added libxsmm-dnn parallelization strategy to tpp-run

plaidml · Feb 19, 2024 · c69ce46 · c69ce46
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commit c69ce46
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diff --git a/benchmarks/config/omp/mlir-bf16.json b/benchmarks/config/omp/mlir-bf16.json
@@ -5,28 +5,28 @@
       "type": "IR-GEN",
       "benchmark": [ "mlir-gen", "--kernel=const --float-width=16 --batch=256 --layers=1024,1024,1024,1024 --tiles=32,32,32 --vnni=2" ],
       "environment": { "OMP_NUM_THREADS": "2", "KMP_AFFINITY": "granularity=fine,verbose,compact,1,0" },
-      "flags": [ "-n", "100", "-run-args='-def-parallel'" ],
+      "flags": [ "-n", "100", "-run-args='--def-parallel --parallel-task-grid=8,16'" ],
       "extensions": [ "(avx2|asimd)" ]
     },
     "bf16_dp2_3x1024_omp_4_mlir": {
       "type": "IR-GEN",
       "benchmark": [ "mlir-gen", "--kernel=const --float-width=16 --batch=256 --layers=1024,1024,1024,1024 --tiles=32,32,32 --vnni=2" ],
       "environment": { "OMP_NUM_THREADS": "4", "KMP_AFFINITY": "granularity=fine,verbose,compact,1,0" },
-      "flags": [ "-n", "100", "-run-args='-def-parallel'" ],
+      "flags": [ "-n", "100", "-run-args='--def-parallel --parallel-task-grid=8,8'" ],
       "extensions": [ "(avx2|asimd)" ]
     },
     "bf16_dp2_3x1024_omp_8_mlir": {
       "type": "IR-GEN",
       "benchmark": [ "mlir-gen", "--kernel=const --float-width=16 --batch=256 --layers=1024,1024,1024,1024 --tiles=32,32,32 --vnni=2" ],
       "environment": { "OMP_NUM_THREADS": "8", "KMP_AFFINITY": "granularity=fine,verbose,compact,1,0" }, 
-      "flags": [ "-n", "100", "-run-args='-def-parallel'" ],
+      "flags": [ "-n", "100", "-run-args='--def-parallel --parallel-task-grid=4,8'" ],
       "extensions": [ "(avx2|asimd)" ]
     },
     "bf16_dp2_3x1024_omp_16_mlir": {
       "type": "IR-GEN",
       "benchmark": [ "mlir-gen", "--kernel=const --float-width=16 --batch=256 --layers=1024,1024,1024,1024 --tiles=32,32,32 --vnni=2" ],
       "environment": { "OMP_NUM_THREADS": "16", "KMP_AFFINITY": "granularity=fine,verbose,compact,1,0" }, 
-      "flags": [ "-n", "100", "-run-args='-def-parallel'" ],
+      "flags": [ "-n", "100", "-run-args='--def-parallel --parallel-task-grid=2,8'" ],
       "extensions": [ "(avx2|asimd)" ]
     }
   }},
@@ -36,28 +36,28 @@
       "type": "IR-GEN",
       "benchmark": [ "mlir-gen", "--kernel=const --bias --relu --float-width=16 --batch=256 --layers=1024,1024,1024,1024 --tiles=32,32,32 --vnni=2" ],
       "environment": { "OMP_NUM_THREADS": "2", "KMP_AFFINITY": "granularity=fine,verbose,compact,1,0" },
-      "flags": [ "-n", "100", "-run-args='-def-parallel'" ],
+      "flags": [ "-n", "100", "-run-args='--def-parallel --parallel-task-grid=8,16'" ],
       "extensions": [ "(avx2|asimd)" ]
     },
     "bf16_dp2_3x1024_omp_4_mlir": {
       "type": "IR-GEN",
       "benchmark": [ "mlir-gen", "--kernel=const --bias --relu --float-width=16 --batch=256 --layers=1024,1024,1024,1024 --tiles=32,32,32 --vnni=2" ],
       "environment": { "OMP_NUM_THREADS": "4", "KMP_AFFINITY": "granularity=fine,verbose,compact,1,0" },
-      "flags": [ "-n", "100", "-run-args='-def-parallel'" ],
+      "flags": [ "-n", "100", "-run-args='--def-parallel --parallel-task-grid=8,8'" ],
       "extensions": [ "(avx2|asimd)" ]
     },
     "bf16_dp2_3x1024_omp_8_mlir": {
       "type": "IR-GEN",
       "benchmark": [ "mlir-gen", "--kernel=const --bias --relu --float-width=16 --batch=256 --layers=1024,1024,1024,1024 --tiles=32,32,32 --vnni=2" ],
       "environment": { "OMP_NUM_THREADS": "8", "KMP_AFFINITY": "granularity=fine,verbose,compact,1,0" }, 
-      "flags": [ "-n", "100", "-run-args='-def-parallel'" ],
+      "flags": [ "-n", "100", "-run-args='--def-parallel --parallel-task-grid=4,8'" ],
       "extensions": [ "(avx2|asimd)" ]
     },
     "bf16_dp2_3x1024_omp_16_mlir": {
       "type": "IR-GEN",
       "benchmark": [ "mlir-gen", "--kernel=const --bias --relu --float-width=16 --batch=256 --layers=1024,1024,1024,1024 --tiles=32,32,32 --vnni=2" ],
       "environment": { "OMP_NUM_THREADS": "16", "KMP_AFFINITY": "granularity=fine,verbose,compact,1,0" }, 
-      "flags": [ "-n", "100", "-run-args='-def-parallel'" ],
+      "flags": [ "-n", "100", "-run-args='--def-parallel --parallel-task-grid=2,8'" ],
       "extensions": [ "(avx2|asimd)" ]
     }
   }}

diff --git a/benchmarks/config/omp/mlir-fp32.json b/benchmarks/config/omp/mlir-fp32.json
@@ -5,28 +5,28 @@
       "type": "IR-GEN",
       "benchmark": [ "mlir-gen", "--kernel=const --float-width=32 --batch=256 --layers=1024,1024,1024,1024 --tiles=32,32,32" ],
       "environment": { "OMP_NUM_THREADS": "2", "KMP_AFFINITY": "granularity=fine,verbose,compact,1,0" },
-      "flags": [ "-n", "100", "-run-args='-def-parallel'" ],
+      "flags": [ "-n", "100", "-run-args='--def-parallel --parallel-task-grid=8,16'" ],
       "extensions": [ "(avx2|asimd)" ]
     },
     "fp32_3x1024_omp_4_mlir": {
       "type": "IR-GEN",
       "benchmark": [ "mlir-gen", "--kernel=const --float-width=32 --batch=256 --layers=1024,1024,1024,1024 --tiles=32,32,32" ],
       "environment": { "OMP_NUM_THREADS": "4", "KMP_AFFINITY": "granularity=fine,verbose,compact,1,0" },
-      "flags": [ "-n", "100", "-run-args='-def-parallel'" ],
+      "flags": [ "-n", "100", "-run-args='--def-parallel --parallel-task-grid=8,8'" ],
       "extensions": [ "(avx2|asimd)" ]
     },
     "fp32_3x1024_omp_8_mlir": {
       "type": "IR-GEN",
       "benchmark": [ "mlir-gen", "--kernel=const --float-width=32 --batch=256 --layers=1024,1024,1024,1024 --tiles=32,32,32" ],
       "environment": { "OMP_NUM_THREADS": "8", "KMP_AFFINITY": "granularity=fine,verbose,compact,1,0" }, 
-      "flags": [ "-n", "100", "-run-args='-def-parallel'" ],
+      "flags": [ "-n", "100", "-run-args='--def-parallel --parallel-task-grid=4,8'" ],
       "extensions": [ "(avx2|asimd)" ]
     },
     "fp32_3x1024_omp_16_mlir": {
       "type": "IR-GEN",
       "benchmark": [ "mlir-gen", "--kernel=const --float-width=32 --batch=256 --layers=1024,1024,1024,1024 --tiles=32,32,32" ],
       "environment": { "OMP_NUM_THREADS": "16", "KMP_AFFINITY": "granularity=fine,verbose,compact,1,0" }, 
-      "flags": [ "-n", "100", "-run-args='-def-parallel'" ],
+      "flags": [ "-n", "100", "-run-args='--def-parallel --parallel-task-grid=2,8'" ],
       "extensions": [ "(avx2|asimd)" ]
     }
   }},
@@ -36,28 +36,28 @@
       "type": "IR-GEN",
       "benchmark": [ "mlir-gen", "--kernel=const --bias --relu --float-width=32 --batch=256 --layers=1024,1024,1024,1024 --tiles=32,32,32" ],
       "environment": { "OMP_NUM_THREADS": "2", "KMP_AFFINITY": "granularity=fine,verbose,compact,1,0" },
-      "flags": [ "-n", "100", "-run-args='-def-parallel'" ],
+      "flags": [ "-n", "100", "-run-args='--def-parallel --parallel-task-grid=8,16'" ],
       "extensions": [ "(avx2|asimd)" ]
     },
     "fp32_3x1024_omp_4_mlir": {
       "type": "IR-GEN",
       "benchmark": [ "mlir-gen", "--kernel=const --bias --relu --float-width=32 --batch=256 --layers=1024,1024,1024,1024 --tiles=32,32,32" ],
       "environment": { "OMP_NUM_THREADS": "4", "KMP_AFFINITY": "granularity=fine,verbose,compact,1,0" },
-      "flags": [ "-n", "100", "-run-args='-def-parallel'" ],
+      "flags": [ "-n", "100", "-run-args='--def-parallel --parallel-task-grid=8,8'" ],
       "extensions": [ "(avx2|asimd)" ]
     },
     "fp32_3x1024_omp_8_mlir": {
       "type": "IR-GEN",
       "benchmark": [ "mlir-gen", "--kernel=const --bias --relu --float-width=32 --batch=256 --layers=1024,1024,1024,1024 --tiles=32,32,32" ],
       "environment": { "OMP_NUM_THREADS": "8", "KMP_AFFINITY": "granularity=fine,verbose,compact,1,0" }, 
-      "flags": [ "-n", "100", "-run-args='-def-parallel'" ],
+      "flags": [ "-n", "100", "-run-args='--def-parallel --parallel-task-grid=4,8'" ],
       "extensions": [ "(avx2|asimd)" ]
     },
     "fp32_3x1024_omp_16_mlir": {
       "type": "IR-GEN",
       "benchmark": [ "mlir-gen", "--kernel=const --bias --relu --float-width=32 --batch=256 --layers=1024,1024,1024,1024 --tiles=32,32,32" ],
       "environment": { "OMP_NUM_THREADS": "16", "KMP_AFFINITY": "granularity=fine,verbose,compact,1,0" }, 
-      "flags": [ "-n", "100", "-run-args='-def-parallel'" ],
+      "flags": [ "-n", "100", "-run-args='--def-parallel --parallel-task-grid=2,8'" ],
       "extensions": [ "(avx2|asimd)" ]
     }
   }}

diff --git a/benchmarks/config/omp/torch-dynamo.json b/benchmarks/config/omp/torch-dynamo.json
@@ -5,28 +5,28 @@
       "type": "MLIR",
       "benchmark": "pytorch/torch-dynamo-gemm-fp32-3x1024.mlir",
       "environment": { "OMP_NUM_THREADS": "2", "KMP_AFFINITY": "granularity=fine,verbose,compact,1,0" },
-      "flags": [ "-n", "100", "-run-args='-def-parallel'" ],
+      "flags": [ "-n", "100", "-run-args='--def-parallel --parallel-task-grid=8,16'" ],
       "extensions": [ ]
     },
     "fp32_3x1024_omp_4_mlir": {
       "type": "MLIR",
       "benchmark": "pytorch/torch-dynamo-gemm-fp32-3x1024.mlir",
       "environment": { "OMP_NUM_THREADS": "4", "KMP_AFFINITY": "granularity=fine,verbose,compact,1,0" },
-      "flags": [ "-n", "100", "-run-args='-def-parallel'" ],
+      "flags": [ "-n", "100", "-run-args='--def-parallel --parallel-task-grid=8,8'" ],
       "extensions": [ ]
     },
     "fp32_3x1024_omp_8_mlir": {
       "type": "MLIR",
       "benchmark": "pytorch/torch-dynamo-gemm-fp32-3x1024.mlir",
       "environment": { "OMP_NUM_THREADS": "8", "KMP_AFFINITY": "granularity=fine,verbose,compact,1,0" },
-      "flags": [ "-n", "100", "-run-args='-def-parallel'" ],
+      "flags": [ "-n", "100", "-run-args='--def-parallel --parallel-task-grid=4,8'" ],
       "extensions": [ ]
     },
     "fp32_3x1024_omp_16_mlir": {
       "type": "MLIR",
       "benchmark": "pytorch/torch-dynamo-gemm-fp32-3x1024.mlir",
       "environment": { "OMP_NUM_THREADS": "16", "KMP_AFFINITY": "granularity=fine,verbose,compact,1,0" },
-      "flags": [ "-n", "100", "-run-args='-def-parallel'" ],
+      "flags": [ "-n", "100", "-run-args='--def-parallel --parallel-task-grid=2,8'" ],
       "extensions": [ ]
     }
   }},
@@ -36,28 +36,28 @@
       "type": "MLIR",
       "benchmark": "pytorch/torch-dynamo-gemm-bf16-3x1024.mlir",
       "environment": { "OMP_NUM_THREADS": "2", "KMP_AFFINITY": "granularity=fine,verbose,compact,1,0" },
-      "flags": [ "-n", "100", "-run-args='-def-parallel'" ],
+      "flags": [ "-n", "100", "-run-args='--def-parallel --parallel-task-grid=8,16'" ],
       "extensions": [ ]
     },
     "bf16_3x1024_omp_4_mlir": {
       "type": "MLIR",
       "benchmark": "pytorch/torch-dynamo-gemm-bf16-3x1024.mlir",
       "environment": { "OMP_NUM_THREADS": "4", "KMP_AFFINITY": "granularity=fine,verbose,compact,1,0" },
-      "flags": [ "-n", "100", "-run-args='-def-parallel'" ],
+      "flags": [ "-n", "100", "-run-args='--def-parallel --parallel-task-grid=8,8'" ],
       "extensions": [ ]
     },
     "bf16_3x1024_omp_8_mlir": {
       "type": "MLIR",
       "benchmark": "pytorch/torch-dynamo-gemm-bf16-3x1024.mlir",
       "environment": { "OMP_NUM_THREADS": "8", "KMP_AFFINITY": "granularity=fine,verbose,compact,1,0" },
-      "flags": [ "-n", "100", "-run-args='-def-parallel'" ],
+      "flags": [ "-n", "100", "-run-args='--def-parallel --parallel-task-grid=4,8'" ],
       "extensions": [ ]
     },
     "bf16_3x1024_omp_16_mlir": {
       "type": "MLIR",
       "benchmark": "pytorch/torch-dynamo-gemm-bf16-3x1024.mlir",
       "environment": { "OMP_NUM_THREADS": "16", "KMP_AFFINITY": "granularity=fine,verbose,compact,1,0" },
-      "flags": [ "-n", "100", "-run-args='-def-parallel'" ],
+      "flags": [ "-n", "100", "-run-args='--def-parallel --parallel-task-grid=2,8'" ],
       "extensions": [ ]
     }
   }},
@@ -67,28 +67,28 @@
       "type": "MLIR",
       "benchmark": "pytorch/torch-dynamo-mlp-fp32-3x1024.mlir",
       "environment": { "OMP_NUM_THREADS": "2", "KMP_AFFINITY": "granularity=fine,verbose,compact,1,0" },
-      "flags": [ "-n", "100", "-run-args='-def-parallel'" ],
+      "flags": [ "-n", "100", "-run-args='--def-parallel --parallel-task-grid=8,16'" ],
       "extensions": [ ]
     },
     "fp32_3x1024_omp_4_mlir": {
       "type": "MLIR",
       "benchmark": "pytorch/torch-dynamo-mlp-fp32-3x1024.mlir",
       "environment": { "OMP_NUM_THREADS": "4", "KMP_AFFINITY": "granularity=fine,verbose,compact,1,0" },
-      "flags": [ "-n", "100", "-run-args='-def-parallel'" ],
+      "flags": [ "-n", "100", "-run-args='--def-parallel --parallel-task-grid=8,8'" ],
       "extensions": [ ]
     },
     "fp32_3x1024_omp_8_mlir": {
       "type": "MLIR",
       "benchmark": "pytorch/torch-dynamo-mlp-fp32-3x1024.mlir",
       "environment": { "OMP_NUM_THREADS": "8", "KMP_AFFINITY": "granularity=fine,verbose,compact,1,0" },
-      "flags": [ "-n", "100", "-run-args='-def-parallel'" ],
+      "flags": [ "-n", "100", "-run-args='--def-parallel --parallel-task-grid=4,8'" ],
       "extensions": [ ]
     },
     "fp32_3x1024_omp_16_mlir": {
       "type": "MLIR",
       "benchmark": "pytorch/torch-dynamo-mlp-fp32-3x1024.mlir",
       "environment": { "OMP_NUM_THREADS": "16", "KMP_AFFINITY": "granularity=fine,verbose,compact,1,0" },
-      "flags": [ "-n", "100", "-run-args='-def-parallel'" ],
+      "flags": [ "-n", "100", "-run-args='--def-parallel --parallel-task-grid=2,8'" ],
       "extensions": [ ]
     }
   }},
@@ -98,28 +98,28 @@
       "type": "MLIR",
       "benchmark": "pytorch/torch-dynamo-mlp-bf16-3x1024.mlir",
       "environment": { "OMP_NUM_THREADS": "2", "KMP_AFFINITY": "granularity=fine,verbose,compact,1,0" },
-      "flags": [ "-n", "100", "-run-args='-def-parallel'" ],
+      "flags": [ "-n", "100", "-run-args='--def-parallel --parallel-task-grid=8,16'" ],
       "extensions": [ ]
     },
     "bf16_3x1024_omp_4_mlir": {
       "type": "MLIR",
       "benchmark": "pytorch/torch-dynamo-mlp-bf16-3x1024.mlir",
       "environment": { "OMP_NUM_THREADS": "4", "KMP_AFFINITY": "granularity=fine,verbose,compact,1,0" },
-      "flags": [ "-n", "100", "-run-args='-def-parallel'" ],
+      "flags": [ "-n", "100", "-run-args='--def-parallel --parallel-task-grid=8,8'" ],
       "extensions": [ ]
     },
     "bf16_3x1024_omp_8_mlir": {
       "type": "MLIR",
       "benchmark": "pytorch/torch-dynamo-mlp-bf16-3x1024.mlir",
       "environment": { "OMP_NUM_THREADS": "8", "KMP_AFFINITY": "granularity=fine,verbose,compact,1,0" },
-      "flags": [ "-n", "100", "-run-args='-def-parallel'" ],
+      "flags": [ "-n", "100", "-run-args='--def-parallel --parallel-task-grid=4,8'" ],
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     },
     "bf16_3x1024_omp_16_mlir": {
       "type": "MLIR",
       "benchmark": "pytorch/torch-dynamo-mlp-bf16-3x1024.mlir",
       "environment": { "OMP_NUM_THREADS": "16", "KMP_AFFINITY": "granularity=fine,verbose,compact,1,0" },
-      "flags": [ "-n", "100", "-run-args='-def-parallel'" ],
+      "flags": [ "-n", "100", "-run-args='--def-parallel --parallel-task-grid=2,8'" ],
       "extensions": [ ]
     }
   }}