def test_forward(self):
x = Variable(np.arange(12).reshape(3, 4))
y = sum_to(x, (1, 4))
assert_equal(y.data, np.array([[12, 15, 18, 21]]))
def test_backward(self):
x = Variable(np.arange(12).reshape(3, 4))
y = sum_to(x, (1, 4))
y.backward()
assert_equal(x.grad.data, np.ones((3, 4)))
def test_backward3(self):
x_data = np.random.rand(10, 20, 20) * 100
f = lambda x: F.sum_to(x, (10, ))
self.assertTrue(gradient_check(f, x_data))
def test_backward4(self):
x_data = np.random.rand(10)
f = lambda x: F.sum_to(x, (10, )) + 1
self.assertTrue(gradient_check(f, x_data))
def test_forward3(self):
x = Variable(np.random.rand(10))
y = F.sum_to(x, (10, ))
expected = x.data # 同じ形状なので何もしない
self.assertTrue(array_allclose(y.data, expected))
def test_forward2(self):
x = Variable(np.array([[1., 2., 3.], [4., 5., 6.]]))
y = F.sum_to(x, (1, 3))
expected = np.sum(x.data, axis=0, keepdims=True)
self.assertTrue(array_allclose(y.data, expected))
def test_forward1(self):
x = Variable(np.random.rand(10))
y = F.sum_to(x, (1, ))
expected = np.sum(x.data)
self.assertTrue(array_allclose(y.data, expected))
def test_backward2(self):
x_data = np.random.rand(10, 10) * 10
f = lambda x: F.sum_to(x, (10, ))
self.assertTrue(check_backward(f, x_data))
if '__file__' in globals():
import os
import sys
sys.path.append(os.path.join(os.path.dirname(__file__), '..'))
import numpy as np
import matplotlib.pyplot as plt
from dezero import Variable
from dezero import setup_variable
from dezero.utils import plot_dot_graph
import dezero.functions as F
setup_variable()
if __name__ == '__main__':
x = np.array([[1, 2, 3], [4, 5, 6], [7, 8, 9]])
y = F.sum_to(x, (1, 1))
print(y)
