[Triton-MLIR][Backend] Port FMADot conversion for DotOp (#844)
Co-authored-by: ben-zhang-609 <benzh609@gmail.com>
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@@ -811,3 +811,22 @@ module attributes {"triton_gpu.num-warps" = 4 : i32} {
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return
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}
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}
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// -----
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#blocked = #triton_gpu.blocked<{sizePerThread = [1, 4], threadsPerWarp = [2, 16], warpsPerCTA = [1, 4], order = [1, 0]}>
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#shared = #triton_gpu.shared<{vec = 1, perPhase = 1, maxPhase = 1, order = [1, 0]}>
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#mma = #triton_gpu.mma<{version = 2, warpsPerCTA = [2, 2]}>
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#dot_operand_a = #triton_gpu.dot_op<{opIdx=0, parent=#mma}>
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#dot_operand_b = #triton_gpu.dot_op<{opIdx=1, parent=#mma}>
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module attributes {"triton_gpu.num-warps" = 4 : i32} {
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func @matmul_fmadot(%ptr:!tt.ptr<f32> {tt.divisibility = 16 : i32},
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%a:tensor<32x16xf32, #shared>, %b:tensor<16x32xf32, #shared>) {
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%cst = arith.constant dense<0.000000e+00> : tensor<32x32xf32, #blocked>
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// CHECK: llvm.intr.fmuladd
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%28 = tt.dot %a, %b, %cst {allowTF32 = false, transA = false, transB = false} : tensor<32x16xf32, #shared> * tensor<16x32xf32, #shared> -> tensor<32x32xf32, #blocked>
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%30 = tt.splat %ptr : (!tt.ptr<f32>) -> tensor<32x1x!tt.ptr<f32>, #blocked>
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%36 = tt.broadcast %30 : (tensor<32x1x!tt.ptr<f32>, #blocked>) -> tensor<32x32x!tt.ptr<f32>, #blocked>
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tt.store %36, %28 : tensor<32x32xf32, #blocked>
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return
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}
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}
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