76647fce13
This is a major step along the way towards the new STEA design. While a great deal of this patch is simple renaming, there are several significant changes as well. I've done my best to ensure that this patch retains the previous behavior and error-conditions, even though those are at odds with the eventual intended semantics of the `dimToLvl` mapping. Since the majority of the compiler does not yet support non-permutations, I've also added explicit assertions in places that previously had implicitly assumed it was dealing with permutations. Reviewed By: aartbik Differential Revision: https://reviews.llvm.org/D151505
75 lines
3.8 KiB
MLIR
75 lines
3.8 KiB
MLIR
// RUN: mlir-opt %s -post-sparsification-rewrite="enable-runtime-library=false enable-convert=false" | \
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// RUN: FileCheck %s
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#CSR = #sparse_tensor.encoding<{
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lvlTypes = ["dense", "compressed"]
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}>
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#CSC = #sparse_tensor.encoding<{
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lvlTypes = [ "dense", "compressed" ],
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dimToLvl = affine_map<(i, j) -> (j, i)>
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}>
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#COO = #sparse_tensor.encoding<{
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lvlTypes = [ "compressed-nu", "singleton" ]
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}>
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// CHECK-LABEL: func.func @sparse_new(
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// CHECK-SAME: %[[A:.*]]: !llvm.ptr<i8>) -> tensor<?x?xf32, #sparse_tensor.encoding<{ lvlTypes = [ "dense", "compressed" ] }>> {
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// CHECK: %[[COO:.*]] = sparse_tensor.new %[[A]] : !llvm.ptr<i8> to tensor<?x?xf32, #sparse_tensor.encoding<{ lvlTypes = [ "compressed-nu", "singleton" ] }>>
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// CHECK: %[[R:.*]] = sparse_tensor.convert %[[COO]]
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// CHECK: bufferization.dealloc_tensor %[[COO]]
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// CHECK: return %[[R]]
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func.func @sparse_new(%arg0: !llvm.ptr<i8>) -> tensor<?x?xf32, #CSR> {
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%0 = sparse_tensor.new %arg0 : !llvm.ptr<i8> to tensor<?x?xf32, #CSR>
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return %0 : tensor<?x?xf32, #CSR>
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}
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// CHECK-LABEL: func.func @sparse_new_csc(
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// CHECK-SAME: %[[A:.*]]: !llvm.ptr<i8>) -> tensor<?x?xf32, #sparse_tensor.encoding<{ lvlTypes = [ "dense", "compressed" ], dimToLvl = affine_map<(d0, d1) -> (d1, d0)> }>> {
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// CHECK: %[[COO:.*]] = sparse_tensor.new %[[A]] : !llvm.ptr<i8> to tensor<?x?xf32, #sparse_tensor.encoding<{ lvlTypes = [ "compressed-nu", "singleton" ], dimToLvl = affine_map<(d0, d1) -> (d1, d0)> }>>
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// CHECK: %[[R:.*]] = sparse_tensor.convert %[[COO]]
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// CHECK: bufferization.dealloc_tensor %[[COO]]
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// CHECK: return %[[R]]
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func.func @sparse_new_csc(%arg0: !llvm.ptr<i8>) -> tensor<?x?xf32, #CSC> {
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%0 = sparse_tensor.new %arg0 : !llvm.ptr<i8> to tensor<?x?xf32, #CSC>
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return %0 : tensor<?x?xf32, #CSC>
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}
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// CHECK-LABEL: func.func @sparse_new_coo(
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// CHECK-SAME: %[[A:.*]]: !llvm.ptr<i8>) -> tensor<?x?xf32, #sparse_tensor.encoding<{ lvlTypes = [ "compressed-nu", "singleton" ] }>> {
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// CHECK: %[[COO:.*]] = sparse_tensor.new %[[A]] : !llvm.ptr<i8> to tensor<?x?xf32, #sparse_tensor.encoding<{ lvlTypes = [ "compressed-nu", "singleton" ] }>>
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// CHECK: return %[[COO]]
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func.func @sparse_new_coo(%arg0: !llvm.ptr<i8>) -> tensor<?x?xf32, #COO> {
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%0 = sparse_tensor.new %arg0 : !llvm.ptr<i8> to tensor<?x?xf32, #COO>
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return %0 : tensor<?x?xf32, #COO>
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}
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// CHECK-LABEL: func.func @sparse_out(
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// CHECK-SAME: %[[A:.*]]: tensor<10x20xf32, #sparse_tensor.encoding<{ lvlTypes = [ "dense", "compressed" ] }>>,
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// CHECK-SAME: %[[B:.*]]: !llvm.ptr<i8>) {
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// CHECK-DAG: %[[C0:.*]] = arith.constant 0 : index
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// CHECK-DAG: %[[C1:.*]] = arith.constant 1 : index
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// CHECK-DAG: %[[C2:.*]] = arith.constant 2 : index
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// CHECK-DAG: %[[C10:.*]] = arith.constant 10 : index
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// CHECK-DAG: %[[C20:.*]] = arith.constant 20 : index
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// CHECK: %[[NNZ:.*]] = sparse_tensor.number_of_entries %[[A]]
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// CHECK: %[[DS:.*]] = memref.alloca(%[[C2]]) : memref<?xindex>
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// CHECK: memref.store %[[C10]], %[[DS]]{{\[}}%[[C0]]] : memref<?xindex>
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// CHECK: memref.store %[[C20]], %[[DS]]{{\[}}%[[C1]]] : memref<?xindex>
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// CHECK: %[[W:.*]] = call @createSparseTensorWriter(%[[B]])
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// CHECK: call @outSparseTensorWriterMetaData(%[[W]], %[[C2]], %[[NNZ]], %[[DS]])
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// CHECK: %[[V:.*]] = memref.alloca() : memref<f32>
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// CHECK: scf.for %{{.*}} = %[[C0]] to %[[C10]] step %[[C1]] {
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// CHECK: scf.for {{.*}} {
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// CHECK: func.call @outSparseTensorWriterNextF32(%[[W]], %[[C2]], %[[DS]], %[[V]])
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// CHECK: }
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// CHECK: }
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// CHECK: call @delSparseTensorWriter(%[[W]])
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// CHECK: return
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// CHECK: }
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func.func @sparse_out( %arg0: tensor<10x20xf32, #CSR>, %arg1: !llvm.ptr<i8>) -> () {
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sparse_tensor.out %arg0, %arg1 : tensor<10x20xf32, #CSR>, !llvm.ptr<i8>
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return
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}
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