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Reduces sparse updates into a variable reference using the min
operation.
tf.compat.v1.scatter_min(
ref, indices, updates, use_locking=False, name=None
)
This operation computes
# Scalar indices
ref[indices, ...] = min(ref[indices, ...], updates[...])
# Vector indices (for each i)
ref[indices[i], ...] = min(ref[indices[i], ...], updates[i, ...])
# High rank indices (for each i, ..., j)
ref[indices[i, ..., j], ...] = min(ref[indices[i, ..., j], ...],
updates[i, ..., j, ...])
This operation outputs ref
after the update is done.
This makes it easier to chain operations that need to use the reset value.
Duplicate entries are handled correctly: if multiple indices
reference
the same location, their contributions combine.
Requires updates.shape = indices.shape + ref.shape[1:]
or updates.shape =
[]
.
![](https://www.tensorflow.org/images/ScatterAdd.png?authuser=2)
Returns | |
---|---|
A mutable Tensor . Has the same type as ref .
|