Method testNoOp

tensorflow/python/ops/image_ops_test.py:2850–2883

(self)

  @test_util.disable_xla("align_corners=False not supported by XLA")
  @test_util.run_deprecated_v1
  def testNoOp(self):
    img_shape = [1, 6, 4, 1]
    single_shape = [6, 4, 1]
    # This test is also conducted with int8, so 127 is the maximum
    # value that can be used.
    data = [
        127, 127, 64, 64, 127, 127, 64, 64, 64, 64, 127, 127, 64, 64, 127, 127,
        50, 50, 100, 100, 50, 50, 100, 100
    ]
    target_height = 6
    target_width = 4

    for nptype in self.TYPES:
      img_np = np.array(data, dtype=nptype).reshape(img_shape)

      for method in self.METHODS:
        with self.cached_session(use_gpu=True) as sess:
          image = constant_op.constant(img_np, shape=img_shape)
          y = image_ops.resize_images(image, [target_height, target_width],
                                      method)
          yshape = array_ops.shape(y)
          resized, newshape = self.evaluate([y, yshape])
          self.assertAllEqual(img_shape, newshape)
          self.assertAllClose(resized, img_np, atol=1e-5)

      # Resizing with a single image must leave the shape unchanged also.
      with self.cached_session(use_gpu=True):
        img_single = img_np.reshape(single_shape)
        image = constant_op.constant(img_single, shape=single_shape)
        y = image_ops.resize_images(image, [target_height, target_width],
                                    self.METHODS[0])
        yshape = array_ops.shape(y)
        newshape = self.evaluate(yshape)
        self.assertAllEqual(single_shape, newshape)

  @test_util.run_deprecated_v1
  def testTensorArguments(self):