Package | Description |
---|---|
org.bytedeco.tensorflow |
Modifier and Type | Method and Description |
---|---|
SparseApplyRMSProp.Attrs |
SparseApplyRMSProp.Attrs.getPointer(long i) |
SparseApplyRMSProp.Attrs |
SparseApplyRMSProp.Attrs.getPointer(long i) |
SparseApplyRMSProp.Attrs |
SparseApplyRMSProp.Attrs.position(long position) |
SparseApplyRMSProp.Attrs |
SparseApplyRMSProp.Attrs.position(long position) |
SparseApplyRMSProp.Attrs |
SparseApplyRMSProp.Attrs.use_locking_(boolean setter) |
SparseApplyRMSProp.Attrs |
SparseApplyRMSProp.Attrs.use_locking_(boolean setter) |
static SparseApplyRMSProp.Attrs |
SparseApplyRMSProp.UseLocking(boolean x) |
SparseApplyRMSProp.Attrs |
SparseApplyRMSProp.Attrs.UseLocking(boolean x)
If
True , updating of the var, ms, and mom tensors is protected
by a lock; otherwise the behavior is undefined, but may exhibit less
contention. |
static SparseApplyRMSProp.Attrs |
SparseApplyRMSProp.UseLocking(boolean x) |
SparseApplyRMSProp.Attrs |
SparseApplyRMSProp.Attrs.UseLocking(boolean x)
If
True , updating of the var, ms, and mom tensors is protected
by a lock; otherwise the behavior is undefined, but may exhibit less
contention. |
Constructor and Description |
---|
SparseApplyRMSProp(Scope scope,
Input var,
Input ms,
Input mom,
Input lr,
Input rho,
Input momentum,
Input epsilon,
Input grad,
Input indices,
SparseApplyRMSProp.Attrs attrs) |
SparseApplyRMSProp(Scope scope,
Input var,
Input ms,
Input mom,
Input lr,
Input rho,
Input momentum,
Input epsilon,
Input grad,
Input indices,
SparseApplyRMSProp.Attrs attrs) |
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