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# torch.Tensor.put_

Tensor.put_(index, source, accumulate=False) → Tensor

  Copies the elements from `source` into the positions specified by `index`. For the purpose of indexing, the `self` tensor is treated as if it were a 1-D tensor.

  `index` and `source` need to have the same number of elements, but not necessarily the same shape.

  If `accumulate` is `True`, the elements in `source` are added to `self`. If accumulate is `False`, the behavior is undefined if `index` contain duplicate elements.

  Parameters:

    - index (LongTensor) – the indices into self

    - source (Tensor) – the tensor containing values to copy from

    - accumulate (bool) – whether to accumulate into self

  Example:

      >>> src = torch.tensor([[4, 3, 5],
      ...                     [6, 7, 8]])
      >>> src.put_(torch.tensor([1, 3]), torch.tensor([9, 10]))
      tensor([[  4,   9,   5],
              [ 10,   7,   8]])

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