import unittest import numpy as np from op_test_util import OpTestMeta from gradient_checker import GradientChecker, create_op class TestRowwiseAddOp(unittest.TestCase): __metaclass__ = OpTestMeta def setUp(self): self.type = "rowwise_add" self.inputs = { 'X': np.random.random((32, 84)).astype("float32"), 'b': np.random.random(84).astype("float32") } self.outputs = {'Out': np.add(self.inputs['X'], self.inputs['b'])} class TestRowwiseAddOp2(unittest.TestCase): __metaclass__ = OpTestMeta def setUp(self): self.type = "rowwise_add" self.inputs = { 'X': np.random.random((13, 6, 7, 8)).astype("float32"), 'b': np.random.random((7, 8)).astype("float32") } self.outputs = {'Out': np.add(self.inputs['X'], self.inputs['b'])} class TestRowwiseAddGradOp(GradientChecker): def setUp(self): self.op = create_op("rowwise_add") self.inputs = { "X": np.random.uniform(0.1, 1, [5, 10]).astype("float32"), "b": np.random.uniform(0.1, 1, [10]).astype("float32") } def test_normal(self): self.check_grad(self.op, self.inputs, ["X", "b"], "Out") def test_ignore_b(self): self.check_grad(self.op, self.inputs, ["X"], "Out", no_grad_set={"b"}) def test_ignore_x(self): self.check_grad(self.op, self.inputs, ["b"], "Out", no_grad_set={"X"}) class TestRowwiseAddGradOp2(GradientChecker): def setUp(self): self.op = create_op("rowwise_add") self.inputs = { "X": np.random.uniform(0.1, 1, [2, 3, 2, 5]).astype("float32"), "b": np.random.uniform(0.1, 1, [2, 5]).astype("float32") } def test_normal(self): self.check_grad(self.op, self.inputs, ["X", "b"], "Out") def test_ignore_b(self): self.check_grad(self.op, self.inputs, ["X"], "Out", no_grad_set={"b"}) def test_ignore_x(self): self.check_grad(self.op, self.inputs, ["b"], "Out", no_grad_set={"X"}) if __name__ == '__main__': unittest.main()