File: quant-test.mlir

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// RUN: mlir-opt --tosa-test-quant-utils %s | FileCheck %s

// -----
// CHECK-LABEL: test_build_qtype
func @test_build_qtype(%arg0 : tensor<16x1x1x8x!quant.uniform<u8<1:255>:f32, 0.015680249780416489:128>>) -> tensor<16x1x1x8x!quant.uniform<u8<1:255>:f32, 0.015680249780416489:128>> {
  //  CHECK: tosa.negate
  %0 = "tosa.negate"(%arg0) : (tensor<16x1x1x8x!quant.uniform<u8<1:255>:f32, 0.015680249780416489:128>>) -> tensor<16x1x1x8x!quant.uniform<u8<1:255>:f32, 0.015680249780416489:128>>
  return %0 : tensor<16x1x1x8x!quant.uniform<u8<1:255>:f32, 0.015680249780416489:128>>
}

// -----
// CHECK-LABEL: test_build_mult_and_shift
func @test_build_mult_and_shift(%arg0: tensor<1x32x32x8x!quant.uniform<i8:f32, 0.015684768557548523>>, %arg1 : tensor<16x1x1x8x!quant.uniform<i8<-127:127>:f32, 0.015680249780416489>>, %arg2 : tensor<16xi32>) -> tensor<1x32x32x16x!quant.uniform<i8:f32, 0.078431375324726104>> {
  // CHECK: tosa.conv2d
  %0 = "tosa.conv2d"(%arg0, %arg1, %arg2) {pad = [1, 1, 2, 2], dilation = [2, 1], stride = [1, 1], quantization_info = {input_zp = -1 : i32, weight_zp = 0 : i32}} : (tensor<1x32x32x8x!quant.uniform<i8:f32, 0.015684768557548523>>, tensor<16x1x1x8x!quant.uniform<i8<-127:127>:f32, 0.015680249780416489>>, tensor<16xi32>) -> tensor<1x32x32x16x!quant.uniform<i8:f32, 0.078431375324726104>>
  return %0 : tensor<1x32x32x16x!quant.uniform<i8:f32, 0.078431375324726104>>

}