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 = []
.
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. |
© 2020 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.3/api_docs/python/tf/raw_ops/ResourceScatterDiv