Commit Graph

145 Commits

Author SHA1 Message Date
Shintaro Iwasaki
3c635449e5 [Triton] Support math and libdevice ops (#91)
This PR adds basic math ops by using `MathDialect` and `libdevice` ops by using `extern_elementwise`. This is needed to compile some tutorial code (e.g., `softmax`). This PR implements only interface till PTX (so from frontend to TritonGPU-MLIR) 
- Currently till TritonGPU. It cannot be lowered to PTX now.
- No special optimizations (e.g., constant folding etc) are applied.
  - 14.x does not define folders for many operators for math ops, but 15.x seems to increase its coverage: https://github.com/llvm/llvm-project/blob/llvmorg-15.0.0-rc3/mlir/include/mlir/Dialect/Math/IR/MathOps.td
  - No constant folding etc for `libdevice` ops.

```py
import triton
import triton.language as tl
import sys

@triton.jit
def add_kernel(
    x_ptr,
    y_ptr,
    BLOCK_SIZE: tl.constexpr,
):
    offsets = tl.arange(0, BLOCK_SIZE)
    x = tl.load(x_ptr + offsets)
    x = tl.sin(x)
    output = tl.libdevice.sin(x)
    output = tl.libdevice.fdiv_rn(output, output)
    output = tl.libdevice.fmaf_rd(output, output, output)
    tl.store(y_ptr + offsets, output)


if __name__ == "__main__" and len(sys.argv) >= 2:
    signature = "*fp32,*fp32"
    constants = {'BLOCK_SIZE': 1024}
    output = triton.compile(add_kernel, signature, device=0, constants=constants, output="ttgir")
    print(output)
```
->
```llvm
#blocked = #triton_gpu.blocked<{sizePerThread = [1], threadsPerWarp = [32], warpsPerCTA = [4], order = [0]}>
module attributes {"triton_gpu.num-warps" = 4 : i32} {
  func @add_kernel__Pfp32_Pfp32__2c1024(%arg0: !tt.ptr<f32>, %arg1: !tt.ptr<f32>) {
    %0 = tt.make_range {end = 1024 : i32, start = 0 : i32} : tensor<1024xi32, #blocked>
    %1 = tt.splat %arg0 : (!tt.ptr<f32>) -> tensor<1024x!tt.ptr<f32>, #blocked>
    %2 = tt.getelementptr %1, %0 : tensor<1024x!tt.ptr<f32>, #blocked>
    %3 = tt.load %2 {cache = 1 : i32, evict = 1 : i32, isVolatile = false} : tensor<1024xf32, #blocked>
    %4 = math.sin %3 : tensor<1024xf32, #blocked>
    %5 = tt.ext_elemwise %4 {libname = "libdevice", libpath = "/home/siwasaki/triton/python/triton/language/libdevice.10.bc", symbol = "__nv_sinf"} : tensor<1024xf32, #blocked> -> tensor<1024xf32, #blocked>
    %6 = tt.ext_elemwise %5, %5 {libname = "libdevice", libpath = "/home/siwasaki/triton/python/triton/language/libdevice.10.bc", symbol = "__nv_fdiv_rn"} : tensor<1024xf32, #blocked>, tensor<1024xf32, #blocked> -> tensor<1024xf32, #blocked>
    %7 = tt.ext_elemwise %6, %6, %6 {libname = "libdevice", libpath = "/home/siwasaki/triton/python/triton/language/libdevice.10.bc", symbol = "__nv_fmaf_rd"} : tensor<1024xf32, #blocked>, tensor<1024xf32, #blocked>, tensor<1024xf32, #blocked> -> tensor<1024xf32, #blocked>
    %8 = tt.splat %arg1 : (!tt.ptr<f32>) -> tensor<1024x!tt.ptr<f32>, #blocked>
    %9 = tt.getelementptr %8, %0 : tensor<1024x!tt.ptr<f32>, #blocked>
    tt.store %9, %7 : tensor<1024xf32, #blocked>
    return
  }
}
```
2022-09-01 16:34:27 -07:00
Shintaro Iwasaki
d01353de07 [CI] add assert-enabled MLIR option (#78)
This deprecates the use of release-build LLVM hosted by the LLVM project, which makes debugging harder for developers.

This PR implements the following solution:
1. Create LLVM release tarballs with assert enabled on our own (using Docker)
2. Host them in our own GitHub repositories
3. Use our LLVM for CI and/or development if `TRITON_USE_ASSERT_ENABLED_LLVM=1` is set.
2022-08-31 18:55:32 -07:00
goostavz
bedbf221c0 [BACKEND] Support optional mask in TritonGPUToLLVM (#80)
Co-authored-by: gzhu <gzhu@nvidia.com>
2022-08-24 17:51:37 -07:00
Yan Chunwei
1b513c9866 [BACKEND] Refactoring codegen for LoadOp with PTXFormat (#77)
This PR does following things:

Enhance the PTXFormat by
Introducing PTXBuilder to enable multiple instructions in a single asm program
override PTXInstr's operator() method to enable instr(opr0, opr1) style of setting operands for an instruction
Refactor the PTX code used in LoadOpConversion with PTXFormat

Authored-by: goostavz <gzhu@nvidia.com>
2022-08-23 15:51:13 -07:00
Shintaro Iwasaki
0ebef11c77 [TritonIR] Make mask operand optional (#74) 2022-08-22 22:00:17 -07:00
goostavz
de2dd04c8a [BACKEND] two minor bugfix on StoreOpLowering and kernel launch & support optional other in LoadOpLowering (#69)
* [BACKEND] two minor bugfix on StoreOpLowering and kernel launch & support optional other in LoadOpLowering

* Clean code

Co-authored-by: goostavz <gzhu@nvidia.com>
Co-authored-by: Yan Chunwei <yanchunwei@outlook.com>
2022-08-22 21:47:09 -07:00
Yan Chunwei
10ba51c3bb [FRONTEND] add python e2e launch empty kernel test (#68) 2022-08-19 10:46:01 -07:00
Shintaro Iwasaki
9aa00249a6 [TritonIR] make other optional and remove isOtherUnspecified (#67)
[Triton] make other optional and remove isOtherUnspecified
2022-08-18 18:19:55 -07:00
Philippe Tillet
192be76b3c [OPTIMIZER] Rewrite patterns for layout conversions (#64) 2022-08-18 12:49:37 -07:00
Shintaro Iwasaki
d69ce77b19 [FRONTEND] add an attr for masked load without explicit other (#55) 2022-08-18 09:51:37 -07:00
goostavz
fc58250a06 [BACKEND] Add backend support of arith::AddIOp, arith::AddFOp, GetProgramIdOp & GEPOp and bugfix for SplatOp, StoreOp, FuncOp (#60)
Add backend support of arith::AddIOp, arith::AddFOp, GetProgramIdOp, GEPOp and bugfix for SplatOp, StoreOp, FuncOp

Co-authored-by: gzhu <gzhu@nvidia.com>
2022-08-18 20:46:45 +08:00
Yan Chunwei
b1673caaf6 [FRONTEND] Expose end-to-end compile to python frontend (#58) 2022-08-17 10:42:48 -07:00
Yan Chunwei
95bbac41e7 [BACKEND] Add LLVM-translation for store and splat ops (#47) 2022-08-15 00:46:37 -07:00
goostavz
993ba7035a [BACKEND] Codegen bringup, index calculation of blocked_layout & support of LoadOp, BroadcastOp, ViewOp & MakeRangeOp (#38)
Co-authored-by: gzhu <gzhu@nvidia.com>
2022-08-14 19:58:59 -07:00
Shintaro Iwasaki
2ba9a83465 [BUILD] fix minor issues with MLIR assert enabled (#46) 2022-08-11 21:20:47 -07:00
Yan Chunwei
83ef74f248 [BACKEND] Extracting numWarps from tritonGPU module (#39) 2022-08-08 09:40:20 -07:00
Yan Chunwei
920723cf3d [BACKEND] add triton-translate to translate mlir to llvmir or PTX code (#37) 2022-08-07 22:34:36 -07:00
Philippe Tillet
78ebbe24c7 [FRONTEND] Added ExpandDimsOp primitive (#36) 2022-08-04 18:41:06 -07:00
Yan Chunwei
b988bae813 Init TritonGPU to LLVM dialect conversion (#32)
* add toLLVM pass

* update num-warps setting in mlir
2022-08-04 10:15:45 +08:00
Philippe Tillet
d1593e6ca8 [TritonGPU] Improved documentation and semantics of layout encodings (#30) 2022-07-31 13:59:44 -07:00
Philippe Tillet
6d62d88d4f [CI] run clang-format (#24) 2022-07-26 17:25:03 -07:00
Philippe Tillet
a633d2b403 [Analysis] Added Axis Info Analysis (#8) 2022-07-19 13:38:48 -07:00
Yan Da
9d1b5e3f79 special encoding for broadcast 2022-06-18 21:16:45 +08:00
Yan Da
53cf93ce6a Revert "Remove TypeConverter from TritonToTritonGPU conversion"
This reverts commit 64d0b87ef0.
2022-06-18 14:57:41 +08:00
Yan Da
64d0b87ef0 Remove TypeConverter from TritonToTritonGPU conversion 2022-06-18 14:34:59 +08:00
Yan Da
9feb256b71 op combine in Triton Dialect: broadcast(cst) -> cst 2022-06-17 16:19:47 +08:00
Yan Da
117a402c1b more comments to TypeConverter & update warpTileSize 2022-06-08 16:20:07 +08:00
Yan Da
7b09b5f9e9 the pipeline pass now generates and accepts valid IR 2022-06-07 19:34:59 +08:00
Yan Da
9308e9c90c A more general pipeliner 2022-05-25 21:52:51 +08:00
Yan Da
e6f89a5777 Fix ReduceOp conversion 2022-05-25 16:03:06 +08:00
Yan Da
9b670cfb9f Add ReduceOp 2022-05-25 14:15:36 +08:00
Yan Da
1a4fbed25b Skeleton for the pipeline pass 2022-05-11 16:13:53 +08:00
Yan Da
96876a46d1 More progress on Triton=>TritonGPU conversion (works for matmul) 2022-05-09 21:19:53 +08:00
Yan Da
0c5319eed9 More progress on SCF type conversion 2022-05-05 20:56:55 +08:00
Yan Da
26c59e4718 More on SCF conversion 2022-05-04 21:50:32 +08:00
Yan Da
a96fe07e1c DotOp conversion 2022-05-04 15:56:24 +08:00
Yan Da
2d281cbc0a ConstantOp conversion pattern 2022-05-04 15:35:43 +08:00
Yan Da
b9279d2e3b More progress on TritonGPU conversion 2022-05-04 14:54:31 +08:00
Yan Da
3ad7bee35e More conversion patterns 2022-05-04 12:50:02 +08:00
Yan Da
5f08e2fdae More arith patterns 2022-05-02 22:31:29 +08:00
Yan Da
75d32e2442 More on TritonGPU conversion 2022-05-02 21:51:00 +08:00
Yan Da
1428185c9c More progress on TritonGPUTypeConverter & TritonGPUConversionTarget 2022-05-01 22:06:54 +08:00
Yan Da
4ece9fd1f3 Move dependentDialects from .cpp to .td 2022-05-01 13:06:51 +08:00
Phil Tillet
d9017f8593 add basic template for legalizing arithmetic op 2022-04-30 20:42:25 -07:00
Phil Tillet
2c6a213131 [TRITONGPU] Added template for Triton -> TritonGPU conversion 2022-04-30 16:00:39 -07:00