Uses of Class
org.bytedeco.javacpp.tensorflow.SparseApplyAdagrad.Attrs

Packages that use tensorflow.SparseApplyAdagrad.Attrs

Package	Description
org.bytedeco.javacpp

Uses of tensorflow.SparseApplyAdagrad.Attrs in org.bytedeco.javacpp

Methods in org.bytedeco.javacpp that return tensorflow.SparseApplyAdagrad.Attrs

Modifier and Type	Method and Description
tensorflow.SparseApplyAdagrad.Attrs	tensorflow.SparseApplyAdagrad.Attrs.position(long position)
tensorflow.SparseApplyAdagrad.Attrs	tensorflow.SparseApplyAdagrad.Attrs.update_slots_(boolean update_slots_)
static tensorflow.SparseApplyAdagrad.Attrs	tensorflow.SparseApplyAdagrad.UpdateSlots(boolean x)
tensorflow.SparseApplyAdagrad.Attrs	tensorflow.SparseApplyAdagrad.Attrs.UpdateSlots(boolean x) Defaults to true
tensorflow.SparseApplyAdagrad.Attrs	tensorflow.SparseApplyAdagrad.Attrs.use_locking_(boolean use_locking_)
static tensorflow.SparseApplyAdagrad.Attrs	tensorflow.SparseApplyAdagrad.UseLocking(boolean x)
tensorflow.SparseApplyAdagrad.Attrs	tensorflow.SparseApplyAdagrad.Attrs.UseLocking(boolean x) 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.

Constructors in org.bytedeco.javacpp with parameters of type tensorflow.SparseApplyAdagrad.Attrs

Constructor and Description
SparseApplyAdagrad(tensorflow.Scope scope, tensorflow.Input var, tensorflow.Input accum, tensorflow.Input lr, tensorflow.Input grad, tensorflow.Input indices, tensorflow.SparseApplyAdagrad.Attrs attrs)