49f659d7b893a0e94b85d2c371f7abbb4e0e4082,tests/chainer_tests/links_tests/connection_tests/test_convolution_2d.py,TestConvolution2D,setUp,#TestConvolution2D#,22

Before Change

            initial_bias=chainer.initializers.Normal(1, self.x_dtype))
        self.link.cleargrads()

        self.x = numpy.random.uniform(-1, 1,
                                      (2, 3, 4, 3)).astype(self.x_dtype)
        self.gy = numpy.random.uniform(-1, 1,
                                       (2, 2, 2, 2)).astype(self.x_dtype)
        self.check_backward_options = {}
        if self.x_dtype == numpy.float16 or self.W_dtype == numpy.float16:

After Change

    param_names = ("W", "b")

    def setUp(self):
        self.check_backward_options.update({
            "atol": 5e-4, "rtol": 5e-3
        })
        if self.x_dtype == numpy.float16 or self.W_dtype == numpy.float16:
            self.check_forward_options.update({"atol": 5e-3, "rtol": 5e-2})
            self.check_backward_options.update({
                "atol": 1e-3, "rtol": 1e-3

Instances