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1// RUN: mlir-opt %s --sparse-assembler="direct-out=True" -split-input-file | FileCheck %s2 3// -----4 5// CHECK-LABEL: func.func @sparse_in(6// CHECK-SAME: %[[B:.*0]]: tensor<?xindex>,7// CHECK-SAME: %[[C:.*1]]: tensor<?xindex>,8// CHECK-SAME: %[[A:.*]]: tensor<?xf32>) -> tensor<64x64xf32> {9// CHECK: %[[I:.*]] = sparse_tensor.assemble (%[[B]], %[[C]]), %[[A]]10// CHECK: %[[F:.*]] = call @_internal_sparse_in(%[[I]])11// CHECK: return %[[F]] : tensor<64x64xf32>12// CHECK: }13// CHECK: func.func private @_internal_sparse_in14#sparse = #sparse_tensor.encoding<{ map = (d0, d1) -> (d0 : dense, d1 : compressed) }>15func.func @sparse_in(%arg0: tensor<64x64xf32, #sparse>) -> tensor<64x64xf32> {16 %0 = sparse_tensor.convert %arg0 : tensor<64x64xf32, #sparse> to tensor<64x64xf32>17 return %0 : tensor<64x64xf32>18}19 20// -----21 22// CHECK-LABEL: func.func @sparse_out(23// CHECK-SAME: %[[X:.*0]]: tensor<64x64xf32>)24// CHECK: %[[F:.*]] = call @_internal_sparse_out(%[[X]])25// CHECK: %[[P:.*]] = sparse_tensor.positions %[[F]]26// CHECK: %[[C:.*]] = sparse_tensor.coordinates %[[F]]27// CHECK: %[[V:.*]] = sparse_tensor.values %[[F]]28// CHECK: return %[[P]], %[[C]], %[[V]]29// CHECK: }30// CHECK: func.func private @_internal_sparse_out31#sparse = #sparse_tensor.encoding<{ map = (d0, d1) -> (d0 : dense, d1 : compressed) }>32func.func @sparse_out(%arg0: tensor<64x64xf32>) -> tensor<64x64xf32, #sparse> {33 %0 = sparse_tensor.convert %arg0 : tensor<64x64xf32> to tensor<64x64xf32, #sparse>34 return %0 : tensor<64x64xf32, #sparse>35}36 37// -----38 39// CHECK-LABEL: func.func @sparse_out2(40// CHECK-SAME: %[[X:.*0]]: tensor<64x64xf32>)41// CHECK: %[[F:.*]]:2 = call @_internal_sparse_out2(%[[X]])42// CHECK: %[[P:.*]] = sparse_tensor.positions %[[F]]#143// CHECK: %[[C:.*]] = sparse_tensor.coordinates %[[F]]#144// CHECK: %[[V:.*]] = sparse_tensor.values %[[F]]#145// CHECK: return %[[F]]#0, %[[P]], %[[C]], %[[V]]46// CHECK: }47// CHECK: func.func private @_internal_sparse_out248#sparse = #sparse_tensor.encoding<{ map = (d0, d1) -> (d0 : dense, d1 : compressed) }>49func.func @sparse_out2(%arg0: tensor<64x64xf32>) -> (tensor<64x64xf32>, tensor<64x64xf32, #sparse>) {50 %0 = sparse_tensor.convert %arg0 : tensor<64x64xf32> to tensor<64x64xf32, #sparse>51 return %arg0, %0 : tensor<64x64xf32>, tensor<64x64xf32, #sparse>52}53