A `sparse_tensor.iterate` iterates over a sparse iteration space extracted from `sparse_tensor.extract_iteration_space` operation introduced in https://github.com/llvm/llvm-project/pull/88554.
28 lines
1.1 KiB
MLIR
28 lines
1.1 KiB
MLIR
// RUN: mlir-opt %s --loop-invariant-code-motion | FileCheck %s
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#CSR = #sparse_tensor.encoding<{
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map = (i, j) -> (
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i : dense,
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j : compressed
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)
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}>
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// Make sure that pure instructions are hoisted outside the loop.
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//
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// CHECK: sparse_tensor.values
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// CHECK: sparse_tensor.positions
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// CHECK: sparse_tensor.coordinate
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// CHECK: sparse_tensor.iterate
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func.func @sparse_iterate(%sp : tensor<?x?xf64, #CSR>) {
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%l1 = sparse_tensor.extract_iteration_space %sp lvls = 0 : tensor<?x?xf64, #CSR>
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-> !sparse_tensor.iter_space<#CSR, lvls = 0>
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sparse_tensor.iterate %it1 in %l1 at (%crd) : !sparse_tensor.iter_space<#CSR, lvls = 0> {
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%0 = sparse_tensor.values %sp : tensor<?x?xf64, #CSR> to memref<?xf64>
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%1 = sparse_tensor.positions %sp { level = 1 : index } : tensor<?x?xf64, #CSR> to memref<?xindex>
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%2 = sparse_tensor.coordinates %sp { level = 1 : index } : tensor<?x?xf64, #CSR> to memref<?xindex>
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"test.op"(%0, %1, %2) : (memref<?xf64>, memref<?xindex>, memref<?xindex>) -> ()
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}
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return
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}
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