tf.strings.format

TensorFlow 1 version View source on GitHub

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:

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:

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)

template A string template to format tensor values into.
inputs A list of Tensor objects, or a single Tensor. The list of tensors to format into the template string. If a solitary tensor is passed in, the input tensor will automatically be wrapped as a list.
placeholder An optional string. Defaults to {}. At each placeholder occurring in the template, a subsequent tensor will be inserted.
summarize An optional int. Defaults to 3. When formatting the tensors, show the first and last summarize entries of each tensor dimension (recursively). If set to -1, all elements of the tensor will be shown.
name A name for the operation (optional).

A scalar Tensor of type string.

ValueError if the number of placeholders does not match the number of inputs.