d741cd57d4777b0506e000b773be26171e18a5ae,testing/spatial_transformer_test.py,ResamplerTest,test_resampler_3d_circular_nearest_correctness,#ResamplerTest#,45

Before Change

    def test_resampler_3d_circular_nearest_correctness(self):
        input=self.get_3d_input1()
        grid=tf.constant([[[.25,.25-2,.25-4],[.25+4,.75+8,0.25]],[[0.75,0.25,0.25],[0.25,0.25,0.75]]],dtype=tf.float32)
        resampler=ResamplerLayer(boundary="CIRCULAR",interpolation="NEAREST")
        out=resampler(input,grid)
        with self.test_session() as sess:
          sess.run(tf.global_variables_initializer())
          out_value = sess.run(out)

After Change

                               boundary="CIRCULAR",
                               expected_value=[[[2.75],[3.75]],[[12.75],[11.25]]])
    def test_resampler_3d_circular_nearest_correctness(self):
        self._test_correctness(input=self.get_3d_input1(),
                               grid=tf.constant([[[.25,.25+2,.25+3],[.25-2,.75-2,.25-3]],[[.75+4,.25-6,.25-6],[.25+2,.25-4,.75+9]]],dtype=tf.float32),
                               interpolation="NEAREST",
                               boundary="CIRCULAR",
                               expected_value=[[[1],[3]],[[13],[10]]])
    def test_resampler_3d_symmetric_linear_correctness(self):
        self._test_correctness(input=self.get_3d_input1(),
                               grid=tf.constant([[[-.25,-.25,-.25],[.25+2,.75+2,.25+4]],[[.75,.25,-.25+4],[.25,.25,.75]]],dtype=tf.float32),
                               interpolation="LINEAR",

Instances