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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.
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)
Args | |
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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). |
Returns | |
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A scalar Tensor of type string . |
Raises | |
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ValueError | if the number of placeholders does not match the number of inputs. |
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Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r1.15/api_docs/python/tf/strings/format