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Add lowering for TensorToStreamOp to LLVM.
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50 changes: 50 additions & 0 deletions
50
experimental/iterators/test/Conversion/IteratorsToLLVM/tensor-to-stream.mlir
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,50 @@ | ||
| // RUN: iterators-opt %s \ | ||
| // RUN: -convert-iterators-to-llvm \ | ||
| // RUN: | FileCheck --enable-var-scope %s | ||
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| // CHECK-LABEL: func private @iterators.tensor_to_stream.close.{{[0-9]+}}( | ||
| // CHECK-SAME: %[[ARG0:.*]]: !iterators.state<index, [[tensorType:.*]]>) -> | ||
| // CHECK-SAME: !iterators.state<index, [[tensorType]]> { | ||
| // CHECK-NEXT: return %[[arg0:.*]] : !iterators.state<index, [[tensorType]]> | ||
| // CHECK-NEXT: } | ||
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| // CHECK-LABEL: func private @iterators.tensor_to_stream.next.{{[0-9]+}}( | ||
| // CHECK-SAME: %[[ARG0:.*]]: !iterators.state<index, [[tensorType:.*]]>) -> | ||
| // CHECK-SAME: (!iterators.state<index, [[tensorType]]>, i1, [[tensorSliceType:.*]]>) { | ||
| // CHECK-NEXT: %[[V0:.*]] = iterators.extractvalue %[[arg0:.*]][0] : !iterators.state<index, [[tensorType]]> | ||
| // CHECK-NEXT: %[[V1:.*]] = iterators.extractvalue %[[arg0]][1] : !iterators.state<index, [[tensorType]]> | ||
| // CHECK-NEXT: %[[Vx:.*]] = arith.constant 0 : index | ||
| // CHECK-NEXT: %[[V2:.*]] = tensor.dim %[[V1]], %[[Vx]] : [[tensorType]] | ||
| // CHECK-NEXT: %[[V3:.*]] = arith.cmpi slt, %[[V0]], %[[V2]] : index | ||
| // CHECK-NEXT: %[[V4:.*]]:2 = scf.if %[[V3]] -> (!iterators.state<index, [[tensorType]]>, [[tensorSliceType]]>) { | ||
| // CHECK-NEXT: %[[C1:.*]] = arith.constant 2 : index | ||
| // CHECK-NEXT: %[[V5:.*]] = arith.addi %[[C1]], %[[V0]] : index | ||
| // CHECK-NEXT: %[[V6:.*]] = iterators.insertvalue %[[V5]] into %[[arg0]][0] : !iterators.state<index, [[tensorType]]> | ||
| // CHECK-NEXT: %[[V7:.*]] = tensor.extract_slice %[[V1]][%[[V0]]] [2] [1] : [[tensorType]] to [[tensorSliceType]]> | ||
| // CHECK-NEXT: scf.yield %[[V6]], %[[V7]] : !iterators.state<index, [[tensorType]]>, [[tensorSliceType]]> | ||
| // CHECK-NEXT: } else { | ||
| // CHECK-NEXT: %[[V5:.*]] = tensor.extract_slice %[[V1]][0] [2] [1] : [[tensorType]] to [[tensorSliceType]]> | ||
| // CHECK-NEXT: scf.yield %[[arg0]], %[[V5]] : !iterators.state<index, [[tensorType]]>, [[tensorSliceType]]> | ||
| // CHECK-NEXT: } | ||
| // CHECK-NEXT: return %[[V4]]#0, %[[V3]], %[[V4]]#1 : !iterators.state<index, [[tensorType]]>, i1, [[tensorSliceType]]> | ||
| // CHECK-NEXT: } | ||
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| // CHECK-LABEL: func private @iterators.tensor_to_stream.open.{{[0-9]+}}( | ||
| // CHECK-SAME: %[[ARG0:.*]]: !iterators.state<index, [[tensorType:.*]]>) -> | ||
| // CHECK-SAME: !iterators.state<index, [[tensorType]]> { | ||
| // CHECK-NEXT: %[[V0:.*]] = arith.constant 0 : index | ||
| // CHECK-NEXT: %[[V1:.*]] = iterators.insertvalue %[[V0]] into %[[ARG0]][0] : !iterators.state<index, [[tensorType]]> | ||
| // CHECK-NEXT: return %[[V1]] : !iterators.state<index, [[tensorType]]> | ||
| // CHECK-NEXT: } | ||
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| func.func @main(%tensor : tensor<?xi32>) { | ||
| // CHECK-LABEL: func.func @main( | ||
| // CHECK-SAME: %[[arg0:.*]]: [[tensorType:.*]]) { | ||
| %stream = iterators.tensor_to_stream %tensor : | ||
| tensor<?xi32> to !iterators.stream<tensor<2xi32>> | ||
| // CHECK-NEXT: %[[V1:.*]] = arith.constant 0 : index | ||
| // CHECK-NEXT: %[[V2:.*]] = iterators.createstate(%[[V1]], %[[arg0]]) : !iterators.state<index, [[tensorType]]> | ||
| return | ||
| // CHECK-NEXT: return | ||
| } | ||
| // CHECK-NEXT: } |
66 changes: 66 additions & 0 deletions
66
experimental/iterators/test/Integration/Dialect/Iterators/CPU/tensor-to-stream.mlir
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,66 @@ | ||
| // RUN: iterators-opt %s \ | ||
| // RUN: -convert-iterators-to-llvm \ | ||
| // RUN: -inline -decompose-iterator-states -canonicalize \ | ||
| // RUN: -one-shot-bufferize=bufferize-function-boundaries \ | ||
| // RUN: -expand-strided-metadata -finalize-memref-to-llvm \ | ||
| // RUN: -lower-affine -canonicalize \ | ||
| // RUN: -convert-scf-to-cf \ | ||
| // RUN: -convert-func-to-llvm \ | ||
| // RUN: -canonicalize \ | ||
| // RUN: -convert-cf-to-llvm \ | ||
| // RUN: | mlir-cpu-runner -e main -entry-point-result=void \ | ||
| // RUN: | FileCheck %s | ||
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| !struct_i32i32 = !llvm.struct<(i32, i32)> | ||
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| func.func private @tensor2xi32_to_struct(%input : tensor<2xi32>) -> !struct_i32i32 { | ||
| %zero = arith.constant 0 : index | ||
| %one = arith.constant 1 : index | ||
| %i0 = tensor.extract %input[%zero] : tensor<2xi32> | ||
| %i1 = tensor.extract %input[%one] : tensor<2xi32> | ||
| %undef = llvm.mlir.undef : !struct_i32i32 | ||
| %inserted = llvm.insertvalue %i0, %undef[0] : !struct_i32i32 | ||
| %result = llvm.insertvalue %i1, %inserted[1] : !struct_i32i32 | ||
| return %result : !struct_i32i32 | ||
| } | ||
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| func.func @test_tensor_to_stream_simple_static() { | ||
| iterators.print("test_tensor_to_stream_simple_static") | ||
| %tensor = arith.constant dense<[1, 2, 3, 4, 5, 6]> : tensor<6xi32> | ||
| %stream = iterators.tensor_to_stream %tensor : | ||
| tensor<6xi32> to !iterators.stream<tensor<2xi32>> | ||
| %mapped = "iterators.map"(%stream) {mapFuncRef = @tensor2xi32_to_struct} | ||
| : (!iterators.stream<tensor<2xi32>>) -> (!iterators.stream<!struct_i32i32>) | ||
| "iterators.sink"(%mapped) : (!iterators.stream<!struct_i32i32>) -> () | ||
| // CHECK-LABEL: test_tensor_to_stream_simple_static | ||
| // CHECK-NEXT: (1, 2) | ||
| // CHECK-NEXT: (3, 4) | ||
| // CHECK-NEXT: (5, 6) | ||
| // CHECK-NEXT: - | ||
| return | ||
| } | ||
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| func.func @test_tensor_to_stream_simple_dynamic(%tensor : tensor<?xi32>) { | ||
| iterators.print("test_tensor_to_stream_simple_dynamic") | ||
| %stream = iterators.tensor_to_stream %tensor : | ||
| tensor<?xi32> to !iterators.stream<tensor<2xi32>> | ||
| %mapped = "iterators.map"(%stream) {mapFuncRef = @tensor2xi32_to_struct} | ||
| : (!iterators.stream<tensor<2xi32>>) -> (!iterators.stream<!struct_i32i32>) | ||
| "iterators.sink"(%mapped) : (!iterators.stream<!struct_i32i32>) -> () | ||
| // CHECK-LABEL: test_tensor_to_stream_simple_dynamic | ||
| // CHECK-NEXT: (11, 12) | ||
| // CHECK-NEXT: (13, 14) | ||
| // CHECK-NEXT: (15, 16) | ||
| // CHECK-NEXT: - | ||
| return | ||
| } | ||
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| func.func @main() { | ||
| func.call @test_tensor_to_stream_simple_static() : () -> () | ||
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| %tensor = arith.constant dense<[11, 12, 13, 14, 15, 16]> : tensor<6xi32> | ||
| %dtensor = tensor.cast %tensor : tensor<6xi32> to tensor<?xi32> | ||
| func.call @test_tensor_to_stream_simple_dynamic(%dtensor) : (tensor<?xi32>) -> () | ||
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| return | ||
| } |