Provide images to fine rasterization kernel as readonly textures with a
sampler, rather than storage images. That lets us use the GPU's hardware
for sampling, which should be considerably more efficient.
There are a bunch of parameters that are hardcoded, but it does seem to
work.
This patch passes a dynamically sized array of textures to the fine
rasterizer.
A bunch of the low level Vulkan stuff is done, but only enough of the
shaders and encoders to do minimal testing. We'll want to switch from
storage images to sampled images, track the actual array of textures
during encoding, use that to build the descriptor set (which will need
to be more dynamic), and of course run image elements through the
pipeline.
Progress towards #38
We keep a small window of the clip stack in registers in the fine
rasterization kernel, and when that window is exceeded, spill to global
memory, so the clip stack can be unbounded.
The hub does a little better lifetime tracking of resources (so
Rust-side references can be dropped), and in the future will be used for
dynamic selection of backend.
The migration is still a bit half-baked, as there are a bunch of
Vulkan-specific types in the signatures, but it shouldn't be too much
work to sort that out. Perhaps it can wait until there is a second
backend though.
The main motivation for this is to create image objects with lifetime
tracking, one of the things required for #38.
Update to latest versions of all dependencies. Among other things, this
gets us on piet 0.2, though almost all of the changes were around text,
which is not yet implemented.
This patch adds a module that contains both scene and ptcl types (very
lightly adapted from piet-metal), as well as infrastructure for encoding
Rust-side.
WIP, it's not wired up in either the shader or on the Rust side.
Populates the piet-gpu subdir, with an extremely simple renderer. The
main program saves the image to a PNG.
Contains a few fixes (I was confused about the need for multiple
bindings, as opposed to multiple descriptors within a binding).
