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.

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".

Op raising InvalidArgumentError unless x is all non-negative.