Example #1
0
 def grads(x, y):
     return (
         grad(f, 'x')(x, y),
         grad(f, 0)(x, y),
         grad(f, 'y')(x, y),
         grad(f, 'x', 'y')(x, y),
         grad(f, '*')(x, y),
         value_and_grad(f)(x, y),
     )
Example #2
0
def test_grad_reduce(xs, ys):
    def f(xs, ys):
        return array_reduce(scalar_add, xs * ys, ())

    return grad(f)(xs, ys)
Example #3
0
def test_grad_cast(x):
    def f(x):
        return scalar_cast(x, f16)

    return grad(f)(x)
Example #4
0
def test_grad(x, y):
    def f(x, y):
        return x * (y + x)

    return grad(f)(x, y)
Example #5
0
def step(model, x, y):
    return grad(cost)(model, x, y)
Example #6
0
def test_backward_infer(model, x, y):
    return grad(cost)(model, x, y)
Example #7
0
 def gradbad3(x, y, z):
     return grad(f, z)(x, y)
Example #8
0
 def gradbad2(x, y):
     return grad(f, 'z')(x, y)
Example #9
0
 def gradbad(x, y):
     return grad(f, (0, 1))(x, y)