Create the memref dialect and move dialect-specific ops from std dialect to this dialect. Moved ops: AllocOp -> MemRef_AllocOp AllocaOp -> MemRef_AllocaOp AssumeAlignmentOp -> MemRef_AssumeAlignmentOp DeallocOp -> MemRef_DeallocOp DimOp -> MemRef_DimOp MemRefCastOp -> MemRef_CastOp MemRefReinterpretCastOp -> MemRef_ReinterpretCastOp GetGlobalMemRefOp -> MemRef_GetGlobalOp GlobalMemRefOp -> MemRef_GlobalOp LoadOp -> MemRef_LoadOp PrefetchOp -> MemRef_PrefetchOp ReshapeOp -> MemRef_ReshapeOp StoreOp -> MemRef_StoreOp SubViewOp -> MemRef_SubViewOp TransposeOp -> MemRef_TransposeOp TensorLoadOp -> MemRef_TensorLoadOp TensorStoreOp -> MemRef_TensorStoreOp TensorToMemRefOp -> MemRef_BufferCastOp ViewOp -> MemRef_ViewOp The roadmap to split the memref dialect from std is discussed here: https://llvm.discourse.group/t/rfc-split-the-memref-dialect-from-std/2667 Differential Revision: https://reviews.llvm.org/D98041
29 lines
1.1 KiB
MLIR
29 lines
1.1 KiB
MLIR
// RUN: mlir-opt %s -affine-super-vectorize="virtual-vector-size=32,64,256 test-fastest-varying=2,1,0" | FileCheck %s
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func @vec3d(%A : memref<?x?x?xf32>) {
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%c0 = constant 0 : index
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%c1 = constant 1 : index
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%c2 = constant 2 : index
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%0 = memref.dim %A, %c0 : memref<?x?x?xf32>
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%1 = memref.dim %A, %c1 : memref<?x?x?xf32>
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%2 = memref.dim %A, %c2 : memref<?x?x?xf32>
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// CHECK: affine.for %{{.*}} = 0 to %{{.*}} {
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// CHECK: affine.for %{{.*}} = 0 to %{{.*}} {
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// CHECK: affine.for %{{.*}} = 0 to %{{.*}} step 32 {
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// CHECK: affine.for %{{.*}} = 0 to %{{.*}} step 64 {
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// CHECK: affine.for %{{.*}} = 0 to %{{.*}} step 256 {
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// CHECK: %{{.*}} = vector.transfer_read %{{.*}}[%{{.*}}, %{{.*}}, %{{.*}}], %{{.*}} : memref<?x?x?xf32>, vector<32x64x256xf32>
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affine.for %t0 = 0 to %0 {
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affine.for %t1 = 0 to %0 {
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affine.for %i0 = 0 to %0 {
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affine.for %i1 = 0 to %1 {
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affine.for %i2 = 0 to %2 {
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%a2 = affine.load %A[%i0, %i1, %i2] : memref<?x?x?xf32>
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}
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}
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}
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}
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}
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return
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}
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