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update examples

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This commit is contained in:
Yan Da
2022-06-01 10:59:16 +08:00
parent 41d338d848
commit 935390dc03
3 changed files with 136 additions and 3 deletions
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4
rewrite-test/jit/matmul/matmul.py
View File

@@ -96,10 +96,10 @@ mod, ctx = matmul_kernel.compile_to_ttir(
)
assert mod.verify()
mod.dump()
# mod.dump()
res = matmul_kernel.compile_ttir_to_llir(mod, ctx)
assert mod.verify()
assert res
# assert res
mod.dump()

7
rewrite-test/jit/vecadd-loop.py → rewrite-test/jit/vecadd/vecadd-loop.py
View File

@@ -46,6 +46,11 @@ y = torch.rand(size, device='cuda')
z = torch.empty_like(x)
# add_kernel[(1,)](x, y, z, size, 256)
# print(add_kernel[(1,)].kernel.compile_to_ttir())
mod, ctx = add_kernel.compile_to_ttir(x, y, z, size, 128, 8, grid=(1,))
mod, ctx = add_kernel.compile_to_ttir(
x, y, z, size, 128, 8, grid=(1,), num_stages=4)
mod.dump()
# print(mod)
res = add_kernel.compile_ttir_to_llir(mod, ctx)
mod.dump()

128
rewrite-test/jit/vecadd/vecadd.mlir Normal file
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@@ -0,0 +1,128 @@
module {
func @add_kernel__Pfp32_Pfp32_Pfp32_i32_i32_i32__(%arg0: !tt.ptr<f32>, %arg1: !tt.ptr<f32>, %arg2: !tt.ptr<f32>, %arg3: i32, %arg4: i32, %arg5: i32) {
%0 = tt.get_program_id {axis = 0 : i32} : i32
%c256_i32 = arith.constant 256 : i32
%1 = arith.muli %0, %c256_i32 : i32
%2 = tt.make_range {end = 256 : i32, start = 0 : i32} : tensor<256xi32>
%3 = tt.broadcast %1 : (i32) -> tensor<256xi32>
%4 = arith.addi %3, %2 : tensor<256xi32>
%5 = tt.broadcast %arg3 : (i32) -> tensor<256xi32>
%6 = arith.cmpi slt, %4, %5 : tensor<256xi32>
%7 = tt.broadcast %arg0 : (!tt.ptr<f32>) -> tensor<256x!tt.ptr<f32>>
%8 = tt.getelementptr %7, %4, : tensor<256x!tt.ptr<f32>>
%9 = tt.broadcast %arg1 : (!tt.ptr<f32>) -> tensor<256x!tt.ptr<f32>>
%10 = tt.getelementptr %9, %4, : tensor<256x!tt.ptr<f32>>
%cst = arith.constant 0.000000e+00 : f32
%11 = tt.broadcast %cst : (f32) -> tensor<256xf32>
%c0_i32 = arith.constant 0 : i32
%c32_i32 = arith.constant 32 : i32
%12 = arith.index_cast %c0_i32 : i32 to index
%13 = arith.index_cast %arg4 : i32 to index
%14 = arith.index_cast %c32_i32 : i32 to index
%15:3 = scf.for %arg6 = %12 to %13 step %14 iter_args(%arg7 = %11, %arg8 = %8, %arg9 = %10) -> (tensor<256xf32>, tensor<256x!tt.ptr<f32>>, tensor<256x!tt.ptr<f32>>) {
%cst_0 = arith.constant 0.000000e+00 : f32
%18 = tt.broadcast %cst_0 : (f32) -> tensor<256xf32>
%19 = tt.load %arg8, %6, %18 {cache = 1 : i32, evict = 1 : i32, isVolatile = false} : tensor<256xf32>
%cst_1 = arith.constant 0.000000e+00 : f32
%20 = tt.broadcast %cst_1 : (f32) -> tensor<256xf32>
%21 = tt.load %arg9, %6, %20 {cache = 1 : i32, evict = 1 : i32, isVolatile = false} : tensor<256xf32>
%22 = arith.addf %19, %21 : tensor<256xf32>
%23 = arith.addf %arg7, %22 : tensor<256xf32>
%24 = tt.broadcast %arg5 : (i32) -> tensor<256xi32>
%25 = tt.getelementptr %arg8, %24, : tensor<256x!tt.ptr<f32>>
%26 = tt.broadcast %arg5 : (i32) -> tensor<256xi32>
%27 = tt.getelementptr %arg9, %26, : tensor<256x!tt.ptr<f32>>
scf.yield %23, %25, %27 : tensor<256xf32>, tensor<256x!tt.ptr<f32>>, tensor<256x!tt.ptr<f32>>
}
%16 = tt.broadcast %arg2 : (!tt.ptr<f32>) -> tensor<256x!tt.ptr<f32>>
%17 = tt.getelementptr %16, %4, : tensor<256x!tt.ptr<f32>>
tt.store %17, %15#0, %6, : tensor<256xf32>
return
}
}
module {
func @add_kernel__Pfp32_Pfp32_Pfp32_i32_i32_i32__(%arg0: !tt.ptr<f32>, %arg1: !tt.ptr<f32>, %arg2: !tt.ptr<f32>, %arg3: i32, %arg4: i32, %arg5: i32) {
%c64 = arith.constant 64 : index
%c32 = arith.constant 32 : index
%c0 = arith.constant 0 : index
%cst = arith.constant 0.000000e+00 : f32
%c256_i32 = arith.constant 256 : i32
%0 = tt.get_program_id {axis = 0 : i32} : i32
%1 = arith.muli %0, %c256_i32 : i32
%2 = tt.make_range {end = 256 : i32, start = 0 : i32} : tensor<256xi32, #triton_gpu<"coalesced encoding<threadTileSize = 1, blockTileSize = 32, order = 0>">>
%3 = tt.broadcast %1 : (i32) -> tensor<256xi32, #triton_gpu<"coalesced encoding<threadTileSize = 1, blockTileSize = 32, order = 0>">>
%4 = arith.addi %3, %2 : tensor<256xi32, #triton_gpu<"coalesced encoding<threadTileSize = 1, blockTileSize = 32, order = 0>">>
%5 = tt.broadcast %arg3 : (i32) -> tensor<256xi32, #triton_gpu<"coalesced encoding<threadTileSize = 1, blockTileSize = 32, order = 0>">>
%6 = "triton_gpu.cmpi"(%4, %5) {predicate = 2 : i64} : (tensor<256xi32, #triton_gpu<"coalesced encoding<threadTileSize = 1, blockTileSize = 32, order = 0>">>, tensor<256xi32, #triton_gpu<"coalesced encoding<threadTileSize = 1, blockTileSize = 32, order = 0>">>) -> tensor<256xi1, #triton_gpu<"coalesced encoding<threadTileSize = 1, blockTileSize = 32, order = 0>">>
%7 = tt.broadcast %arg0 : (!tt.ptr<f32>) -> tensor<256x!tt.ptr<f32>, #triton_gpu<"coalesced encoding<threadTileSize = 1, blockTileSize = 32, order = 0>">>
%8 = tt.getelementptr %7, %4, : tensor<256x!tt.ptr<f32>, #triton_gpu<"coalesced encoding<threadTileSize = 1, blockTileSize = 32, order = 0>">>
%9 = tt.broadcast %arg1 : (!tt.ptr<f32>) -> tensor<256x!tt.ptr<f32>, #triton_gpu<"coalesced encoding<threadTileSize = 1, blockTileSize = 32, order = 0>">>
%10 = tt.getelementptr %9, %4, : tensor<256x!tt.ptr<f32>, #triton_gpu<"coalesced encoding<threadTileSize = 1, blockTileSize = 32, order = 0>">>
%11 = tt.broadcast %cst : (f32) -> tensor<256xf32, #triton_gpu<"coalesced encoding<threadTileSize = 1, blockTileSize = 32, order = 0>">>
%12 = arith.index_cast %arg4 : i32 to index
%13 = arith.cmpi slt, %c0, %12 : index
%14 = tt.broadcast %cst : (f32) -> tensor<256xf32, #triton_gpu<"coalesced encoding<threadTileSize = 1, blockTileSize = 32, order = 0>">>
%15 = tt.broadcast %13 : (i1) -> tensor<256xi1, #triton_gpu<"coalesced encoding<threadTileSize = 1, blockTileSize = 32, order = 0>">>
%16 = arith.andi %6, %15 : tensor<256xi1, #triton_gpu<"coalesced encoding<threadTileSize = 1, blockTileSize = 32, order = 0>">>
%17 = triton_gpu.copy_async %8, %16, %14 {cache = 1 : i32, evict = 1 : i32, isVolatile = false} : tensor<256x!tt.ptr<f32>, #triton_gpu<"coalesced encoding<threadTileSize = 1, blockTileSize = 32, order = 0>">> -> tensor<256xf32, #triton_gpu<"coalesced encoding<threadTileSize = 1, blockTileSize = 32, order = 0>">>
%18 = tt.broadcast %cst : (f32) -> tensor<256xf32, #triton_gpu<"coalesced encoding<threadTileSize = 1, blockTileSize = 32, order = 0>">>
%19 = tt.broadcast %13 : (i1) -> tensor<256xi1, #triton_gpu<"coalesced encoding<threadTileSize = 1, blockTileSize = 32, order = 0>">>
%20 = arith.andi %6, %19 : tensor<256xi1, #triton_gpu<"coalesced encoding<threadTileSize = 1, blockTileSize = 32, order = 0>">>
%21 = triton_gpu.copy_async %10, %20, %18 {cache = 1 : i32, evict = 1 : i32, isVolatile = false} : tensor<256x!tt.ptr<f32>, #triton_gpu<"coalesced encoding<threadTileSize = 1, blockTileSize = 32, order = 0>">> -> tensor<256xf32, #triton_gpu<"coalesced encoding<threadTileSize = 1, blockTileSize = 32, order = 0>">>
%22 = tt.broadcast %arg5 : (i32) -> tensor<256xi32, #triton_gpu<"coalesced encoding<threadTileSize = 1, blockTileSize = 32, order = 0>">>
%23 = tt.getelementptr %8, %22, : tensor<256x!tt.ptr<f32>, #triton_gpu<"coalesced encoding<threadTileSize = 1, blockTileSize = 32, order = 0>">>
%24 = tt.broadcast %arg5 : (i32) -> tensor<256xi32, #triton_gpu<"coalesced encoding<threadTileSize = 1, blockTileSize = 32, order = 0>">>
%25 = tt.getelementptr %10, %24, : tensor<256x!tt.ptr<f32>, #triton_gpu<"coalesced encoding<threadTileSize = 1, blockTileSize = 32, order = 0>">>
%26 = arith.cmpi slt, %c32, %12 : index
%27 = tt.broadcast %cst : (f32) -> tensor<256xf32, #triton_gpu<"coalesced encoding<threadTileSize = 1, blockTileSize = 32, order = 0>">>
%28 = tt.broadcast %26 : (i1) -> tensor<256xi1, #triton_gpu<"coalesced encoding<threadTileSize = 1, blockTileSize = 32, order = 0>">>
%29 = arith.andi %6, %28 : tensor<256xi1, #triton_gpu<"coalesced encoding<threadTileSize = 1, blockTileSize = 32, order = 0>">>
%30 = triton_gpu.copy_async %23, %29, %27 {cache = 1 : i32, evict = 1 : i32, isVolatile = false} : tensor<256x!tt.ptr<f32>, #triton_gpu<"coalesced encoding<threadTileSize = 1, blockTileSize = 32, order = 0>">> -> tensor<256xf32, #triton_gpu<"coalesced encoding<threadTileSize = 1, blockTileSize = 32, order = 0>">>
%31 = tt.broadcast %cst : (f32) -> tensor<256xf32, #triton_gpu<"coalesced encoding<threadTileSize = 1, blockTileSize = 32, order = 0>">>
%32 = tt.broadcast %26 : (i1) -> tensor<256xi1, #triton_gpu<"coalesced encoding<threadTileSize = 1, blockTileSize = 32, order = 0>">>
%33 = arith.andi %6, %32 : tensor<256xi1, #triton_gpu<"coalesced encoding<threadTileSize = 1, blockTileSize = 32, order = 0>">>
%34 = triton_gpu.copy_async %25, %33, %31 {cache = 1 : i32, evict = 1 : i32, isVolatile = false} : tensor<256x!tt.ptr<f32>, #triton_gpu<"coalesced encoding<threadTileSize = 1, blockTileSize = 32, order = 0>">> -> tensor<256xf32, #triton_gpu<"coalesced encoding<threadTileSize = 1, blockTileSize = 32, order = 0>">>
%35 = tt.broadcast %arg5 : (i32) -> tensor<256xi32, #triton_gpu<"coalesced encoding<threadTileSize = 1, blockTileSize = 32, order = 0>">>
%36 = tt.getelementptr %23, %35, : tensor<256x!tt.ptr<f32>, #triton_gpu<"coalesced encoding<threadTileSize = 1, blockTileSize = 32, order = 0>">>
%37 = tt.broadcast %arg5 : (i32) -> tensor<256xi32, #triton_gpu<"coalesced encoding<threadTileSize = 1, blockTileSize = 32, order = 0>">>
%38 = tt.getelementptr %25, %37, : tensor<256x!tt.ptr<f32>, #triton_gpu<"coalesced encoding<threadTileSize = 1, blockTileSize = 32, order = 0>">>
%39 = arith.cmpi slt, %c64, %12 : index
%40 = tt.broadcast %cst : (f32) -> tensor<256xf32, #triton_gpu<"coalesced encoding<threadTileSize = 1, blockTileSize = 32, order = 0>">>
%41 = tt.broadcast %39 : (i1) -> tensor<256xi1, #triton_gpu<"coalesced encoding<threadTileSize = 1, blockTileSize = 32, order = 0>">>
%42 = arith.andi %6, %41 : tensor<256xi1, #triton_gpu<"coalesced encoding<threadTileSize = 1, blockTileSize = 32, order = 0>">>
%43 = triton_gpu.copy_async %36, %42, %40 {cache = 1 : i32, evict = 1 : i32, isVolatile = false} : tensor<256x!tt.ptr<f32>, #triton_gpu<"coalesced encoding<threadTileSize = 1, blockTileSize = 32, order = 0>">> -> tensor<256xf32, #triton_gpu<"coalesced encoding<threadTileSize = 1, blockTileSize = 32, order = 0>">>
%44 = tt.broadcast %cst : (f32) -> tensor<256xf32, #triton_gpu<"coalesced encoding<threadTileSize = 1, blockTileSize = 32, order = 0>">>
%45 = tt.broadcast %39 : (i1) -> tensor<256xi1, #triton_gpu<"coalesced encoding<threadTileSize = 1, blockTileSize = 32, order = 0>">>
%46 = arith.andi %6, %45 : tensor<256xi1, #triton_gpu<"coalesced encoding<threadTileSize = 1, blockTileSize = 32, order = 0>">>
%47 = triton_gpu.copy_async %38, %46, %44 {cache = 1 : i32, evict = 1 : i32, isVolatile = false} : tensor<256x!tt.ptr<f32>, #triton_gpu<"coalesced encoding<threadTileSize = 1, blockTileSize = 32, order = 0>">> -> tensor<256xf32, #triton_gpu<"coalesced encoding<threadTileSize = 1, blockTileSize = 32, order = 0>">>
%48 = tt.broadcast %arg5 : (i32) -> tensor<256xi32, #triton_gpu<"coalesced encoding<threadTileSize = 1, blockTileSize = 32, order = 0>">>
%49 = tt.getelementptr %36, %48, : tensor<256x!tt.ptr<f32>, #triton_gpu<"coalesced encoding<threadTileSize = 1, blockTileSize = 32, order = 0>">>
%50 = tt.broadcast %arg5 : (i32) -> tensor<256xi32, #triton_gpu<"coalesced encoding<threadTileSize = 1, blockTileSize = 32, order = 0>">>
%51 = tt.getelementptr %38, %50, : tensor<256x!tt.ptr<f32>, #triton_gpu<"coalesced encoding<threadTileSize = 1, blockTileSize = 32, order = 0>">>
%52:12 = scf.for %arg6 = %c0 to %12 step %c32 iter_args(%arg7 = %11, %arg8 = %8, %arg9 = %10, %arg10 = %17, %arg11 = %30, %arg12 = %43, %arg13 = %21, %arg14 = %34, %arg15 = %47, %arg16 = %51, %arg17 = %49, %arg18 = %c64) -> (tensor<256xf32, #triton_gpu<"coalesced encoding<threadTileSize = 1, blockTileSize = 32, order = 0>">>, tensor<256x!tt.ptr<f32>, #triton_gpu<"coalesced encoding<threadTileSize = 1, blockTileSize = 32, order = 0>">>, tensor<256x!tt.ptr<f32>, #triton_gpu<"coalesced encoding<threadTileSize = 1, blockTileSize = 32, order = 0>">>, tensor<256xf32, #triton_gpu<"coalesced encoding<threadTileSize = 1, blockTileSize = 32, order = 0>">>, tensor<256xf32, #triton_gpu<"coalesced encoding<threadTileSize = 1, blockTileSize = 32, order = 0>">>, tensor<256xf32, #triton_gpu<"coalesced encoding<threadTileSize = 1, blockTileSize = 32, order = 0>">>, tensor<256xf32, #triton_gpu<"coalesced encoding<threadTileSize = 1, blockTileSize = 32, order = 0>">>, tensor<256xf32, #triton_gpu<"coalesced encoding<threadTileSize = 1, blockTileSize = 32, order = 0>">>, tensor<256xf32, #triton_gpu<"coalesced encoding<threadTileSize = 1, blockTileSize = 32, order = 0>">>, tensor<256x!tt.ptr<f32>, #triton_gpu<"coalesced encoding<threadTileSize = 1, blockTileSize = 32, order = 0>">>, tensor<256x!tt.ptr<f32>, #triton_gpu<"coalesced encoding<threadTileSize = 1, blockTileSize = 32, order = 0>">>, index) {
%55 = arith.addf %arg10, %arg13 : tensor<256xf32, #triton_gpu<"coalesced encoding<threadTileSize = 1, blockTileSize = 32, order = 0>">>
%56 = arith.addf %arg7, %55 : tensor<256xf32, #triton_gpu<"coalesced encoding<threadTileSize = 1, blockTileSize = 32, order = 0>">>
%57 = tt.broadcast %arg5 : (i32) -> tensor<256xi32, #triton_gpu<"coalesced encoding<threadTileSize = 1, blockTileSize = 32, order = 0>">>
%58 = tt.getelementptr %arg8, %57, : tensor<256x!tt.ptr<f32>, #triton_gpu<"coalesced encoding<threadTileSize = 1, blockTileSize = 32, order = 0>">>
%59 = tt.broadcast %arg5 : (i32) -> tensor<256xi32, #triton_gpu<"coalesced encoding<threadTileSize = 1, blockTileSize = 32, order = 0>">>
%60 = tt.getelementptr %arg9, %59, : tensor<256x!tt.ptr<f32>, #triton_gpu<"coalesced encoding<threadTileSize = 1, blockTileSize = 32, order = 0>">>
%61 = arith.addi %arg18, %c32 : index
%62 = arith.cmpi slt, %61, %12 : index
%63 = tt.broadcast %cst : (f32) -> tensor<256xf32, #triton_gpu<"coalesced encoding<threadTileSize = 1, blockTileSize = 32, order = 0>">>
%64 = tt.broadcast %62 : (i1) -> tensor<256xi1, #triton_gpu<"coalesced encoding<threadTileSize = 1, blockTileSize = 32, order = 0>">>
%65 = arith.andi %64, %6 : tensor<256xi1, #triton_gpu<"coalesced encoding<threadTileSize = 1, blockTileSize = 32, order = 0>">>
%66 = triton_gpu.copy_async %arg17, %65, %63 {cache = 1 : i32, evict = 1 : i32, isVolatile = false} : tensor<256x!tt.ptr<f32>, #triton_gpu<"coalesced encoding<threadTileSize = 1, blockTileSize = 32, order = 0>">> -> tensor<256xf32, #triton_gpu<"coalesced encoding<threadTileSize = 1, blockTileSize = 32, order = 0>">>
%67 = tt.broadcast %cst : (f32) -> tensor<256xf32, #triton_gpu<"coalesced encoding<threadTileSize = 1, blockTileSize = 32, order = 0>">>
%68 = triton_gpu.copy_async %arg16, %65, %67 {cache = 1 : i32, evict = 1 : i32, isVolatile = false} : tensor<256x!tt.ptr<f32>, #triton_gpu<"coalesced encoding<threadTileSize = 1, blockTileSize = 32, order = 0>">> -> tensor<256xf32, #triton_gpu<"coalesced encoding<threadTileSize = 1, blockTileSize = 32, order = 0>">>
%69 = tt.broadcast %arg5 : (i32) -> tensor<256xi32, #triton_gpu<"coalesced encoding<threadTileSize = 1, blockTileSize = 32, order = 0>">>
%70 = tt.getelementptr %arg17, %69, : tensor<256x!tt.ptr<f32>, #triton_gpu<"coalesced encoding<threadTileSize = 1, blockTileSize = 32, order = 0>">>
%71 = tt.broadcast %arg5 : (i32) -> tensor<256xi32, #triton_gpu<"coalesced encoding<threadTileSize = 1, blockTileSize = 32, order = 0>">>
%72 = tt.getelementptr %arg16, %71, : tensor<256x!tt.ptr<f32>, #triton_gpu<"coalesced encoding<threadTileSize = 1, blockTileSize = 32, order = 0>">>
scf.yield %56, %58, %60, %arg11, %arg12, %66, %arg14, %arg15, %68, %72, %70, %61 : tensor<256xf32, #triton_gpu<"coalesced encoding<threadTileSize = 1, blockTileSize = 32, order = 0>">>, tensor<256x!tt.ptr<f32>, #triton_gpu<"coalesced encoding<threadTileSize = 1, blockTileSize = 32, order = 0>">>, tensor<256x!tt.ptr<f32>, #triton_gpu<"coalesced encoding<threadTileSize = 1, blockTileSize = 32, order = 0>">>, tensor<256xf32, #triton_gpu<"coalesced encoding<threadTileSize = 1, blockTileSize = 32, order = 0>">>, tensor<256xf32, #triton_gpu<"coalesced encoding<threadTileSize = 1, blockTileSize = 32, order = 0>">>, tensor<256xf32, #triton_gpu<"coalesced encoding<threadTileSize = 1, blockTileSize = 32, order = 0>">>, tensor<256xf32, #triton_gpu<"coalesced encoding<threadTileSize = 1, blockTileSize = 32, order = 0>">>, tensor<256xf32, #triton_gpu<"coalesced encoding<threadTileSize = 1, blockTileSize = 32, order = 0>">>, tensor<256xf32, #triton_gpu<"coalesced encoding<threadTileSize = 1, blockTileSize = 32, order = 0>">>, tensor<256x!tt.ptr<f32>, #triton_gpu<"coalesced encoding<threadTileSize = 1, blockTileSize = 32, order = 0>">>, tensor<256x!tt.ptr<f32>, #triton_gpu<"coalesced encoding<threadTileSize = 1, blockTileSize = 32, order = 0>">>, index
}
%53 = tt.broadcast %arg2 : (!tt.ptr<f32>) -> tensor<256x!tt.ptr<f32>, #triton_gpu<"coalesced encoding<threadTileSize = 1, blockTileSize = 32, order = 0>">>
%54 = tt.getelementptr %53, %4, : tensor<256x!tt.ptr<f32>, #triton_gpu<"coalesced encoding<threadTileSize = 1, blockTileSize = 32, order = 0>">>
tt.store %54, %52#0, %6, : tensor<256xf32, #triton_gpu<"coalesced encoding<threadTileSize = 1, blockTileSize = 32, order = 0>">>
return
}
}