- no more Concrete ciphertext/plaintext types: they are represented using standard MLIR types (int/tensor)
- Technically BConcrete was renamed to Concrete, and old Concrete was
removed
- TFHE -> Concrete now takes into account the conversion of tensor of
ciphertext into tensors of an additional dimension (LWE dim)
- Bufferization now works in Concrete
- Old Concrete optimization were moved to TFHE
- Concrete is now the dialect that lowers to CAPI calls
- TFHE -> Concrete now uses OpConversionPattern and is much cleaner in
terms of type conversion
- Disabled tests for batching, as there was something weird about it:
batchable operations implemented in Concrete but pass run in FHELinalg
This adds a new pass `ExtractSDGOps`, which scans a function for
operations that implement `SDFGConvertibleOpInterface`, replaces them
with SDFG processes and constructs an SDFG graph around the processes.
Initialization and teardown of the SDFG graph are embedded into the
function and take place at the beginning of the function and before
the function's terminator, respectively.
The pass can be invoked using concretecompiler by specifying the new
compilation option `--emit-sdfg-ops` or programmatically on a
`CompilerEngine` using the new compilation option `extractSDFGOps`.
This adds a new operation interface `SDFGConvertibleOpInterface` that
allows an operation to specify how it is converted to an SDFG
process. The interface consists of a single method `convert` that
receives as the arguments the DFG created using `SDFG.init`, a set of
SDFG input streams corresponding to the operands and a set of output
streams for results. The order of the input and output streams
corresponds to the order of the operands and output values,
respectively.
This adds a new dialect called "SDFG" for data flow graphs. An SDFG
data flow graph is composed of a set of processes, connected through
data streams. Special streams allow for data to be injected into and
to be retrieved from the data flow graph.
The dialect is intended to be lowered to API calls that allow for
offloading of the graph on hardware accelerators.
