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// RUN: mlir-opt %s --canonicalize --cse | FileCheck %s
#SparseVector = #sparse_tensor.encoding<{dimLevelType = ["compressed"]}>
// CHECK-LABEL: func @sparse_nop_dense2dense_convert(
// CHECK-SAME: %[[A:.*]]: tensor<64xf32>)
// CHECK-NOT: sparse_tensor.convert
// CHECK: return %[[A]] : tensor<64xf32>
func.func @sparse_nop_dense2dense_convert(%arg0: tensor<64xf32>) -> tensor<64xf32> {
%0 = sparse_tensor.convert %arg0 : tensor<64xf32> to tensor<64xf32>
return %0 : tensor<64xf32>
}
// CHECK-LABEL: func @sparse_dce_convert(
// CHECK-SAME: %[[A:.*]]: tensor<64xf32>)
// CHECK-NOT: sparse_tensor.convert
// CHECK: return
func.func @sparse_dce_convert(%arg0: tensor<64xf32>) {
%0 = sparse_tensor.convert %arg0 : tensor<64xf32> to tensor<64xf32, #SparseVector>
return
}
// CHECK-LABEL: func @sparse_dce_getters(
// CHECK-SAME: %[[A:.*]]: tensor<64xf32, #sparse_tensor.encoding<{{{.*}}}>>)
// CHECK-NOT: sparse_tensor.pointers
// CHECK-NOT: sparse_tensor.indices
// CHECK-NOT: sparse_tensor.values
// CHECK: return
func.func @sparse_dce_getters(%arg0: tensor<64xf32, #SparseVector>) {
%0 = sparse_tensor.pointers %arg0 { dimension = 0 : index } : tensor<64xf32, #SparseVector> to memref<?xindex>
%1 = sparse_tensor.indices %arg0 { dimension = 0 : index } : tensor<64xf32, #SparseVector> to memref<?xindex>
%2 = sparse_tensor.values %arg0 : tensor<64xf32, #SparseVector> to memref<?xf32>
return
}
// CHECK-LABEL: func @sparse_concat_dce(
// CHECK-NOT: sparse_tensor.concatenate
// CHECK: return
func.func @sparse_concat_dce(%arg0: tensor<2xf64, #SparseVector>,
%arg1: tensor<3xf64, #SparseVector>,
%arg2: tensor<4xf64, #SparseVector>) {
%0 = sparse_tensor.concatenate %arg0, %arg1, %arg2 {dimension = 0 : index}
: tensor<2xf64, #SparseVector>,
tensor<3xf64, #SparseVector>,
tensor<4xf64, #SparseVector> to tensor<9xf64, #SparseVector>
return
}
// CHECK-LABEL: func @sparse_get_specifier_dce_fold(
// CHECK-SAME: %[[A0:.*]]: !sparse_tensor.storage_specifier
// CHECK-SAME: %[[A1:.*]]: i64,
// CHECK-SAME: %[[A2:.*]]: i64)
// CHECK-NOT: sparse_tensor.storage_specifier.set
// CHECK-NOT: sparse_tensor.storage_specifier.get
// CHECK: return %[[A1]]
func.func @sparse_get_specifier_dce_fold(%arg0: !sparse_tensor.storage_specifier<#SparseVector>, %arg1: i64, %arg2: i64) -> i64 {
%0 = sparse_tensor.storage_specifier.set %arg0 dim_sz at 0 with %arg1
: i64, !sparse_tensor.storage_specifier<#SparseVector>
%1 = sparse_tensor.storage_specifier.set %0 ptr_mem_sz at 0 with %arg2
: i64, !sparse_tensor.storage_specifier<#SparseVector>
%2 = sparse_tensor.storage_specifier.get %1 dim_sz at 0
: !sparse_tensor.storage_specifier<#SparseVector> to i64
return %2 : i64
}
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