(arrays, expr)
return tensorflow_contract
Build a tensorflow function based on ``arrays`` and ``expr``.
Build a tensorflow function based on ``arrays`` and ``expr``.
Build a tensorflow function based on arrays and expr .
def build_expression_graph(arrays, expr):
    """Build a tensorflow function based on ``arrays`` and ``expr``."""
    tf, _, _ = _get_tensorflow_and_device()

    placeholders = [to_tensorflow(array) for array in arrays]
    graph = expr._contract(placeholders, backend="tensorflow")

    def tensorflow_contract(*arrays):
        session = tf.get_default_session()
        # only want to feed placeholders - constant tensors already have values
        feed_dict = {p: a for p, a in zip(placeholders, arrays) if p.op.type == "Placeholder"}
        return session.run(graph, feed_dict=feed_dict)

    return tensorflow_contract
def build_expression_graph ( arrays , expr ) : tf , _ , _ = _get_tensorflow_and_device ( ) placeholders = [ to_tensorflow ( array ) for array in arrays ] graph = expr . _contract ( placeholders , backend = "tensorflow" ) def tensorflow_contract ( * arrays ) : session = tf . get_default_session ( ) # only want to feed placeholders - constant tensors already have values feed_dict = { p : a for p , a in zip ( placeholders , arrays ) if p . op . type == "Placeholder" } return session . run ( graph , feed_dict = feed_dict ) return tensorflow_contract