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+### `tf.assert_negative(x, data=None, summarize=None, name=None)` {#assert_negative}
+
+Assert the condition `x < 0` holds element-wise.
+
+Example of adding a dependency to an operation:
+
+```python
+with tf.control_dependencies([tf.assert_negative(x)]):
+  output = tf.reduce_sum(x)
+```
+
+Example of adding dependency to the tensor being checked:
+
+```python
+x = tf.with_dependencies([tf.assert_negative(x)], x)
+```
+
+Negative means, for every element `x[i]` of `x`, we have `x[i] < 0`.
+If `x` is empty this is trivially satisfied.
+
+##### Args:
+
+
+*  <b>`x`</b>: Numeric `Tensor`.
+*  <b>`data`</b>: The tensors to print out if the condition is False.  Defaults to
+    error message and first few entries of `x`.
+*  <b>`summarize`</b>: Print this many entries of each tensor.
+*  <b>`name`</b>: A name for this operation (optional).  Defaults to "assert_negative".
+
+##### Returns:
+
+  Op raising `InvalidArgumentError` unless `x` is all negative.
+