Quentin Bourgerie
1f3944047f
feature(compiler): Introduce the BConcrete Dialect
2022-02-17 15:53:23 +01:00
Umut
20a89b7b42
feat: implement concat operation
2022-02-15 16:52:07 +03:00
Umut
a1818a3fd9
feat: implement advanced sum operation
2022-02-08 17:49:58 +03:00
Antoniu Pop
dddad849c7
enhance(compiler): add --parallelize-loops and --parallelize-dataflow compile flags in addition to --parallelize which enables both.
2022-02-03 10:59:12 +00:00
Antoniu Pop
ec633d57f6
fix(compiler): predicate OpenMP loop parallelization of Linalg on the --parallelize flag.
2022-02-03 10:59:12 +00:00
Umut
4203e86998
feat: implement basic sum operation
2022-02-01 12:18:56 +03:00
Umut
a7c63a5494
fix: get rid of documentation mistakes and styling inconsistencies in FHELinalgOps.td
2022-02-01 12:18:56 +03:00
Umut
8198a79deb
feat: introduce maximum bit width constant, use it where appropriate, export it in python bindings
2022-01-24 17:26:37 +03:00
Andi Drebes
7fdeb61aa8
fix(compiler): Handle size_t explicitly in JITLambdaArgumentAdaptor::addArgument
...
On some systems, size_t does not alias any of the fixed-size, unsigned
integer types and therefore needs to be treated explicitly in
`JITLambdaArgumentAdaptor::addArgument` to prevent the function from
failing with an unknown argument type.
Closes issue #369 : Bug: MacOS tests failing on master due to
IntLambdaArgument<size_t>.
2022-01-10 16:57:37 +01:00
Quentin Bourgerie
4ecae140ca
doc(compiler): Enhance FHE Dialect documentation
2022-01-06 18:07:19 +01:00
youben11
2009ee1c94
chore: changing ref to repo after its renaming
...
also formatting and update the check_license script to match that
2022-01-06 12:40:10 +01:00
rudy
58e02fd035
feat(Testlib): lib for testing libs generated by concretecompiler
...
Closes #201
2022-01-05 09:29:57 +01:00
Antoniu Pop
8f71c331d4
fix(runtime): formatting.
2022-01-04 12:43:33 +01:00
Antoniu Pop
93835e0106
fix(runtime): move deallocation of key clones in context destructor.
2022-01-04 12:43:33 +01:00
Antoniu Pop
84f01f78d6
fix(runtime/DFR): create only one BSK clone per thread and deallocate.
2022-01-04 12:43:33 +01:00
rudy
b8bd38dd6c
feat(compiler): Output client parameters when compile to a library
...
close #198
2022-01-03 17:57:16 +01:00
youben11
f1161f7f6d
chore: formatting
...
Quick fix due to ordering of includes, had to add #include
<mlir/Transforms/DialectConversion.h> to include/concretelang/Conversion/Utils/GenericOpTypeConversionPattern.h
2022-01-03 09:29:19 +01:00
youben11
940cb96be4
chore: rename dialects
...
HLFHE to FHE
MidLFHE to TFHE
LowLFHE to Concrete
2021-12-29 15:13:34 +01:00
youben11
e73291abdc
chore: rename compiler to concrete-compiler
...
zamalang => concretelang
zamacompiler => concretecompiler
2021-12-29 15:13:34 +01:00
youben11
971cb56182
chore: licensing
2021-12-29 15:13:34 +01:00
rudy
d8fee32cea
feat(HLFHELinalg): add apply_mapped_table_lookup
...
Resolves #182
2021-12-27 15:34:33 +01:00
aquint-zama
7f88d6553e
docs: add first documentation
2021-12-27 09:55:57 +01:00
Antoniu Pop
cdca7ca6f7
feat(compiler): add Dataflow/RT dialect and code generation for dataflow auto parallelization.
2021-12-23 15:57:53 +00:00
Quentin Bourgerie
db683f4a0e
feat(compiler/runtime): Introduce a RT dialect
2021-12-23 15:57:53 +00:00
Antoniu Pop
bc3d647453
fix(dfr): make HPX runtime environment persistent and deallocate temporaries.
2021-12-23 15:57:53 +00:00
Antoniu Pop
23d3dca3f2
formatting(dfr): add .hpp to the formatting script and format the relevant files.
2021-12-23 15:57:53 +00:00
Andi Drebes
f319ba37d2
feat(compiler): Integrate HLFHELinalg tiling passes into compilation pipeline
2021-12-17 16:09:59 +01:00
Andi Drebes
bc75831c86
feat(compiler): Add passes for tiling of HLFHELinalg.matmul_eint_int
...
Add two passes related to the tiling of `HLFHELinalg.matmul_eint_int`
operations.
The `HLFHELinalgTilingMarker` pass takes a vector of tile sizes and
adds an integer array attribute "tile-sizes" to each instance of
`HLFHELinalg.matmul_eint_int`, e.g.,
"HLFHELinalg.matmul_eint_int"(%arg0, %arg1) {"tile-sizes" = [2, 2, 2]} :
(tensor<4x2x!HLFHE.eint<6>>, tensor<2x2xi7>) -> tensor<4x2x!HLFHE.eint<6>>
The `HLFHELinalgTiling` performs the actual tiling of each
`HLFHELinalg.matmul_eint_int` operation marked with a "tile-sizes"
attribute. The tiling preserves the level of abstraction of
HLFHELinalg and is implemented as a perfect loop nest of SCF for loops
with a `HLFHELinalg.matmul_eint_int` in the body.
For example,
func @main(%arg0: tensor<4x2x!HLFHE.eint<6>>, %arg1: tensor<2x2xi7>)
-> tensor<4x2x!HLFHE.eint<6>>
{
%0 = "HLFHELinalg.matmul_eint_int"(%arg0, %arg1) {"tile-sizes" = [2, 2, 2]} :
(tensor<4x2x!HLFHE.eint<6>>, tensor<2x2xi7>) -> tensor<4x2x!HLFHE.eint<6>>
return %0 : tensor<4x2x!HLFHE.eint<6>>
}
becomes:
func @main(%arg0: tensor<4x2x!HLFHE.eint<6>>, %arg1: tensor<2x2xi7>)
-> tensor<4x2x!HLFHE.eint<6>>
{
%c2 = arith.constant 2 : index
%c0 = arith.constant 0 : index
%c4 = arith.constant 4 : index
%0 = "HLFHELinalg.zero"() : () -> tensor<4x2x!HLFHE.eint<6>>
%1 = scf.for %arg2 = %c0 to %c4 step %c2 iter_args(%arg3 = %0)
-> (tensor<4x2x!HLFHE.eint<6>>) {
%2 = scf.for %arg4 = %c0 to %c2 step %c2 iter_args(%arg5 = %arg3)
-> (tensor<4x2x!HLFHE.eint<6>>) {
%3 = scf.for %arg6 = %c0 to %c2 step %c2 iter_args(%arg7 = %arg5)
-> (tensor<4x2x!HLFHE.eint<6>>) {
%4 = tensor.extract_slice %arg0[%arg2, %arg4] [2, 2] [1, 1] :
tensor<4x2x!HLFHE.eint<6>> to tensor<2x2x!HLFHE.eint<6>>
%5 = tensor.extract_slice %arg1[%arg4, %arg6] [2, 2] [1, 1] :
tensor<2x2xi7> to tensor<2x2xi7>
%6 = tensor.extract_slice %arg7[%arg2, %arg6] [2, 2] [1, 1] :
tensor<4x2x!HLFHE.eint<6>> to tensor<2x2x!HLFHE.eint<6>>
%7 = "HLFHELinalg.matmul_eint_int"(%4, %5) :
(tensor<2x2x!HLFHE.eint<6>>, tensor<2x2xi7>)
-> tensor<2x2x!HLFHE.eint<6>>
%8 = "HLFHELinalg.add_eint"(%6, %7) :
(tensor<2x2x!HLFHE.eint<6>>, tensor<2x2x!HLFHE.eint<6>>)
-> tensor<2x2x!HLFHE.eint<6>>
%9 = tensor.insert_slice %8 into %arg7[%arg2, %arg6] [2, 2] [1, 1] :
tensor<2x2x!HLFHE.eint<6>> into tensor<4x2x!HLFHE.eint<6>>
scf.yield %9 : tensor<4x2x!HLFHE.eint<6>>
}
scf.yield %3 : tensor<4x2x!HLFHE.eint<6>>
}
scf.yield %2 : tensor<4x2x!HLFHE.eint<6>>
}
return %1 : tensor<4x2x!HLFHE.eint<6>>
}
Only full tiles are supported, i.e., the size of the dimensions of the
operands must be a multiple of the respective tile sizes.
2021-12-17 16:09:59 +01:00
Andi Drebes
27ca5122bc
enhance(compiler): Use named constant for the default pattern rewriting benefit
...
This introduces a new header file `zamalang/Support/Constants.h` for
constants, currently only populated with a constant for the default
pattern rewriting benefit of 1.
2021-12-17 15:28:21 +01:00
youben11
60b2cfd9b7
feat: support more dtype for scalars/tensors
...
dtype supported now: uint8, uint16, uint32, uint64
2021-12-13 17:40:28 +01:00
Antoniu Pop
bb44124999
feat(dfr): add the DFR (DataFlow Runtime).
2021-12-08 18:35:29 +00:00
rudy
cc58608589
chore(Lambda): simplify, extract, enhance message for bit width rounding
...
bit with rounding: 5bit element is widen to a standard 8bit word
2021-12-07 15:29:05 +01:00
rudy
2c56a26c75
fix(Lambda): missing superfluous check in setArg
...
[----------] Global test environment tear-down
[==========] 7 tests from 1 test suite ran. (1513 ms total)
[ PASSED ] 7 tests.
YOU HAVE 2 DISABLED TESTS
2021-12-07 15:29:05 +01:00
Mayeul@Zama
dad4390518
feat(compiler): add a key cache
2021-12-07 12:11:56 +01:00
Mayeul@Zama
f193fd71a2
fix(compiler): fix mixed-up (g)lwe dimension/size
...
add dimension -> size conversion
rename k -> glweDimension, polynomialSize -> logPolynomialSize
remove (in/out)putLweSize from KeySwitchLweOp
remove GlweSizeType from LowLFHE
2021-12-07 12:11:56 +01:00
Quentin Bourgerie
fb58dcc59d
enhance(compiler/lowlfhe): Give the runtime context as function argument instead of a global variable ( close #195 )
2021-12-02 10:56:47 +01:00
Andi Drebes
4883eebfa3
feat(compiler): Add HLFHELinalg.zero operation
...
Add a new operation `HLFHELinalg.zero`, broadcasting an encrypted,
zero-valued integer into a tensor of encrypted integers with static
shape.
Example creating a one-dimensional tensor with five elements all
initialized to an encrypted zero:
%tensor = "HLFHELinalg.zero"() : () -> tensor<5x!HLFHE.eint<4>>
2021-12-01 11:24:27 +01:00
rudy
975ee86a5e
feat(compiler): add --compile option
...
Resolves #196
2021-11-30 17:42:28 +01:00
Quentin Bourgerie
b1e7a66b09
cleanup(compiler/lowlfhe): Remove useless LowLFHE ops and types
...
Some of these operators/types could be usefull but they are not yet use on the compiler pipeline it's preferable to remove them, and reintroduce if needed.
2021-11-30 16:11:33 +01:00
Andi Drebes
8c06a5a1b2
enhance(compiler): Replace linalg type converter pattern with generic pattern
...
Replace `LinalgGenericTypeConverterPattern`, specialized for
`linalg.generic` with a generic type converter pattern
`RegionOpTypeConverterPattern` that can be instantiated for any
operation that has one or more regions.
Further enhancements:
- Supports multiple regions
- Uses more idiomatic instantiations of `llvm::for_each` instead of
manual iterations using for loops
2021-11-26 17:05:21 +01:00
Quentin Bourgerie
ddbafd713d
feat(compiler): Add the HLFHELinalg.matmul_int_eint operator
2021-11-24 09:19:25 +01:00
Andi Drebes
ffe32f5e90
fix(compiler): Suppress various warnings about expressions with different signedness
2021-11-19 16:23:15 +01:00
Quentin Bourgerie
100862e484
feat(compiler): Add the support of linalg.tensor_expand_shape and linalg.tensor_collapse_shape on encrypted tensors
2021-11-17 14:19:15 +01:00
youben11
ac7f1f5a6b
feat(compiler): add HLFHELinalg.apply_multi_lut
...
Apply a lookup table on the different elements of the encrypted tensors,
but using different lookup tables.
MANP support as well as tests
2021-11-15 11:25:44 +01:00
Quentin Bourgerie
12b4771405
feat(compiler/linalg): Definition of HLFHELinalg.matmul_eint_int ( closes #176 )
2021-11-12 16:50:29 +01:00
youben11
99cce18c6a
feat: get RT lib path from py and use as sharedlib
...
Try to find the runtime library automatically (should only work on
proper installation of the package), and fail silently by not passing
any RT lib. The RT lib can also be specified manually. The RT lib will
be used as a shared library by the JIT compiler.
2021-11-12 15:06:49 +01:00
Andi Drebes
f54c0dd8d8
enhance(compiler): JitCompilerEngine: Add support for arbitrary int result tensors
...
Add support for result tensors composed of uint8_t, uint16_t, uint32_t
and uint64_t elements, replacing the current implementation, which
only supports uint64_t tensors.
2021-11-12 12:00:39 +01:00
Andi Drebes
3118983287
enhance(compiler): Add function JITLambda::Arguments::getResultWidth
...
Add a new method `JITLambda::Arguments::getResultWidth` returning the
width of a scalar result or the element type of a tensor result at a
given position.
2021-11-12 12:00:39 +01:00
Andi Drebes
e4cd340e36
enhance(compiler): JIT: Support result tensors with arbitrary element types
...
Currently, `JITLambda::Arguments` assumes result tensors are always
composed of `uint64_t` elements. This change adds support for
arbitrary scalar element types.
2021-11-12 12:00:39 +01:00
youben11
d9adbab036
feat(compiler): add HLFHELinalg.neg_eint op
2021-11-10 15:24:31 +01:00