Converts the given `value`

to a `Tensor`

.

tf.compat.v1.convert_to_tensor( value, dtype=None, name=None, preferred_dtype=None, dtype_hint=None )

This function converts Python objects of various types to `Tensor`

objects. It accepts `Tensor`

objects, numpy arrays, Python lists, and Python scalars. For example:

import numpy as np def my_func(arg): arg = tf.convert_to_tensor(arg, dtype=tf.float32) return tf.matmul(arg, arg) + arg # The following calls are equivalent. value_1 = my_func(tf.constant([[1.0, 2.0], [3.0, 4.0]])) value_2 = my_func([[1.0, 2.0], [3.0, 4.0]]) value_3 = my_func(np.array([[1.0, 2.0], [3.0, 4.0]], dtype=np.float32))

This function can be useful when composing a new operation in Python (such as `my_func`

in the example above). All standard Python op constructors apply this function to each of their Tensor-valued inputs, which allows those ops to accept numpy arrays, Python lists, and scalars in addition to `Tensor`

objects.

Note:This function diverges from default Numpy behavior for`float`

and`string`

types when`None`

is present in a Python list or scalar. Rather than silently converting`None`

values, an error will be thrown.

Args | |
---|---|

`value` | An object whose type has a registered `Tensor` conversion function. |

`dtype` | Optional element type for the returned tensor. If missing, the type is inferred from the type of `value` . |

`name` | Optional name to use if a new `Tensor` is created. |

`preferred_dtype` | Optional element type for the returned tensor, used when dtype is None. In some cases, a caller may not have a dtype in mind when converting to a tensor, so preferred_dtype can be used as a soft preference. If the conversion to `preferred_dtype` is not possible, this argument has no effect. |

`dtype_hint` | same meaning as preferred_dtype, and overrides it. |

Returns | |
---|---|

A `Tensor` based on `value` . |

Raises | |
---|---|

`TypeError` | If no conversion function is registered for `value` to `dtype` . |

`RuntimeError` | If a registered conversion function returns an invalid value. |

`ValueError` | If the `value` is a tensor not of given `dtype` in graph mode. |

© 2020 The TensorFlow Authors. All rights reserved.

Licensed under the Creative Commons Attribution License 3.0.

Code samples licensed under the Apache 2.0 License.

https://www.tensorflow.org/versions/r2.3/api_docs/python/tf/compat/v1/convert_to_tensor