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// RUN: mlir-opt %s --linalg-generalize-named-ops \
// RUN: --sparsification-and-bufferization | FileCheck %s
#CSR_ones_complex = #sparse_tensor.encoding<{
map = (d0, d1) -> (d0 : dense, d1 : compressed),
explicitVal = #complex.number<:f32 1.0, 0.0>,
implicitVal = #complex.number<:f32 0.0, 0.0>
}>
#CSR_ones_fp = #sparse_tensor.encoding<{
map = (d0, d1) -> (d0 : dense, d1 : compressed),
explicitVal = 1.0 : f32,
implicitVal = 0.0 : f32
}>
#CSR_ones_int = #sparse_tensor.encoding<{
map = (d0, d1) -> (d0 : dense, d1 : compressed),
explicitVal = 1 : i32,
implicitVal = 0 : i32
}>
// CHECK-LABEL: func.func @matmul_complex
// CHECK: scf.for
// CHECK: scf.for
// CHECK: %[[X:.*]] = memref.load
// CHECK: scf.for
// CHECK: %[[I:.*]] = memref.load
// CHECK: %[[Y:.*]] = memref.load
// CHECK: %[[M:.*]] = complex.add %[[Y]], %[[X]] : complex<f32>
// CHECK: memref.store %[[M]]
// CHECK: }
// CHECK: }
// CHECK: }
func.func @matmul_complex(%a: tensor<10x20xcomplex<f32>>,
%b: tensor<20x30xcomplex<f32>, #CSR_ones_complex>,
%c: tensor<10x30xcomplex<f32>>) -> tensor<10x30xcomplex<f32>> {
%0 = linalg.matmul
ins(%a, %b: tensor<10x20xcomplex<f32>>, tensor<20x30xcomplex<f32>,#CSR_ones_complex>)
outs(%c: tensor<10x30xcomplex<f32>>) -> tensor<10x30xcomplex<f32>>
return %0 : tensor<10x30xcomplex<f32>>
}
// CHECK-LABEL: func.func @matmul_fp
// CHECK: scf.for
// CHECK: scf.for
// CHECK: %[[X:.*]] = memref.load
// CHECK: scf.for
// CHECK: %[[I:.*]] = memref.load
// CHECK: %[[Y:.*]] = memref.load
// CHECK: %[[M:.*]] = arith.addf %[[Y]], %[[X]] : f32
// CHECK: memref.store %[[M]]
// CHECK: }
// CHECK: }
// CHECK: }
func.func @matmul_fp(%a: tensor<10x20xf32>,
%b: tensor<20x30xf32, #CSR_ones_fp>,
%c: tensor<10x30xf32>) -> tensor<10x30xf32> {
%0 = linalg.matmul
ins(%a, %b: tensor<10x20xf32>, tensor<20x30xf32,#CSR_ones_fp>)
outs(%c: tensor<10x30xf32>) -> tensor<10x30xf32>
return %0 : tensor<10x30xf32>
}
// CHECK-LABEL: func.func @matmul_int
// CHECK: scf.for
// CHECK: scf.for
// CHECK: %[[X:.*]] = memref.load
// CHECK: scf.for
// CHECK: %[[I:.*]] = memref.load
// CHECK: %[[Y:.*]] = memref.load
// CHECK: %[[M:.*]] = arith.addi %[[Y]], %[[X]] : i32
// CHECK: memref.store %[[M]]
// CHECK: }
// CHECK: }
// CHECK: }
func.func @matmul_int(%a: tensor<10x20xi32>,
%b: tensor<20x30xi32, #CSR_ones_int>,
%c: tensor<10x30xi32>) -> tensor<10x30xi32> {
%0 = linalg.matmul
ins(%a, %b: tensor<10x20xi32>, tensor<20x30xi32,#CSR_ones_int>)
outs(%c: tensor<10x30xi32>) -> tensor<10x30xi32>
return %0 : tensor<10x30xi32>
}
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