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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: ```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)
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.