tensorflow::ops::ParseSingleExample

#include <parsing_ops.h>

Transforms a tf.Example proto (as a string) into typed tensors.

Summary

Arguments:

  • scope: A Scope object
  • serialized: A vector containing a batch of binary serialized Example protos.
  • dense_defaults: A list of Tensors (some may be empty), whose length matches the length of dense_keys. dense_defaults[j] provides default values when the example's feature_map lacks dense_key[j]. If an empty Tensor is provided for dense_defaults[j], then the Feature dense_keys[j] is required. The input type is inferred from dense_defaults[j], even when it's empty. If dense_defaults[j] is not empty, and dense_shapes[j] is fully defined, then the shape of dense_defaults[j] must match that of dense_shapes[j]. If dense_shapes[j] has an undefined major dimension (variable strides dense feature), dense_defaults[j] must contain a single element: the padding element.
  • num_sparse: The number of sparse features to be parsed from the example. This must match the lengths of sparse_keys and sparse_types.
  • sparse_keys: A list of num_sparse strings. The keys expected in the Examples' features associated with sparse values.
  • dense_keys: The keys expected in the Examples' features associated with dense values.
  • sparse_types: A list of num_sparse types; the data types of data in each Feature given in sparse_keys. Currently the ParseSingleExample op supports DT_FLOAT (FloatList), DT_INT64 (Int64List), and DT_STRING (BytesList).
  • dense_shapes: The shapes of data in each Feature given in dense_keys. The length of this list must match the length of dense_keys. The number of elements in the Feature corresponding to dense_key[j] must always equal dense_shapes[j].NumEntries(). If dense_shapes[j] == (D0, D1, ..., DN) then the shape of output Tensor dense_values[j] will be (D0, D1, ..., DN): In the case dense_shapes[j] = (-1, D1, ..., DN), the shape of the output Tensor dense_values[j] will be (M, D1, .., DN), where M is the number of blocks of elements of length D1 * .... * DN, in the input.

Returns:

  • OutputList sparse_indices
  • OutputList sparse_values
  • OutputList sparse_shapes
  • OutputList dense_values

Constructors and Destructors
ParseSingleExample(const ::tensorflow::Scope & scope, ::tensorflow::Input serialized, ::tensorflow::InputList dense_defaults, int64 num_sparse, const gtl::ArraySlice< string > & sparse_keys, const gtl::ArraySlice< string > & dense_keys, const DataTypeSlice & sparse_types, const gtl::ArraySlice< PartialTensorShape > & dense_shapes)

Public attributes
dense_values
operation
sparse_indices
sparse_shapes
sparse_values

Public attributes

dense_values

::tensorflow::OutputList dense_values

operation

Operation operation

sparse_indices

::tensorflow::OutputList sparse_indices

sparse_shapes

::tensorflow::OutputList sparse_shapes

sparse_values

::tensorflow::OutputList sparse_values

Public functions

ParseSingleExample

 ParseSingleExample(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input serialized,
  ::tensorflow::InputList dense_defaults,
  int64 num_sparse,
  const gtl::ArraySlice< string > & sparse_keys,
  const gtl::ArraySlice< string > & dense_keys,
  const DataTypeSlice & sparse_types,
  const gtl::ArraySlice< PartialTensorShape > & dense_shapes
)