LostTech.TensorFlow : API Documentation

Type IDataset

Namespace tensorflow.data

Interfaces IDataset

Methods

Properties

Public instance methods

object batch(object batch_size, object drop_remainder)

object cache(object filename)

object filter(object predicate)

object filter_with_legacy_function(object predicate)

Filters this dataset according to `predicate`. (deprecated)

Warning: THIS FUNCTION IS DEPRECATED. It will be removed in a future version. Instructions for updating: Use `tf.data.Dataset.filter()

NOTE: This is an escape hatch for existing uses of `filter` that do not work with V2 functions. New uses are strongly discouraged and existing uses should migrate to `filter` as this method will be removed in V2.
Parameters
object predicate
A function mapping a nested structure of tensors (having shapes and types defined by `self.output_shapes` and `self.output_types`) to a scalar tf.bool tensor.
Returns
object

object flat_map(object map_func)

object interleave(object map_func, object cycle_length, object block_length, object num_parallel_calls)

object make_initializable_iterator(object shared_name)

object map(object map_func, object num_parallel_calls)

object map_with_legacy_function(object map_func, object num_parallel_calls)

Maps `map_func` across the elements of this dataset. (deprecated)

Warning: THIS FUNCTION IS DEPRECATED. It will be removed in a future version. Instructions for updating: Use `tf.data.Dataset.map()

NOTE: This is an escape hatch for existing uses of `map` that do not work with V2 functions. New uses are strongly discouraged and existing uses should migrate to `map` as this method will be removed in V2.
Parameters
object map_func
A function mapping a nested structure of tensors (having shapes and types defined by `self.output_shapes` and `self.output_types`) to another nested structure of tensors.
object num_parallel_calls
(Optional.) A tf.int32 scalar tf.Tensor, representing the number elements to process asynchronously in parallel. If not specified, elements will be processed sequentially. If the value tf.data.experimental.AUTOTUNE is used, then the number of parallel calls is set dynamically based on available CPU.
Returns
object

object padded_batch(object batch_size, object padded_shapes, object padding_values, object drop_remainder)

object shard(object num_shards, object index)

object shuffle(object buffer_size, object seed, object reshuffle_each_iteration)

object take(object count)

object window(object size, object shift, object stride, object drop_remainder)

object with_options(object options)

Public properties

object output_classes get;

object output_shapes get;

object output_types get;