6ed7ad98f7a9466b4a9940119f02c67ff430a29e,deepexplain/tensorflow/methods.py,,original_grad,#Any#Any#,39

Before Change

def original_grad(op, grad):
    a_name = next((x for x in SUPPORTED_ACTIVATIONS if x in op.name.lower()), None)
    if a_name is None:
        raise RuntimeError("Activation function (%s) not supported" % op.name.lower())
    f = getattr(nn_grad, "_%sGrad" % a_name.capitalize())
    return f(op, grad)

After Change

def original_grad(op, grad):
    if op.type not in SUPPORTED_ACTIVATIONS:
        warnings.warn("Activation function (%s) not supported" % op.type)
    f = getattr(nn_grad, "_%sGrad" % op.type)
    return f(op, grad)

Instances