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TensorFlow 1 version
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View source on GitHub
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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:
tensor = tf.range(5)tf.strings.format("tensor: {}, suffix", tensor)<tf.Tensor: shape=(), dtype=string, numpy=b'tensor: [0 1 2 3 4], suffix'>
Formatting a multi-tensor template:
tensor_a = tf.range(2)tensor_b = tf.range(1, 4, 2)tf.strings.format("a: {}, b: {}, suffix", (tensor_a, tensor_b))<tf.Tensor: shape=(), dtype=string, numpy=b'a: [0 1], b: [1 3], suffix'>
Args | |
|---|---|
template
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A string template to format tensor values into. |
inputs
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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.
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summarize
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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.
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name
|
A name for the operation (optional). |
Returns | |
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A scalar Tensor of type string.
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Raises | |
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ValueError
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if the number of placeholders does not match the number of inputs. |