def check_backward(self, x_data, t_data, y_grad):
# Skip too large case. That requires a long time.
if self.shape[0] == 65536:
return
gradient_check.check_backward(
functions.SigmoidCrossEntropy(),
(x_data, t_data), None, atol=1e-4, rtol=1e-3)
def check_backward(self, x_data, t_data, use_cudnn=True):
# Skip too large case. That requires a long time.
if self.shape[0] == 65536:
return
gradient_check.check_backward(
functions.SigmoidCrossEntropy(use_cudnn),
(x_data, t_data), None, eps=1e-2)
def check_backward_no_reduction(self, x_data, t_data, y_grad):
# Skip too large case. That requires a long time.
if self.shape[0] == 65536:
return
gradient_check.check_backward(
functions.SigmoidCrossEntropy(reduce='no'), (x_data, t_data),
y_grad,
eps=1e-2)