Fork自 PaddlePaddle / Paddle
import unittest import numpy as np from op_test import OpTest class TestHingeLossOp(OpTest): def setUp(self): self.op_type = 'hinge_loss' samples_num = 64 logits = np.random.uniform(-10, 10, (samples_num, 1)).astype('float32') labels = np.random.randint(0, 2, (samples_num, 1)).astype('float32') self.inputs = { 'Logits': logits, 'Labels': labels, } loss = np.maximum(1.0 - (2 * labels - 1) * logits, 0) self.outputs = {'Loss': loss} def test_check_output(self): self.check_output() def test_check_grad(self): self.check_grad(['Logits'], 'Loss', max_relative_error=0.008) if __name__ == '__main__': unittest.main()