Package | Description |
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org.bytedeco.tensorflow |
Modifier and Type | Method and Description |
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ApplyAdadelta.Attrs |
ApplyAdadelta.Attrs.getPointer(long i) |
ApplyAdadelta.Attrs |
ApplyAdadelta.Attrs.getPointer(long i) |
ApplyAdadelta.Attrs |
ApplyAdadelta.Attrs.position(long position) |
ApplyAdadelta.Attrs |
ApplyAdadelta.Attrs.position(long position) |
ApplyAdadelta.Attrs |
ApplyAdadelta.Attrs.use_locking_(boolean setter) |
ApplyAdadelta.Attrs |
ApplyAdadelta.Attrs.use_locking_(boolean setter) |
static ApplyAdadelta.Attrs |
ApplyAdadelta.UseLocking(boolean x) |
ApplyAdadelta.Attrs |
ApplyAdadelta.Attrs.UseLocking(boolean x)
If True, updating of the var, accum and update_accum tensors will be protected by
a lock; otherwise the behavior is undefined, but may exhibit less contention.
|
static ApplyAdadelta.Attrs |
ApplyAdadelta.UseLocking(boolean x) |
ApplyAdadelta.Attrs |
ApplyAdadelta.Attrs.UseLocking(boolean x)
If True, updating of the var, accum and update_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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ApplyAdadelta(Scope scope,
Input var,
Input accum,
Input accum_update,
Input lr,
Input rho,
Input epsilon,
Input grad,
ApplyAdadelta.Attrs attrs) |
ApplyAdadelta(Scope scope,
Input var,
Input accum,
Input accum_update,
Input lr,
Input rho,
Input epsilon,
Input grad,
ApplyAdadelta.Attrs attrs) |
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