tf.keras.ops.convert_to_tensor

Convert a NumPy array or Python array to a tensor.

tf.keras.ops.convert_to_tensor(
    x, dtype=None, sparse=None, ragged=None
)

Native tensors for the current backend or left unchanged unless the dtype, sparse or ragged arguments are set.

Args
`x`	A NumPy array, Python array (can be nested) or a backend tensor.
`dtype`	The target type. If `None`, the type of `x` is used.
`sparse`	Whether to keep sparse tensors. `False` will cause sparse tensors to be densified. The default value of `None` means that sparse tensors are kept only if the backend supports them.
`ragged`	Whether to keep ragged tensors. `False` will cause ragged tensors to be densified. The default value of `None` means that ragged tensors are kept only if the backend supports them.

Returns
A backend tensor of the specified `dtype` and sparseness.

x = np.array([1, 2, 3])
y = keras.ops.convert_to_tensor(x)

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Last updated 2026-10-31 UTC.

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