Package | Description |
---|---|
org.bytedeco.tensorflow |
Modifier and Type | Method and Description |
---|---|
ResourceApplyFtrlV2.Attrs |
ResourceApplyFtrlV2.Attrs.getPointer(long i) |
ResourceApplyFtrlV2.Attrs |
ResourceApplyFtrlV2.Attrs.getPointer(long i) |
ResourceApplyFtrlV2.Attrs |
ResourceApplyFtrlV2.Attrs.position(long position) |
ResourceApplyFtrlV2.Attrs |
ResourceApplyFtrlV2.Attrs.position(long position) |
ResourceApplyFtrlV2.Attrs |
ResourceApplyFtrlV2.Attrs.use_locking_(boolean setter) |
ResourceApplyFtrlV2.Attrs |
ResourceApplyFtrlV2.Attrs.use_locking_(boolean setter) |
static ResourceApplyFtrlV2.Attrs |
ResourceApplyFtrlV2.UseLocking(boolean x) |
ResourceApplyFtrlV2.Attrs |
ResourceApplyFtrlV2.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 ResourceApplyFtrlV2.Attrs |
ResourceApplyFtrlV2.UseLocking(boolean x) |
ResourceApplyFtrlV2.Attrs |
ResourceApplyFtrlV2.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 |
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ResourceApplyFtrlV2(Scope scope,
Input var,
Input accum,
Input linear,
Input grad,
Input lr,
Input l1,
Input l2,
Input l2_shrinkage,
Input lr_power,
ResourceApplyFtrlV2.Attrs attrs) |
ResourceApplyFtrlV2(Scope scope,
Input var,
Input accum,
Input linear,
Input grad,
Input lr,
Input l1,
Input l2,
Input l2_shrinkage,
Input lr_power,
ResourceApplyFtrlV2.Attrs attrs) |
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