Force a Dask Delayed object to compute all parameters before applying the function

Question

I am really enjoying using Dask.

Is there a way that I can force a Delayed object to require all it's arguments to be computed before applying the delayed function?

easy example (the use-case is more interesting with a collection):

def inc(x, y):
    return x + y

dinc = dask.delayed(inc, pure=True)

to something like

def inc(x, y):
    if hasattr(x, compute):
        x = x.compute()
    if hasattr(y, compute):
        y = y.compute()
    return x + y

dinc = dask.delayed(inc, pure=True)

In this way the function will act according to a reduce pattern. Thanks!

Answer 1

Dask.delayed automatically does this. Any delayed object or dask collection (array, dataframe, bag) will be computed before they enter the delayed function.