Fork自 PaddlePaddle / PaddleDetection
import unittest import numpy as np from op_test import OpTest class TestProximalGDOp(OpTest): def setUp(self): self.op_type = "proximal_gd" w = np.random.random((102, 105)).astype("float32") g = np.random.random((102, 105)).astype("float32") lr = np.array([0.1]).astype("float32") l1 = 0.1 l2 = 0.2 self.inputs = {'Param': w, 'Grad': g, 'LearningRate': lr} self.attrs = {'l1': l1, 'l2': l2} prox_param = w - lr * g param_out = 0.0 if l1 > 0.0: x = np.abs(prox_param) - lr * l1 x[x < 0] = 0 param_out = np.sign(prox_param) * (x / (1.0 + lr * l2)) else: param_out = prox_param / (1.0 + lr * l2) self.outputs = {'ParamOut': param_out} def test_check_output(self): self.check_output() if __name__ == "__main__": unittest.main()