youben11
8d0f20390c
feat: optimize concrete mul with constant values
2022-06-01 14:35:12 +01:00
youben11
8d04c1e4af
feat: fold tensor ops with constant values
...
add/sub with constant tensors of 0s
mul with constant tensors of 1s
2022-05-30 08:35:14 +01:00
youben11
8aa6f3e809
feat: fold add/sub/mul with specific constant values
...
Remove add/sub with constant zero values
Remove mul with constant one values
2022-05-30 08:35:14 +01:00
Quentin Bourgerie
ae9a04cd56
fix(compiler): Use the absolute value when computing the square of a constant in MANP analysis
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The computation of the norm2 should take care of the sign of the constant to compute the square of this constant.
2022-05-24 14:12:28 +02:00
Quentin Bourgerie
35d8489b9c
fix(compiler/TFHE): Introduce bootstrap and keyswitch at the TFHE level
2022-04-12 09:37:56 +02:00
Antoniu Pop
d40ae16273
fix(compiler): make task work functions unique even across separate translation units.
2022-04-11 15:05:22 +01:00
Mayeul@Zama
b76839b8c9
fix(cmake): fix cmake dependencies
2022-03-30 17:20:20 +02:00
Mayeul@Zama
9ccced7d93
fix(cmake): unify tablegen headers generation dependencies
2022-03-30 17:20:20 +02:00
Quentin Bourgerie
254b4dc530
enhance(compiler): Enable deallocation pass to free temporary buffers
2022-03-28 09:41:54 +02:00
youben11
4e64b9e12a
feat: support FHELinalg.transpose in MANP
2022-03-24 16:04:57 +01:00
youben11
3a4723a0b8
feat: add FHELinalg.transpose operation
2022-03-24 16:04:57 +01:00
Quentin Bourgerie
8961be33d2
fix(compiler): Remove the 7bits restriction on compiler side, it's the optimizer that known the truth
2022-03-22 12:38:58 +01:00
Umut
d06e0c0a59
feat: enhance matmul operation to support 1-D and N-D inputs
2022-03-01 18:06:40 +03:00
youben11
6d2f853c07
feat: support Conv2d in MANP
2022-02-24 09:44:26 +01:00
youben11
3668b2d73a
feat: add a Conv2d operation in FHELinalg
2022-02-24 09:44:26 +01:00
youben11
78596f899f
feat: add generated linalg conv operation
...
This has been generated using linalg tools, then put in their
appropriate locations. This is intended as a workaround since linalg
doesn't support tensors of custom types yet. Any conversion using this
added operation should be able to use the default operation from linalg
when it starts supporting tensor of custom types.
2022-02-24 09:44:26 +01:00
Quentin Bourgerie
b3368027d0
refactor(compiler): Move FHELinalg.zero to FHE.zero_tensor and add zero and sero_tensor in TFHE and Concrete dialects
2022-02-17 15:53:23 +01:00
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
Umut
4203e86998
feat: implement basic sum operation
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
7062052ca6
fix(compiler): Remove unused variables in lib/Dialect/TFHE/IR/TFHEOps.cpp
2022-01-07 12:03:13 +01:00
Andi Drebes
ce9d86014d
fix(compiler): Force same signedness of integers in _verifyGLWEIntegerOperator
2022-01-07 12:03:13 +01:00
Andi Drebes
d83a462e20
fix(compiler): Fix initialization order in constructor of MaxMANPPass
2022-01-07 12:03:13 +01:00
Andi Drebes
0b73586178
fix(compiler): Fix initialization order in constructor of MANPAnalysis
2022-01-07 12:03:13 +01:00
Andi Drebes
258480dab6
fix(compiler): Remove unused variable in lib/Dialect/FHE/Analysis/MANP.cpp
2022-01-07 12:03:13 +01:00
Andi Drebes
94f160eef1
fix(compiler): Remove unused variables in lib/Dialect/FHE/IR/FHEOps.cpp
2022-01-07 12:03:13 +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
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
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
rudy
5ed2dcb3c1
fix(compiler): MANP segfault bug in case of missing MANP value
2021-12-20 10:40:58 +01:00
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
Quentin Bourgerie
bb1add2a6f
enhance(compiler): Remove the restriction of analysis on the HLFHELinalg.dot
...
While the manp analysis wasn't handle tensor the dot operation restrict the operands to come from a block argument. Since the tensor are handled in the manp pass this restriction has no more meaning.
2021-12-07 11:17:33 +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
Quentin Bourgerie
ddbafd713d
feat(compiler): Add the HLFHELinalg.matmul_int_eint operator
2021-11-24 09:19:25 +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
5df775a51b
feat(compiler): MANP Analysis of HLFHELinalg.matmul ( closes #178 )
2021-11-12 16:50:29 +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
a888a6b329
typo: bad function name
2021-11-10 15:24:31 +01:00
youben11
99d6d11616
feat(compiler): support HLFHELinalg.neg_eint in MANP
2021-11-10 15:24:31 +01:00