public to(device as Device) as Sequential<T>
Selects execution without resetting parameters, optimizer state or precision. Transfers are performed on demand; selecting CPU makes current weights available on the CPU before the next operation. GPU/NPU mean one device, never implicit multi-device training. NPU execution is reserved for a future release.
| Parameter | Description |
|---|---|
device | Automatic policy, CPU, GPU category or concrete GPU. |
This model for chaining.
model.to(Device.gpu[0]); model.fit(xTrain, yTrain)