Divides sparse updates into the variable referenced by resource
.
tf.raw_ops.ResourceScatterDiv(
resource, indices, updates, name=None
)
This operation computes
# Scalar indices
ref[indices, ...] /= updates[...]
# Vector indices (for each i)
ref[indices[i], ...] /= updates[i, ...]
# High rank indices (for each i, ..., j)
ref[indices[i, ..., j], ...] /= updates[i, ..., j, ...]
Duplicate entries are handled correctly: if multiple indices
reference
the same location, their contributions multiply.
Requires updates.shape = indices.shape + ref.shape[1:]
or updates.shape = []
.
![](https://tensorflow.google.cn/images/ScatterAdd.png?authuser=9)
Args | |
---|---|
resource
|
A Tensor of type resource . Should be from a Variable node.
|
indices
|
A Tensor . Must be one of the following types: int32 , int64 .
A tensor of indices into the first dimension of ref .
|
updates
|
A Tensor . Must be one of the following types: float32 , float64 , int32 , uint8 , int16 , int8 , complex64 , int64 , qint8 , quint8 , qint32 , bfloat16 , uint16 , complex128 , half , uint32 , uint64 .
A tensor of updated values to add to ref .
|
name
|
A name for the operation (optional). |
Returns | |
---|---|
The created Operation. |