| Package | Description |
|---|---|
| org.bytedeco.pytorch | |
| org.bytedeco.pytorch.cuda | |
| org.bytedeco.pytorch.global |
| Class and Description |
|---|
| torch.ActivityType |
| torch.AliasAnalysisKind |
| torch.AttributeKind |
| torch.Backend
This legacy enum class defines the set of backends supported by old school,
code generated Type-based ATen.
|
| torch.BackendComponent |
| torch.CreationMeta
NOTE [ Autograd View Variables ]
Many operations return Variable that shares storage with an input Variable.
|
| torch.DebugInfoKind |
| torch.DeviceType |
| torch.DispatchKey |
| torch.EventFlag
Flags defining the behavior of events.
|
| torch.ExecutorExecutionMode |
| torch.Float32MatmulPrecision |
| torch.FusionBehavior |
| torch.JitAttributeKind |
| torch.Layout |
| torch.LinalgBackend |
| torch.MemoryFormat
Construct an ArrayRef from a C array.
|
| torch.NameType |
| torch.ProfilerState |
| torch.QEngine
QEngine is an enum that is used to select the engine to run quantized ops.
|
| torch.QScheme
QScheme is an enum that specifies the type of quantization.
|
| torch.RecordScope |
| torch.ScalarType |
| torch.SchemaArgType |
| torch.Tag
Include this file if you want to register operators.
|
| torch.TorchFunctionDisabledState |
| torch.TypeKind |
| Class and Description |
|---|
| torch_cuda.RecordContext |
| torch.DeviceType |
| torch.MemoryFormat
Construct an ArrayRef from a C array.
|
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