dbe1be9aa4
lvlTypes = [ "compressed" ] to map = (d0) -> (d0 : compressed) lvlTypes = [ "dense" ] to map = (d0) -> (d0 : dense)
13 lines
533 B
MLIR
13 lines
533 B
MLIR
// RUN: mlir-opt %s -one-shot-bufferize -verify-diagnostics
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#SparseVector = #sparse_tensor.encoding<{
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map = (d0) -> (d0 : compressed)
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}>
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func.func @sparse_tensor_op(%arg0: tensor<64xf32, #SparseVector>) -> tensor<64xf32, #SparseVector> {
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// expected-error @below{{sparse_tensor ops must be bufferized with the sparse compiler}}
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// expected-error @below{{failed to bufferize op}}
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%0 = sparse_tensor.convert %arg0 : tensor<64xf32, #SparseVector> to tensor<64xf32, #SparseVector>
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return %0 : tensor<64xf32, #SparseVector>
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}
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