tf.raw_ops.ConvertToSparseCoreCsrWrappedCooTensor 

tf.raw_ops.ConvertToSparseCoreCsrWrappedCooTensor(
    sorted_row_ids_list,
    sorted_col_ids_list,
    sorted_gains_list,
    id_counts_list,
    splits,
    sample_count_per_sc,
    num_replica,
    max_minibatches_per_sc,
    max_ids_per_chip_per_sample,
    table_vocab_size,
    feature_width,
    table_name,
    allow_id_dropping,
    name=None
)

sorted_row_ids_list A list of at least 1 Tensor objects with type int32.
sorted_col_ids_list A list with the same length as sorted_row_ids_list of Tensor objects with type int32.
sorted_gains_list A list with the same length as sorted_row_ids_list of Tensor objects with type float32.
id_counts_list A list with the same length as sorted_row_ids_list of Tensor objects with type int32.
splits A Tensor of type int64.
sample_count_per_sc An int that is >= 1.
num_replica An int that is >= 1.
max_minibatches_per_sc An int that is >= 1.
max_ids_per_chip_per_sample An int that is >= 1.
table_vocab_size An int that is >= 1.
feature_width An int that is >= 1.
table_name A string.
allow_id_dropping A bool.
name A name for the operation (optional).

A tuple of Tensor objects (row_pointers, sorted_sample_ids, sorted_token_ids, sorted_gains, row_pointers_unpadded_size, ids_unpadded_size, num_minibatches_per_sc).
row_pointers A Tensor of type int32.
sorted_sample_ids A Tensor of type int32.
sorted_token_ids A Tensor of type int32.
sorted_gains A Tensor of type float32.
row_pointers_unpadded_size A Tensor of type int32.
ids_unpadded_size A Tensor of type int32.
num_minibatches_per_sc A Tensor of type int32.