tf.strings.format

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Formats a string template using a list of tensors.

tf.strings.format(
    template, inputs, placeholder='{}', summarize=3, name=None
)

Formats a string template using a list of tensors, abbreviating tensors by only printing the first and last summarize elements of each dimension (recursively). If formatting only one tensor into a template, the tensor does not have to be wrapped in a list.

Example:

Formatting a single-tensor template: ```python sess = tf.compat.v1.Session() with sess.as_default(): tensor = tf.range(10) formatted = tf.strings.format("tensor: {}, suffix", tensor) out = sess.run(formatted) expected = "tensor: [0 1 2 ... 7 8 9], suffix"

assert(out.decode() == expected)
Formatting a multi-tensor template:
```python
sess = tf.compat.v1.Session()
with sess.as_default():
    tensor_one = tf.reshape(tf.range(100), [10, 10])
    tensor_two = tf.range(10)
    formatted = tf.strings.format("first: {}, second: {}, suffix",
      (tensor_one, tensor_two))

    out = sess.run(formatted)
    expected = ("first: [[0 1 2 ... 7 8 9]\n"
          " [10 11 12 ... 17 18 19]\n"
          " [20 21 22 ... 27 28 29]\n"
          " ...\n"
          " [70 71 72 ... 77 78 79]\n"
          " [80 81 82 ... 87 88 89]\n"
          " [90 91 92 ... 97 98 99]], second: [0 1 2 ... 7 8 9], suffix")

    assert(out.decode() == expected)

Args:

Returns:

A scalar Tensor of type string.

Raises: