qml.math.ones_like

ones_like(tensor, dtype=None)

Returns a tensor of all ones with the same shape and dtype as the input tensor.

Parameters

• tensor (tensor_like) – input tensor

• dtype (str, np.dtype, None) – The desired output datatype of the array. If not provided, the dtype of tensor is used. This argument can be any supported NumPy dtype representation, including a string ("float64"), a np.dtype object (np.dtype("float64")), or a dtype class (np.float64). If tensor is not a NumPy array, the equivalent dtype in the dispatched framework is used.

Returns

an all-ones tensor with the same shape and size as tensor

Return type

tensor_like

Example

>>> x = torch.tensor([1., 2.])
>>> ones_like(x)
tensor([1., 1.])
>>> y = tf.Variable([[0], [5]])
>>> ones_like(y, dtype=np.complex128)
<tf.Tensor: shape=(2, 1), dtype=complex128, numpy=
array([[1.+0.j],
       [1.+0.j]])>

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