torch.Tensor.TensorInternals

export type TensorInternals = {
  _is_leaf: boolean;
  _grad_fn: GradFn | null;
  _requires_grad: boolean;
  _shape: Shape;
  _ownsBuffer: boolean;
  _reduceBroadcastGrad: (grad: Tensor) => Tensor;
  _grad: Tensor | null;
  _retains_grad: boolean;
  _hooks: Map<number, (grad: Tensor) => Tensor | null | void>;
  _post_accumulate_hooks: Map<number, (tensor: Tensor) => void>;
};

A multi-dimensional array with GPU acceleration.

The type parameters enable compile-time shape and dtype checking:

const a = torch.zeros(2, 3);                    // Tensor<[2, 3], 'float32'>
const b = torch.zeros(2, 3, { dtype: 'int32' }); // Tensor<[2, 3], 'int32'>
const c = a.matmul(b);                          // Compile error: dtype mismatch

torch.Tensor.TensorInternals

export type TensorInternals = {
  _is_leaf: boolean;
  _grad_fn: GradFn | null;
  _requires_grad: boolean;
  _shape: Shape;
  _ownsBuffer: boolean;
  _reduceBroadcastGrad: (grad: Tensor) => Tensor;
  _grad: Tensor | null;
  _retains_grad: boolean;
  _hooks: Map<number, (grad: Tensor) => Tensor | null | void>;
  _post_accumulate_hooks: Map<number, (tensor: Tensor) => void>;
};

A multi-dimensional array with GPU acceleration.

The type parameters enable compile-time shape and dtype checking:

const a = torch.zeros(2, 3);                    // Tensor<[2, 3], 'float32'>
const b = torch.zeros(2, 3, { dtype: 'int32' }); // Tensor<[2, 3], 'int32'>
const c = a.matmul(b);                          // Compile error: dtype mismatch