305 lines
18 KiB
MLIR
305 lines
18 KiB
MLIR
// DEFINE: %{option} = enable-runtime-library=true
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// DEFINE: %{command} = mlir-opt %s --sparse-compiler=%{option} | \
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// DEFINE: mlir-cpu-runner \
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// DEFINE: -e entry -entry-point-result=void \
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// DEFINE: -shared-libs=%mlir_lib_dir/libmlir_c_runner_utils%shlibext | \
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// DEFINE: FileCheck %s
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//
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// RUN: %{command}
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//
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// Do the same run, but now with direct IR generation.
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// REDEFINE: %{option} = "enable-runtime-library=false enable-buffer-initialization=true"
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// RUN: %{command}
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//
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// Do the same run, but now with direct IR generation and vectorization.
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// REDEFINE: %{option} = "enable-runtime-library=false enable-buffer-initialization=true vl=2 reassociate-fp-reductions=true enable-index-optimizations=true"
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// RUN: %{command}
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#Tensor1 = #sparse_tensor.encoding<{
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dimLevelType = [ "compressed", "compressed", "compressed" ],
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dimOrdering = affine_map<(i,j,k) -> (i,j,k)>
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}>
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#Tensor2 = #sparse_tensor.encoding<{
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dimLevelType = [ "compressed", "compressed", "compressed" ],
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dimOrdering = affine_map<(i,j,k) -> (j,k,i)>
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}>
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#Tensor3 = #sparse_tensor.encoding<{
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dimLevelType = [ "compressed", "compressed", "compressed" ],
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dimOrdering = affine_map<(i,j,k) -> (k,i,j)>
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}>
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//
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// Integration test that tests conversions between sparse tensors.
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//
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module {
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//
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// Output utilities.
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//
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func.func @dumpf64(%arg0: memref<?xf64>) {
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%c0 = arith.constant 0 : index
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%d0 = arith.constant -1.0 : f64
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%0 = vector.transfer_read %arg0[%c0], %d0: memref<?xf64>, vector<24xf64>
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vector.print %0 : vector<24xf64>
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return
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}
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func.func @dumpidx(%arg0: memref<?xindex>) {
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%c0 = arith.constant 0 : index
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%d0 = arith.constant 0 : index
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%0 = vector.transfer_read %arg0[%c0], %d0: memref<?xindex>, vector<25xindex>
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vector.print %0 : vector<25xindex>
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return
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}
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//
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// Main driver.
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//
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func.func @entry() {
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%c0 = arith.constant 0 : index
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%c1 = arith.constant 1 : index
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%c2 = arith.constant 2 : index
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//
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// Initialize a 3-dim dense tensor.
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//
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%t = arith.constant dense<[
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[ [ 1.0, 2.0, 3.0, 4.0 ],
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[ 5.0, 6.0, 7.0, 8.0 ],
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[ 9.0, 10.0, 11.0, 12.0 ] ],
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[ [ 13.0, 14.0, 15.0, 16.0 ],
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[ 17.0, 18.0, 19.0, 20.0 ],
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[ 21.0, 22.0, 23.0, 24.0 ] ]
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]> : tensor<2x3x4xf64>
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//
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// Convert dense tensor directly to various sparse tensors.
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// tensor1: stored as 2x3x4
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// tensor2: stored as 3x4x2
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// tensor3: stored as 4x2x3
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//
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%1 = sparse_tensor.convert %t : tensor<2x3x4xf64> to tensor<2x3x4xf64, #Tensor1>
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%2 = sparse_tensor.convert %t : tensor<2x3x4xf64> to tensor<2x3x4xf64, #Tensor2>
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%3 = sparse_tensor.convert %t : tensor<2x3x4xf64> to tensor<2x3x4xf64, #Tensor3>
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//
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// Convert sparse tensor to various sparse tensors. Note that the result
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// should always correspond to the direct conversion, since the sparse
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// tensor formats have the ability to restore into the original ordering.
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//
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%a = sparse_tensor.convert %1 : tensor<2x3x4xf64, #Tensor1> to tensor<2x3x4xf64, #Tensor1>
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%b = sparse_tensor.convert %2 : tensor<2x3x4xf64, #Tensor2> to tensor<2x3x4xf64, #Tensor1>
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%c = sparse_tensor.convert %3 : tensor<2x3x4xf64, #Tensor3> to tensor<2x3x4xf64, #Tensor1>
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%d = sparse_tensor.convert %1 : tensor<2x3x4xf64, #Tensor1> to tensor<2x3x4xf64, #Tensor2>
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%e = sparse_tensor.convert %2 : tensor<2x3x4xf64, #Tensor2> to tensor<2x3x4xf64, #Tensor2>
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%f = sparse_tensor.convert %3 : tensor<2x3x4xf64, #Tensor3> to tensor<2x3x4xf64, #Tensor2>
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%g = sparse_tensor.convert %1 : tensor<2x3x4xf64, #Tensor1> to tensor<2x3x4xf64, #Tensor3>
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%h = sparse_tensor.convert %2 : tensor<2x3x4xf64, #Tensor2> to tensor<2x3x4xf64, #Tensor3>
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%i = sparse_tensor.convert %3 : tensor<2x3x4xf64, #Tensor3> to tensor<2x3x4xf64, #Tensor3>
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//
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// Check number_of_entries.
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//
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// CHECK-COUNT-12: 24
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%nv1 = sparse_tensor.number_of_entries %1 : tensor<2x3x4xf64, #Tensor1>
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%nv2 = sparse_tensor.number_of_entries %2 : tensor<2x3x4xf64, #Tensor2>
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%nv3 = sparse_tensor.number_of_entries %3 : tensor<2x3x4xf64, #Tensor3>
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%nav = sparse_tensor.number_of_entries %a : tensor<2x3x4xf64, #Tensor1>
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%nbv = sparse_tensor.number_of_entries %b : tensor<2x3x4xf64, #Tensor1>
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%ncv = sparse_tensor.number_of_entries %c : tensor<2x3x4xf64, #Tensor1>
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%ndv = sparse_tensor.number_of_entries %d : tensor<2x3x4xf64, #Tensor2>
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%nev = sparse_tensor.number_of_entries %e : tensor<2x3x4xf64, #Tensor2>
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%nfv = sparse_tensor.number_of_entries %f : tensor<2x3x4xf64, #Tensor2>
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%ngv = sparse_tensor.number_of_entries %g : tensor<2x3x4xf64, #Tensor3>
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%nhv = sparse_tensor.number_of_entries %h : tensor<2x3x4xf64, #Tensor3>
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%niv = sparse_tensor.number_of_entries %i : tensor<2x3x4xf64, #Tensor3>
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vector.print %nv1 : index
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vector.print %nv2 : index
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vector.print %nv3 : index
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vector.print %nav : index
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vector.print %nbv : index
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vector.print %ncv : index
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vector.print %ndv : index
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vector.print %nev : index
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vector.print %nfv : index
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vector.print %ngv : index
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vector.print %nhv : index
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vector.print %niv : index
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//
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// Check values.
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//
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// CHECK: ( 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24 )
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// CHECK-NEXT: ( 1, 13, 2, 14, 3, 15, 4, 16, 5, 17, 6, 18, 7, 19, 8, 20, 9, 21, 10, 22, 11, 23, 12, 24 )
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// CHECK-NEXT: ( 1, 5, 9, 13, 17, 21, 2, 6, 10, 14, 18, 22, 3, 7, 11, 15, 19, 23, 4, 8, 12, 16, 20, 24 )
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// CHECK-NEXT: ( 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24 )
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// CHECK-NEXT: ( 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24 )
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// CHECK-NEXT: ( 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24 )
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// CHECK-NEXT: ( 1, 13, 2, 14, 3, 15, 4, 16, 5, 17, 6, 18, 7, 19, 8, 20, 9, 21, 10, 22, 11, 23, 12, 24 )
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// CHECK-NEXT: ( 1, 13, 2, 14, 3, 15, 4, 16, 5, 17, 6, 18, 7, 19, 8, 20, 9, 21, 10, 22, 11, 23, 12, 24 )
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// CHECK-NEXT: ( 1, 13, 2, 14, 3, 15, 4, 16, 5, 17, 6, 18, 7, 19, 8, 20, 9, 21, 10, 22, 11, 23, 12, 24 )
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// CHECK-NEXT: ( 1, 5, 9, 13, 17, 21, 2, 6, 10, 14, 18, 22, 3, 7, 11, 15, 19, 23, 4, 8, 12, 16, 20, 24 )
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// CHECK-NEXT: ( 1, 5, 9, 13, 17, 21, 2, 6, 10, 14, 18, 22, 3, 7, 11, 15, 19, 23, 4, 8, 12, 16, 20, 24 )
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// CHECK-NEXT: ( 1, 5, 9, 13, 17, 21, 2, 6, 10, 14, 18, 22, 3, 7, 11, 15, 19, 23, 4, 8, 12, 16, 20, 24 )
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//
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%v1 = sparse_tensor.values %1 : tensor<2x3x4xf64, #Tensor1> to memref<?xf64>
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%v2 = sparse_tensor.values %2 : tensor<2x3x4xf64, #Tensor2> to memref<?xf64>
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%v3 = sparse_tensor.values %3 : tensor<2x3x4xf64, #Tensor3> to memref<?xf64>
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%av = sparse_tensor.values %a : tensor<2x3x4xf64, #Tensor1> to memref<?xf64>
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%bv = sparse_tensor.values %b : tensor<2x3x4xf64, #Tensor1> to memref<?xf64>
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%cv = sparse_tensor.values %c : tensor<2x3x4xf64, #Tensor1> to memref<?xf64>
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%dv = sparse_tensor.values %d : tensor<2x3x4xf64, #Tensor2> to memref<?xf64>
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%ev = sparse_tensor.values %e : tensor<2x3x4xf64, #Tensor2> to memref<?xf64>
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%fv = sparse_tensor.values %f : tensor<2x3x4xf64, #Tensor2> to memref<?xf64>
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%gv = sparse_tensor.values %g : tensor<2x3x4xf64, #Tensor3> to memref<?xf64>
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%hv = sparse_tensor.values %h : tensor<2x3x4xf64, #Tensor3> to memref<?xf64>
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%iv = sparse_tensor.values %i : tensor<2x3x4xf64, #Tensor3> to memref<?xf64>
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call @dumpf64(%v1) : (memref<?xf64>) -> ()
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call @dumpf64(%v2) : (memref<?xf64>) -> ()
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call @dumpf64(%v3) : (memref<?xf64>) -> ()
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call @dumpf64(%av) : (memref<?xf64>) -> ()
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call @dumpf64(%bv) : (memref<?xf64>) -> ()
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call @dumpf64(%cv) : (memref<?xf64>) -> ()
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call @dumpf64(%dv) : (memref<?xf64>) -> ()
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call @dumpf64(%ev) : (memref<?xf64>) -> ()
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call @dumpf64(%fv) : (memref<?xf64>) -> ()
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call @dumpf64(%gv) : (memref<?xf64>) -> ()
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call @dumpf64(%hv) : (memref<?xf64>) -> ()
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call @dumpf64(%iv) : (memref<?xf64>) -> ()
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//
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// Check indices.
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//
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// CHECK-NEXT: ( 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 )
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// CHECK-NEXT: ( 0, 1, 2, 0, 1, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 )
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// CHECK-NEXT: ( 0, 1, 2, 3, 0, 1, 2, 3, 0, 1, 2, 3, 0, 1, 2, 3, 0, 1, 2, 3, 0, 1, 2, 3, 0 )
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// CHECK-NEXT: ( 0, 1, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 )
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// CHECK-NEXT: ( 0, 1, 2, 3, 0, 1, 2, 3, 0, 1, 2, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 )
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// CHECK-NEXT: ( 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0 )
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// CHECK-NEXT: ( 0, 1, 2, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 )
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// CHECK-NEXT: ( 0, 1, 0, 1, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 )
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// CHECK-NEXT: ( 0, 1, 2, 0, 1, 2, 0, 1, 2, 0, 1, 2, 0, 1, 2, 0, 1, 2, 0, 1, 2, 0, 1, 2, 0 )
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// CHECK-NEXT: ( 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 )
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// CHECK-NEXT: ( 0, 1, 2, 0, 1, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 )
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// CHECK-NEXT: ( 0, 1, 2, 3, 0, 1, 2, 3, 0, 1, 2, 3, 0, 1, 2, 3, 0, 1, 2, 3, 0, 1, 2, 3, 0 )
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// CHECK-NEXT: ( 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 )
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// CHECK-NEXT: ( 0, 1, 2, 0, 1, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 )
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// CHECK-NEXT: ( 0, 1, 2, 3, 0, 1, 2, 3, 0, 1, 2, 3, 0, 1, 2, 3, 0, 1, 2, 3, 0, 1, 2, 3, 0 )
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// CHECK-NEXT: ( 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 )
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// CHECK-NEXT: ( 0, 1, 2, 0, 1, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 )
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// CHECK-NEXT: ( 0, 1, 2, 3, 0, 1, 2, 3, 0, 1, 2, 3, 0, 1, 2, 3, 0, 1, 2, 3, 0, 1, 2, 3, 0 )
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// CHECK-NEXT: ( 0, 1, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 )
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// CHECK-NEXT: ( 0, 1, 2, 3, 0, 1, 2, 3, 0, 1, 2, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 )
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// CHECK-NEXT: ( 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0 )
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// CHECK-NEXT: ( 0, 1, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 )
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// CHECK-NEXT: ( 0, 1, 2, 3, 0, 1, 2, 3, 0, 1, 2, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 )
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// CHECK-NEXT: ( 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0 )
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// CHECK-NEXT: ( 0, 1, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 )
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// CHECK-NEXT: ( 0, 1, 2, 3, 0, 1, 2, 3, 0, 1, 2, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 )
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// CHECK-NEXT: ( 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0 )
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// CHECK-NEXT: ( 0, 1, 2, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 )
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// CHECK-NEXT: ( 0, 1, 0, 1, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 )
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// CHECK-NEXT: ( 0, 1, 2, 0, 1, 2, 0, 1, 2, 0, 1, 2, 0, 1, 2, 0, 1, 2, 0, 1, 2, 0, 1, 2, 0 )
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// CHECK-NEXT: ( 0, 1, 2, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 )
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// CHECK-NEXT: ( 0, 1, 0, 1, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 )
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// CHECK-NEXT: ( 0, 1, 2, 0, 1, 2, 0, 1, 2, 0, 1, 2, 0, 1, 2, 0, 1, 2, 0, 1, 2, 0, 1, 2, 0 )
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// CHECK-NEXT: ( 0, 1, 2, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 )
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// CHECK-NEXT: ( 0, 1, 0, 1, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 )
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// CHECK-NEXT: ( 0, 1, 2, 0, 1, 2, 0, 1, 2, 0, 1, 2, 0, 1, 2, 0, 1, 2, 0, 1, 2, 0, 1, 2, 0 )
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//
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%v10 = sparse_tensor.indices %1 { dimension = 0 : index } : tensor<2x3x4xf64, #Tensor1> to memref<?xindex>
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%v11 = sparse_tensor.indices %1 { dimension = 1 : index } : tensor<2x3x4xf64, #Tensor1> to memref<?xindex>
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%v12 = sparse_tensor.indices %1 { dimension = 2 : index } : tensor<2x3x4xf64, #Tensor1> to memref<?xindex>
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%v20 = sparse_tensor.indices %2 { dimension = 0 : index } : tensor<2x3x4xf64, #Tensor2> to memref<?xindex>
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%v21 = sparse_tensor.indices %2 { dimension = 1 : index } : tensor<2x3x4xf64, #Tensor2> to memref<?xindex>
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%v22 = sparse_tensor.indices %2 { dimension = 2 : index } : tensor<2x3x4xf64, #Tensor2> to memref<?xindex>
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%v30 = sparse_tensor.indices %3 { dimension = 0 : index } : tensor<2x3x4xf64, #Tensor3> to memref<?xindex>
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%v31 = sparse_tensor.indices %3 { dimension = 1 : index } : tensor<2x3x4xf64, #Tensor3> to memref<?xindex>
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%v32 = sparse_tensor.indices %3 { dimension = 2 : index } : tensor<2x3x4xf64, #Tensor3> to memref<?xindex>
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%a10 = sparse_tensor.indices %a { dimension = 0 : index } : tensor<2x3x4xf64, #Tensor1> to memref<?xindex>
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%a11 = sparse_tensor.indices %a { dimension = 1 : index } : tensor<2x3x4xf64, #Tensor1> to memref<?xindex>
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%a12 = sparse_tensor.indices %a { dimension = 2 : index } : tensor<2x3x4xf64, #Tensor1> to memref<?xindex>
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%b10 = sparse_tensor.indices %b { dimension = 0 : index } : tensor<2x3x4xf64, #Tensor1> to memref<?xindex>
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%b11 = sparse_tensor.indices %b { dimension = 1 : index } : tensor<2x3x4xf64, #Tensor1> to memref<?xindex>
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%b12 = sparse_tensor.indices %b { dimension = 2 : index } : tensor<2x3x4xf64, #Tensor1> to memref<?xindex>
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%c10 = sparse_tensor.indices %c { dimension = 0 : index } : tensor<2x3x4xf64, #Tensor1> to memref<?xindex>
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%c11 = sparse_tensor.indices %c { dimension = 1 : index } : tensor<2x3x4xf64, #Tensor1> to memref<?xindex>
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%c12 = sparse_tensor.indices %c { dimension = 2 : index } : tensor<2x3x4xf64, #Tensor1> to memref<?xindex>
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%d20 = sparse_tensor.indices %d { dimension = 0 : index } : tensor<2x3x4xf64, #Tensor2> to memref<?xindex>
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%d21 = sparse_tensor.indices %d { dimension = 1 : index } : tensor<2x3x4xf64, #Tensor2> to memref<?xindex>
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%d22 = sparse_tensor.indices %d { dimension = 2 : index } : tensor<2x3x4xf64, #Tensor2> to memref<?xindex>
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%e20 = sparse_tensor.indices %e { dimension = 0 : index } : tensor<2x3x4xf64, #Tensor2> to memref<?xindex>
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%e21 = sparse_tensor.indices %e { dimension = 1 : index } : tensor<2x3x4xf64, #Tensor2> to memref<?xindex>
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%e22 = sparse_tensor.indices %e { dimension = 2 : index } : tensor<2x3x4xf64, #Tensor2> to memref<?xindex>
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%f20 = sparse_tensor.indices %f { dimension = 0 : index } : tensor<2x3x4xf64, #Tensor2> to memref<?xindex>
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%f21 = sparse_tensor.indices %f { dimension = 1 : index } : tensor<2x3x4xf64, #Tensor2> to memref<?xindex>
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%f22 = sparse_tensor.indices %f { dimension = 2 : index } : tensor<2x3x4xf64, #Tensor2> to memref<?xindex>
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%g30 = sparse_tensor.indices %g { dimension = 0 : index } : tensor<2x3x4xf64, #Tensor3> to memref<?xindex>
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%g31 = sparse_tensor.indices %g { dimension = 1 : index } : tensor<2x3x4xf64, #Tensor3> to memref<?xindex>
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%g32 = sparse_tensor.indices %g { dimension = 2 : index } : tensor<2x3x4xf64, #Tensor3> to memref<?xindex>
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%h30 = sparse_tensor.indices %h { dimension = 0 : index } : tensor<2x3x4xf64, #Tensor3> to memref<?xindex>
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%h31 = sparse_tensor.indices %h { dimension = 1 : index } : tensor<2x3x4xf64, #Tensor3> to memref<?xindex>
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%h32 = sparse_tensor.indices %h { dimension = 2 : index } : tensor<2x3x4xf64, #Tensor3> to memref<?xindex>
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%i30 = sparse_tensor.indices %i { dimension = 0 : index } : tensor<2x3x4xf64, #Tensor3> to memref<?xindex>
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%i31 = sparse_tensor.indices %i { dimension = 1 : index } : tensor<2x3x4xf64, #Tensor3> to memref<?xindex>
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%i32 = sparse_tensor.indices %i { dimension = 2 : index } : tensor<2x3x4xf64, #Tensor3> to memref<?xindex>
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|
|
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call @dumpidx(%v10) : (memref<?xindex>) -> ()
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call @dumpidx(%v11) : (memref<?xindex>) -> ()
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call @dumpidx(%v12) : (memref<?xindex>) -> ()
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call @dumpidx(%v20) : (memref<?xindex>) -> ()
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call @dumpidx(%v21) : (memref<?xindex>) -> ()
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call @dumpidx(%v22) : (memref<?xindex>) -> ()
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call @dumpidx(%v30) : (memref<?xindex>) -> ()
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call @dumpidx(%v31) : (memref<?xindex>) -> ()
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call @dumpidx(%v32) : (memref<?xindex>) -> ()
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|
|
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call @dumpidx(%a10) : (memref<?xindex>) -> ()
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call @dumpidx(%a11) : (memref<?xindex>) -> ()
|
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call @dumpidx(%a12) : (memref<?xindex>) -> ()
|
|
call @dumpidx(%b10) : (memref<?xindex>) -> ()
|
|
call @dumpidx(%b11) : (memref<?xindex>) -> ()
|
|
call @dumpidx(%b12) : (memref<?xindex>) -> ()
|
|
call @dumpidx(%c10) : (memref<?xindex>) -> ()
|
|
call @dumpidx(%c11) : (memref<?xindex>) -> ()
|
|
call @dumpidx(%c12) : (memref<?xindex>) -> ()
|
|
|
|
call @dumpidx(%d20) : (memref<?xindex>) -> ()
|
|
call @dumpidx(%d21) : (memref<?xindex>) -> ()
|
|
call @dumpidx(%d22) : (memref<?xindex>) -> ()
|
|
call @dumpidx(%e20) : (memref<?xindex>) -> ()
|
|
call @dumpidx(%e21) : (memref<?xindex>) -> ()
|
|
call @dumpidx(%e22) : (memref<?xindex>) -> ()
|
|
call @dumpidx(%f20) : (memref<?xindex>) -> ()
|
|
call @dumpidx(%f21) : (memref<?xindex>) -> ()
|
|
call @dumpidx(%f22) : (memref<?xindex>) -> ()
|
|
|
|
call @dumpidx(%g30) : (memref<?xindex>) -> ()
|
|
call @dumpidx(%g31) : (memref<?xindex>) -> ()
|
|
call @dumpidx(%g32) : (memref<?xindex>) -> ()
|
|
call @dumpidx(%h30) : (memref<?xindex>) -> ()
|
|
call @dumpidx(%h31) : (memref<?xindex>) -> ()
|
|
call @dumpidx(%h32) : (memref<?xindex>) -> ()
|
|
call @dumpidx(%i30) : (memref<?xindex>) -> ()
|
|
call @dumpidx(%i31) : (memref<?xindex>) -> ()
|
|
call @dumpidx(%i32) : (memref<?xindex>) -> ()
|
|
|
|
// Release the resources.
|
|
bufferization.dealloc_tensor %1 : tensor<2x3x4xf64, #Tensor1>
|
|
bufferization.dealloc_tensor %2 : tensor<2x3x4xf64, #Tensor2>
|
|
bufferization.dealloc_tensor %3 : tensor<2x3x4xf64, #Tensor3>
|
|
bufferization.dealloc_tensor %b : tensor<2x3x4xf64, #Tensor1>
|
|
bufferization.dealloc_tensor %c : tensor<2x3x4xf64, #Tensor1>
|
|
bufferization.dealloc_tensor %d : tensor<2x3x4xf64, #Tensor2>
|
|
bufferization.dealloc_tensor %f : tensor<2x3x4xf64, #Tensor2>
|
|
bufferization.dealloc_tensor %g : tensor<2x3x4xf64, #Tensor3>
|
|
bufferization.dealloc_tensor %h : tensor<2x3x4xf64, #Tensor3>
|
|
|
|
return
|
|
}
|
|
}
|