A TensorRepresentationGroup is a collection of TensorRepresentations with
names. These names may serve as identifiers when converting the dataset
to a collection of Tensors or tf.CompositeTensors.
For example, given the following group:
{
key: "dense_tensor"
tensor_representation {
dense_tensor {
column_name: "univalent_feature"
shape {
dim {
size: 1
}
}
default_value {
float_value: 0
}
}
}
}
{
key: "varlen_sparse_tensor"
tensor_representation {
varlen_sparse_tensor {
column_name: "multivalent_feature"
}
}
}

Then the schema is expected to have feature "univalent_feature" and
"multivalent_feature", and when a batch of data is converted to Tensors using
this TensorRepresentationGroup, the result may be the following dict:
{
"dense_tensor": tf.Tensor(...),
"varlen_sparse_tensor": tf.SparseTensor(...),
}

Protobuf type tensorflow.metadata.v0.TensorRepresentationGroup