tests/testthat/test-image.R

test_that("write image", {
  temp <- tempfile()
  orig_img <- png::readPNG(test_path("resources/img.png"))
  img <- array(orig_img, dim = c(1, 28, 28, 1))

  with_logdir(temp, {
    log_event(hello = summary_image(img))
  })

  events <- collect_events(temp)
  expect_equal(nrow(events), 2)


  skip_if_tbparse_not_available()
  reader <- tbparse$SummaryReader(temp)
  buf <- reader$tensors$value[[1]][[3]]
  # TODO: in theory we don't need tensorflow for this, but couldnt find a way to
  # cast the bytestring to a raw vector.
  reloaded <- as.array(tensorflow::tf$image$decode_png(buf))

  expect_equal(orig_img, reloaded[,,1]/255)
})

test_that("can write nested images", {
  temp <- tempfile()
  orig_img <- png::readPNG(test_path("resources/img.png"))
  img <- array(orig_img, dim = c(1, 28, 28, 1))

  with_logdir(temp, {
    log_event(
      train = list(im = summary_image(img)),
      valid = list(im = summary_image(img))
    )
  })

  events <- collect_events(temp)
  expect_equal(nrow(events), 4)
})

test_that("can write a batch of images", {
  orig_img <- png::readPNG(test_path("resources/img.png"))
  img <- array(orig_img, dim = c(28, 28, 1))
  arr <- array(0, dim = c(10, 28, 28, 1))
  for(i in 1:10) {
    arr[i,,,] <- img
  }

  temp <- tempfile()
  with_logdir(temp, {
    log_event(hello = summary_image(arr))
  })

  skip_if_tbparse_not_available()
  reader <- tbparse$SummaryReader(temp)
  tags <- reader$tags
  expect_equal(as.character(tags$tensors), "hello")
})

test_that("can write a ggplot", {
  df <- data.frame(x = 1:10, y = 1:10)
  gg <- ggplot2::ggplot(df, ggplot2::aes(x, y)) +
    ggplot2::geom_point()
  temp <- tempfile()
  with_logdir(temp, {
    log_event(hello = summary_image(gg))
  })

  events <- collect_events(temp)
  expect_equal(nrow(events), 2)

  buf <- field(field(events$summary[[2]], "image"), "buffer")
  reloaded <- png::readPNG(as.raw(buf[[1]]))

  expect_equal(length(dim(reloaded)), 3)
})

test_that("error when passing an array with wrong dimensions", {
  orig_img <- png::readPNG(test_path("resources/img.png"))
  img <- array(orig_img, dim = c(28, 28, 1))
  temp <- tempfile()

  expect_error({
    with_logdir(temp, {
      log_event(hello = summary_image(img))
    })
  }, regexp = "array with dimensions")

})

test_that("can pass a custom display name", {

  temp <- tempfile()
  orig_img <- png::readPNG(test_path("resources/img.png"))
  img <- array(orig_img, dim = c(1, 28, 28, 1))

  with_logdir(temp, {
    log_event(hello = summary_image(
      img,
      metadata = summary_metadata(
        plugin_name = "images",
        display_name = "Hello world",
        description = "This is a description"
      )
    ))
  })

  s <- collect_events(temp, type="summary")
  expect_equal(
    field(field(s$summary, "metadata"), "description"),
    "This is a description"
  )
  expect_equal(
    field(field(s$summary, "metadata"), "display_name"),
    "Hello world"
  )
})

test_that("fails if weong metadata is specified", {
  orig_img <- png::readPNG(test_path("resources/img.png"))
  img <- array(orig_img, dim = c(1, 28, 28, 1))
  expect_error({
    summary_image(img, metadata = summary_metadata(plugin_name = "tensor"))
  }, regexp = "Plugin name should be")
})

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tfevents documentation built on June 27, 2024, 5:10 p.m.