| Package | Description |
|---|---|
| org.deeplearning4j.parallelism | |
| org.deeplearning4j.parallelism.factory | |
| org.deeplearning4j.parallelism.trainer |
| Modifier and Type | Method and Description |
|---|---|
ParallelWrapper |
ParallelWrapper.Builder.build()
This method returns ParallelWrapper instance
|
| Modifier and Type | Method and Description |
|---|---|
Trainer |
DefaultTrainerContext.create(int threadId,
org.deeplearning4j.nn.api.Model model,
int rootDevice,
boolean useMDS,
ParallelWrapper wrapper,
org.deeplearning4j.nn.conf.WorkspaceMode mode,
int averagingFrequency)
Create a
Trainer
based on the given parameters |
Trainer |
SymmetricTrainerContext.create(int threadId,
org.deeplearning4j.nn.api.Model model,
int rootDevice,
boolean useMDS,
ParallelWrapper wrapper,
org.deeplearning4j.nn.conf.WorkspaceMode mode,
int averagingFrequency)
Create a
Trainer
based on the given parameters |
Trainer |
TrainerContext.create(int threadId,
org.deeplearning4j.nn.api.Model model,
int rootDevice,
boolean useMDS,
ParallelWrapper wrapper,
org.deeplearning4j.nn.conf.WorkspaceMode workspaceMode,
int averagingFrequency)
Create a
Trainer
based on the given parameters |
| Modifier and Type | Field and Description |
|---|---|
protected ParallelWrapper |
DefaultTrainer.parallelWrapper |
| Constructor and Description |
|---|
SymmetricTrainer(org.deeplearning4j.nn.api.Model originalModel,
int threadIdx,
org.deeplearning4j.nn.conf.WorkspaceMode mode,
ParallelWrapper wrapper,
boolean useMDS) |
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