tf.compat.v1.assert_non_negative
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Assert the condition x >= 0 holds element-wise.
tf.compat.v1.assert_non_negative(
x, data=None, summarize=None, message=None, name=None
)
Example of adding a dependency to an operation:
with tf.control_dependencies([tf.compat.v1.assert_non_negative(x)]):
output = tf.reduce_sum(x)
Non-negative means, for every element x[i] of x, we have x[i] >= 0.
If x is empty this is trivially satisfied.
Args |
|---|
x
|
Numeric Tensor.
|
data
|
The tensors to print out if the condition is False. Defaults to
error message and first few entries of x.
|
summarize
|
Print this many entries of each tensor.
|
message
|
A string to prefix to the default message.
|
name
|
A name for this operation (optional).
Defaults to "assert_non_negative".
|
Returns |
|---|
Op raising InvalidArgumentError unless x is all non-negative.
|
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Last updated 2020-10-01 UTC.
[null,null,["Last updated 2020-10-01 UTC."],[],[],null,["# tf.compat.v1.assert_non_negative\n\n\u003cbr /\u003e\n\n|----------------------------------------------------------------------------------------------------------------------------|\n| [View source on GitHub](https://github.com/tensorflow/tensorflow/blob/v2.0.0/tensorflow/python/ops/check_ops.py#L305-L345) |\n\nAssert the condition `x \u003e= 0` holds element-wise.\n\n#### View aliases\n\n\n**Compat aliases for migration**\n\nSee\n[Migration guide](https://www.tensorflow.org/guide/migrate) for\nmore details.\n\n[`tf.compat.v1.debugging.assert_non_negative`](/api_docs/python/tf/compat/v1/assert_non_negative)\n\n\u003cbr /\u003e\n\n tf.compat.v1.assert_non_negative(\n x, data=None, summarize=None, message=None, name=None\n )\n\nExample of adding a dependency to an operation: \n\n with tf.control_dependencies([tf.compat.v1.assert_non_negative(x)]):\n output = tf.reduce_sum(x)\n\nNon-negative means, for every element `x[i]` of `x`, we have `x[i] \u003e= 0`.\nIf `x` is empty this is trivially satisfied.\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Args ---- ||\n|-------------|-------------------------------------------------------------------------------------------------------------|\n| `x` | Numeric `Tensor`. |\n| `data` | The tensors to print out if the condition is False. Defaults to error message and first few entries of `x`. |\n| `summarize` | Print this many entries of each tensor. |\n| `message` | A string to prefix to the default message. |\n| `name` | A name for this operation (optional). Defaults to \"assert_non_negative\". |\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Returns ------- ||\n|---|---|\n| Op raising `InvalidArgumentError` unless `x` is all non-negative. ||\n\n\u003cbr /\u003e"]]
View source on GitHub