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+### `tf.assert_equal(x, y, data=None, summarize=None, name=None)` {#assert_equal}
+
+Assert the condition `x == y` holds element-wise.
+
+Example of adding a dependency to an operation:
+
+```python
+with tf.control_dependencies([tf.assert_equal(x, y)]):
+  output = tf.reduce_sum(x)
+```
+
+Example of adding dependency to the tensor being checked:
+
+```python
+x = tf.with_dependencies([tf.assert_equal(x, y)], x)
+```
+
+This condition holds if for every pair of (possibly broadcast) elements
+`x[i]`, `y[i]`, we have `x[i] == y[i]`.
+If both `x` and `y` are empty, this is trivially satisfied.
+
+##### Args:
+
+
+*  <b>`x`</b>: Numeric `Tensor`.
+*  <b>`y`</b>: Numeric `Tensor`, same dtype as and broadcastable to `x`.
+*  <b>`data`</b>: The tensors to print out if the condition is False.  Defaults to
+    error message and first few entries of `x`, `y`.
+*  <b>`summarize`</b>: Print this many entries of each tensor.
+*  <b>`name`</b>: A name for this operation (optional).  Defaults to "assert_equal".
+
+##### Returns:
+
+  Op that raises `InvalidArgumentError` if `x == y` is False.
+