| // RUN: mlir-opt %s \ |
| // RUN: -sparsification -sparse-tensor-conversion \ |
| // RUN: -linalg-bufferize -convert-linalg-to-loops \ |
| // RUN: -convert-vector-to-scf -convert-scf-to-std \ |
| // RUN: -func-bufferize -tensor-constant-bufferize -tensor-bufferize \ |
| // RUN: -std-bufferize -finalizing-bufferize \ |
| // RUN: -convert-vector-to-llvm -convert-memref-to-llvm -convert-std-to-llvm \ |
| // RUN: -reconcile-unrealized-casts \ |
| // RUN: | \ |
| // RUN: mlir-cpu-runner \ |
| // RUN: -e entry -entry-point-result=void \ |
| // RUN: -shared-libs=%mlir_integration_test_dir/libmlir_c_runner_utils%shlibext \ |
| // RUN: | \ |
| // RUN: FileCheck %s |
| |
| #Tensor1 = #sparse_tensor.encoding<{ |
| dimLevelType = [ "compressed", "compressed", "compressed" ], |
| dimOrdering = affine_map<(i,j,k) -> (i,j,k)> |
| }> |
| |
| #Tensor2 = #sparse_tensor.encoding<{ |
| dimLevelType = [ "compressed", "compressed", "compressed" ], |
| dimOrdering = affine_map<(i,j,k) -> (j,k,i)> |
| }> |
| |
| #Tensor3 = #sparse_tensor.encoding<{ |
| dimLevelType = [ "compressed", "compressed", "compressed" ], |
| dimOrdering = affine_map<(i,j,k) -> (k,i,j)> |
| }> |
| |
| #Tensor4 = #sparse_tensor.encoding<{ |
| dimLevelType = [ "dense", "compressed", "compressed" ], |
| dimOrdering = affine_map<(i,j,k) -> (i,j,k)> |
| }> |
| |
| #Tensor5 = #sparse_tensor.encoding<{ |
| dimLevelType = [ "dense", "compressed", "compressed" ], |
| dimOrdering = affine_map<(i,j,k) -> (j,k,i)> |
| }> |
| |
| #Tensor6 = #sparse_tensor.encoding<{ |
| dimLevelType = [ "dense", "compressed", "compressed" ], |
| dimOrdering = affine_map<(i,j,k) -> (k,i,j)> |
| }> |
| |
| // |
| // Integration test that tests conversions from sparse to dense tensors. |
| // |
| module { |
| // |
| // Utilities for output and releasing memory. |
| // |
| func @dump(%arg0: tensor<2x3x4xf64>) { |
| %c0 = arith.constant 0 : index |
| %d0 = arith.constant -1.0 : f64 |
| %0 = vector.transfer_read %arg0[%c0, %c0, %c0], %d0: tensor<2x3x4xf64>, vector<2x3x4xf64> |
| vector.print %0 : vector<2x3x4xf64> |
| return |
| } |
| func @dumpAndRelease_234(%arg0: tensor<2x3x4xf64>) { |
| call @dump(%arg0) : (tensor<2x3x4xf64>) -> () |
| %1 = bufferization.to_memref %arg0 : memref<2x3x4xf64> |
| memref.dealloc %1 : memref<2x3x4xf64> |
| return |
| } |
| func @dumpAndRelease_p34(%arg0: tensor<?x3x4xf64>) { |
| %0 = tensor.cast %arg0 : tensor<?x3x4xf64> to tensor<2x3x4xf64> |
| call @dump(%0) : (tensor<2x3x4xf64>) -> () |
| %1 = bufferization.to_memref %arg0 : memref<?x3x4xf64> |
| memref.dealloc %1 : memref<?x3x4xf64> |
| return |
| } |
| func @dumpAndRelease_2p4(%arg0: tensor<2x?x4xf64>) { |
| %0 = tensor.cast %arg0 : tensor<2x?x4xf64> to tensor<2x3x4xf64> |
| call @dump(%0) : (tensor<2x3x4xf64>) -> () |
| %1 = bufferization.to_memref %arg0 : memref<2x?x4xf64> |
| memref.dealloc %1 : memref<2x?x4xf64> |
| return |
| } |
| func @dumpAndRelease_23p(%arg0: tensor<2x3x?xf64>) { |
| %0 = tensor.cast %arg0 : tensor<2x3x?xf64> to tensor<2x3x4xf64> |
| call @dump(%0) : (tensor<2x3x4xf64>) -> () |
| %1 = bufferization.to_memref %arg0 : memref<2x3x?xf64> |
| memref.dealloc %1 : memref<2x3x?xf64> |
| return |
| } |
| func @dumpAndRelease_2pp(%arg0: tensor<2x?x?xf64>) { |
| %0 = tensor.cast %arg0 : tensor<2x?x?xf64> to tensor<2x3x4xf64> |
| call @dump(%0) : (tensor<2x3x4xf64>) -> () |
| %1 = bufferization.to_memref %arg0 : memref<2x?x?xf64> |
| memref.dealloc %1 : memref<2x?x?xf64> |
| return |
| } |
| func @dumpAndRelease_p3p(%arg0: tensor<?x3x?xf64>) { |
| %0 = tensor.cast %arg0 : tensor<?x3x?xf64> to tensor<2x3x4xf64> |
| call @dump(%0) : (tensor<2x3x4xf64>) -> () |
| %1 = bufferization.to_memref %arg0 : memref<?x3x?xf64> |
| memref.dealloc %1 : memref<?x3x?xf64> |
| return |
| } |
| func @dumpAndRelease_pp4(%arg0: tensor<?x?x4xf64>) { |
| %0 = tensor.cast %arg0 : tensor<?x?x4xf64> to tensor<2x3x4xf64> |
| call @dump(%0) : (tensor<2x3x4xf64>) -> () |
| %1 = bufferization.to_memref %arg0 : memref<?x?x4xf64> |
| memref.dealloc %1 : memref<?x?x4xf64> |
| return |
| } |
| func @dumpAndRelease_ppp(%arg0: tensor<?x?x?xf64>) { |
| %0 = tensor.cast %arg0 : tensor<?x?x?xf64> to tensor<2x3x4xf64> |
| call @dump(%0) : (tensor<2x3x4xf64>) -> () |
| %1 = bufferization.to_memref %arg0 : memref<?x?x?xf64> |
| memref.dealloc %1 : memref<?x?x?xf64> |
| return |
| } |
| |
| // |
| // Main driver. |
| // |
| func @entry() { |
| // |
| // Initialize a 3-dim dense tensor. |
| // |
| %src = arith.constant dense<[ |
| [ [ 1.0, 2.0, 3.0, 4.0 ], |
| [ 5.0, 6.0, 7.0, 8.0 ], |
| [ 9.0, 10.0, 11.0, 12.0 ] ], |
| [ [ 13.0, 14.0, 15.0, 16.0 ], |
| [ 17.0, 18.0, 19.0, 20.0 ], |
| [ 21.0, 22.0, 23.0, 24.0 ] ] |
| ]> : tensor<2x3x4xf64> |
| |
| // |
| // Convert dense tensor directly to various sparse tensors. |
| // |
| %s2341 = sparse_tensor.convert %src : tensor<2x3x4xf64> to tensor<2x3x4xf64, #Tensor1> |
| %s2342 = sparse_tensor.convert %src : tensor<2x3x4xf64> to tensor<2x3x4xf64, #Tensor2> |
| %s2343 = sparse_tensor.convert %src : tensor<2x3x4xf64> to tensor<2x3x4xf64, #Tensor3> |
| %s2344 = sparse_tensor.convert %src : tensor<2x3x4xf64> to tensor<2x3x4xf64, #Tensor4> |
| %s2345 = sparse_tensor.convert %src : tensor<2x3x4xf64> to tensor<2x3x4xf64, #Tensor5> |
| %s2346 = sparse_tensor.convert %src : tensor<2x3x4xf64> to tensor<2x3x4xf64, #Tensor6> |
| |
| %sp344 = sparse_tensor.convert %src : tensor<2x3x4xf64> to tensor<?x3x4xf64, #Tensor4> |
| %sp345 = sparse_tensor.convert %src : tensor<2x3x4xf64> to tensor<?x3x4xf64, #Tensor5> |
| %sp346 = sparse_tensor.convert %src : tensor<2x3x4xf64> to tensor<?x3x4xf64, #Tensor6> |
| %s2p44 = sparse_tensor.convert %src : tensor<2x3x4xf64> to tensor<2x?x4xf64, #Tensor4> |
| %s2p45 = sparse_tensor.convert %src : tensor<2x3x4xf64> to tensor<2x?x4xf64, #Tensor5> |
| %s2p46 = sparse_tensor.convert %src : tensor<2x3x4xf64> to tensor<2x?x4xf64, #Tensor6> |
| %s23p4 = sparse_tensor.convert %src : tensor<2x3x4xf64> to tensor<2x3x?xf64, #Tensor4> |
| %s23p5 = sparse_tensor.convert %src : tensor<2x3x4xf64> to tensor<2x3x?xf64, #Tensor5> |
| %s23p6 = sparse_tensor.convert %src : tensor<2x3x4xf64> to tensor<2x3x?xf64, #Tensor6> |
| %s2pp4 = sparse_tensor.convert %src : tensor<2x3x4xf64> to tensor<2x?x?xf64, #Tensor4> |
| %s2pp5 = sparse_tensor.convert %src : tensor<2x3x4xf64> to tensor<2x?x?xf64, #Tensor5> |
| %s2pp6 = sparse_tensor.convert %src : tensor<2x3x4xf64> to tensor<2x?x?xf64, #Tensor6> |
| |
| // |
| // Convert sparse tensor back to dense. |
| // |
| %d2341 = sparse_tensor.convert %s2341 : tensor<2x3x4xf64, #Tensor1> to tensor<2x3x4xf64> |
| %d2342 = sparse_tensor.convert %s2342 : tensor<2x3x4xf64, #Tensor2> to tensor<2x3x4xf64> |
| %d2343 = sparse_tensor.convert %s2343 : tensor<2x3x4xf64, #Tensor3> to tensor<2x3x4xf64> |
| %d2344 = sparse_tensor.convert %s2344 : tensor<2x3x4xf64, #Tensor4> to tensor<2x3x4xf64> |
| %d2345 = sparse_tensor.convert %s2345 : tensor<2x3x4xf64, #Tensor5> to tensor<2x3x4xf64> |
| %d2346 = sparse_tensor.convert %s2346 : tensor<2x3x4xf64, #Tensor6> to tensor<2x3x4xf64> |
| |
| %dp344 = sparse_tensor.convert %sp344 : tensor<?x3x4xf64, #Tensor4> to tensor<?x3x4xf64> |
| %dp345 = sparse_tensor.convert %sp345 : tensor<?x3x4xf64, #Tensor5> to tensor<?x3x4xf64> |
| %dp346 = sparse_tensor.convert %sp346 : tensor<?x3x4xf64, #Tensor6> to tensor<?x3x4xf64> |
| %d2p44 = sparse_tensor.convert %s2p44 : tensor<2x?x4xf64, #Tensor4> to tensor<2x?x4xf64> |
| %d2p45 = sparse_tensor.convert %s2p45 : tensor<2x?x4xf64, #Tensor5> to tensor<2x?x4xf64> |
| %d2p46 = sparse_tensor.convert %s2p46 : tensor<2x?x4xf64, #Tensor6> to tensor<2x?x4xf64> |
| %d23p4 = sparse_tensor.convert %s23p4 : tensor<2x3x?xf64, #Tensor4> to tensor<2x3x?xf64> |
| %d23p5 = sparse_tensor.convert %s23p5 : tensor<2x3x?xf64, #Tensor5> to tensor<2x3x?xf64> |
| %d23p6 = sparse_tensor.convert %s23p6 : tensor<2x3x?xf64, #Tensor6> to tensor<2x3x?xf64> |
| %d2pp4 = sparse_tensor.convert %s2pp4 : tensor<2x?x?xf64, #Tensor4> to tensor<2x?x?xf64> |
| %d2pp5 = sparse_tensor.convert %s2pp5 : tensor<2x?x?xf64, #Tensor5> to tensor<2x?x?xf64> |
| %d2pp6 = sparse_tensor.convert %s2pp6 : tensor<2x?x?xf64, #Tensor6> to tensor<2x?x?xf64> |
| |
| %dp3p4 = sparse_tensor.convert %sp344 : tensor<?x3x4xf64, #Tensor4> to tensor<?x3x?xf64> |
| %dp3p5 = sparse_tensor.convert %sp345 : tensor<?x3x4xf64, #Tensor5> to tensor<?x3x?xf64> |
| %dp3p6 = sparse_tensor.convert %sp346 : tensor<?x3x4xf64, #Tensor6> to tensor<?x3x?xf64> |
| %dpp44 = sparse_tensor.convert %s2p44 : tensor<2x?x4xf64, #Tensor4> to tensor<?x?x4xf64> |
| %dpp45 = sparse_tensor.convert %s2p45 : tensor<2x?x4xf64, #Tensor5> to tensor<?x?x4xf64> |
| %dpp46 = sparse_tensor.convert %s2p46 : tensor<2x?x4xf64, #Tensor6> to tensor<?x?x4xf64> |
| %dppp4 = sparse_tensor.convert %s2pp4 : tensor<2x?x?xf64, #Tensor4> to tensor<?x?x?xf64> |
| %dppp5 = sparse_tensor.convert %s2pp5 : tensor<2x?x?xf64, #Tensor5> to tensor<?x?x?xf64> |
| %dppp6 = sparse_tensor.convert %s2pp6 : tensor<2x?x?xf64, #Tensor6> to tensor<?x?x?xf64> |
| |
| // |
| // Check round-trip equality. And release dense tensors. |
| // |
| // CHECK-COUNT-28: ( ( ( 1, 2, 3, 4 ), ( 5, 6, 7, 8 ), ( 9, 10, 11, 12 ) ), ( ( 13, 14, 15, 16 ), ( 17, 18, 19, 20 ), ( 21, 22, 23, 24 ) ) ) |
| call @dump(%src) : (tensor<2x3x4xf64>) -> () |
| call @dumpAndRelease_234(%d2341) : (tensor<2x3x4xf64>) -> () |
| call @dumpAndRelease_234(%d2342) : (tensor<2x3x4xf64>) -> () |
| call @dumpAndRelease_234(%d2343) : (tensor<2x3x4xf64>) -> () |
| call @dumpAndRelease_234(%d2344) : (tensor<2x3x4xf64>) -> () |
| call @dumpAndRelease_234(%d2345) : (tensor<2x3x4xf64>) -> () |
| call @dumpAndRelease_234(%d2346) : (tensor<2x3x4xf64>) -> () |
| call @dumpAndRelease_p34(%dp344) : (tensor<?x3x4xf64>) -> () |
| call @dumpAndRelease_p34(%dp345) : (tensor<?x3x4xf64>) -> () |
| call @dumpAndRelease_p34(%dp346) : (tensor<?x3x4xf64>) -> () |
| call @dumpAndRelease_2p4(%d2p44) : (tensor<2x?x4xf64>) -> () |
| call @dumpAndRelease_2p4(%d2p45) : (tensor<2x?x4xf64>) -> () |
| call @dumpAndRelease_2p4(%d2p46) : (tensor<2x?x4xf64>) -> () |
| call @dumpAndRelease_23p(%d23p4) : (tensor<2x3x?xf64>) -> () |
| call @dumpAndRelease_23p(%d23p5) : (tensor<2x3x?xf64>) -> () |
| call @dumpAndRelease_23p(%d23p6) : (tensor<2x3x?xf64>) -> () |
| call @dumpAndRelease_2pp(%d2pp4) : (tensor<2x?x?xf64>) -> () |
| call @dumpAndRelease_2pp(%d2pp5) : (tensor<2x?x?xf64>) -> () |
| call @dumpAndRelease_2pp(%d2pp6) : (tensor<2x?x?xf64>) -> () |
| call @dumpAndRelease_p3p(%dp3p4) : (tensor<?x3x?xf64>) -> () |
| call @dumpAndRelease_p3p(%dp3p5) : (tensor<?x3x?xf64>) -> () |
| call @dumpAndRelease_p3p(%dp3p6) : (tensor<?x3x?xf64>) -> () |
| call @dumpAndRelease_pp4(%dpp44) : (tensor<?x?x4xf64>) -> () |
| call @dumpAndRelease_pp4(%dpp45) : (tensor<?x?x4xf64>) -> () |
| call @dumpAndRelease_pp4(%dpp46) : (tensor<?x?x4xf64>) -> () |
| call @dumpAndRelease_ppp(%dppp4) : (tensor<?x?x?xf64>) -> () |
| call @dumpAndRelease_ppp(%dppp5) : (tensor<?x?x?xf64>) -> () |
| call @dumpAndRelease_ppp(%dppp6) : (tensor<?x?x?xf64>) -> () |
| |
| // |
| // Release sparse tensors. |
| // |
| sparse_tensor.release %s2341 : tensor<2x3x4xf64, #Tensor1> |
| sparse_tensor.release %s2342 : tensor<2x3x4xf64, #Tensor2> |
| sparse_tensor.release %s2343 : tensor<2x3x4xf64, #Tensor3> |
| sparse_tensor.release %s2344 : tensor<2x3x4xf64, #Tensor4> |
| sparse_tensor.release %s2345 : tensor<2x3x4xf64, #Tensor5> |
| sparse_tensor.release %s2346 : tensor<2x3x4xf64, #Tensor6> |
| sparse_tensor.release %sp344 : tensor<?x3x4xf64, #Tensor4> |
| sparse_tensor.release %sp345 : tensor<?x3x4xf64, #Tensor5> |
| sparse_tensor.release %sp346 : tensor<?x3x4xf64, #Tensor6> |
| sparse_tensor.release %s2p44 : tensor<2x?x4xf64, #Tensor4> |
| sparse_tensor.release %s2p45 : tensor<2x?x4xf64, #Tensor5> |
| sparse_tensor.release %s2p46 : tensor<2x?x4xf64, #Tensor6> |
| sparse_tensor.release %s23p4 : tensor<2x3x?xf64, #Tensor4> |
| sparse_tensor.release %s23p5 : tensor<2x3x?xf64, #Tensor5> |
| sparse_tensor.release %s23p6 : tensor<2x3x?xf64, #Tensor6> |
| sparse_tensor.release %s2pp4 : tensor<2x?x?xf64, #Tensor4> |
| sparse_tensor.release %s2pp5 : tensor<2x?x?xf64, #Tensor5> |
| sparse_tensor.release %s2pp6 : tensor<2x?x?xf64, #Tensor6> |
| |
| return |
| } |
| } |
