| func.func @tensor_float() { | |
| %0 = util.unfoldable_constant dense<[-1.0, -0.5, 0.0, 1.0]> : tensor<4xf32> | |
| %input_zp = "tosa.const"() <{values = dense<0.0> : tensor<1xf32>}> : () -> tensor<1xf32> | |
| %output_zp = "tosa.const"() <{values = dense<0.0> : tensor<1xf32>}> : () -> tensor<1xf32> | |
| %result = tosa.negate %0, %input_zp, %output_zp : (tensor<4xf32>, tensor<1xf32>, tensor<1xf32>) -> tensor<4xf32> | |
| check.expect_almost_eq_const(%result, dense<[1.0, 0.5, 0.0, -1.0]> : tensor<4xf32>) : tensor<4xf32> | |
| return | |
| } | |
| func.func @tensor_int() { | |
| %0 = util.unfoldable_constant dense<[-1, 0, 3, 1]> : tensor<4xi32> | |
| %input_zp = "tosa.const"() <{values = dense<0> : tensor<1xi32>}> : () -> tensor<1xi32> | |
| %output_zp = "tosa.const"() <{values = dense<0> : tensor<1xi32>}> : () -> tensor<1xi32> | |
| %result = tosa.negate %0, %input_zp, %output_zp : (tensor<4xi32>, tensor<1xi32>, tensor<1xi32>) -> tensor<4xi32> | |
| check.expect_eq_const(%result, dense<[1, 0, -3, -1]> : tensor<4xi32>) : tensor<4xi32> | |
| return | |
| } |