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: 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 | A string template to format tensor values into. | 
| inputs | A list of Tensorobjects, 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 to3.
When formatting the tensors, show the first and lastsummarizeentries 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 | 
|---|
| A scalar Tensorof typestring. | 
| Raises | 
|---|
| ValueError | if the number of placeholders does not match the number of
inputs. | 
  
  
 
  
    
    
      
       
    
    
  
  
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  Last updated 2024-04-26 UTC.
  
  
  
    
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