dce7a7cf69
The changes in this p.r. mostly center around the tests that use the flag sparse_compiler (also: sparse-compiler).
62 lines
2.8 KiB
MLIR
62 lines
2.8 KiB
MLIR
//--------------------------------------------------------------------------------------------------
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// WHEN CREATING A NEW TEST, PLEASE JUST COPY & PASTE WITHOUT EDITS.
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//
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// Set-up that's shared across all tests in this directory. In principle, this
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// config could be moved to lit.local.cfg. However, there are downstream users that
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// do not use these LIT config files. Hence why this is kept inline.
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//
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// DEFINE: %{sparsifier_opts} = enable-runtime-library=true
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// DEFINE: %{sparsifier_opts_sve} = enable-arm-sve=true %{sparsifier_opts}
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// DEFINE: %{compile} = mlir-opt %s --sparsifier="%{sparsifier_opts}"
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// DEFINE: %{compile_sve} = mlir-opt %s --sparsifier="%{sparsifier_opts_sve}"
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// DEFINE: %{run_libs} = -shared-libs=%mlir_c_runner_utils,%mlir_runner_utils
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// DEFINE: %{run_opts} = -e entry -entry-point-result=void
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// DEFINE: %{run} = mlir-cpu-runner %{run_opts} %{run_libs}
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// DEFINE: %{run_sve} = %mcr_aarch64_cmd --march=aarch64 --mattr="+sve" %{run_opts} %{run_libs}
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//
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// DEFINE: %{env} =
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//--------------------------------------------------------------------------------------------------
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// RUN: %{compile} | env %{env} %{run} | FileCheck %s
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//
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// Do the same run, but now with direct IR generation.
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// REDEFINE: %{sparsifier_opts} = enable-runtime-library=false
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// RUN: %{compile} | env %{env} %{run} | FileCheck %s
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#CSR_hi = #sparse_tensor.encoding<{
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map = (i, j) -> ( i : dense, j : loose_compressed)
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}>
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module {
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func.func @entry() {
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%c0 = arith.constant 0 : index
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%f0 = arith.constant 0.0 : f64
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%d = arith.constant dense<[[ 1.0, 2.0, 3.0, 4.0 ],
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[ 5.0, 6.0, 7.0, 8.0 ],
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[ 0.0, 0.0, 5.5, 0.0 ],
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[ 9.0, 10.0, 11.0, 12.0 ],
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[13.0, 14.0, 15.0, 16.0 ]]> : tensor<5x4xf64>
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%s = sparse_tensor.convert %d : tensor<5x4xf64> to tensor<5x4xf64, #CSR_hi>
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//
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// CHECK: ( 0, 4, 4, 8, 8, 9, 9, 13 )
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// CHECK-NEXT: ( 0, 1, 2, 3, 0, 1, 2, 3, 2, 0, 1, 2, 3, 0, 1, 2, 3 )
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// CHECK-NEXT: ( 1, 2, 3, 4, 5, 6, 7, 8, 5.5, 9, 10, 11, 12, 13, 14, 15, 16 )
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//
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%pos = sparse_tensor.positions %s {level = 1 : index } : tensor<5x4xf64, #CSR_hi> to memref<?xindex>
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%vecp = vector.transfer_read %pos[%c0], %c0 : memref<?xindex>, vector<8xindex>
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vector.print %vecp : vector<8xindex>
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%crd = sparse_tensor.coordinates %s {level = 1 : index } : tensor<5x4xf64, #CSR_hi> to memref<?xindex>
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%vecc = vector.transfer_read %crd[%c0], %c0 : memref<?xindex>, vector<17xindex>
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vector.print %vecc : vector<17xindex>
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%val = sparse_tensor.values %s : tensor<5x4xf64, #CSR_hi> to memref<?xf64>
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%vecv = vector.transfer_read %val[%c0], %f0 : memref<?xf64>, vector<17xf64>
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vector.print %vecv : vector<17xf64>
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// Release the resources.
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bufferization.dealloc_tensor %s: tensor<5x4xf64, #CSR_hi>
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return
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}
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}
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