def grade_Q2():
a = np.random.rand(100, 10)
b = np.random.rand(100, 10)
c = prj01.Q2(a, b)
if not hasattr(c, "shape"):
return False
if c.shape != (100, 10):
return False
return all([
abs(c[i, j] - a[i, j] - b[i, j]) < 1e-9 for i in range(100)
for j in range(10)
])
def grade_Q8():
A = np.random.rand(100, 100)
x = np.random.rand(100, 1)
b = np.random.rand(100, 1)
y = prj01.Q8(A, b).compile(golden.Builder())(x=x)
return np.allclose(y, prj01.Q2(prj01.Q3(A, x), b))
def grade_Q7():
a = np.random.rand(100, 50)
b = np.random.rand(100, 10)
c = np.random.rand(10, 50)
d = prj01.Q7().compile(golden.Builder())(a=a, b=b, c=c)
return np.allclose(d, prj01.Q2(a, prj01.Q3(b, c)))
def grade_Q6():
a = np.random.rand(100, 10)
b = np.random.rand(100, 10)
c = prj01.Q6().compile(golden.Builder())(a=a, b=b)
return np.allclose(c, prj01.Q2(a, b))