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