Fork自 PaddlePaddle / PaddleDetection
import unittest import numpy as np from op_test_util import OpTestMeta from gradient_checker import GradientChecker, create_op class TestSigmoidOp(unittest.TestCase): __metaclass__ = OpTestMeta def setUp(self): self.type = 'lookup_table' table = np.random.random((17, 31)).astype('float32')
ids = np.random.randint(0, 17, 4).astype('int32')
self.inputs = {'W': table, 'Ids': ids} self.outputs = {'Out': table[ids]} class TestSigmoidGradOp(GradientChecker): def test_grad(self): op = create_op('lookup_table') table = np.random.random((17, 31)).astype('float32')
inputs = {'W': table, 'Ids': ids} # check gradients self.check_grad(op, inputs, set('W'), 'Out') if __name__ == '__main__': unittest.main()