tensorflow::ops::ParseSequenceExample::Attrs

#include <parsing_ops.h>

Optional attribute setters for ParseSequenceExample.

Summary

Public attributes
`Ncontext_dense_ = 0`	`int64`
`Ncontext_sparse_ = 0`	`int64`
`Nfeature_list_dense_ = 0`	`int64`
`Nfeature_list_sparse_ = 0`	`int64`
`context_dense_shapes_ = {}`	`gtl::ArraySlice< PartialTensorShape >`
`context_sparse_types_ = {}`	`DataTypeSlice`
`feature_list_dense_shapes_ = {}`	`gtl::ArraySlice< PartialTensorShape >`
`feature_list_dense_types_ = {}`	`DataTypeSlice`
`feature_list_sparse_types_ = {}`	`DataTypeSlice`

Public functions
`ContextDenseShapes(const gtl::ArraySlice< PartialTensorShape > & x)`	`TF_MUST_USE_RESULT Attrs` A list of Ncontext_dense shapes; the shapes of data in each context Feature given in context_dense_keys.
`ContextSparseTypes(const DataTypeSlice & x)`	`TF_MUST_USE_RESULT Attrs` A list of Ncontext_sparse types; the data types of data in each context Feature given in context_sparse_keys.
`FeatureListDenseShapes(const gtl::ArraySlice< PartialTensorShape > & x)`	`TF_MUST_USE_RESULT Attrs` A list of Nfeature_list_dense shapes; the shapes of data in each FeatureList given in feature_list_dense_keys.
`FeatureListDenseTypes(const DataTypeSlice & x)`	`TF_MUST_USE_RESULT Attrs` Defaults to [].
`FeatureListSparseTypes(const DataTypeSlice & x)`	`TF_MUST_USE_RESULT Attrs` A list of Nfeature_list_sparse types; the data types of data in each FeatureList given in feature_list_sparse_keys.
`NcontextDense(int64 x)`	`TF_MUST_USE_RESULT Attrs` Defaults to 0.
`NcontextSparse(int64 x)`	`TF_MUST_USE_RESULT Attrs` Defaults to 0.
`NfeatureListDense(int64 x)`	`TF_MUST_USE_RESULT Attrs` Defaults to 0.
`NfeatureListSparse(int64 x)`	`TF_MUST_USE_RESULT Attrs` Defaults to 0.

Public attributes

Ncontext_dense_

int64 tensorflow::ops::ParseSequenceExample::Attrs::Ncontext_dense_ = 0

Ncontext_sparse_

int64 tensorflow::ops::ParseSequenceExample::Attrs::Ncontext_sparse_ = 0

Nfeature_list_dense_

int64 tensorflow::ops::ParseSequenceExample::Attrs::Nfeature_list_dense_ = 0

Nfeature_list_sparse_

int64 tensorflow::ops::ParseSequenceExample::Attrs::Nfeature_list_sparse_ = 0

context_dense_shapes_

gtl::ArraySlice< PartialTensorShape > tensorflow::ops::ParseSequenceExample::Attrs::context_dense_shapes_ = {}

context_sparse_types_

DataTypeSlice tensorflow::ops::ParseSequenceExample::Attrs::context_sparse_types_ = {}

feature_list_dense_shapes_

gtl::ArraySlice< PartialTensorShape > tensorflow::ops::ParseSequenceExample::Attrs::feature_list_dense_shapes_ = {}

feature_list_dense_types_

DataTypeSlice tensorflow::ops::ParseSequenceExample::Attrs::feature_list_dense_types_ = {}

feature_list_sparse_types_

DataTypeSlice tensorflow::ops::ParseSequenceExample::Attrs::feature_list_sparse_types_ = {}

Public functions

ContextDenseShapes

TF_MUST_USE_RESULT Attrs tensorflow::ops::ParseSequenceExample::Attrs::ContextDenseShapes(
  const gtl::ArraySlice< PartialTensorShape > & x
)

A list of Ncontext_dense shapes; the shapes of data in each context Feature given in context_dense_keys.

The number of elements in the Feature corresponding to context_dense_key[j] must always equal context_dense_shapes[j].NumEntries(). The shape of context_dense_values[j] will match context_dense_shapes[j].

Defaults to []

ContextSparseTypes

TF_MUST_USE_RESULT Attrs tensorflow::ops::ParseSequenceExample::Attrs::ContextSparseTypes(
  const DataTypeSlice & x
)

A list of Ncontext_sparse types; the data types of data in each context Feature given in context_sparse_keys.

Currently the ParseSingleSequenceExample supports DT_FLOAT (FloatList), DT_INT64 (Int64List), and DT_STRING (BytesList).

Defaults to []

FeatureListDenseShapes

TF_MUST_USE_RESULT Attrs tensorflow::ops::ParseSequenceExample::Attrs::FeatureListDenseShapes(
  const gtl::ArraySlice< PartialTensorShape > & x
)

A list of Nfeature_list_dense shapes; the shapes of data in each FeatureList given in feature_list_dense_keys.

The shape of each Feature in the FeatureList corresponding to feature_list_dense_key[j] must always equal feature_list_dense_shapes[j].NumEntries().

Defaults to []

FeatureListDenseTypes

TF_MUST_USE_RESULT Attrs tensorflow::ops::ParseSequenceExample::Attrs::FeatureListDenseTypes(
  const DataTypeSlice & x
)

Defaults to [].

FeatureListSparseTypes

TF_MUST_USE_RESULT Attrs tensorflow::ops::ParseSequenceExample::Attrs::FeatureListSparseTypes(
  const DataTypeSlice & x
)

A list of Nfeature_list_sparse types; the data types of data in each FeatureList given in feature_list_sparse_keys.

Currently the ParseSingleSequenceExample supports DT_FLOAT (FloatList), DT_INT64 (Int64List), and DT_STRING (BytesList).

Defaults to []

NcontextDense

TF_MUST_USE_RESULT Attrs tensorflow::ops::ParseSequenceExample::Attrs::NcontextDense(
  int64 x
)

Defaults to 0.

NcontextSparse

TF_MUST_USE_RESULT Attrs tensorflow::ops::ParseSequenceExample::Attrs::NcontextSparse(
  int64 x
)

Defaults to 0.

NfeatureListDense

TF_MUST_USE_RESULT Attrs tensorflow::ops::ParseSequenceExample::Attrs::NfeatureListDense(
  int64 x
)

Defaults to 0.

NfeatureListSparse

TF_MUST_USE_RESULT Attrs tensorflow::ops::ParseSequenceExample::Attrs::NfeatureListSparse(
  int64 x
)

Defaults to 0.

© 2020 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 4.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.4/api_docs/cc/struct/tensorflow/ops/parse-sequence-example/attrs