test_that("image_folder dataset", {
ds <- image_folder_dataset(
root = "assets/class",
transform = . %>% transform_to_tensor %>%
transform_resize(c(32,32))
)
expect_length(ds[1], 2)
dl <- torch::dataloader(ds, batch_size = 2, drop_last = TRUE)
coro::loop(for(batch in dl) {
expect_tensor_shape(batch[[1]], c(2, 3, 32, 32))
expect_tensor_shape(batch[[2]], 2)
expect_tensor_shape(batch$x, c(2, 3, 32, 32))
expect_tensor_shape(batch$y, 2)
})
expect_length(ds, 12)
})
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