tf.raw_ops.ResourceScatterDiv
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