tf.raw_ops.ParseExample

Transforms a vector of brain.Example protos (as strings) into typed tensors.

serialized A Tensor of type string. A vector containing a batch of binary serialized Example protos.
names A Tensor of type string. A vector containing the names of the serialized protos. May contain, for example, table key (descriptive) names for the corresponding serialized protos. These are purely useful for debugging purposes, and the presence of values here has no effect on the output. May also be an empty vector if no names are available. If non-empty, this vector must be the same length as "serialized".
sparse_keys A list of Tensor objects with type string. A list of Nsparse string Tensors (scalars). The keys expected in the Examples' features associated with sparse values.
dense_keys A list of Tensor objects with type string. A list of Ndense string Tensors (scalars). The keys expected in the Examples' features associated with dense values.
dense_defaults A list of Tensor objects with types from: float32, int64, string. A list of Ndense Tensors (some may be empty). 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 e