Commit Graph

177 Commits

Author SHA1 Message Date
Nick Kreeger
30ceb783e2 [mlir][sparse] Expose SparseTensor passes as enums instead of opaque numbers for vectorization and parallelization options.
The SparseTensor passes currently use opaque numbers for the CLI, despite using an enum internally. This patch exposes the enums instead of numbered items that are matched back to the enum.

Fixes https://github.com/llvm/llvm-project/issues/53389

Differential Revision: https://reviews.llvm.org/D123876

Please also see:
https://reviews.llvm.org/D118379
https://reviews.llvm.org/D117919
2022-09-04 01:39:35 +00:00
Nick Kreeger
91470d6352 Revert "[mlir][sparse] Expose SparseTensor passes as enums instead of opaque"
This reverts commit ef25b5d93d.
2022-09-03 15:47:40 -05:00
Nick Kreeger
ef25b5d93d [mlir][sparse] Expose SparseTensor passes as enums instead of opaque
numbers for vectorization and parallelization options.

The SparseTensor passes currently use opaque numbers for the CLI,
despite using an enum internally. This patch exposes the enums instead
of numbered items that are matched back to the enum.

Fixes https://github.com/llvm/llvm-project/issues/53389

Differential Revision: https://reviews.llvm.org/D123876

Please also see:
https://reviews.llvm.org/D118379
https://reviews.llvm.org/D117919
2022-09-03 15:45:49 -05:00
Matthias Springer
3f914d84c3 [mlir][bufferize] Better error handling: Fail if ToMemrefOps are found
bufferization.to_memref ops are not supported in One-Shot Analysis. They often trigger a failed assertion that can be confusing. Instead, scan for to_memref ops before running the analysis and immediately abort with a proper error message.

Differential Revision: https://reviews.llvm.org/D132027
2022-08-18 11:37:57 +02:00
Jim Kitchen
c8bb23547f [mlir][sparse] Custom reduce with identity
Implement the new sparse_tensor.reduce operation which
accepts a starting identity value and a code block
describing how to perform the reduction.

Reviewed by: aartbik

Differential Revision: https://reviews.llvm.org/D130573
2022-08-17 11:21:46 -05:00
Peiming Liu
c248219b09 [mlir][sparse] Implements concatenate operation for sparse tensor
This patch implements the conversion rule for operation introduced in https://reviews.llvm.org/D131200.
Also contains integration test for correctness

Reviewed By: aartbik

Differential Revision: https://reviews.llvm.org/D131200
2022-08-16 20:47:47 +00:00
Aart Bik
8dd07e36ca [mlir][sparse] enable integral abs recognition
The end-to-end test for this new feature also exposed a bug
in LLVM IR lowering (since then, fixed), where we need to account
for the min-poison bit as extra argument.

    declare i32 @llvm.abs.i32(i32 <src>, i1 <is_int_min_poison>)

Reviewed By: bixia

Differential Revision: https://reviews.llvm.org/D131712
2022-08-12 11:36:40 -07:00
Benjamin Kramer
f695554a2a [mlir][sparse] Use the correct ABI on x86 and re-enable tests
c7ec6e19d5 made LLVM adhere to the x86
psABI and pass bf16 in SSE registers instead of GPRs. This breaks the
custom versions of runtime functions we have for bf16 conversion. A
great fix for this would be to use __bf16 types instead which carry the
right ABI, but that type isn't widely available.

Instead just pretend it's a 32 bit float on the ABI boundary and
carefully cast it to the right type.

Fixes #57042
2022-08-11 10:41:53 +02:00
Aart Bik
6b7459115f [mlir][sparse][bf16] disable two bf16 tests
Supposedly our ABI issues were fixed, per issue:
https://github.com/llvm/llvm-project/issues/55992

However, with a recent changes to bf16, these tests
fail again; not sure why yet:
https://reviews.llvm.org/D130832
https://lab.llvm.org/buildbot/#/builders/61/builds/30600

So we disable the tests for now. Issue is tracked in:
https://github.com/llvm/llvm-project/issues/57042

Differential Revision: https://reviews.llvm.org/D131621
2022-08-10 15:50:27 -07:00
Rajas Vanjape
333f98b4b6 [mlir][sparse][nfc] Use tensor.generate in sparse integration tests
Currently, dense tensors are initialized in Sparse Integration tests using
"buffer.tensor_alloc and scf.for" . This makes code harder to read and maintain.
This diff uses tensor.generate instead to initialize dense tensors.

Testing: Ran integration tests after building with -DLLVM_USE_SANITIZER=Address flag.

Reviewed By: springerm

Differential Revision: https://reviews.llvm.org/D131404
2022-08-08 16:44:45 +00:00
Aart Bik
ce3d0e87ac [mlir][sparse] enable SDDMM-flavored fusion
This rewriting was no longer functional after recent migration to one shot
bufferization. However, this revision makes it work again, with a CHECK test
to ensure fusion happens. Note that functionality is tested by several
integration tests.

Reviewed By: Peiming

Differential Revision: https://reviews.llvm.org/D130996
2022-08-02 12:40:04 -07:00
Aart Bik
3b9bee1651 [mlir][sparse] fix asan leak of two sparse vectors
Reviewed By: Peiming

Differential Revision: https://reviews.llvm.org/D130914
2022-08-01 10:55:20 -07:00
Anlun Xu
c01e622120 [mlir][sparse]Add more test cases for sparse reshape
Add more test cases for sparse reshape

Reviewed By: Peiming

Differential Revision: https://reviews.llvm.org/D130603
2022-07-29 16:42:48 -07:00
bixia1
66088afbc8 [mlir][sparse] Add arith-expand pass to the sparse-compiler pipeline.
Modify an existing test to test the situation.

Reviewed By: Peiming

Differential Revision: https://reviews.llvm.org/D130658
2022-07-27 14:42:21 -07:00
Peiming Liu
bf59cd320e [mlir][sparse] fix error when sparse kernel is nested in a scf structrual operator.
Sparse compiler failed on the provided test (when the sparse kernel is nested in a scf structrual operator).

Reviewed By: bixia

Differential Revision: https://reviews.llvm.org/D130609
2022-07-27 16:12:23 +00:00
Rajas Vanjape
d146b51162 [mlir][sparse][nfc] Fix memory leak in sparse sampled matmul integration test
https://reviews.llvm.org/D130023 added a memory leak in sparse_sampled_matmul.mlir
This diff fixes the memory leak.

Testing: Ran integration tests after building with -DLLVM_USE_SANITIZER=Address flag.

Reviewed By: springerm

Differential Revision: https://reviews.llvm.org/D130428
2022-07-25 08:55:12 +00:00
Matthias Springer
106d695287 [mlir][sparse][NFC] Update remaining test cases
No more to_memref, memref.alloc or memref.dealloc when possible.

Differential Revision: https://reviews.llvm.org/D130023
2022-07-19 09:21:10 +02:00
Matthias Springer
27a431f5e9 [mlir][bufferization][NFC] Move sparse_tensor.release to bufferization dialect
This op used to belong to the sparse dialect, but there are use cases for dense bufferization as well. (E.g., when a tensor alloc is returned from a function and should be deallocated at the call site.) This change moves the op to the bufferization dialect, which now has an `alloc_tensor` and a `dealloc_tensor` op.

Differential Revision: https://reviews.llvm.org/D129985
2022-07-19 09:18:19 +02:00
Stella Laurenzo
beebffa9ab [NFC] Remove obsolete all_passes_registration from integration tests.
After https://reviews.llvm.org/D128593 this is not needed (and not available). Was missed in original landing because integration tests do not run on pre-merge.
2022-07-16 18:18:43 -07:00
Matthias Springer
afb1def876 [mli][sparse] Remove manual dense dealloc from test case
Differential Revision: https://reviews.llvm.org/D129834
2022-07-16 09:28:27 +02:00
Rajas Vanjape
1976ad70c5 [mlir][sparse] Add 3-dimensional sparse tensor multiplication integration test
This diff adds an integration test which does element wise multiplication for two sparse 3-d tensors of size 3x3x5

Reviewed By: aartbik

Differential Revision: https://reviews.llvm.org/D129638
2022-07-15 12:12:51 -07:00
Aart Bik
f30822d29c [mlir][sparse][bufferization] fix a few memory leaks
Fixed some new memory leaks after migration to new
bufferization. One is expected, the other may need
some more careful analysis.

Reviewed By: jpienaar

Differential Revision: https://reviews.llvm.org/D129805
2022-07-14 15:05:12 -07:00
Aart Bik
67564841cb [mlir][sparse][bufferization] initialize reduction variable
After recent bufferization improvement, this test
started failing due to missed zero initialization.

Reviewed By: jpienaar

Differential Revision: https://reviews.llvm.org/D129800
2022-07-14 13:58:23 -07:00
Matthias Springer
c66303c287 [mlir][sparse] Switch to One-Shot Bufferize
This change removes the partial bufferization passes from the sparse compilation pipeline and replaces them with One-Shot Bufferize. One-Shot Analysis (and TensorCopyInsertion) is used to resolve all out-of-place bufferizations, dense and sparse. Dense ops are then bufferized with BufferizableOpInterface. Sparse ops are still bufferized in the Sparsification pass.

Details:
* Dense allocations are automatically deallocated, unless they are yielded from a block. (In that case the alloc would leak.) All test cases are modified accordingly. E.g., some funcs now have an "out" tensor argument that is returned from the function. (That way, the allocation happens at the call site.)
* Sparse allocations are *not* automatically deallocated. They must be "released" manually. (No change, this will be addressed in a future change.)
* Sparse tensor copies are not supported yet. (Future change)
* Sparsification no longer has to consider inplacability. If necessary, allocations and/or copies are inserted during TensorCopyInsertion. All tensors are inplaceable by the time Sparsification is running. Instead of marking a tensor as "not inplaceable", it can be marked as "not writable", which will trigger an allocation and/or copy during TensorCopyInsertion.

Differential Revision: https://reviews.llvm.org/D129356
2022-07-14 09:52:48 +02:00
Anlun Xu
033b9f21b0 [mlir][sparse]Replace redundant indices checks in sparse_tensor.conversion
Replace some redundant indices checks with the correct checks

Reviewed By: aartbik

Differential Revision: https://reviews.llvm.org/D129101
2022-07-12 21:04:31 -07:00
Aart Bik
faa00c1313 [mlir][sparse] implement sparse2sparse reshaping (expand/collapse)
A previous revision implemented expand/collapse reshaping between
dense and sparse tensors for sparse2dense and dense2sparse since those
could use the "cheap" view reshape on the already materialized
dense tensor (at either the input or output side), and do some
reshuffling from or to sparse. The dense2dense case, as always,
is handled with a "cheap" view change.

This revision implements the sparse2sparse cases. Lacking any "view"
support on sparse tensors this operation necessarily has to perform
data reshuffling on both ends.

Tracker for improving this:
https://github.com/llvm/llvm-project/issues/56477

Reviewed By: bixia

Differential Revision: https://reviews.llvm.org/D129416
2022-07-11 14:49:06 -07:00
Aart Bik
6d8e2f1e51 [mlir][sparse] implement simple reshaping (expand/collapse)
The revision makes a start with implementing expand/collapse reshaping
for sparse tensors. When either source or destination is sparse, but
other is dense, the "cheap" dense reshape can be used prior to converting
from or to a sparse tensor.

Note1
sparse to sparse reshaping is still TBD.

Note2
in the long run, we may want to implement a "view" into a sparse tensor so that the operation remains cheap and does not require data shuffling

Reviewed By: wrengr

Differential Revision: https://reviews.llvm.org/D129031
2022-07-06 14:34:30 -07:00
Aart Bik
e057f25dee [mlir][sparse] auto-insertion of conversion to resolve cycles
When the iteration graph is cyclic (even after several attempts using less and less constraints), the current sparse compiler bails out, and no rewriting hapens. However, this revision adds some new logic where the sparse compiler tries to find a single input sparse tensor that breaks the cycle, and then adds a proper sparse conversion operation. This way, more incoming kernels can be handled!

Note, the resulting code is not optimal (although it keeps more or less proper "sparse" complexity), and more improvements should be added (especially when the kernel directly yields without computation, such as the transpose example). However, handling is better than not handling ;-)

Reviewed By: bixia

Differential Revision: https://reviews.llvm.org/D128847
2022-06-29 18:28:18 -07:00
Aart Bik
4db52450c1 [mlir][sparse] remove redundant whitespace
Reviewed By: Peiming

Differential Revision: https://reviews.llvm.org/D128673
2022-06-27 11:57:08 -07:00
Peiming Liu
15d1cb4520 [mlir][sparse]more integration test cases for sparse_tensor.BinaryOp
Adding more test cases for sparse_tensor.BinaryOp, including different cases when overlap/left/right region is implemented/empty/identity

Reviewed By: aartbik

Differential Revision: https://reviews.llvm.org/D128383
2022-06-27 11:29:27 -07:00
Peiming Liu
057e33ef36 [mlir][sparse]Add more integration tests for sparse_tensor.unary
Previously, the sparse_tensor.unary integration test does not contain cases with the use of `linalg.index` (previoulsy unsupported), this commit adds test cases that use `linalg.index` operators.

Reviewed By: aartbik

Differential Revision: https://reviews.llvm.org/D128460
2022-06-27 10:58:47 -07:00
Aart Bik
9e6261edc0 [mlir][sparse] fix typo in CHECK test
Thanks Peiming for reporting!

Reviewed By: Peiming

Differential Revision: https://reviews.llvm.org/D128308
2022-06-22 09:43:32 -07:00
bixia1
bdeae1f57b [mlir][sparse][taco] Support f16.
Reviewed By: aartbik

Differential Revision: https://reviews.llvm.org/D128105
2022-06-21 09:08:26 -07:00
bixia1
e5e7e51473 [mlir][sparse][taco] Support complex types.
Support complex types of float and double. See the added test for an example.

Reviewed By: aartbik

Differential Revision: https://reviews.llvm.org/D128076
2022-06-17 16:06:53 -07:00
Benjamin Kramer
3420cd7caf [mlir][sparse] Add testing for bf16 and fallback for software bf16
This adds weak versions of the truncation libcalls in case the runtime
environment doesn't have them.

Differential Revision: https://reviews.llvm.org/D128091
2022-06-17 21:54:01 +02:00
Aart Bik
86d5d34c72 [mlir][sparse] renable f16 tests
Sparse library ABI issues are fixed.

https://github.com/llvm/llvm-project/issues/55992

Reviewed By: bkramer

Differential Revision: https://reviews.llvm.org/D128086
2022-06-17 12:48:24 -07:00
Phoebe Wang
655ba9c8a1 Reland "Reland "Reland "Reland "[X86][RFC] Enable _Float16 type support on X86 following the psABI""""
This resolves problems reported in commit 1a20252978.
1. Promote to float lowering for nodes XINT_TO_FP
2. Bail out f16 from shuffle combine due to vector type is not legal in the version
2022-06-17 21:34:05 +08:00
Benjamin Kramer
1a20252978 Revert "Reland "Reland "Reland "[X86][RFC] Enable _Float16 type support on X86 following the psABI""""
This reverts commit 04a3d5f3a1.

I see two more issues:

- uitofp/sitofp from i32/i64 to half now generates
  __floatsihf/__floatdihf, which exists in neither compiler-rt nor
  libgcc

- This crashes when legalizing the bitcast:
```
; RUN: llc < %s -mcpu=skx
define void @main.45(ptr nocapture readnone %retval, ptr noalias nocapture readnone %run_options, ptr noalias nocapture readnone %params, ptr noalias nocapture readonly %buffer_table, ptr noalias nocapture readnone %status, ptr noalias nocapture readnone %prof_counters) local_unnamed_addr {
entry:
  %fusion = load ptr, ptr %buffer_table, align 8
  %0 = getelementptr inbounds ptr, ptr %buffer_table, i64 1
  %Arg_1.2 = load ptr, ptr %0, align 8
  %1 = getelementptr inbounds ptr, ptr %buffer_table, i64 2
  %Arg_0.1 = load ptr, ptr %1, align 8
  %2 = load half, ptr %Arg_0.1, align 8
  %3 = bitcast half %2 to i16
  %4 = and i16 %3, 32767
  %5 = icmp eq i16 %4, 0
  %6 = and i16 %3, -32768
  %broadcast.splatinsert = insertelement <4 x half> poison, half %2, i64 0
  %broadcast.splat = shufflevector <4 x half> %broadcast.splatinsert, <4 x half> poison, <4 x i32> zeroinitializer
  %broadcast.splatinsert9 = insertelement <4 x i16> poison, i16 %4, i64 0
  %broadcast.splat10 = shufflevector <4 x i16> %broadcast.splatinsert9, <4 x i16> poison, <4 x i32> zeroinitializer
  %broadcast.splatinsert11 = insertelement <4 x i16> poison, i16 %6, i64 0
  %broadcast.splat12 = shufflevector <4 x i16> %broadcast.splatinsert11, <4 x i16> poison, <4 x i32> zeroinitializer
  %broadcast.splatinsert13 = insertelement <4 x i16> poison, i16 %3, i64 0
  %broadcast.splat14 = shufflevector <4 x i16> %broadcast.splatinsert13, <4 x i16> poison, <4 x i32> zeroinitializer
  %wide.load = load <4 x half>, ptr %Arg_1.2, align 8
  %7 = fcmp uno <4 x half> %broadcast.splat, %wide.load
  %8 = fcmp oeq <4 x half> %broadcast.splat, %wide.load
  %9 = bitcast <4 x half> %wide.load to <4 x i16>
  %10 = and <4 x i16> %9, <i16 32767, i16 32767, i16 32767, i16 32767>
  %11 = icmp eq <4 x i16> %10, zeroinitializer
  %12 = and <4 x i16> %9, <i16 -32768, i16 -32768, i16 -32768, i16 -32768>
  %13 = or <4 x i16> %12, <i16 1, i16 1, i16 1, i16 1>
  %14 = select <4 x i1> %11, <4 x i16> %9, <4 x i16> %13
  %15 = icmp ugt <4 x i16> %broadcast.splat10, %10
  %16 = icmp ne <4 x i16> %broadcast.splat12, %12
  %17 = or <4 x i1> %15, %16
  %18 = select <4 x i1> %17, <4 x i16> <i16 -1, i16 -1, i16 -1, i16 -1>, <4 x i16> <i16 1, i16 1, i16 1, i16 1>
  %19 = add <4 x i16> %18, %broadcast.splat14
  %20 = select i1 %5, <4 x i16> %14, <4 x i16> %19
  %21 = select <4 x i1> %8, <4 x i16> %9, <4 x i16> %20
  %22 = bitcast <4 x i16> %21 to <4 x half>
  %23 = select <4 x i1> %7, <4 x half> <half 0xH7E00, half 0xH7E00, half 0xH7E00, half 0xH7E00>, <4 x half> %22
  store <4 x half> %23, ptr %fusion, align 16
  ret void
}
```

llc: llvm/lib/CodeGen/SelectionDAG/LegalizeDAG.cpp:977: void (anonymous namespace)::SelectionDAGLegalize::LegalizeOp(llvm::SDNode *): Assertion `(TLI.getTypeAction(*DAG.getContext(), Op.getValueType()) == TargetLowering::TypeLegal || Op.getOpcode() == ISD::TargetConstant || Op.getOpcode() == ISD::Register) && "Unexpected illegal type!"' failed.
2022-06-17 09:43:07 +02:00
Phoebe Wang
04a3d5f3a1 Reland "Reland "Reland "[X86][RFC] Enable _Float16 type support on X86 following the psABI"""
Fix the crash on lowering X86ISD::FCMP.
2022-06-17 12:12:17 +08:00
Aart Bik
2a2886160d [mlir][sparse] improved testing and codegen for semi-ring operations
The semi-ring blocks were simply "inlined" by the sparse compiler but
without any filtering or patching. This revision improves the analysis
(rejecting blocks that use non-invariant computations from outside
their blocks, except for linalg.index) and also improves the codegen
by properly patching up index computations (previous version crashed).

With a regression test. Also updated the documentation now that the
example code is properly working.

Reviewed By: bixia

Differential Revision: https://reviews.llvm.org/D128000
2022-06-16 16:13:42 -07:00
Aart Bik
36c01876d7 [mlir][sparse] fix asan issue
The LinalgElementwiseOpFusion pass has become smarter, and converts
the simple conversion linalg operation into a sparse dialect convert
operation. However, since our current bufferization does not take the
new semantics into consideration, we leak memory of the allocation.
For now, this has been fixed by making the operation less trivial.

Reviewed By: bixia

Differential Revision: https://reviews.llvm.org/D128002
2022-06-16 14:49:02 -07:00
Frederik Gossen
3cd5696a33 Revert "Reland "Reland "[X86][RFC] Enable _Float16 type support on X86 following the psABI"""
This reverts commit e1c5afa47d.

This introduces crashes in the JAX backend on CPU. A reproducer in LLVM is
below. Let me know if you have trouble reproducing this.

; ModuleID = '__compute_module'
source_filename = "__compute_module"
target datalayout = "e-m:e-p270:32:32-p271:32:32-p272:64:64-i64:64-f80:128-n8:16:32:64-S128"
target triple = "x86_64-grtev4-linux-gnu"

@0 = private unnamed_addr constant [4 x i8] c"\00\00\00?"
@1 = private unnamed_addr constant [4 x i8] c"\1C}\908"
@2 = private unnamed_addr constant [4 x i8] c"?\00\\4"
@3 = private unnamed_addr constant [4 x i8] c"%ci1"
@4 = private unnamed_addr constant [4 x i8] zeroinitializer
@5 = private unnamed_addr constant [4 x i8] c"\00\00\00\C0"
@6 = private unnamed_addr constant [4 x i8] c"\00\00\00B"
@7 = private unnamed_addr constant [4 x i8] c"\94\B4\C22"
@8 = private unnamed_addr constant [4 x i8] c"^\09B6"
@9 = private unnamed_addr constant [4 x i8] c"\15\F3M?"
@10 = private unnamed_addr constant [4 x i8] c"e\CC\\;"
@11 = private unnamed_addr constant [4 x i8] c"d\BD/>"
@12 = private unnamed_addr constant [4 x i8] c"V\F4I="
@13 = private unnamed_addr constant [4 x i8] c"\10\CB,<"
@14 = private unnamed_addr constant [4 x i8] c"\AC\E3\D6:"
@15 = private unnamed_addr constant [4 x i8] c"\DC\A8E9"
@16 = private unnamed_addr constant [4 x i8] c"\C6\FA\897"
@17 = private unnamed_addr constant [4 x i8] c"%\F9\955"
@18 = private unnamed_addr constant [4 x i8] c"\B5\DB\813"
@19 = private unnamed_addr constant [4 x i8] c"\B4W_\B2"
@20 = private unnamed_addr constant [4 x i8] c"\1Cc\8F\B4"
@21 = private unnamed_addr constant [4 x i8] c"~3\94\B6"
@22 = private unnamed_addr constant [4 x i8] c"3Yq\B8"
@23 = private unnamed_addr constant [4 x i8] c"\E9\17\17\BA"
@24 = private unnamed_addr constant [4 x i8] c"\F1\B2\8D\BB"
@25 = private unnamed_addr constant [4 x i8] c"\F8t\C2\BC"
@26 = private unnamed_addr constant [4 x i8] c"\82[\C2\BD"
@27 = private unnamed_addr constant [4 x i8] c"uB-?"
@28 = private unnamed_addr constant [4 x i8] c"^\FF\9B\BE"
@29 = private unnamed_addr constant [4 x i8] c"\00\00\00A"

; Function Attrs: uwtable
define void @main.158(ptr %retval, ptr noalias %run_options, ptr noalias %params, ptr noalias %buffer_table, ptr noalias %status, ptr noalias %prof_counters) #0 {
entry:
  %fusion.invar_address.dim.1 = alloca i64, align 8
  %fusion.invar_address.dim.0 = alloca i64, align 8
  %0 = getelementptr inbounds ptr, ptr %buffer_table, i64 1
  %Arg_0.1 = load ptr, ptr %0, align 8, !invariant.load !0, !dereferenceable !1, !align !2
  %1 = getelementptr inbounds ptr, ptr %buffer_table, i64 0
  %fusion = load ptr, ptr %1, align 8, !invariant.load !0, !dereferenceable !1, !align !2
  store i64 0, ptr %fusion.invar_address.dim.0, align 8
  br label %fusion.loop_header.dim.0

return:                                           ; preds = %fusion.loop_exit.dim.0
  ret void

fusion.loop_header.dim.0:                         ; preds = %fusion.loop_exit.dim.1, %entry
  %fusion.indvar.dim.0 = load i64, ptr %fusion.invar_address.dim.0, align 8
  %2 = icmp uge i64 %fusion.indvar.dim.0, 3
  br i1 %2, label %fusion.loop_exit.dim.0, label %fusion.loop_body.dim.0

fusion.loop_body.dim.0:                           ; preds = %fusion.loop_header.dim.0
  store i64 0, ptr %fusion.invar_address.dim.1, align 8
  br label %fusion.loop_header.dim.1

fusion.loop_header.dim.1:                         ; preds = %fusion.loop_body.dim.1, %fusion.loop_body.dim.0
  %fusion.indvar.dim.1 = load i64, ptr %fusion.invar_address.dim.1, align 8
  %3 = icmp uge i64 %fusion.indvar.dim.1, 1
  br i1 %3, label %fusion.loop_exit.dim.1, label %fusion.loop_body.dim.1

fusion.loop_body.dim.1:                           ; preds = %fusion.loop_header.dim.1
  %4 = getelementptr inbounds [3 x [1 x half]], ptr %Arg_0.1, i64 0, i64 %fusion.indvar.dim.0, i64 0
  %5 = load half, ptr %4, align 2, !invariant.load !0, !noalias !3
  %6 = fpext half %5 to float
  %7 = call float @llvm.fabs.f32(float %6)
  %constant.121 = load float, ptr @29, align 4
  %compare.2 = fcmp ole float %7, %constant.121
  %8 = zext i1 %compare.2 to i8
  %constant.120 = load float, ptr @0, align 4
  %multiply.95 = fmul float %7, %constant.120
  %constant.119 = load float, ptr @5, align 4
  %add.82 = fadd float %multiply.95, %constant.119
  %constant.118 = load float, ptr @4, align 4
  %multiply.94 = fmul float %add.82, %constant.118
  %constant.117 = load float, ptr @19, align 4
  %add.81 = fadd float %multiply.94, %constant.117
  %multiply.92 = fmul float %add.82, %add.81
  %constant.116 = load float, ptr @18, align 4
  %add.79 = fadd float %multiply.92, %constant.116
  %multiply.91 = fmul float %add.82, %add.79
  %subtract.87 = fsub float %multiply.91, %add.81
  %constant.115 = load float, ptr @20, align 4
  %add.78 = fadd float %subtract.87, %constant.115
  %multiply.89 = fmul float %add.82, %add.78
  %subtract.86 = fsub float %multiply.89, %add.79
  %constant.114 = load float, ptr @17, align 4
  %add.76 = fadd float %subtract.86, %constant.114
  %multiply.88 = fmul float %add.82, %add.76
  %subtract.84 = fsub float %multiply.88, %add.78
  %constant.113 = load float, ptr @21, align 4
  %add.75 = fadd float %subtract.84, %constant.113
  %multiply.86 = fmul float %add.82, %add.75
  %subtract.83 = fsub float %multiply.86, %add.76
  %constant.112 = load float, ptr @16, align 4
  %add.73 = fadd float %subtract.83, %constant.112
  %multiply.85 = fmul float %add.82, %add.73
  %subtract.81 = fsub float %multiply.85, %add.75
  %constant.111 = load float, ptr @22, align 4
  %add.72 = fadd float %subtract.81, %constant.111
  %multiply.83 = fmul float %add.82, %add.72
  %subtract.80 = fsub float %multiply.83, %add.73
  %constant.110 = load float, ptr @15, align 4
  %add.70 = fadd float %subtract.80, %constant.110
  %multiply.82 = fmul float %add.82, %add.70
  %subtract.78 = fsub float %multiply.82, %add.72
  %constant.109 = load float, ptr @23, align 4
  %add.69 = fadd float %subtract.78, %constant.109
  %multiply.80 = fmul float %add.82, %add.69
  %subtract.77 = fsub float %multiply.80, %add.70
  %constant.108 = load float, ptr @14, align 4
  %add.68 = fadd float %subtract.77, %constant.108
  %multiply.79 = fmul float %add.82, %add.68
  %subtract.75 = fsub float %multiply.79, %add.69
  %constant.107 = load float, ptr @24, align 4
  %add.67 = fadd float %subtract.75, %constant.107
  %multiply.77 = fmul float %add.82, %add.67
  %subtract.74 = fsub float %multiply.77, %add.68
  %constant.106 = load float, ptr @13, align 4
  %add.66 = fadd float %subtract.74, %constant.106
  %multiply.76 = fmul float %add.82, %add.66
  %subtract.72 = fsub float %multiply.76, %add.67
  %constant.105 = load float, ptr @25, align 4
  %add.65 = fadd float %subtract.72, %constant.105
  %multiply.74 = fmul float %add.82, %add.65
  %subtract.71 = fsub float %multiply.74, %add.66
  %constant.104 = load float, ptr @12, align 4
  %add.64 = fadd float %subtract.71, %constant.104
  %multiply.73 = fmul float %add.82, %add.64
  %subtract.69 = fsub float %multiply.73, %add.65
  %constant.103 = load float, ptr @26, align 4
  %add.63 = fadd float %subtract.69, %constant.103
  %multiply.71 = fmul float %add.82, %add.63
  %subtract.67 = fsub float %multiply.71, %add.64
  %constant.102 = load float, ptr @11, align 4
  %add.62 = fadd float %subtract.67, %constant.102
  %multiply.70 = fmul float %add.82, %add.62
  %subtract.66 = fsub float %multiply.70, %add.63
  %constant.101 = load float, ptr @28, align 4
  %add.61 = fadd float %subtract.66, %constant.101
  %multiply.68 = fmul float %add.82, %add.61
  %subtract.65 = fsub float %multiply.68, %add.62
  %constant.100 = load float, ptr @27, align 4
  %add.60 = fadd float %subtract.65, %constant.100
  %subtract.64 = fsub float %add.60, %add.62
  %multiply.66 = fmul float %subtract.64, %constant.120
  %constant.99 = load float, ptr @6, align 4
  %divide.4 = fdiv float %constant.99, %7
  %add.59 = fadd float %divide.4, %constant.119
  %multiply.65 = fmul float %add.59, %constant.118
  %constant.98 = load float, ptr @3, align 4
  %add.58 = fadd float %multiply.65, %constant.98
  %multiply.64 = fmul float %add.59, %add.58
  %constant.97 = load float, ptr @7, align 4
  %add.57 = fadd float %multiply.64, %constant.97
  %multiply.63 = fmul float %add.59, %add.57
  %subtract.63 = fsub float %multiply.63, %add.58
  %constant.96 = load float, ptr @2, align 4
  %add.56 = fadd float %subtract.63, %constant.96
  %multiply.62 = fmul float %add.59, %add.56
  %subtract.62 = fsub float %multiply.62, %add.57
  %constant.95 = load float, ptr @8, align 4
  %add.55 = fadd float %subtract.62, %constant.95
  %multiply.61 = fmul float %add.59, %add.55
  %subtract.61 = fsub float %multiply.61, %add.56
  %constant.94 = load float, ptr @1, align 4
  %add.54 = fadd float %subtract.61, %constant.94
  %multiply.60 = fmul float %add.59, %add.54
  %subtract.60 = fsub float %multiply.60, %add.55
  %constant.93 = load float, ptr @10, align 4
  %add.53 = fadd float %subtract.60, %constant.93
  %multiply.59 = fmul float %add.59, %add.53
  %subtract.59 = fsub float %multiply.59, %add.54
  %constant.92 = load float, ptr @9, align 4
  %add.52 = fadd float %subtract.59, %constant.92
  %subtract.58 = fsub float %add.52, %add.54
  %multiply.58 = fmul float %subtract.58, %constant.120
  %9 = call float @llvm.sqrt.f32(float %7)
  %10 = fdiv float 1.000000e+00, %9
  %multiply.57 = fmul float %multiply.58, %10
  %11 = trunc i8 %8 to i1
  %12 = select i1 %11, float %multiply.66, float %multiply.57
  %13 = fptrunc float %12 to half
  %14 = getelementptr inbounds [3 x [1 x half]], ptr %fusion, i64 0, i64 %fusion.indvar.dim.0, i64 0
  store half %13, ptr %14, align 2, !alias.scope !3
  %invar.inc1 = add nuw nsw i64 %fusion.indvar.dim.1, 1
  store i64 %invar.inc1, ptr %fusion.invar_address.dim.1, align 8
  br label %fusion.loop_header.dim.1

fusion.loop_exit.dim.1:                           ; preds = %fusion.loop_header.dim.1
  %invar.inc = add nuw nsw i64 %fusion.indvar.dim.0, 1
  store i64 %invar.inc, ptr %fusion.invar_address.dim.0, align 8
  br label %fusion.loop_header.dim.0

fusion.loop_exit.dim.0:                           ; preds = %fusion.loop_header.dim.0
  br label %return
}

; Function Attrs: nocallback nofree nosync nounwind readnone speculatable willreturn
declare float @llvm.fabs.f32(float %0) #1

; Function Attrs: nocallback nofree nosync nounwind readnone speculatable willreturn
declare float @llvm.sqrt.f32(float %0) #1

attributes #0 = { uwtable "denormal-fp-math"="preserve-sign" "no-frame-pointer-elim"="false" }
attributes #1 = { nocallback nofree nosync nounwind readnone speculatable willreturn }

!0 = !{}
!1 = !{i64 6}
!2 = !{i64 8}
!3 = !{!4}
!4 = !{!"buffer: {index:0, offset:0, size:6}", !5}
!5 = !{!"XLA global AA domain"}
2022-06-15 18:04:42 -04:00
Phoebe Wang
e1c5afa47d Reland "Reland "[X86][RFC] Enable _Float16 type support on X86 following the psABI""
Fixed the missing SQRT promotion. Adding several missing operations too.
2022-06-15 23:00:18 +08:00
Thomas Joerg
37455b1f71 Revert "Reland "[X86][RFC] Enable _Float16 type support on X86 following the psABI""
This reverts commit 6e02e27536.

This introduces a crash in the backend. Reproducer in MLIR's LLVM
dialect follows. Let me know if you have trouble reproducing this.

module {
  llvm.func @malloc(i64) -> !llvm.ptr<i8>
  llvm.func @_mlir_ciface_tf_report_error(!llvm.ptr<i8>, i32, !llvm.ptr<i8>)
  llvm.mlir.global internal constant @error_message_2208944672953921889("failed to allocate memory at loc(\22-\22:3:8)\00")
  llvm.func @_mlir_ciface_tf_alloc(!llvm.ptr<i8>, i64, i64, i32, i32, !llvm.ptr<i32>) -> !llvm.ptr<i8>
  llvm.func @Rsqrt_CPU_DT_HALF_DT_HALF(%arg0: !llvm.ptr<i8>, %arg1: i64, %arg2: !llvm.ptr<i8>) -> !llvm.struct<(i64, ptr<i8>)> attributes {llvm.emit_c_interface, tf_entry} {
    %0 = llvm.mlir.constant(8 : i32) : i32
    %1 = llvm.mlir.constant(8 : index) : i64
    %2 = llvm.mlir.constant(2 : index) : i64
    %3 = llvm.mlir.constant(dense<0.000000e+00> : vector<4xf16>) : vector<4xf16>
    %4 = llvm.mlir.constant(dense<[0, 1, 2, 3]> : vector<4xi32>) : vector<4xi32>
    %5 = llvm.mlir.constant(dense<1.000000e+00> : vector<4xf16>) : vector<4xf16>
    %6 = llvm.mlir.constant(false) : i1
    %7 = llvm.mlir.constant(1 : i32) : i32
    %8 = llvm.mlir.constant(0 : i32) : i32
    %9 = llvm.mlir.constant(4 : index) : i64
    %10 = llvm.mlir.constant(0 : index) : i64
    %11 = llvm.mlir.constant(1 : index) : i64
    %12 = llvm.mlir.constant(-1 : index) : i64
    %13 = llvm.mlir.null : !llvm.ptr<f16>
    %14 = llvm.getelementptr %13[%9] : (!llvm.ptr<f16>, i64) -> !llvm.ptr<f16>
    %15 = llvm.ptrtoint %14 : !llvm.ptr<f16> to i64
    %16 = llvm.alloca %15 x f16 {alignment = 32 : i64} : (i64) -> !llvm.ptr<f16>
    %17 = llvm.alloca %15 x f16 {alignment = 32 : i64} : (i64) -> !llvm.ptr<f16>
    %18 = llvm.mlir.null : !llvm.ptr<i64>
    %19 = llvm.getelementptr %18[%arg1] : (!llvm.ptr<i64>, i64) -> !llvm.ptr<i64>
    %20 = llvm.ptrtoint %19 : !llvm.ptr<i64> to i64
    %21 = llvm.alloca %20 x i64 : (i64) -> !llvm.ptr<i64>
    llvm.br ^bb1(%10 : i64)
  ^bb1(%22: i64):  // 2 preds: ^bb0, ^bb2
    %23 = llvm.icmp "slt" %22, %arg1 : i64
    llvm.cond_br %23, ^bb2, ^bb3
  ^bb2:  // pred: ^bb1
    %24 = llvm.bitcast %arg2 : !llvm.ptr<i8> to !llvm.ptr<struct<(ptr<f16>, ptr<f16>, i64)>>
    %25 = llvm.getelementptr %24[%10, 2] : (!llvm.ptr<struct<(ptr<f16>, ptr<f16>, i64)>>, i64) -> !llvm.ptr<i64>
    %26 = llvm.add %22, %11  : i64
    %27 = llvm.getelementptr %25[%26] : (!llvm.ptr<i64>, i64) -> !llvm.ptr<i64>
    %28 = llvm.load %27 : !llvm.ptr<i64>
    %29 = llvm.getelementptr %21[%22] : (!llvm.ptr<i64>, i64) -> !llvm.ptr<i64>
    llvm.store %28, %29 : !llvm.ptr<i64>
    llvm.br ^bb1(%26 : i64)
  ^bb3:  // pred: ^bb1
    llvm.br ^bb4(%10, %11 : i64, i64)
  ^bb4(%30: i64, %31: i64):  // 2 preds: ^bb3, ^bb5
    %32 = llvm.icmp "slt" %30, %arg1 : i64
    llvm.cond_br %32, ^bb5, ^bb6
  ^bb5:  // pred: ^bb4
    %33 = llvm.bitcast %arg2 : !llvm.ptr<i8> to !llvm.ptr<struct<(ptr<f16>, ptr<f16>, i64)>>
    %34 = llvm.getelementptr %33[%10, 2] : (!llvm.ptr<struct<(ptr<f16>, ptr<f16>, i64)>>, i64) -> !llvm.ptr<i64>
    %35 = llvm.add %30, %11  : i64
    %36 = llvm.getelementptr %34[%35] : (!llvm.ptr<i64>, i64) -> !llvm.ptr<i64>
    %37 = llvm.load %36 : !llvm.ptr<i64>
    %38 = llvm.mul %37, %31  : i64
    llvm.br ^bb4(%35, %38 : i64, i64)
  ^bb6:  // pred: ^bb4
    %39 = llvm.bitcast %arg2 : !llvm.ptr<i8> to !llvm.ptr<ptr<f16>>
    %40 = llvm.getelementptr %39[%11] : (!llvm.ptr<ptr<f16>>, i64) -> !llvm.ptr<ptr<f16>>
    %41 = llvm.load %40 : !llvm.ptr<ptr<f16>>
    %42 = llvm.getelementptr %13[%11] : (!llvm.ptr<f16>, i64) -> !llvm.ptr<f16>
    %43 = llvm.ptrtoint %42 : !llvm.ptr<f16> to i64
    %44 = llvm.alloca %7 x i32 : (i32) -> !llvm.ptr<i32>
    llvm.store %8, %44 : !llvm.ptr<i32>
    %45 = llvm.call @_mlir_ciface_tf_alloc(%arg0, %31, %43, %8, %7, %44) : (!llvm.ptr<i8>, i64, i64, i32, i32, !llvm.ptr<i32>) -> !llvm.ptr<i8>
    %46 = llvm.bitcast %45 : !llvm.ptr<i8> to !llvm.ptr<f16>
    %47 = llvm.icmp "eq" %31, %10 : i64
    %48 = llvm.or %6, %47  : i1
    %49 = llvm.mlir.null : !llvm.ptr<i8>
    %50 = llvm.icmp "ne" %45, %49 : !llvm.ptr<i8>
    %51 = llvm.or %50, %48  : i1
    llvm.cond_br %51, ^bb7, ^bb13
  ^bb7:  // pred: ^bb6
    %52 = llvm.urem %31, %9  : i64
    %53 = llvm.sub %31, %52  : i64
    llvm.br ^bb8(%10 : i64)
  ^bb8(%54: i64):  // 2 preds: ^bb7, ^bb9
    %55 = llvm.icmp "slt" %54, %53 : i64
    llvm.cond_br %55, ^bb9, ^bb10
  ^bb9:  // pred: ^bb8
    %56 = llvm.mul %54, %11  : i64
    %57 = llvm.add %56, %10  : i64
    %58 = llvm.add %57, %10  : i64
    %59 = llvm.getelementptr %41[%58] : (!llvm.ptr<f16>, i64) -> !llvm.ptr<f16>
    %60 = llvm.bitcast %59 : !llvm.ptr<f16> to !llvm.ptr<vector<4xf16>>
    %61 = llvm.load %60 {alignment = 2 : i64} : !llvm.ptr<vector<4xf16>>
    %62 = "llvm.intr.sqrt"(%61) : (vector<4xf16>) -> vector<4xf16>
    %63 = llvm.fdiv %5, %62  : vector<4xf16>
    %64 = llvm.getelementptr %46[%58] : (!llvm.ptr<f16>, i64) -> !llvm.ptr<f16>
    %65 = llvm.bitcast %64 : !llvm.ptr<f16> to !llvm.ptr<vector<4xf16>>
    llvm.store %63, %65 {alignment = 2 : i64} : !llvm.ptr<vector<4xf16>>
    %66 = llvm.add %54, %9  : i64
    llvm.br ^bb8(%66 : i64)
  ^bb10:  // pred: ^bb8
    %67 = llvm.icmp "ult" %53, %31 : i64
    llvm.cond_br %67, ^bb11, ^bb12
  ^bb11:  // pred: ^bb10
    %68 = llvm.mul %53, %12  : i64
    %69 = llvm.add %31, %68  : i64
    %70 = llvm.mul %53, %11  : i64
    %71 = llvm.add %70, %10  : i64
    %72 = llvm.trunc %69 : i64 to i32
    %73 = llvm.mlir.undef : vector<4xi32>
    %74 = llvm.insertelement %72, %73[%8 : i32] : vector<4xi32>
    %75 = llvm.shufflevector %74, %73 [0 : i32, 0 : i32, 0 : i32, 0 : i32] : vector<4xi32>, vector<4xi32>
    %76 = llvm.icmp "slt" %4, %75 : vector<4xi32>
    %77 = llvm.add %71, %10  : i64
    %78 = llvm.getelementptr %41[%77] : (!llvm.ptr<f16>, i64) -> !llvm.ptr<f16>
    %79 = llvm.bitcast %78 : !llvm.ptr<f16> to !llvm.ptr<vector<4xf16>>
    %80 = llvm.intr.masked.load %79, %76, %3 {alignment = 2 : i32} : (!llvm.ptr<vector<4xf16>>, vector<4xi1>, vector<4xf16>) -> vector<4xf16>
    %81 = llvm.bitcast %16 : !llvm.ptr<f16> to !llvm.ptr<vector<4xf16>>
    llvm.store %80, %81 : !llvm.ptr<vector<4xf16>>
    %82 = llvm.load %81 {alignment = 2 : i64} : !llvm.ptr<vector<4xf16>>
    %83 = "llvm.intr.sqrt"(%82) : (vector<4xf16>) -> vector<4xf16>
    %84 = llvm.fdiv %5, %83  : vector<4xf16>
    %85 = llvm.bitcast %17 : !llvm.ptr<f16> to !llvm.ptr<vector<4xf16>>
    llvm.store %84, %85 {alignment = 2 : i64} : !llvm.ptr<vector<4xf16>>
    %86 = llvm.load %85 : !llvm.ptr<vector<4xf16>>
    %87 = llvm.getelementptr %46[%77] : (!llvm.ptr<f16>, i64) -> !llvm.ptr<f16>
    %88 = llvm.bitcast %87 : !llvm.ptr<f16> to !llvm.ptr<vector<4xf16>>
    llvm.intr.masked.store %86, %88, %76 {alignment = 2 : i32} : vector<4xf16>, vector<4xi1> into !llvm.ptr<vector<4xf16>>
    llvm.br ^bb12
  ^bb12:  // 2 preds: ^bb10, ^bb11
    %89 = llvm.mul %2, %1  : i64
    %90 = llvm.mul %arg1, %2  : i64
    %91 = llvm.add %90, %11  : i64
    %92 = llvm.mul %91, %1  : i64
    %93 = llvm.add %89, %92  : i64
    %94 = llvm.alloca %93 x i8 : (i64) -> !llvm.ptr<i8>
    %95 = llvm.bitcast %94 : !llvm.ptr<i8> to !llvm.ptr<ptr<f16>>
    llvm.store %46, %95 : !llvm.ptr<ptr<f16>>
    %96 = llvm.getelementptr %95[%11] : (!llvm.ptr<ptr<f16>>, i64) -> !llvm.ptr<ptr<f16>>
    llvm.store %46, %96 : !llvm.ptr<ptr<f16>>
    %97 = llvm.getelementptr %95[%2] : (!llvm.ptr<ptr<f16>>, i64) -> !llvm.ptr<ptr<f16>>
    %98 = llvm.bitcast %97 : !llvm.ptr<ptr<f16>> to !llvm.ptr<i64>
    llvm.store %10, %98 : !llvm.ptr<i64>
    %99 = llvm.bitcast %94 : !llvm.ptr<i8> to !llvm.ptr<struct<(ptr<f16>, ptr<f16>, i64, i64)>>
    %100 = llvm.getelementptr %99[%10, 3] : (!llvm.ptr<struct<(ptr<f16>, ptr<f16>, i64, i64)>>, i64) -> !llvm.ptr<i64>
    %101 = llvm.getelementptr %100[%arg1] : (!llvm.ptr<i64>, i64) -> !llvm.ptr<i64>
    %102 = llvm.sub %arg1, %11  : i64
    llvm.br ^bb14(%102, %11 : i64, i64)
  ^bb13:  // pred: ^bb6
    %103 = llvm.mlir.addressof @error_message_2208944672953921889 : !llvm.ptr<array<42 x i8>>
    %104 = llvm.getelementptr %103[%10, %10] : (!llvm.ptr<array<42 x i8>>, i64, i64) -> !llvm.ptr<i8>
    llvm.call @_mlir_ciface_tf_report_error(%arg0, %0, %104) : (!llvm.ptr<i8>, i32, !llvm.ptr<i8>) -> ()
    %105 = llvm.mul %2, %1  : i64
    %106 = llvm.mul %2, %10  : i64
    %107 = llvm.add %106, %11  : i64
    %108 = llvm.mul %107, %1  : i64
    %109 = llvm.add %105, %108  : i64
    %110 = llvm.alloca %109 x i8 : (i64) -> !llvm.ptr<i8>
    %111 = llvm.bitcast %110 : !llvm.ptr<i8> to !llvm.ptr<ptr<f16>>
    llvm.store %13, %111 : !llvm.ptr<ptr<f16>>
    %112 = llvm.getelementptr %111[%11] : (!llvm.ptr<ptr<f16>>, i64) -> !llvm.ptr<ptr<f16>>
    llvm.store %13, %112 : !llvm.ptr<ptr<f16>>
    %113 = llvm.getelementptr %111[%2] : (!llvm.ptr<ptr<f16>>, i64) -> !llvm.ptr<ptr<f16>>
    %114 = llvm.bitcast %113 : !llvm.ptr<ptr<f16>> to !llvm.ptr<i64>
    llvm.store %10, %114 : !llvm.ptr<i64>
    %115 = llvm.call @malloc(%109) : (i64) -> !llvm.ptr<i8>
    "llvm.intr.memcpy"(%115, %110, %109, %6) : (!llvm.ptr<i8>, !llvm.ptr<i8>, i64, i1) -> ()
    %116 = llvm.mlir.undef : !llvm.struct<(i64, ptr<i8>)>
    %117 = llvm.insertvalue %10, %116[0] : !llvm.struct<(i64, ptr<i8>)>
    %118 = llvm.insertvalue %115, %117[1] : !llvm.struct<(i64, ptr<i8>)>
    llvm.return %118 : !llvm.struct<(i64, ptr<i8>)>
  ^bb14(%119: i64, %120: i64):  // 2 preds: ^bb12, ^bb15
    %121 = llvm.icmp "sge" %119, %10 : i64
    llvm.cond_br %121, ^bb15, ^bb16
  ^bb15:  // pred: ^bb14
    %122 = llvm.getelementptr %21[%119] : (!llvm.ptr<i64>, i64) -> !llvm.ptr<i64>
    %123 = llvm.load %122 : !llvm.ptr<i64>
    %124 = llvm.getelementptr %100[%119] : (!llvm.ptr<i64>, i64) -> !llvm.ptr<i64>
    llvm.store %123, %124 : !llvm.ptr<i64>
    %125 = llvm.getelementptr %101[%119] : (!llvm.ptr<i64>, i64) -> !llvm.ptr<i64>
    llvm.store %120, %125 : !llvm.ptr<i64>
    %126 = llvm.mul %120, %123  : i64
    %127 = llvm.sub %119, %11  : i64
    llvm.br ^bb14(%127, %126 : i64, i64)
  ^bb16:  // pred: ^bb14
    %128 = llvm.call @malloc(%93) : (i64) -> !llvm.ptr<i8>
    "llvm.intr.memcpy"(%128, %94, %93, %6) : (!llvm.ptr<i8>, !llvm.ptr<i8>, i64, i1) -> ()
    %129 = llvm.mlir.undef : !llvm.struct<(i64, ptr<i8>)>
    %130 = llvm.insertvalue %arg1, %129[0] : !llvm.struct<(i64, ptr<i8>)>
    %131 = llvm.insertvalue %128, %130[1] : !llvm.struct<(i64, ptr<i8>)>
    llvm.return %131 : !llvm.struct<(i64, ptr<i8>)>
  }
  llvm.func @_mlir_ciface_Rsqrt_CPU_DT_HALF_DT_HALF(%arg0: !llvm.ptr<struct<(i64, ptr<i8>)>>, %arg1: !llvm.ptr<i8>, %arg2: !llvm.ptr<struct<(i64, ptr<i8>)>>) attributes {llvm.emit_c_interface, tf_entry} {
    %0 = llvm.load %arg2 : !llvm.ptr<struct<(i64, ptr<i8>)>>
    %1 = llvm.extractvalue %0[0] : !llvm.struct<(i64, ptr<i8>)>
    %2 = llvm.extractvalue %0[1] : !llvm.struct<(i64, ptr<i8>)>
    %3 = llvm.call @Rsqrt_CPU_DT_HALF_DT_HALF(%arg1, %1, %2) : (!llvm.ptr<i8>, i64, !llvm.ptr<i8>) -> !llvm.struct<(i64, ptr<i8>)>
    llvm.store %3, %arg0 : !llvm.ptr<struct<(i64, ptr<i8>)>>
    llvm.return
  }
}
2022-06-15 13:24:24 +02:00
Phoebe Wang
6e02e27536 Reland "[X86][RFC] Enable _Float16 type support on X86 following the psABI"
Disabled 2 mlir tests due to the runtime doesn't support `_Float16`, see
the issue here https://github.com/llvm/llvm-project/issues/55992
2022-06-15 09:15:31 +08:00
Matthias Springer
56d68e8d7a [mlir][bufferization] Add optional copy operand to AllocTensorOp
If `copy` is specified, the newly allocated buffer is initialized with the given contents. Also add an optional `escape` attribute to indicate whether the buffer of the tensor may be returned from the parent block (aka. "escape") after bufferization.

This change is in preparation of connecting One-Shot Bufferize to the sparse compiler.

Differential Revision: https://reviews.llvm.org/D126570
2022-06-09 21:37:15 +02:00
bixia1
5b1c5fc53a [mlir][sparse] Add complex number reading from files.
Support complex numbers for Matrix Market Exchange Formats. Add a test case.

Reviewed By: aartbik

Differential Revision: https://reviews.llvm.org/D127138
2022-06-08 13:33:35 -07:00
bixia1
ea8ed5cbcf [mlir][sparse] Add F16 and BF16.
This is the first PR to add `F16` and `BF16` support to the sparse codegen. There are still problems in supporting these two data types, such as `BF16` is not quite working yet.

Add tests cases.

Reviewed By: aartbik

Differential Revision: https://reviews.llvm.org/D127010
2022-06-08 09:51:05 -07:00
Matthias Springer
6232a8f3d6 [mlir][sparse][NFC] Switch InitOp to bufferization::AllocTensorOp
Now that we have an AllocTensorOp (previously InitTensorOp) in the bufferization dialect, the InitOp in the sparse dialect is no longer needed.

Differential Revision: https://reviews.llvm.org/D126180
2022-06-02 00:03:52 +02:00
bixia1
548f0841cd [mlir][sparse] Enable the test for operator expm1.
Reviewed By: aartbik

Differential Revision: https://reviews.llvm.org/D126732
2022-06-01 11:18:17 -07:00