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| // MLP without softmax (can't print packed version for now) | ||
| // RUN: mlir-gen --kernel=const --bias --relu --seed=123 --batch=10 --layers=10,10,10 --float-type=bf16 | tpp-run -e entry -entry-point-result=void | ||
| // RUN: mlir-gen --output=named --kernel=const --bias --relu --seed=123 --batch=10 --layers=10,10,10 --float-type=bf16 | tpp-run -e entry -entry-point-result=void | ||
| // RUN: mlir-gen --kernel=const --bias --relu --seed=123 --batch=16 --layers=16,16,16 --float-type=bf16 | tpp-run -e entry -entry-point-result=void | ||
| // RUN: mlir-gen --output=named --kernel=const --bias --relu --seed=123 --batch=16 --layers=16,16,16 --float-type=bf16 | tpp-run -e entry -entry-point-result=void | ||
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| // Matmul only | ||
| // RUN: mlir-gen --kernel=const --bias --relu --seed=123 --batch=10 --layers=10,10 --float-type=bf16 | tpp-run -e entry -entry-point-result=void | ||
| // RUN: mlir-gen --output=named --kernel=const --bias --relu --seed=123 --batch=10 --layers=10,10 --float-type=bf16 | tpp-run -e entry -entry-point-result=void | ||
| // RUN: mlir-gen --kernel=const --bias --relu --seed=123 --batch=16 --layers=16,16 --float-type=bf16 | tpp-run -e entry -entry-point-result=void | ||
| // RUN: mlir-gen --output=named --kernel=const --bias --relu --seed=123 --batch=16 --layers=16,16 --float-type=bf16 | tpp-run -e entry -entry-point-result=void | ||
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| // Kernel - matmul | ||
| // RUN: mlir-gen --kernel=args --seed=123 --float-type=bf16 --batch=10 --layers=10,10 | tpp-run -e entry -entry-point-result=void -print | FileCheck %s --check-prefix=GEN-MATMUL-BF16 | ||
| // RUN: mlir-gen --output=named --kernel=args --seed=123 --float-type=bf16 --batch=10 --layers=10,10 | tpp-run -e entry -entry-point-result=void -print | FileCheck %s --check-prefix=GEN-MATMUL-BF16 | ||
| // RUN: mlir-gen --kernel=args --seed=123 --float-type=bf16 --batch=16 --layers=16,16 | tpp-run -e entry -entry-point-result=void -print | FileCheck %s --check-prefix=GEN-MATMUL-BF16 | ||
| // RUN: mlir-gen --output=named --kernel=args --seed=123 --float-type=bf16 --batch=16 --layers=16,16 | tpp-run -e entry -entry-point-result=void -print | FileCheck %s --check-prefix=GEN-MATMUL-BF16 | ||
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| // Kernel - fc | ||
| // RUN: mlir-gen --kernel=args --bias --relu --seed=123 --float-type=bf16 --batch=10 --layers=10,10 | tpp-run -e entry -entry-point-result=void -print | FileCheck %s --check-prefix=GEN-FC-BF16 | ||
| // RUN: mlir-gen --output=named --kernel=args --bias --relu --seed=123 --float-type=bf16 --batch=10 --layers=10,10 | tpp-run -e entry -entry-point-result=void -print | FileCheck %s --check-prefix=GEN-FC-BF16 | ||
| // RUN: mlir-gen --kernel=args --bias --relu --seed=123 --float-type=bf16 --batch=16 --layers=16,16 | tpp-run -e entry -entry-point-result=void -print | FileCheck %s --check-prefix=GEN-FC-BF16 | ||
| // RUN: mlir-gen --output=named --kernel=args --bias --relu --seed=123 --float-type=bf16 --batch=16 --layers=16,16 | tpp-run -e entry -entry-point-result=void -print | FileCheck %s --check-prefix=GEN-FC-BF16 | ||
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| // BF16/VNNI execution | ||
| // RUN: mlir-gen --kernel=const --bias --relu --seed=123 --batch=10 --layers=10,10 --tiles=2,2,2 --float-type=bf16 | tpp-run -e entry -entry-point-result=void -n 10 | FileCheck %s --check-prefix=PERF | ||
| // RUN: mlir-gen --output=named --kernel=const --bias --relu --seed=123 --batch=10 --layers=10,10 --tiles=2,2,2 --float-type=bf16 | tpp-run -e entry -entry-point-result=void -n 10 | FileCheck %s --check-prefix=PERF | ||
| // RUN: mlir-gen --kernel=const --bias --relu --seed=123 --batch=10 --layers=10,10 --tiles=2,2,2 --float-type=bf16 | tpp-opt --pack-vnni | tpp-run -e entry -entry-point-result=void -n 10 | FileCheck %s --check-prefix=PERF | ||
| // RUN: mlir-gen --output=named --kernel=const --bias --relu --seed=123 --batch=10 --layers=10,10 --tiles=2,2,2 --float-type=bf16 | tpp-opt --pack-vnni | tpp-run -e entry -entry-point-result=void -n 10 | FileCheck %s --check-prefix=PERF | ||
| // RUN: mlir-gen --kernel=const --bias --relu --seed=123 --batch=16 --layers=16,16 --tiles=8,8,8 --float-type=bf16 | tpp-run -e entry -entry-point-result=void -n 10 | FileCheck %s --check-prefix=PERF | ||
| // RUN: mlir-gen --output=named --kernel=const --bias --relu --seed=123 --batch=16 --layers=16,16 --tiles=8,8,8 --float-type=bf16 | tpp-run -e entry -entry-point-result=void -n 10 | FileCheck %s --check-prefix=PERF | ||
| // RUN: mlir-gen --kernel=const --bias --relu --seed=123 --batch=16 --layers=16,16 --tiles=8,8,8 --float-type=bf16 | tpp-opt --pack-vnni | tpp-run -e entry -entry-point-result=void -n 10 | FileCheck %s --check-prefix=PERF | ||
| // RUN: mlir-gen --output=named --kernel=const --bias --relu --seed=123 --batch=16 --layers=16,16 --tiles=8,8,8 --float-type=bf16 | tpp-opt --pack-vnni | tpp-run -e entry -entry-point-result=void -n 10 | FileCheck %s --check-prefix=PERF | ||
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| // GEN-MATMUL-BF16: ( 11, 11, 11, 11, 11, 11, 11, 11, 11, 11 ) | ||
| // GEN-MATMUL-BF16: ( 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17 ) | ||
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| // GEN-FC-BF16: ( 12, 12, 12, 12, 12, 12, 12, 12, 12, 12 ) | ||
| // GEN-FC-BF16: ( 18, 18, 18, 18, 18, 18, 18, 18, 18, 18, 18, 18, 18, 18, 18, 18 ) | ||
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| // PERF: {{[0-9]+}}{{.?}}{{[0-9e-]+}} |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -1,26 +1,13 @@ | ||
| // RUN: tpp-run %s -print -seed 123 \ | ||
| // RUN: mlir-gen --kernel=const --bias --relu --seed=123 --batch=16 --layers=16,16 \ | ||
| // RUN: --tiles=16,16,16 --float-type=bf16 | \ | ||
| // RUN: tpp-opt --pack-vnni | \ | ||
| // RUN: tpp-run -print -seed 123 \ | ||
| // RUN: -e entry -entry-point-result=void > %t.xsmm | ||
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| // RUN: tpp-run %s -print -seed 123 -linalg-to-loops \ | ||
| // RUN: mlir-gen --kernel=const --bias --relu --seed=123 --batch=16 --layers=16,16 \ | ||
| // RUN: --tiles=16,16,16 --float-type=bf16 | \ | ||
| // RUN: tpp-opt --pack-vnni | \ | ||
| // RUN: tpp-run -print -seed 123 -linalg-to-loops \ | ||
| // RUN: -e entry -entry-point-result=void > %t.loops | ||
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| // RUN: fpcmp -r 0.01 %t.xsmm %t.loops | ||
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| #map = affine_map<(d0, d1, d2, d3, d4, d5, d6) -> (d0, d2, d4, d6, d3)> | ||
| #map1 = affine_map<(d0, d1, d2, d3, d4, d5, d6) -> (d1, d2, d6, d5, d3)> | ||
| #map2 = affine_map<(d0, d1, d2, d3, d4, d5, d6) -> (d0, d1, d4, d5)> | ||
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| func.func @entry(%arg0: tensor<2x2x7x4x2xbf16>, %arg1: tensor<2x2x4x5x2xbf16>, | ||
| %arg2: tensor<2x2x7x5xbf16>) -> tensor<2x2x7x5xbf16> { | ||
| %1 = linalg.generic { | ||
| indexing_maps = [#map, #map1, #map2], | ||
| iterator_types = ["parallel", "parallel", "reduction", "reduction", "parallel", "parallel", "reduction"]} | ||
| ins(%arg0, %arg1 : tensor<2x2x7x4x2xbf16>, tensor<2x2x4x5x2xbf16>) | ||
| outs(%arg2 : tensor<2x2x7x5xbf16>) { | ||
| ^bb0(%in: bf16, %in_0: bf16, %out: bf16): | ||
| %2 = arith.mulf %in, %in_0 : bf16 | ||
| %3 = arith.addf %out, %2 : bf16 | ||
| linalg.yield %3 : bf16 | ||
| } -> tensor<2x2x7x5xbf16> | ||
| return %1 : tensor<2x2x7x5xbf16> | ||
| } |