Module: torchlive/torch
Interfaces
Type aliases
Dtype
Ƭ Dtype: "double" | "float" | "float32" | "float64" | "int" | "int16" | "int32" | "int64" | "int8" | "long" | "short" | "uint8"
A Dtype is an object that represents the data type of a Tensor.
The int64 (a.k.a. long) data types are not fully supported in React Native.
For now, use .to({dtype: torch.int32}) to downcast before accessing such
methods as .data() and .item().
https://pytorch.org/docs/1.11/tensor_attributes.html#torch-dtype
Defined in
torchlive/torch.ts:105
MemoryFormat
Ƭ MemoryFormat: "channelsLast" | "contiguousFormat" | "preserveFormat"
A MemoryFormat is an object representing the memory format on which a Tensor is or will be allocated.
https://pytorch.org/docs/1.11/tensor_attributes.html#torch.torch.memory_format
Defined in
torchlive/torch.ts:131
Scalar
Ƭ Scalar: number
Defined in
torchlive/torch.ts:137
TensorOptions
Ƭ TensorOptions: Object
Type declaration
| Name | Type | Description |
|---|---|---|
dtype? | Dtype | The desired data type of a tensor. |
Defined in
torchlive/torch.ts:119
Variables
torch
• Const torch: Torch
Defined in
torchlive/torch.ts:549