def forward(self, input):
self._saved_for_backward(input)
output = avgpool2d_forward(input, self.kernel_size, self.pad)
return output
flag = 0
if test_grad_b.shape != grad_b.shape:
print('[ERROR] conv2d_backward: grad_b shape is not correct')
flag = 0
else:
diff = test_grad_b - grad_b
if abs(diff).max() > 1e-5:
print('[ERROR] conv2d_backward: grad_b value is not correct')
flag = 0
finally:
if flag:
print('[PASS] conv2d_backward: all correct')
try:
test_pool_out = avgpool2d_forward(pool_inp, 2, 0)
except:
print(
'[FAILED] avgpool2d_forward: bug in codes, can not run for inp.shape = (4, 3, 6, 6), ker_size = 2, pad = 0'
)
else:
if test_pool_out.shape != pool_out.shape:
print('[ERROR] avgpool2d_forward: output shape is not correct')
else:
diff = test_pool_out - pool_out
if abs(diff).max() > 1e-5:
print('[ERROR] avgpool2d_forward: output value is not correct')
else:
print('[PASS] avgpool2d_forward: all correct')
try:
