SkQP Render Test Algorithm

The following is a description of the render test validation algorithm that will be used by the version of SkQP that will be released for Android Q-release.

There is a global macro constant: SK_SKQP_GLOBAL_ERROR_TOLERANCE, which reflects the gn variable skia_skqp_global_error_tolerance. This is usually set to 8.

First, look for a file named skqp/rendertests.txt in the platform_tools/android/apps/skqp/src/main/assets directory. The format of this file is: each line contains one render test name, followed by a comma, followed by an integer. The integer is the passing_threshold for that test.

For each test, we have a max_image and a min_image. These are PNG-encoded images stored in SkQP‘s APK’s asset directory (in the paths gmkb/${TEST}/min.png and gmkb/${TEST}/max.png).

The test input is a rendered image. This will be produced by running one of the render tests against the either the vk (Vulkan) or gles (OpenGL ES) Skia backend.

Here is psuedocode for the error calculation:

function calculate_pixel_error(pixel_value, pixel_max, pixel_min):
    pixel_error = 0

    for color_channel in { red, green, blue, alpha }:
        value = get_color(pixel_value, color_channel)
        v_max = get_color(pixel_max,   color_channel)
        v_min = get_color(pixel_min,   color_channel)

        if value > v_max:
            channel_error = value - v_max
        elif value < v_min:
            channel_error = v_min - value
            channel_error = 0
        pixel_error = max(pixel_error, channel_error)

    return max(0, pixel_error - SK_SKQP_GLOBAL_ERROR_TOLERANCE);

function get_error(rendered_image, max_image, min_image):
    assert(dimensions(rendered_image) == dimensions(max_image))
    assert(dimensions(rendered_image) == dimensions(min_image))

    max_error = 0
    bad_pixels = 0
    total_error = 0

    error_image = allocate_bitmap(dimensions(rendered_image))

    for xy in list_all_pixel_coordinates(rendered_image):
        pixel_error = calculate_pixel_error(rendered_image(xy),
        if pixel_error > 0:
            for neighboring_xy in find_neighbors(xy):
                if not inside(neighboring_xy, dimensions(rendered_image)):
                pixel_error = min(pixel_error,

        if pixel_error > 0:
            max_error = max(max_error, pixel_error)
            bad_pixels += 1
            total_error += pixel_error

            error_image(xy) = linear_interpolation(black, red, pixel_error)
            error_image(xy) = white

    return ((total_error, max_error, bad_pixels), error_image)

For each render test, there is a threshold value for total_error, : passing_threshold.

If passing_threshold >= 0 && total_error > passing_threshold, then the test is a failure and is included in the report. if passing_threshold == -1, then the test always passes, but we do execute the test to verify that the driver does not crash.

We generate a report with the following information for each test:


in CSV format in the file out.csv. A HTML report of just the failing tests is written to the file report.html. This version includes four images for each test: rendered_image, max_image, min_image, and error_image, as well as the three metrics: max_error, bad_pixels, and total_error.