ML Community Day is November 9! Join us for updates from TensorFlow, JAX, and more Learn more

ResourceSparseApplyAdagradV2

public final class ResourceSparseApplyAdagradV2

Update relevant entries in '*var' and '*accum' according to the adagrad scheme.

That is for rows we have grad for, we update var and accum as follows: accum += grad * grad var -= lr * grad * (1 / sqrt(accum))

Nested Classes

class ResourceSparseApplyAdagradV2.Options Optional attributes for ResourceSparseApplyAdagradV2  

Public Methods

static <T, U extends Number> ResourceSparseApplyAdagradV2
create(Scope scope, Operand<?> var, Operand<?> accum, Operand<T> lr, Operand<T> epsilon, Operand<T> grad, Operand<U> indices, Options... options)
Factory method to create a class wrapping a new ResourceSparseApplyAdagradV2 operation.
static ResourceSparseApplyAdagradV2.Options
updateSlots(Boolean updateSlots)
static ResourceSparseApplyAdagradV2.Options
useLocking(Boolean useLocking)

Inherited Methods

Public Methods

public static ResourceSparseApplyAdagradV2 create (Scope scope, Operand<?> var, Operand<?> accum, Operand<T> lr, Operand<T> epsilon, Operand<T> grad, Operand<U> indices, Options... options)

Factory method to create a class wrapping a new ResourceSparseApplyAdagradV2 operation.

Parameters
scope current scope
var Should be from a Variable().
accum Should be from a Variable().
lr Learning rate. Must be a scalar.
epsilon Constant factor. Must be a scalar.
grad The gradient.
indices A vector of indices into the first dimension of var and accum.
options carries optional attributes values
Returns
  • a new instance of ResourceSparseApplyAdagradV2

public static ResourceSparseApplyAdagradV2.Options updateSlots (Boolean updateSlots)

public static ResourceSparseApplyAdagradV2.Options useLocking (Boolean useLocking)

Parameters
useLocking If `True`, updating of the var and accum tensors will be protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.