Lc0Net class
Constructors
- Lc0Net(Lc0Weights w, {Device device = Device.GPU})
Properties
- device → Device
-
final
- hashCode → int
-
The hash code for this object.
no setterinherited
- inputConv → _ConvGpu
-
final
- ip1ValB → Tensor
-
final
- ip1ValWT → Tensor
-
final
- ip2ValB → Tensor
-
final
- ip2ValWT → Tensor
-
final
- policy1 → _ConvGpu
-
final
- policyOut → _ConvGpu
-
final
-
resA
→ List<
_ConvGpu> -
final
-
resB
→ List<
_ConvGpu> -
final
- runtimeType → Type
-
A representation of the runtime type of the object.
no setterinherited
-
se
→ List<
_SEGpu?> -
final
- training ↔ bool
-
Whether this module is in training mode. Layers that behave
differently between training and inference (e.g.
Dropout) read this flag in theircallmethod. Defaults to training mode.getter/setter pairinherited - valueConv → _ConvGpu
-
final
- w → Lc0Weights
-
final
Methods
-
call(
Tensor input) → Lc0Output -
callBatch(
List< Tensor> inputs) → List<Lc0Output> -
Batched forward: feed
Bpositions in one call, getBoutputs. -
eval(
) → void -
Put this module (and any registered submodules) into evaluation mode.
inherited
-
noSuchMethod(
Invocation invocation) → dynamic -
Invoked when a nonexistent method or property is accessed.
inherited
-
parameters(
) → List< Tensor> -
Trainable tensors owned by this module (and its submodules).
override
-
submodules(
) → List< Module> -
Submodules owned by this module. Subclasses that compose other
modules should override this so
train()/eval()propagate. Default: empty.inherited -
toString(
) → String -
A string representation of this object.
inherited
-
train(
) → void -
Put this module (and any registered submodules) into training mode.
inherited
-
zeroGrad(
) → void -
Zero every parameter's gradient. Safe to call before each
backward.inherited
Operators
-
operator ==(
Object other) → bool -
The equality operator.
inherited