[MLIR][HLO] Add mixed test for `rank-specialization-cluster` pass
PiperOrigin-RevId: 373762814
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@ -85,3 +85,31 @@ func @tan(%arg : tensor<*xf32>) -> tensor<*xf32> {
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%2 = chlo.tan %1 : tensor<*xf32> -> tensor<*xf32>
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%2 = chlo.tan %1 : tensor<*xf32> -> tensor<*xf32>
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return %2 : tensor<*xf32>
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return %2 : tensor<*xf32>
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}
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}
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// -----
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// Composition of unary/binary CHLO and unary MHLO ops.
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// CHECK-LABEL: @mixed
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// CHECK-SAME: (%[[ARG0:.*]]: tensor<*xf32>, %[[ARG1:.*]]: tensor<*xf32>, %[[ARG2:.*]]: tensor<*xf32>)
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func @mixed(%arg0 : tensor<*xf32>, %arg1 : tensor<*xf32>, %arg2 : tensor<*xf32>)
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-> tensor<*xf32> {
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// CHECK: %[[RES:.*]] = "chlo.rank_specialization_cluster"(%[[ARG2]], %[[ARG1]], %[[ARG0]])
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// CHECK: ^bb0(%[[ARG2_:.*]]: tensor<*xf32>, %[[ARG1_:.*]]: tensor<*xf32>, %[[ARG0_:.*]]: tensor<*xf32>)
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// CHECK: %[[TMP0:.*]] = chlo.tan %[[ARG0_]]
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// CHECK: %[[TMP1:.*]] = "mhlo.sqrt"(%[[ARG1_]])
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// CHECK: %[[TMP2:.*]] = chlo.broadcast_multiply %[[TMP0]], %[[TMP1]]
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// CHECK: %[[TMP3:.*]] = chlo.broadcast_add %[[TMP2]], %[[ARG2_]]
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// CHECK: %[[TMP4:.*]] = "mhlo.sqrt"(%[[TMP3]])
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// CHECK: %[[TMP5:.*]] = chlo.tan %[[TMP4]]
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// CHECK: "chlo.rank_specialization_cluster_yield"(%[[TMP5]])
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// CHECK: return %[[RES]]
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%0 = chlo.tan %arg0 : tensor<*xf32> -> tensor<*xf32>
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%1 = "mhlo.sqrt"(%arg1) : (tensor<*xf32>) -> tensor<*xf32>
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%2 = chlo.broadcast_multiply %0, %1
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: (tensor<*xf32>, tensor<*xf32>) -> tensor<*xf32>
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%3 = chlo.broadcast_add %2, %arg2
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: (tensor<*xf32>, tensor<*xf32>) -> tensor<*xf32>
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%4 = "mhlo.sqrt"(%3) : (tensor<*xf32>) -> tensor<*xf32>
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%5 = chlo.tan %4 : tensor<*xf32> -> tensor<*xf32>
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return %5 : tensor<*xf32>
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}
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