Package | Description |
---|---|
org.bytedeco.tensorflow |
Modifier and Type | Method and Description |
---|---|
ResourceSparseApplyAdadelta.Attrs |
ResourceSparseApplyAdadelta.Attrs.getPointer(long i) |
ResourceSparseApplyAdadelta.Attrs |
ResourceSparseApplyAdadelta.Attrs.getPointer(long i) |
ResourceSparseApplyAdadelta.Attrs |
ResourceSparseApplyAdadelta.Attrs.position(long position) |
ResourceSparseApplyAdadelta.Attrs |
ResourceSparseApplyAdadelta.Attrs.position(long position) |
ResourceSparseApplyAdadelta.Attrs |
ResourceSparseApplyAdadelta.Attrs.use_locking_(boolean setter) |
ResourceSparseApplyAdadelta.Attrs |
ResourceSparseApplyAdadelta.Attrs.use_locking_(boolean setter) |
static ResourceSparseApplyAdadelta.Attrs |
ResourceSparseApplyAdadelta.UseLocking(boolean x) |
ResourceSparseApplyAdadelta.Attrs |
ResourceSparseApplyAdadelta.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.
|
static ResourceSparseApplyAdadelta.Attrs |
ResourceSparseApplyAdadelta.UseLocking(boolean x) |
ResourceSparseApplyAdadelta.Attrs |
ResourceSparseApplyAdadelta.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.
|
Constructor and Description |
---|
ResourceSparseApplyAdadelta(Scope scope,
Input var,
Input accum,
Input accum_update,
Input lr,
Input rho,
Input epsilon,
Input grad,
Input indices,
ResourceSparseApplyAdadelta.Attrs attrs) |
ResourceSparseApplyAdadelta(Scope scope,
Input var,
Input accum,
Input accum_update,
Input lr,
Input rho,
Input epsilon,
Input grad,
Input indices,
ResourceSparseApplyAdadelta.Attrs attrs) |
Copyright © 2022. All rights reserved.