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95 Commits

Author SHA1 Message Date
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
youben11
d9adbab036 feat(compiler): add HLFHELinalg.neg_eint op 2021-11-10 15:24:31 +01:00
youben11
efacd7d8a1 feat(compiler): support HLFHE.neg_eint in MANP 2021-11-10 15:24:31 +01:00
youben11
c1cd6bb380 feat(compiler): add MidLFHE.neg_glwe op 2021-11-10 15:24:06 +01:00
youben11
cc4e403e7a feat(compiler): add HLFHE.neg_eint op 2021-11-10 14:52:35 +01:00
rudy
97389a3b06 Move HLFHE.dot_eint_int to HLFHELinalg. 
Resolves #183
 2021-11-09 11:39:08 +01:00
youben11
03c1588db4 chore: update to LLVM 8b7cc93e 
major changes:
- https://llvm.discourse.group/t/psa-removed-arithmetic-ops-from-standard/4455
- use add_mlir_public_c_api_library helper to correctly add a CAPI library
 2021-10-29 16:08:41 +01:00
Quentin Bourgerie
5bb58453aa feat(compiler): MANP Analysis of HLFHELinalg.apply_lookup_table (close #175) 2021-10-29 13:47:38 +02:00
Quentin Bourgerie
2900c9a2a1 feat(compiler): Add support of HLFHELinalg binary operators in MANP pass (close #172) 2021-10-29 13:47:38 +02:00
Quentin Bourgerie
be92b4580d Merge branch 'master' into hlfhelinalg-binary-op-lowering 2021-10-29 13:47:35 +02:00
Andi Drebes
d4b4839d6e fix(compiler): Take into account function parameters in MaxMANPPass 
When determining the maximum MANP and precision, the `MaxMANPPass`
only takes into account results generated by an operation, but ignores
function parameters. However, encrypted function parameters are
assumed to have a MANP value of 1 and can have an arbitrary
precision. This patch takes into account function arguments by using
their default MANP values and the extracting their precision.
 2021-10-29 13:44:34 +02:00
Andi Drebes
0423a05db8 feat(compiler): Add support for tensor.extract operations in MANP pass 
Add support for `tensor.extract` operations in the MANP pass. This
currently only supports extract operations on tensors of encrypted
integers, which are passed as function arguments, e.g.:

 func @extract_ith(%t: tensor<10x!HLFHE.eint<5>>, %i: index) -> !HLFHE.eint<5>{
   %c = tensor.extract %t[%i] : tensor<10x!HLFHE.eint<5>>
   return %c : !HLFHE.eint<5>
 }
 2021-10-29 13:44:34 +02:00
Quentin Bourgerie
dea1be9d52 feat(compiler): HLFHELinalg.apply_lookup_table definition 2021-10-29 12:17:38 +02:00