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  7. CPUTensorData

torch.CPUTensorData

export interface CPUTensorData {
  storage: TypedStorage;
  shape: readonly number[];
  dtype: DType;
  device: 'cpu';
  requires_grad: boolean;
  grad_fn?: GradFn;
}
storage(TypedStorage)
shape(readonly number[])
dtype(DType)
device('cpu')
requires_grad(boolean)
grad_fn(GradFn)optional

Internal tensor data structure for CPU tensors.

Contains the metadata and CPU memory reference for tensors allocated on the CPU device. This is the low-level representation that backs the public Tensor class.

Fields:

  • storage: TypedArray containing the tensor data
  • shape: Dimensions of the tensor
  • dtype: Element data type
  • device: Always 'cpu' for this variant
  • requires_grad: Whether gradients are tracked for this tensor
  • grad_fn: Function that computes gradients during backward pass
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