Package | Description |
---|---|
org.bytedeco.pytorch | |
org.bytedeco.pytorch.global |
Modifier and Type | Method and Description |
---|---|
SizeTOptional |
TensorType.dim() |
SizeTOptional |
ClassType.findAttributeSlot(BytePointer name) |
SizeTOptional |
ClassType.findAttributeSlot(String name) |
SizeTOptional |
ClassType.findConstantSlot(BytePointer name) |
SizeTOptional |
ClassType.findConstantSlot(String name) |
SizeTOptional |
Graph.get_op_version() |
SizeTOptional |
DataLoaderOptions.max_jobs() |
SizeTOptional |
TensorType.numel() |
SizeTOptional |
SizeTOptional.put(long value) |
SizeTOptional |
SizeTOptional.put(SizeTOptional x) |
SizeTOptional |
SymbolicShape.rank() |
SizeTOptional |
ChunkBatchSharedTensorBatchDataset.size()
Returns the size of the dataset, or an empty optional if it is unsized.
|
SizeTOptional |
MNISTBatchDataset.size()
Returns the size of the dataset, or an empty optional if it is unsized.
|
SizeTOptional |
ChunkMapDataset.size()
Returns the size of the source dataset.
|
SizeTOptional |
ChunkBatchSharedBatchDataset.size()
Returns the size of the dataset, or an empty optional if it is unsized.
|
SizeTOptional |
JavaStatefulDataset.size() |
SizeTOptional |
JavaStatefulBatchDataset.size()
Returns the size of the dataset, or an empty optional if it is unsized.
|
SizeTOptional |
ChunkMapTensorDataset.size()
Returns the size of the source dataset.
|
SizeTOptional |
ChunkTensorBatchDataset.size()
Returns the size of the dataset, or an empty optional if it is unsized.
|
SizeTOptional |
JavaBatchDataset.size()
Returns the size of the dataset, or an empty optional if it is unsized.
|
SizeTOptional |
JavaStreamDataset.size() |
SizeTOptional |
JavaDataset.size() |
SizeTOptional |
ChunkMapTensorBatchDataset.size()
Returns the size of the dataset, or an empty optional if it is unsized.
|
SizeTOptional |
JavaStreamBatchDataset.size()
Returns the size of the dataset, or an empty optional if it is unsized.
|
SizeTOptional |
ChunkDataset.size()
size is not used for chunk dataset.
|
SizeTOptional |
ChunkSharedTensorBatchDataset.size()
Returns the
size from the underlying dataset. |
SizeTOptional |
LongVaryingShape.size() |
SizeTOptional |
MNISTMapBatchDataset.size()
Returns the size of the dataset, or an empty optional if it is unsized.
|
SizeTOptional |
StrideVaryingShape.size() |
SizeTOptional |
JavaTensorBatchDataset.size()
Returns the size of the dataset, or an empty optional if it is unsized.
|
SizeTOptional |
JavaTensorDataset.size() |
SizeTOptional |
ChunkBatchDataset.size()
Returns the size of the dataset, or an empty optional if it is unsized.
|
SizeTOptional |
TensorBatchDataset.size()
Returns the size of the dataset, or an empty optional if it is unsized.
|
SizeTOptional |
TensorDataset.size()
Returns the number of tensors in the dataset.
|
SizeTOptional |
MNIST.size()
Returns the size of the dataset.
|
SizeTOptional |
JavaStreamTensorBatchDataset.size()
Returns the size of the dataset, or an empty optional if it is unsized.
|
SizeTOptional |
MNISTMapDataset.size()
Returns the size of the source dataset.
|
SizeTOptional |
JavaStatefulTensorBatchDataset.size()
Returns the size of the dataset, or an empty optional if it is unsized.
|
SizeTOptional |
ChunkSharedBatchDataset.size()
Returns the
size from the underlying dataset. |
SizeTOptional |
ChunkMapBatchDataset.size()
Returns the size of the dataset, or an empty optional if it is unsized.
|
SizeTOptional |
JavaStatefulTensorDataset.size() |
SizeTOptional |
ChunkTensorDataset.size()
size is not used for chunk dataset.
|
SizeTOptional |
JavaStreamTensorDataset.size() |
SizeTOptional |
Stride.stride_() |
SizeTOptional |
Stride.stride_index_() |
Modifier and Type | Method and Description |
---|---|
SharedSugaredValueVector |
SimpleValue.asTuple(SourceRange loc,
GraphFunction m,
SizeTOptional size_hint) |
SharedSugaredValueVector |
SugaredValue.asTuple(SourceRange loc,
GraphFunction m,
SizeTOptional size_hint) |
SharedSugaredValueVector |
SugaredTupleValue.asTuple(SourceRange loc,
GraphFunction m,
SizeTOptional size_hint) |
static TensorType |
TensorType.create(ScalarTypeOptional scalar_type,
DeviceOptional device,
SizeTOptional dim,
BoolOptional requires_grad) |
FunctionVector |
CompilationUnit.define(QualifiedNameOptional prefix,
PropertyVector properties,
ResolverVector propResolvers,
DefVector definitions,
ResolverVector defResolvers,
Self self,
boolean shouldMangle,
SizeTOptional operator_set_version) |
BytePointer |
FunctionSchema.formatTypeMismatchMsg(Argument expected,
BytePointer actual_type,
SizeTOptional _position,
StringOptional value) |
String |
FunctionSchema.formatTypeMismatchMsg(Argument expected,
String actual_type,
SizeTOptional _position,
StringOptional value) |
ExecutionPlan |
GraphExecutor.getPlanFor(IValueVector inputs,
SizeTOptional remaining_bailout_depth) |
SizeTOptional |
SizeTOptional.put(SizeTOptional x) |
void |
DistributedRandomSampler.reset(SizeTOptional new_size)
Resets the
DistributedRandomSampler to a new set of indices. |
void |
BatchSizeSampler.reset(SizeTOptional new_size)
Resets the
Sampler 's internal state. |
void |
StreamSampler.reset(SizeTOptional new_size)
Resets the internal state of the sampler.
|
void |
SequentialSampler.reset(SizeTOptional new_size)
Resets the
SequentialSampler to zero. |
void |
RandomSampler.reset(SizeTOptional new_size)
Resets the
RandomSampler to a new set of indices. |
void |
DistributedSequentialSampler.reset(SizeTOptional new_size)
Resets the
DistributedSequentialSampler to a new set of indices. |
void |
Sampler.reset(SizeTOptional new_size)
Resets the
Sampler 's internal state. |
void |
Graph.set_op_version(SizeTOptional version) |
Stride |
Stride.stride_(SizeTOptional setter) |
Stride |
Stride.stride_index_(SizeTOptional setter) |
TensorType |
TensorType.withDim(SizeTOptional d) |
Constructor and Description |
---|
LongVaryingShape(SizeTOptional size) |
Stride(SizeTOptional stride_index,
BoolOptional contiguous,
SizeTOptional stride) |
StrideVaryingShape(SizeTOptional size) |
SymbolicShape(SizeTOptional rank) |
Modifier and Type | Method and Description |
---|---|
static SizeTOptional |
torch.findInputWithName(BytePointer name,
NamedValueArrayRef kwargs) |
static SizeTOptional |
torch.findInputWithName(BytePointer name,
NamedValueArrayRef kwargs,
boolean is_aten) |
static SizeTOptional |
torch.findInputWithName(String name,
NamedValueArrayRef kwargs) |
static SizeTOptional |
torch.findInputWithName(String name,
NamedValueArrayRef kwargs,
boolean is_aten) |
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