| // TODO: The following generates tosa.ApplyScale ops that leaks to backends. |
| // Sizes like tensor<4xi32> will trigger vectorization on the SPIR-V backend. |
| // But we cannot vectorize tosa.ApplyScale ops. |
| |
| func.func @tensor_int_shifted() { |
| %0 = util.unfoldable_constant dense<[1, 0, 3, 4, 4]> : tensor<5xi32> |
| %1 = util.unfoldable_constant dense<[5, 6, -3, 8, 8]> : tensor<5xi32> |
| %shift = "tosa.const"() {values = dense<1> : tensor<1xi8>} : () -> tensor<1xi8> |
| %result = tosa.mul %0, %1, %shift : (tensor<5xi32>, tensor<5xi32>, tensor<1xi8>) -> tensor<5xi32> |
| check.expect_eq_const(%result, dense<[3, 0, -4, 16, 16]> : tensor<5xi32>) : tensor<5xi32> |
| return |
| } |
