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Aling 'linalg-to-xegpu' pass with patched XeGPU dialect #201
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964398e
Aling 'linalg-to-xegpu' pass with patched XeGPU dialect
dchigarev 2778459
add simple e2e test
dchigarev 0f25517
Fix tests
dchigarev 05aa8d6
fix tests
dchigarev 829b9d4
fix tests
dchigarev 3660cdc
Merge remote-tracking branch 'origin/main' into fix-linalg-to-xe
dchigarev 52eb013
fix imex build
dchigarev 48914ac
distinct between ENABLE and USE IMEX
dchigarev 2f5561c
Merge branch 'main' into fix-linalg-to-xe
dchigarev 8184f5d
Merge remote-tracking branch 'origin/main' into fix-linalg-to-xe
dchigarev be7fdf0
remove l0 runtime
dchigarev a94205a
fix formatting
dchigarev 4cf3457
Merge remote-tracking branch 'origin/main' into fix-linalg-to-xe
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,97 @@ | ||
| // RUN: gc-opt %s --pass-pipeline='builtin.module(func.func(iterative-tiling-and-fusion{use-cost-model=0 default-tile-size=matmul:{16,16}}),eliminate-empty-tensors,empty-tensor-to-alloc-tensor,one-shot-bufferize{bufferize-function-boundaries=1 function-boundary-type-conversion=identity-layout-map},drop-equivalent-buffer-results,func.func(finalizing-bufferize),canonicalize,cse,drop-equivalent-buffer-results,expand-realloc,canonicalize,ownership-based-buffer-deallocation,canonicalize,buffer-deallocation-simplification,bufferization-lower-deallocations,cse,canonicalize,convert-bufferization-to-memref,func.func(scf-forall-to-parallel),func.func(linalg-to-xegpu{stages=1 dpas-tile=8,16,16 k-tile=16}),xegpu-fold-alias-ops,func.func(convert-linalg-to-parallel-loops),func.func(gpu-map-parallel-loops),func.func(convert-parallel-loops-to-gpu),func.func(insert-gpu-allocs),gpu-kernel-outlining,canonicalize,set-spirv-capabilities{client-api=opencl},gpu.module(set-spirv-abi-attrs{client-api=opencl}),lower-affine,imex-vector-linearize,gpu.module(convert-xegpu-to-vc),reconcile-unrealized-casts,bf16-to-gpu,gpu.module(convert-func-to-spirv),gpu.module(convert-vector-to-spirv),imex-convert-gpu-to-spirv,spirv.module(spirv-lower-abi-attrs,spirv-update-vce),func.func(llvm-request-c-wrappers),serialize-spirv,convert-vector-to-scf,convert-gpu-to-gpux,convert-scf-to-cf,convert-cf-to-llvm,convert-vector-to-llvm,convert-index-to-llvm,convert-arith-to-llvm,convert-func-to-llvm,convert-math-to-llvm,convert-gpux-to-llvm,convert-index-to-llvm,expand-strided-metadata,lower-affine,finalize-memref-to-llvm,reconcile-unrealized-casts)' \ | ||
| // RUN: | imex-cpu-runner -e main --entry-point-result=void \ | ||
| // RUN: --shared-libs=%irunner_utils,%mlir_runner_utils,%mlir_c_runner_utils,%levelzero_runtime | FileCheck %s | ||
| module{ | ||
|
|
||
| func.func @linalg_matmul(%arg0: tensor<32x32xf16>, | ||
| %arg1: tensor<32x32xf16>, | ||
| %arg2: tensor<32x32xf16>) -> tensor<32x32xf16> { | ||
| %0 = linalg.matmul ins(%arg0, %arg1 : tensor<32x32xf16>, tensor<32x32xf16>) | ||
| outs(%arg2 : tensor<32x32xf16>) -> tensor<32x32xf16> | ||
| return %0 : tensor<32x32xf16> | ||
| } | ||
|
|
||
| func.func @generate_t(%min : f16, %max : f16) -> tensor<32x32xf16> { | ||
| %c32 = arith.constant 32.0 : f16 | ||
| %c1023 = arith.constant 1023.0 : f16 | ||
| %tmp = arith.subf %max, %min : f16 | ||
| %step = arith.divf %tmp, %c1023 : f16 | ||
|
|
||
| // Generate the values | ||
| // for i in range(n): | ||
| // for j in range(n): | ||
| // index = i * n + j | ||
| // value = min_value + index * step | ||
| %0 = tensor.generate { | ||
| ^bb0(%i : index, %j : index): | ||
| %cst32 = arith.constant 32.0 : f16 | ||
| %int0 = arith.index_cast %i : index to i16 | ||
| %int1 = arith.index_cast %j : index to i16 | ||
| %fp1 = arith.uitofp %int0 : i16 to f16 | ||
| %fp2 = arith.uitofp %int1 : i16 to f16 | ||
|
|
||
| %tmp1 = arith.mulf %fp1, %cst32 : f16 | ||
| %res = arith.addf %tmp1, %fp2 : f16 | ||
|
|
||
| %tmp2 = arith.mulf %res, %step : f16 | ||
| %val = arith.addf %min, %tmp2 : f16 | ||
| tensor.yield %val : f16 | ||
| } : tensor<32x32xf16> | ||
| return %0 : tensor<32x32xf16> | ||
| } | ||
|
|
||
| func.func @main() { | ||
| %a0 = arith.constant 0.0 : f16 | ||
| %b0 = arith.constant 256.0 : f16 | ||
| %0 = call @generate_t(%a0, %b0) : (f16, f16) -> tensor<32x32xf16> | ||
|
|
||
| %a1 = arith.constant 0.0 : f16 | ||
| %b1 = arith.constant 10.0 : f16 | ||
| %1 = call @generate_t(%a1, %b1) : (f16, f16) -> tensor<32x32xf16> | ||
|
|
||
| %2 = arith.constant dense<0.0> : tensor<32x32xf16> | ||
| %gpu_res = call @linalg_matmul(%0, %1, %2) : (tensor<32x32xf16>, tensor<32x32xf16>, tensor<32x32xf16>) -> tensor<32x32xf16> | ||
|
|
||
| %cast = tensor.cast %gpu_res : tensor<32x32xf16> to tensor<*xf16> | ||
| call @printMemrefF16(%cast) : (tensor<*xf16>) -> () | ||
| return | ||
| } | ||
|
|
||
| func.func private @printMemrefF16(%ptr : tensor<*xf16>) | ||
| } | ||
|
|
||
| // CHECK: Unranked Memref base@{{(0x)?[-0-9a-fA-F]*}} | ||
| // CHECK-SAME: rank = 2 offset = 0 sizes = [32, 32] strides = [32, 1] data = | ||
| // Computed using numpy: | ||
| // CHECK-NEXT: [815, 816.5, 817.5, 819, 820, 821.5, 822.5, 824, 825, 826, 827, 828.5, 830, 831, 832, 833.5, 834.5, 836, 837, 838.5, 839.5, 840.5, 841.5, 843.5, 844.5, 845.5, 846.5, 848, 849, 850.5, 851.5, 853], | ||
| // CHECK-NEXT: [2058, 2062, 2064, 2068, 2072, 2076, 2080, 2084, 2088, 2090, 2094, 2098, 2102, 2106, 2110, 2114, 2116, 2120, 2124, 2128, 2132, 2136, 2138, 2144, 2146, 2150, 2154, 2158, 2162, 2166, 2168, 2172], | ||
| // CHECK-NEXT: [3298, 3304, 3310, 3318, 3324, 3330, 3336, 3342, 3348, 3354, 3360, 3368, 3374, 3380, 3386, 3392, 3398, 3404, 3410, 3418, 3424, 3430, 3434, 3442, 3448, 3454, 3460, 3468, 3472, 3478, 3484, 3492], | ||
| // CHECK-NEXT: [4544, 4552, 4560, 4568, 4576, 4584, 4592, 4604, 4612, 4620, 4628, 4640, 4648, 4656, 4664, 4672, 4680, 4692, 4700, 4708, 4716, 4724, 4732, 4744, 4752, 4760, 4768, 4780, 4788, 4796, 4804, 4812], | ||
| // CHECK-NEXT: [5784, 5796, 5804, 5816, 5828, 5840, 5848, 5864, 5872, 5884, 5896, 5908, 5916, 5928, 5940, 5952, 5964, 5972, 5984, 5996, 6008, 6020, 6028, 6044, 6052, 6064, 6072, 6088, 6096, 6108, 6120, 6132], | ||
| // CHECK-NEXT: [7024, 7036, 7052, 7068, 7080, 7092, 7104, 7120, 7136, 7148, 7160, 7176, 7188, 7204, 7216, 7232, 7244, 7256, 7272, 7284, 7300, 7312, 7324, 7340, 7352, 7368, 7380, 7396, 7408, 7420, 7436, 7452], | ||
| // CHECK-NEXT: [8272, 8288, 8304, 8320, 8336, 8352, 8368, 8384, 8400, 8416, 8432, 8448, 8464, 8480, 8496, 8512, 8528, 8544, 8560, 8576, 8592, 8608, 8624, 8648, 8656, 8672, 8688, 8712, 8728, 8744, 8752, 8776], | ||
| // CHECK-NEXT: [9512, 9528, 9544, 9568, 9584, 9608, 9624, 9640, 9664, 9680, 9696, 9720, 9736, 9752, 9768, 9792, 9808, 9832, 9848, 9872, 9888, 9904, 9920, 9944, 9960, 9976, 10000, 10016, 10032, 10056, 10072, 10096], | ||
| // CHECK-NEXT: [10752, 10776, 10792, 10816, 10840, 10856, 10880, 10904, 10920, 10944, 10960, 10984, 11008, 11024, 11048, 11072, 11088, 11112, 11136, 11160, 11176, 11200, 11216, 11240, 11264, 11280, 11304, 11328, 11344, 11368, 11384, 11408], | ||
| // CHECK-NEXT: [11992, 12016, 12040, 12064, 12088, 12112, 12136, 12160, 12184, 12208, 12232, 12256, 12280, 12304, 12320, 12352, 12376, 12400, 12416, 12448, 12464, 12488, 12512, 12544, 12560, 12584, 12608, 12632, 12656, 12680, 12704, 12728], | ||
| // CHECK-NEXT: [13232, 13256, 13288, 13312, 13336, 13368, 13392, 13416, 13440, 13472, 13496, 13528, 13552, 13576, 13600, 13632, 13656, 13680, 13704, 13736, 13760, 13784, 13808, 13840, 13864, 13888, 13912, 13944, 13968, 13992, 14016, 14048], | ||
| // CHECK-NEXT: [14472, 14504, 14528, 14560, 14592, 14616, 14648, 14680, 14704, 14736, 14760, 14792, 14816, 14848, 14872, 14904, 14936, 14960, 14992, 15024, 15048, 15080, 15104, 15136, 15168, 15192, 15216, 15256, 15280, 15304, 15336, 15368], | ||
| // CHECK-NEXT: [15728, 15760, 15784, 15824, 15848, 15880, 15912, 15944, 15976, 16008, 16032, 16072, 16104, 16128, 16160, 16200, 16224, 16256, 16288, 16320, 16352, 16384, 16416, 16448, 16480, 16512, 16528, 16576, 16608, 16624, 16656, 16704], | ||
| // CHECK-NEXT: [16960, 16992, 17024, 17072, 17104, 17136, 17168, 17200, 17232, 17264, 17296, 17344, 17376, 17408, 17440, 17472, 17504, 17536, 17568, 17616, 17648, 17680, 17712, 17744, 17776, 17808, 17840, 17888, 17904, 17952, 17984, 18016], | ||
| // CHECK-NEXT: [18208, 18240, 18272, 18320, 18352, 18384, 18416, 18464, 18496, 18528, 18560, 18608, 18640, 18672, 18720, 18752, 18784, 18816, 18864, 18896, 18928, 18976, 19008, 19040, 19072, 19120, 19152, 19184, 19216, 19264, 19296, 19328], | ||
| // CHECK-NEXT: [19456, 19488, 19520, 19568, 19600, 19648, 19680, 19728, 19760, 19792, 19840, 19872, 19920, 19952, 19984, 20032, 20064, 20112, 20144, 20192, 20224, 20256, 20304, 20336, 20384, 20416, 20448, 20496, 20528, 20576, 20608, 20656], | ||
| // CHECK-NEXT: [20688, 20736, 20768, 20816, 20848, 20896, 20928, 20976, 21024, 21056, 21104, 21152, 21184, 21232, 21264, 21312, 21344, 21392, 21424, 21472, 21520, 21552, 21600, 21648, 21680, 21728, 21760, 21808, 21840, 21888, 21920, 21968], | ||
| // CHECK-NEXT: [21936, 21968, 22016, 22064, 22112, 22144, 22192, 22240, 22288, 22320, 22368, 22416, 22448, 22496, 22544, 22592, 22624, 22672, 22720, 22768, 22800, 22848, 22896, 22944, 22976, 23024, 23072, 23120, 23152, 23200, 23232, 23296], | ||
| // CHECK-NEXT: [23168, 23216, 23264, 23312, 23360, 23408, 23440, 23504, 23536, 23584, 23632, 23680, 23728, 23776, 23808, 23872, 23904, 23952, 24000, 24048, 24096, 24144, 24192, 24240, 24288, 24320, 24368, 24416, 24464, 24512, 24560, 24608], | ||
| // CHECK-NEXT: [24416, 24464, 24512, 24560, 24608, 24656, 24704, 24752, 24800, 24848, 24896, 24944, 24992, 25040, 25088, 25152, 25200, 25248, 25280, 25344, 25392, 25440, 25488, 25536, 25584, 25632, 25680, 25728, 25776, 25824, 25872, 25920], | ||
| // CHECK-NEXT: [25648, 25712, 25760, 25808, 25856, 25904, 25952, 26016, 26064, 26112, 26160, 26224, 26272, 26320, 26368, 26432, 26480, 26528, 26576, 26624, 26672, 26736, 26784, 26832, 26880, 26928, 26976, 27040, 27088, 27136, 27184, 27248], | ||
| // CHECK-NEXT: [26896, 26944, 26992, 27056, 27104, 27168, 27216, 27280, 27328, 27376, 27424, 27488, 27536, 27600, 27648, 27712, 27760, 27808, 27856, 27920, 27968, 28016, 28080, 28128, 28192, 28240, 28288, 28352, 28400, 28448, 28496, 28560], | ||
| // CHECK-NEXT: [28128, 28192, 28240, 28304, 28368, 28416, 28464, 28528, 28592, 28640, 28688, 28752, 28816, 28864, 28912, 28976, 29040, 29088, 29152, 29216, 29264, 29312, 29376, 29440, 29488, 29536, 29600, 29664, 29712, 29760, 29824, 29888], | ||
| // CHECK-NEXT: [29376, 29440, 29488, 29552, 29616, 29664, 29728, 29792, 29840, 29904, 29952, 30032, 30080, 30144, 30192, 30256, 30320, 30368, 30432, 30496, 30544, 30608, 30672, 30736, 30784, 30848, 30896, 30960, 31024, 31072, 31136, 31200], | ||
| // CHECK-NEXT: [30640, 30704, 30752, 30832, 30880, 30944, 31008, 31072, 31120, 31184, 31248, 31312, 31376, 31440, 31488, 31568, 31616, 31680, 31728, 31808, 31856, 31920, 31984, 32048, 32112, 32176, 32224, 32288, 32352, 32416, 32464, 32544], | ||
| // CHECK-NEXT: [31872, 31936, 32000, 32080, 32128, 32192, 32256, 32336, 32384, 32448, 32512, 32576, 32640, 32704, 32768, 32832, 32896, 32960, 33024, 33088, 33152, 33216, 33280, 33344, 33408, 33472, 33536, 33600, 33664, 33728, 33792, 33856], | ||
| // CHECK-NEXT: [33120, 33184, 33248, 33312, 33376, 33440, 33504, 33600, 33664, 33728, 33792, 33856, 33920, 33984, 34048, 34112, 34176, 34240, 34304, 34368, 34432, 34496, 34560, 34656, 34720, 34784, 34848, 34912, 34976, 35040, 35104, 35168], | ||
| // CHECK-NEXT: [34368, 34432, 34496, 34560, 34624, 34688, 34752, 34848, 34912, 34976, 35040, 35136, 35200, 35264, 35328, 35392, 35456, 35520, 35584, 35680, 35744, 35808, 35872, 35936, 36000, 36064, 36128, 36224, 36288, 36352, 36416, 36512], | ||
| // CHECK-NEXT: [35616, 35680, 35744, 35808, 35872, 35968, 36032, 36096, 36160, 36256, 36320, 36384, 36448, 36512, 36608, 36672, 36736, 36800, 36864, 36960, 37024, 37088, 37152, 37248, 37312, 37376, 37440, 37536, 37600, 37664, 37728, 37824], | ||
| // CHECK-NEXT: [36832, 36928, 36992, 37056, 37152, 37216, 37280, 37376, 37440, 37504, 37568, 37664, 37728, 37792, 37856, 37952, 38016, 38080, 38176, 38240, 38304, 38400, 38464, 38560, 38624, 38688, 38752, 38848, 38912, 38976, 39040, 39136], | ||
| // CHECK-NEXT: [38080, 38144, 38240, 38304, 38400, 38464, 38528, 38624, 38688, 38784, 38848, 38912, 39008, 39072, 39136, 39232, 39296, 39392, 39456, 39552, 39616, 39680, 39744, 39840, 39904, 40000, 40064, 40160, 40224, 40288, 40352, 40448], | ||
| // CHECK-NEXT: [39328, 39392, 39488, 39552, 39648, 39712, 39776, 39872, 39968, 40032, 40096, 40192, 40256, 40352, 40416, 40512, 40576, 40672, 40736, 40832, 40896, 40992, 41056, 41152, 41216, 41280, 41376, 41472, 41536, 41600, 41696, 41760] |
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vnniConfAcan't be used during loading sincevnniAxis=1is now longer supported. However we still need this config to compute proper tiles forxegpu.dpaslater in the code.