@Name(value="torch::data::datasets::SharedBatchDataset<torch::data::datasets::ChunkDataset<JavaCPP_torch_0003a_0003adata_0003a_0003adatasets_0003a_0003aChunkDataReader_0003ctorch_0003a_0003adata_0003a_0003aExample_0003ctorch_0003a_0003aTensor_0002ctorch_0003a_0003adata_0003a_0003aexample_0003a_0003aNoTarget_0003e_0002cstd_0003a_0003avector_0003ctorch_0003a_0003adata_0003a_0003aExample_0003ctorch_0003a_0003aTensor_0002ctorch_0003a_0003adata_0003a_0003aexample_0003a_0003aNoTarget_0003e_00020_0003e_00020_0003e,torch::data::samplers::RandomSampler,torch::data::samplers::RandomSampler> >") @NoOffset @Properties(inherit=torch.class) public class ChunkSharedTensorBatchDataset extends ChunkBatchSharedTensorBatchDataset
Pointer.CustomDeallocator, Pointer.Deallocator, Pointer.NativeDeallocator, Pointer.ReferenceCounteris_stateful| Constructor and Description |
|---|
ChunkSharedTensorBatchDataset(ChunkTensorDataset shared_dataset)
Constructs a new
SharedBatchDataset from a shared_ptr to the
UnderlyingDataset. |
ChunkSharedTensorBatchDataset(Pointer p)
Pointer cast constructor.
|
| Modifier and Type | Method and Description |
|---|---|
ChunkTensorDataset |
access()
Accesses the underlying dataset.
|
TensorExampleVectorOptional |
get_batch(long request)
Calls
get_batch on the underlying dataset. |
ChunkTensorDataset |
multiply()
Accesses the underlying dataset.
|
void |
reset()
Calls
reset() on the underlying dataset. |
SizeTOptional |
size()
Returns the
size from the underlying dataset. |
is_stateful, mapaddress, asBuffer, asByteBuffer, availablePhysicalBytes, calloc, capacity, capacity, close, deallocate, deallocate, deallocateReferences, deallocator, deallocator, equals, fill, formatBytes, free, getDirectBufferAddress, getPointer, getPointer, getPointer, getPointer, hashCode, interruptDeallocatorThread, isNull, isNull, limit, limit, malloc, maxBytes, maxPhysicalBytes, memchr, memcmp, memcpy, memmove, memset, offsetAddress, offsetof, offsetof, parseBytes, physicalBytes, physicalBytesInaccurate, position, position, put, realloc, referenceCount, releaseReference, retainReference, setNull, sizeof, sizeof, toString, totalBytes, totalCount, totalPhysicalBytes, withDeallocator, zeropublic ChunkSharedTensorBatchDataset(Pointer p)
Pointer(Pointer).public ChunkSharedTensorBatchDataset(@SharedPtr ChunkTensorDataset shared_dataset)
SharedBatchDataset from a shared_ptr to the
UnderlyingDataset.@ByVal @Cast(value="torch::data::datasets::SharedBatchDataset<torch::data::datasets::ChunkDataset<JavaCPP_torch_0003a_0003adata_0003a_0003adatasets_0003a_0003aChunkDataReader_0003ctorch_0003a_0003adata_0003a_0003aExample_0003ctorch_0003a_0003aTensor_0002ctorch_0003a_0003adata_0003a_0003aexample_0003a_0003aNoTarget_0003e_0002cstd_0003a_0003avector_0003ctorch_0003a_0003adata_0003a_0003aExample_0003ctorch_0003a_0003aTensor_0002ctorch_0003a_0003adata_0003a_0003aexample_0003a_0003aNoTarget_0003e_00020_0003e_00020_0003e,torch::data::samplers::RandomSampler,torch::data::samplers::RandomSampler> >::BatchType*") public TensorExampleVectorOptional get_batch(@Cast(value="torch::data::datasets::SharedBatchDataset<torch::data::datasets::ChunkDataset<JavaCPP_torch_0003a_0003adata_0003a_0003adatasets_0003a_0003aChunkDataReader_0003ctorch_0003a_0003adata_0003a_0003aExample_0003ctorch_0003a_0003aTensor_0002ctorch_0003a_0003adata_0003a_0003aexample_0003a_0003aNoTarget_0003e_0002cstd_0003a_0003avector_0003ctorch_0003a_0003adata_0003a_0003aExample_0003ctorch_0003a_0003aTensor_0002ctorch_0003a_0003adata_0003a_0003aexample_0003a_0003aNoTarget_0003e_00020_0003e_00020_0003e,torch::data::samplers::RandomSampler,torch::data::samplers::RandomSampler> >::BatchRequestType") long request)
get_batch on the underlying dataset.get_batch in class ChunkBatchSharedTensorBatchDataset@ByVal public SizeTOptional size()
size from the underlying dataset.size in class ChunkBatchSharedTensorBatchDataset@ByRef @Name(value="operator *") public ChunkTensorDataset multiply()
@Name(value="operator ->") public ChunkTensorDataset access()
public void reset()
reset() on the underlying dataset.Copyright © 2024. All rights reserved.