on GitHub Get if device placements are logged. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.debugging.get_log_device_placement
tf.debugging.get_log_device_placement()
Returns If device placements are lo... | tensorflow.debugging.get_log_device_placement |
tf.debugging.is_numeric_tensor View source on GitHub Returns True if the elements of tensor are numbers. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.debugging.is_numeric_tensor, tf.compat.v1.is_numeric_tensor
tf.debugging.is_numeric_tensor(
tensor
)
Spec... | tensorflow.debugging.is_numeric_tensor |
tf.debugging.set_log_device_placement View source on GitHub Set if device placements should be logged. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.debugging.set_log_device_placement
tf.debugging.set_log_device_placement(
enabled
)
Args
enabled W... | tensorflow.debugging.set_log_device_placement |
tf.device View source on GitHub Specifies the device for ops created/executed in this context.
tf.device(
device_name
)
This function specifies the device to be used for ops created/executed in a particular context. Nested contexts will inherit and also create/execute their ops on the specified device. If ... | tensorflow.device |
tf.DeviceSpec View source on GitHub Represents a (possibly partial) specification for a TensorFlow device.
tf.DeviceSpec(
job=None, replica=None, task=None, device_type=None, device_index=None
)
DeviceSpecs are used throughout TensorFlow to describe where state is stored and computations occur. Using Devic... | tensorflow.devicespec |
Module: tf.distribute Library for running a computation across multiple devices. The intent of this library is that you can write an algorithm in a stylized way and it will be usable with a variety of different tf.distribute.Strategy implementations. Each descendant will implement a different strategy for distributing ... | tensorflow.distribute |
Module: tf.distribute.cluster_resolver Library imports for ClusterResolvers. This library contains all implementations of ClusterResolvers. ClusterResolvers are a way of specifying cluster information for distributed execution. Built on top of existing ClusterSpec framework, ClusterResolvers are a way for TensorFlow to... | tensorflow.distribute.cluster_resolver |
tf.distribute.cluster_resolver.ClusterResolver View source on GitHub Abstract class for all implementations of ClusterResolvers. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.distribute.cluster_resolver.ClusterResolver This defines the skeleton for all implement... | tensorflow.distribute.cluster_resolver.clusterresolver |
tf.distribute.cluster_resolver.GCEClusterResolver View source on GitHub ClusterResolver for Google Compute Engine. Inherits From: ClusterResolver View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.distribute.cluster_resolver.GCEClusterResolver
tf.distribute.cluster_... | tensorflow.distribute.cluster_resolver.gceclusterresolver |
tf.distribute.cluster_resolver.KubernetesClusterResolver View source on GitHub ClusterResolver for Kubernetes. Inherits From: ClusterResolver View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.distribute.cluster_resolver.KubernetesClusterResolver
tf.distribute.clust... | tensorflow.distribute.cluster_resolver.kubernetesclusterresolver |
tf.distribute.cluster_resolver.SimpleClusterResolver View source on GitHub Simple implementation of ClusterResolver that accepts all attributes. Inherits From: ClusterResolver View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.distribute.cluster_resolver.SimpleCluster... | tensorflow.distribute.cluster_resolver.simpleclusterresolver |
tf.distribute.cluster_resolver.SlurmClusterResolver View source on GitHub ClusterResolver for system with Slurm workload manager. Inherits From: ClusterResolver View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.distribute.cluster_resolver.SlurmClusterResolver
tf.di... | tensorflow.distribute.cluster_resolver.slurmclusterresolver |
tf.distribute.cluster_resolver.TFConfigClusterResolver View source on GitHub Implementation of a ClusterResolver which reads the TF_CONFIG EnvVar. Inherits From: ClusterResolver View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.distribute.cluster_resolver.TFConfigClu... | tensorflow.distribute.cluster_resolver.tfconfigclusterresolver |
tf.distribute.cluster_resolver.TPUClusterResolver View source on GitHub Cluster Resolver for Google Cloud TPUs. Inherits From: ClusterResolver View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.distribute.cluster_resolver.TPUClusterResolver
tf.distribute.cluster_res... | tensorflow.distribute.cluster_resolver.tpuclusterresolver |
tf.distribute.cluster_resolver.UnionResolver View source on GitHub Performs a union on underlying ClusterResolvers. Inherits From: ClusterResolver View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.distribute.cluster_resolver.UnionResolver
tf.distribute.cluster_reso... | tensorflow.distribute.cluster_resolver.unionresolver |
tf.distribute.CrossDeviceOps View source on GitHub Base class for cross-device reduction and broadcasting algorithms. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.distribute.CrossDeviceOps
tf.distribute.CrossDeviceOps()
The main purpose of this class is to be... | tensorflow.distribute.crossdeviceops |
tf.distribute.DistributedDataset Represents a dataset distributed among devices and machines. A tf.distribute.DistributedDataset could be thought of as a "distributed" dataset. When you use tf.distribute API to scale training to multiple devices or machines, you also need to distribute the input data, which leads to a ... | tensorflow.distribute.distributeddataset |
tf.distribute.DistributedIterator An iterator over tf.distribute.DistributedDataset. tf.distribute.DistributedIterator is the primary mechanism for enumerating elements of a tf.distribute.DistributedDataset. It supports the Python Iterator protocol, which means it can be iterated over using a for-loop or by fetching in... | tensorflow.distribute.distributediterator |
tf.distribute.DistributedValues Base class for representing distributed values.
tf.distribute.DistributedValues(
values
)
A subclass instance of tf.distribute.DistributedValues is created when creating variables within a distribution strategy, iterating a tf.distribute.DistributedDataset or through tf.distribute.... | tensorflow.distribute.distributedvalues |
Module: tf.distribute.experimental Public API for tf.distribute.experimental namespace. Modules coordinator module: Public API for tf.distribute.experimental.coordinator namespace. partitioners module: Public API for tf.distribute.experimental.partitioners namespace. Classes class CentralStorageStrategy: A one-machine ... | tensorflow.distribute.experimental |
tf.distribute.experimental.CentralStorageStrategy View source on GitHub A one-machine strategy that puts all variables on a single device. Inherits From: Strategy
tf.distribute.experimental.CentralStorageStrategy(
compute_devices=None, parameter_device=None
)
Variables are assigned to local CPU or the only... | tensorflow.distribute.experimental.centralstoragestrategy |
tf.distribute.experimental.CollectiveHints Hints for collective operations like AllReduce. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.distribute.experimental.CollectiveHints
tf.distribute.experimental.CollectiveHints(
bytes_per_pack=0, timeout_seconds=None
)
T... | tensorflow.distribute.experimental.collectivehints |
tf.distribute.experimental.CommunicationImplementation Cross device communication implementation. View aliases Main aliases
tf.distribute.experimental.CollectiveCommunication Compat aliases for migration See Migration guide for more details. tf.compat.v1.distribute.experimental.CollectiveCommunication, tf.compat.v1.... | tensorflow.distribute.experimental.communicationimplementation |
tf.distribute.experimental.CommunicationOptions Options for cross device communications like All-reduce. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.distribute.experimental.CommunicationOptions
tf.distribute.experimental.CommunicationOptions(
bytes_per_pack=0, t... | tensorflow.distribute.experimental.communicationoptions |
Module: tf.distribute.experimental.coordinator Public API for tf.distribute.experimental.coordinator namespace. Classes class ClusterCoordinator: An object to schedule and coordinate remote function execution. class PerWorkerValues: A container that holds a list of values, one value per worker. class RemoteValue: An as... | tensorflow.distribute.experimental.coordinator |
tf.distribute.experimental.coordinator.ClusterCoordinator An object to schedule and coordinate remote function execution.
tf.distribute.experimental.coordinator.ClusterCoordinator(
strategy
)
This class is used to create fault-tolerant resources and dispatch functions to remote TensorFlow servers. Currently, this... | tensorflow.distribute.experimental.coordinator.clustercoordinator |
tf.distribute.experimental.coordinator.PerWorkerValues A container that holds a list of values, one value per worker.
tf.distribute.experimental.coordinator.PerWorkerValues(
values
)
tf.distribute.experimental.coordinator.PerWorkerValues contains a collection of values, where each of the value is located one work... | tensorflow.distribute.experimental.coordinator.perworkervalues |
tf.distribute.experimental.coordinator.RemoteValue An asynchronously available value of a scheduled function. This class is used as the return value of tf.distribute.experimental.coordinator.ClusterCoordinator.schedule where the underlying value becomes available at a later time once the function has been executed. Usi... | tensorflow.distribute.experimental.coordinator.remotevalue |
tf.distribute.experimental.MultiWorkerMirroredStrategy View source on GitHub A distribution strategy for synchronous training on multiple workers. Inherits From: MultiWorkerMirroredStrategy, Strategy
tf.distribute.experimental.MultiWorkerMirroredStrategy(
communication=tf.distribute.experimental.CollectiveC... | tensorflow.distribute.experimental.multiworkermirroredstrategy |
tf.distribute.experimental.ParameterServerStrategy View source on GitHub An multi-worker tf.distribute strategy with parameter servers. Inherits From: Strategy
tf.distribute.experimental.ParameterServerStrategy(
cluster_resolver, variable_partitioner=None
)
Parameter server training is a common data-parall... | tensorflow.distribute.experimental.parameterserverstrategy |
Module: tf.distribute.experimental.partitioners Public API for tf.distribute.experimental.partitioners namespace. Classes class FixedShardsPartitioner: Partitioner that allocates a fixed number of shards. class MaxSizePartitioner: Partitioner that keeps shards below max_shard_bytes. class MinSizePartitioner: Partitione... | tensorflow.distribute.experimental.partitioners |
tf.distribute.experimental.partitioners.FixedShardsPartitioner Partitioner that allocates a fixed number of shards. Inherits From: Partitioner
tf.distribute.experimental.partitioners.FixedShardsPartitioner(
num_shards
)
Examples:
# standalone usage:
partitioner = FixedShardsPartitioner(num_shards=2)
partitions =... | tensorflow.distribute.experimental.partitioners.fixedshardspartitioner |
tf.distribute.experimental.partitioners.MaxSizePartitioner Partitioner that keeps shards below max_shard_bytes. Inherits From: Partitioner
tf.distribute.experimental.partitioners.MaxSizePartitioner(
max_shard_bytes, max_shards=None, bytes_per_string=16
)
This partitioner ensures each shard has at most max_shard_b... | tensorflow.distribute.experimental.partitioners.maxsizepartitioner |
tf.distribute.experimental.partitioners.MinSizePartitioner Partitioner that allocates a minimum size per shard. Inherits From: Partitioner
tf.distribute.experimental.partitioners.MinSizePartitioner(
min_shard_bytes=(256 << 10), max_shards=1, bytes_per_string=16
)
This partitioner ensures each shard has at least m... | tensorflow.distribute.experimental.partitioners.minsizepartitioner |
tf.distribute.experimental.partitioners.Partitioner Partitioner base class: all partitiners inherit from this class. Partitioners should implement a __call__ method with the following signature: def __call__(self, shape, dtype, axis=0):
# Partitions the given `shape` and returns the partition results.
# See docstri... | tensorflow.distribute.experimental.partitioners.partitioner |
tf.distribute.experimental.TPUStrategy View source on GitHub Synchronous training on TPUs and TPU Pods. Inherits From: Strategy
tf.distribute.experimental.TPUStrategy(
tpu_cluster_resolver=None, device_assignment=None
)
To construct a TPUStrategy object, you need to run the initialization code as below:
r... | tensorflow.distribute.experimental.tpustrategy |
tf.distribute.experimental.ValueContext A class wrapping information needed by a distribute function.
tf.distribute.experimental.ValueContext(
replica_id_in_sync_group=0, num_replicas_in_sync=1
)
This is a context class that is passed to the value_fn in strategy.experimental_distribute_values_from_function and co... | tensorflow.distribute.experimental.valuecontext |
tf.distribute.experimental_set_strategy View source on GitHub Set a tf.distribute.Strategy as current without with strategy.scope(). View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.distribute.experimental_set_strategy
tf.distribute.experimental_set_strategy(
... | tensorflow.distribute.experimental_set_strategy |
tf.distribute.get_replica_context View source on GitHub Returns the current tf.distribute.ReplicaContext or None. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.distribute.get_replica_context
tf.distribute.get_replica_context()
Returns None if in a cross-replic... | tensorflow.distribute.get_replica_context |
tf.distribute.get_strategy View source on GitHub Returns the current tf.distribute.Strategy object. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.distribute.get_strategy
tf.distribute.get_strategy()
Typically only used in a cross-replica context: if tf.distrib... | tensorflow.distribute.get_strategy |
tf.distribute.has_strategy View source on GitHub Return if there is a current non-default tf.distribute.Strategy. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.distribute.has_strategy
tf.distribute.has_strategy()
assert not tf.distribute.has_strategy()
with st... | tensorflow.distribute.has_strategy |
tf.distribute.HierarchicalCopyAllReduce View source on GitHub Hierarchical copy all-reduce implementation of CrossDeviceOps. Inherits From: CrossDeviceOps View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.distribute.HierarchicalCopyAllReduce
tf.distribute.Hierarchi... | tensorflow.distribute.hierarchicalcopyallreduce |
tf.distribute.InputContext View source on GitHub A class wrapping information needed by an input function. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.distribute.InputContext
tf.distribute.InputContext(
num_input_pipelines=1, input_pipeline_id=0, num_repl... | tensorflow.distribute.inputcontext |
tf.distribute.InputOptions Run options for experimental_distribute_dataset(s_from_function).
tf.distribute.InputOptions(
experimental_prefetch_to_device=True,
experimental_replication_mode=tf.distribute.InputReplicationMode.PER_WORKER,
experimental_place_dataset_on_device=False
)
This can be used to hold ... | tensorflow.distribute.inputoptions |
tf.distribute.InputReplicationMode View source on GitHub Replication mode for input function. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.distribute.InputReplicationMode
PER_WORKER: The input function will be called on each worker independently, creating as ... | tensorflow.distribute.inputreplicationmode |
tf.distribute.in_cross_replica_context View source on GitHub Returns True if in a cross-replica context. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.distribute.in_cross_replica_context
tf.distribute.in_cross_replica_context()
See tf.distribute.get_replica_co... | tensorflow.distribute.in_cross_replica_context |
tf.distribute.MirroredStrategy View source on GitHub Synchronous training across multiple replicas on one machine. Inherits From: Strategy
tf.distribute.MirroredStrategy(
devices=None, cross_device_ops=None
)
This strategy is typically used for training on one machine with multiple GPUs. For TPUs, use tf.d... | tensorflow.distribute.mirroredstrategy |
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