Warning: This API is deprecated and will be removed in a future version of TensorFlow after the replacement is stable.

ResourceScatterNdSub

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public final class ResourceScatterNdSub

Applies sparse subtraction to individual values or slices in a Variable.

`ref` is a `Tensor` with rank `P` and `indices` is a `Tensor` of rank `Q`.

`indices` must be integer tensor, containing indices into `ref`. It must be shape `[d_0, ..., d_{Q-2}, K]` where `0 < K <= P`.

The innermost dimension of `indices` (with length `K`) corresponds to indices into elements (if `K = P`) or slices (if `K < P`) along the `K`th dimension of `ref`.

`updates` is `Tensor` of rank `Q-1+P-K` with shape:

[d_0, ..., d_{Q-2}, ref.shape[K], ..., ref.shape[P-1]]
 
For example, say we want to subtract 4 scattered elements from a rank-1 tensor with 8 elements. In Python, that subtraction would look like this:
ref = tf.Variable([1, 2, 3, 4, 5, 6, 7, 8], use_resource=True)
 indices = tf.constant([[4], [3], [1], [7]])
 updates = tf.constant([9, 10, 11, 12])
 sub = tf.scatter_nd_sub(ref, indices, updates)
 with tf.Session() as sess:
   print sess.run(sub)
 
The resulting update to ref would look like this:

[1, -9, 3, -6, -4, 6, 7, -4]

See tf.scatter_nd for more details about how to make updates to slices.

Nested Classes

class ResourceScatterNdSub.Options Optional attributes for ResourceScatterNdSub  

Public Methods

static <T extends Number, U> ResourceScatterNdSub
create(Scope scope, Operand<?> ref, Operand<T> indices, Operand<U> updates, Options... options)
Factory method to create a class wrapping a new ResourceScatterNdSub operation.
static ResourceScatterNdSub.Options
useLocking(Boolean useLocking)

Inherited Methods

Public Methods

public static ResourceScatterNdSub create (Scope scope, Operand<?> ref, Operand<T> indices, Operand<U> updates, Options... options)

Factory method to create a class wrapping a new ResourceScatterNdSub operation.

Parameters
scope current scope
ref A resource handle. Must be from a VarHandleOp.
indices A Tensor. Must be one of the following types: int32, int64. A tensor of indices into ref.
updates A Tensor. Must have the same type as ref. A tensor of values to add to ref.
options carries optional attributes values
Returns
  • a new instance of ResourceScatterNdSub

public static ResourceScatterNdSub.Options useLocking (Boolean useLocking)

Parameters
useLocking An optional bool. Defaults to True. If True, the assignment will be protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.