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test_03.py 2.70 KB
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andy-upp 提交于 2020-08-11 13:33 . 整理cpp测试文件,完善文件名
import traceback
import numpy as np
import easynn as nn
import easynn_golden as golden
import easynn_cpp as cpp
def random_kwargs(kwargs):
return {k: np.random.random(shape) if shape != None else np.random.random() for k, shape in kwargs.items()}
def is_same(p, n, **kwargs):
e0 = p.compile(cpp.Builder())
e1 = p.compile(golden.Builder())
nkwargs = [random_kwargs(kwargs) for i in range(n)]
return all([np.allclose(e0(**nkwargs[i]), e1(**nkwargs[i])) for i in range(n)])
def grade_Q1():
x = nn.Input("x")
return is_same(x, 1, x = (9,)) and is_same(x, 1, x = (9, 9))
def grade_Q2():
c1 = nn.Const(np.random.random((10,)))
c2 = nn.Const(np.random.random((10, 10)))
return is_same(c1, 1) and is_same(c2, 1)
def grade_Q3():
x = nn.Input("x")
y = nn.Input("y")
z = x+y
return all([
is_same(z, 1, x = (11,), y = (11,)),
is_same(z, 1, x = (11, 12), y = (11, 12)),
is_same(z, 1, x = (11, 12, 13), y = (11, 12, 13)),
is_same(z, 1, x = (11, 12, 13, 14), y = (11, 12, 13, 14))])
def grade_Q4():
x = nn.Input("x")
y = nn.Input("y")
z = x-y
return all([
is_same(z, 1, x = (11,), y = (11,)),
is_same(z, 1, x = (11, 12), y = (11, 12)),
is_same(z, 1, x = (11, 12, 13), y = (11, 12, 13)),
is_same(z, 1, x = (11, 12, 13, 14), y = (11, 12, 13, 14))])
def grade_Q5():
x = nn.Input("x")
y = nn.Input("y")
z = x*y
return is_same(z, 1, x = (11, 12), y = (12, 13))
def grade_Q6():
x = nn.Input("x")
y = nn.Input("y")
z = x*y
return is_same(z, 1, x = None, y = (12, 13)) and is_same(z, 1, x = (11, 12), y = None)
def grade_Q7():
x = nn.Input("x")
y = nn.Input("y")
z = nn.Input("z")
r = x+y*z
return is_same(r, 1, x = (11, 13), y = (11, 12), z = (12, 13))
def grade_Q8():
x = nn.Input("x")
y = nn.Input("y")
z = nn.Input("z")
r = (x-y)*z
return is_same(r, 1, x = (11, 12), y = (11, 12), z = (12, 13))
def grade_Q9():
x = nn.Input("x")
y = nn.Input("y")
z = nn.Input("z")
r = x*y*z
return is_same(r, 1, x = (11, 12), y = (12, 13), z = (13, 14))
def grade_Q10():
x = nn.Input("x")
y = nn.Input("y")
c1 = nn.Const(np.random.random((11, 12)))
c2 = nn.Const(np.random.random((12, 13)))
z = x*y-x*c2-c1*y+c1*c2
return is_same(z, 1, x = (11, 12), y = (12, 13))
grade = 0
for q in range(1, 11):
func = globals()["grade_Q%d" % q]
try:
if func():
grade += 1
else:
print("============Q%d failed!============\n" % q)
except Exception as e:
print("============Q%d failed!============" % q)
print(traceback.format_exc())
print("Total questions passed: %d" % grade)
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tensor-calcu-lib
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