Note: Functions taking Tensor arguments can also take anything accepted by tf.convert_to_tensor.

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TensorFlow provides allows you to wrap python/numpy functions as TensorFlow operators.

Wraps a python function and uses it as a tensorflow op.

Given a python function func, which takes numpy arrays as its inputs and returns numpy arrays as its outputs. E.g.,

def my_func(x): return np.sinh(x) inp = tf.placeholder(..., tf.float32) y = py_func(my_func, [inp], [tf.float32])

The above snippet constructs a tf graph which invokes a numpy sinh(x) as an op in the graph.

• func: A python function.
• inp: A list of Tensor.
• Tout: A list of tensorflow data types indicating what func returns.
• name: A name for the operation (optional).

A list of Tensor which func computes.