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Returns a boolean tensor indicating which source and target spans overlap.
text.span_overlaps(
source_start, source_limit, target_start, target_limit, contains=False,
contained_by=False, partial_overlap=False, name=None
)
The source and target spans are specified using B+1 dimensional tensors,
with B>=0
batch dimensions followed by a final dimension that lists the
span offsets for each span in the batch:
 The
i
th source span in batchb1...bB
starts atsource_start[b1...bB, i]
(inclusive), and extends to just beforesource_limit[b1...bB, i]
(exclusive).  The
j
th target span in batchb1...bB
starts attarget_start[b1...bB, j]
(inclusive), and extends to just beforetarget_limit[b1...bB, j]
(exclusive).
result[b1...bB, i, j]
is true if the i
th source span overlaps with the
j
th target span in batch b1...bB
, where a source span overlaps a target
span if any of the following are true:
 The spans are identical.
contains
is true, and the source span contains the target span.contained_by
is true, and the source span is contained by the target span.partial_overlap
is true, and there is a nonzero overlap between the source span and the target span.
Example:
Given the following source and target spans (with no batch dimensions):
# 0 5 10 15 20 25 30 35 40
# ================================
# Source: [0] [1] [2] [3][4][5]
# Target: [0][1] [2] [3] [4][5]
# ================================
source_start = [0, 10, 16, 20, 25, 30]
source_limit = [5, 15, 19, 25, 30, 35]
target_start = [0, 5, 15, 21, 27, 31]
target_limit = [5, 10, 20, 24, 32, 37]
result[i, j]
will be true at the following locations:
* `[0, 0]` (always)
* `[2, 2]` (if contained_by=True or partial_overlaps=True)
* `[3, 3]` (if contains=True or partial_overlaps=True)
* `[4, 4]` (if partial_overlaps=True)
* `[5, 4]` (if partial_overlaps=True)
* `[5, 5]` (if partial_overlaps=True)
Args  

source_start

A B+1 dimensional potentially ragged tensor with shape
[D1...DB, source_size] : the start offset of each source span.

source_limit

A B+1 dimensional potentially ragged tensor with shape
[D1...DB, source_size] : the limit offset of each source span.

target_start

A B+1 dimensional potentially ragged tensor with shape
[D1...DB, target_size] : the start offset of each target span.

target_limit

A B+1 dimensional potentially ragged tensor with shape
[D1...DB, target_size] : the limit offset of each target span.

contains

If true, then a source span is considered to overlap a target span when the source span contains the target span. 
contained_by

If true, then a source span is considered to overlap a target span when the source span is contained by the target span. 
partial_overlap

If true, then a source span is considered to overlap a target span when the source span partially overlaps the target span. 
name

A name for the operation (optional). 
Returns  

A B+2 dimensional potentially ragged boolean tensor with shape
[D1...DB, source_size, target_size] .

Raises  

ValueError

If the span tensors are incompatible. 