37 lines
1.5 KiB
MLIR
37 lines
1.5 KiB
MLIR
// RUN: triton-opt %s -split-input-file -convert-triton-to-tritongpu=num-warps=2 -convert-triton-gpu-to-llvm | FileCheck %s
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func @test_splat(%ptr: !tt.ptr<f32>) {
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// Here, 128 elements, 64(2*32) threads, so each need to process 2 elements
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//
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// CHECK: %0 = llvm.bitcast %arg0 : !llvm.ptr<f32, 1> to !llvm.ptr<f32, 1>
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// CHECK: %1 = llvm.mlir.undef : !llvm.struct<(ptr<f32, 1>, ptr<f32, 1>)>
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// CHECK: %2 = llvm.insertvalue %0, %1[0] : !llvm.struct<(ptr<f32, 1>, ptr<f32, 1>)>
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// CHECK: %3 = llvm.insertvalue %0, %2[1] : !llvm.struct<(ptr<f32, 1>, ptr<f32, 1>)>
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%ptrs = tt.splat %ptr : (!tt.ptr<f32>) -> tensor<128x!tt.ptr<f32>>
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%a = arith.constant 1.0 : f32
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%true = arith.constant 1 : i1
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%b = tt.splat %a : (f32) -> tensor<128xf32>
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// Here, each thread process only 1 element
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// CHECK: %{{.*}} = llvm.mlir.undef : !llvm.struct<(i1)>
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%mask = tt.splat %true : (i1) -> tensor<64xi1>
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return
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}
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func @test_store_splat(%ptr: !tt.ptr<f32>) {
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%ptrs = tt.splat %ptr : (!tt.ptr<f32>) -> tensor<128x!tt.ptr<f32>>
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%a = arith.constant 1.0 : f32
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%true = arith.constant 1 : i1
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%vs = tt.splat %a : (f32) -> tensor<128xf32>
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%mask = tt.splat %true : (i1) -> tensor<128xi1>
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// CHECK: %{{.*}} = llvm.inline_asm has_side_effects asm_dialect = att operand_attrs = [] "@%0 st.global.v32.b1 [ %1 + 0 ], { %2 };",
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// CHECK: "b,l,r" %{{.*}}, %{{.*}}, %{{.*}} : (!llvm.struct<(i1, i1)>, !llvm.struct<(ptr<f32, 1>, ptr<f32, 1>)>, i32) -> !llvm.struct<()>
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tt.store %ptrs, %vs, %mask, {} : tensor<128xf32>
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return
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}
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