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// RUN: mlir-opt %s -split-input-file -pass-pipeline='func(canonicalize)' | FileCheck %s --dump-input=fail
// -----
// CHECK-LABEL: redundant_scast
func @redundant_scast() -> tensor<4xi8> {
// CHECK-NEXT: constant dense<10> : tensor<4xi8>
// CHECK-NEXT: return
%cst = constant dense<5> : tensor<4xi8>
%1 = "quant.scast"(%cst) : (tensor<4xi8>) -> tensor<4x!quant.uniform<u8:f32, 7.812500e-03:128>>
%2 = "quant.scast"(%1) : (tensor<4x!quant.uniform<u8:f32, 7.812500e-03:128>>) -> tensor<4xi8>
%3 = addi %2, %2 : tensor<4xi8>
return %3 : tensor<4xi8>
}
// -----
// CHECK-LABEL: non_redundant_scast
func @non_redundant_scast() -> tensor<4x!quant.uniform<u8:f32, 7.812500e-03:128>> {
// CHECK-NEXT: constant dense<5> : tensor<4xi8>
// CHECK-NEXT: scast
// CHECK-NEXT: return
%cst = constant dense<5> : tensor<4xi8>
%1 = "quant.scast"(%cst) : (tensor<4xi8>) -> tensor<4x!quant.uniform<u8:f32, 7.812500e-03:128>>
return %1 : tensor<4x!quant.uniform<u8:f32, 7.812500e-03:128>>
}
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