[BENCHMARK][GEMM] Disable cutlass gemm benchmark on LNL (#4403)

Signed-off-by: Jefferson Le Quellec <[email protected]>

Author: jle-quel

.github/workflows/triton-benchmarks.yml

@@ -154,7 +154,9 @@ jobs:
           source ../../scripts/capture-hw-details.sh
           python build_report.py $REPORTS/matmul-performance-base.csv $REPORTS/gemm-newshapes-triton-report.csv --benchmark gemm --compiler triton --param_cols "B,M,K,N" --tflops_col Triton-TFlops --hbm_col "Triton-GB/s" --tag $TAG
           python build_report.py $REPORTS/matmul-performance-base.csv $REPORTS/gemm-newshapes-onednn-report.csv --benchmark gemm --compiler onednn --param_cols "B,M,K,N" --tflops_col OneDNN-TFlops --hbm_col "OneDNN-GB/s" --tag $TAG
-          python build_report.py $REPORTS/matmul-performance-base.csv $REPORTS/gemm-newshapes-cutlass-report.csv --benchmark gemm --compiler cutlass --param_cols "B,M,K,N" --tflops_col CUTLASS-TFlops --hbm_col "CUTLASS-GB/s" --tag $TAG
+          if [[ "${{ inputs.runner_label || 'max1550' }}" != "lnl" ]]; then
+            python build_report.py $REPORTS/matmul-performance-base.csv $REPORTS/gemm-newshapes-cutlass-report.csv --benchmark gemm --compiler cutlass --param_cols "B,M,K,N" --tflops_col CUTLASS-TFlops --hbm_col "CUTLASS-GB/s" --tag $TAG
+          fi
 
       - name: Run Triton GEMM kernel benchmark - with tensor of pointer
         if: ${{ steps.install.outcome == 'success' && !cancelled() && (inputs.benchmarks == '' || contains(fromJson(inputs.benchmarks || '[]'), 'gemm_tensor_of_ptr_benchmark.py')) && !contains(fromJson(inputs.skip_benchmarks || '[]'), 'gemm_tensor_of_ptr_benchmark.py') }}
@@ -165,7 +167,9 @@ jobs:
           source ../../scripts/capture-hw-details.sh
           python build_report.py $REPORTS/matmul-tensor-of-ptr-performance.csv $REPORTS/gemm-tensor-of-ptr-triton-report.csv --benchmark gemm-tensor-of-ptr --compiler triton --param_cols "B,M,K,N" --tflops_col Triton-TFlops --hbm_col "Triton-GB/s" --tag $TAG
           python build_report.py $REPORTS/matmul-tensor-of-ptr-performance.csv $REPORTS/gemm-tensor-of-ptr-onednn-report.csv --benchmark gemm-tensor-of-ptr --compiler onednn --param_cols "B,M,K,N" --tflops_col OneDNN-TFlops --hbm_col "OneDNN-GB/s" --tag $TAG
-          python build_report.py $REPORTS/matmul-tensor-of-ptr-performance.csv $REPORTS/gemm-tensor-of-ptr-cutlass-report.csv --benchmark gemm-tensor-of-ptr --compiler cutlass --param_cols "B,M,K,N" --tflops_col CUTLASS-TFlops --hbm_col "CUTLASS-GB/s" --tag $TAG
+          if [[ "${{ inputs.runner_label || 'max1550' }}" != "lnl" ]]; then
+            python build_report.py $REPORTS/matmul-tensor-of-ptr-performance.csv $REPORTS/gemm-tensor-of-ptr-cutlass-report.csv --benchmark gemm-tensor-of-ptr --compiler cutlass --param_cols "B,M,K,N" --tflops_col CUTLASS-TFlops --hbm_col "CUTLASS-GB/s" --tag $TAG
+          fi
 
       - name: Run Triton GEMM kernel benchmark - with tensor descriptor
         if: ${{ steps.install.outcome == 'success' && !cancelled() && (inputs.benchmarks == '' || contains(fromJson(inputs.benchmarks || '[]'), 'gemm_tensor_desc_benchmark.py')) && !contains(fromJson(inputs.skip_benchmarks || '[]'), 'gemm_tensor_desc_benchmark.py') }}
@@ -176,7 +180,9 @@ jobs:
           source ../../scripts/capture-hw-details.sh
           python build_report.py $REPORTS/matmul-tensor-desc-performance.csv $REPORTS/gemm-tensor-desc-triton-report.csv --benchmark gemm-tensor-desc --compiler triton --param_cols "B,M,K,N" --tflops_col Triton-TFlops --hbm_col "Triton-GB/s" --tag $TAG
           python build_report.py $REPORTS/matmul-tensor-desc-performance.csv $REPORTS/gemm-tensor-desc-onednn-report.csv --benchmark gemm-tensor-desc --compiler onednn --param_cols "B,M,K,N" --tflops_col OneDNN-TFlops --hbm_col "OneDNN-GB/s" --tag $TAG
-          python build_report.py $REPORTS/matmul-tensor-desc-performance.csv $REPORTS/gemm-tensor-desc-cutlass-report.csv --benchmark gemm-tensor-desc --compiler cutlass --param_cols "B,M,K,N" --tflops_col CUTLASS-TFlops --hbm_col "CUTLASS-GB/s" --tag $TAG
+          if [[ "${{ inputs.runner_label || 'max1550' }}" != "lnl" ]]; then
+            python build_report.py $REPORTS/matmul-tensor-desc-performance.csv $REPORTS/gemm-tensor-desc-cutlass-report.csv --benchmark gemm-tensor-desc --compiler cutlass --param_cols "B,M,K,N" --tflops_col CUTLASS-TFlops --hbm_col "CUTLASS-GB/s" --tag $TAG
+          fi
 
       - name: Run Triton GEMM (A@B^t) kernel benchmark
         if: ${{ steps.install.outcome == 'success' && !cancelled() && (inputs.benchmarks == '' || contains(fromJson(inputs.benchmarks || '[]'), 'gemm_benchmark.py_abt')) && !contains(fromJson(inputs.skip_benchmarks || '[]'), 'gemm_benchmark.py_abt') }}

benchmarks/triton_kernels_benchmark/gemm_benchmark.py

@@ -301,7 +301,9 @@ def get_benchmark(
     }
     # use_cutlass
     if not (transpose_a or transpose_b):
-        supported_providers['cutlass'] = 'CUTLASS'
+        if torch.xpu.get_device_name() != 'Intel(R) Arc(TM) Graphics':
+            # FIXME: enable cutlass on LNL
+            supported_providers['cutlass'] = 'CUTLASS'
     providers = benchmark_suite.filter_providers(supported_providers, providers_filter)
 
     # Benchmark Performance