TensorFlow 2 version
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View source on GitHub
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Assert the condition x == y holds element-wise.
tf.debugging.assert_equal(
x, y, data=None, summarize=None, message=None, name=None
)
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.
When running in graph mode, you should add a dependency on this operation to ensure that it runs. Example of adding a dependency to an operation:
with tf.control_dependencies([tf.compat.v1.assert_equal(x, y)]):
output = tf.reduce_sum(x)
Args | |
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x
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Numeric Tensor.
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y
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Numeric Tensor, same dtype as and broadcastable to x.
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data
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The tensors to print out if the condition is False. Defaults to
error message and first few entries of x, y.
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summarize
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Print this many entries of each tensor. |
message
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A string to prefix to the default message. |
name
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A name for this operation (optional). Defaults to "assert_equal". |
Returns | |
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Op that raises InvalidArgumentError if x == y is False.
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Raises | |
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InvalidArgumentError
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if the check can be performed immediately and
x == y is False. The check can be performed immediately during
eager execution or if x and y are statically known.
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Eager Compatibility
returns None