62       init_result = linalg.InitTensorOp([4, 8], f32)
63       return matmul_mono(lhs, rhs, outs=[init_result.result])
76     def test_i8i8i32_matmul(lhs, rhs, init_result):  argument
77       return matmul_poly(lhs, rhs, outs=[init_result])
85     def test_i8i8i32_matmul_unsigned(lhs, rhs, init_result):  argument
87           lhs, rhs, outs=[init_result], cast=TypeFn.cast_unsigned)
100     def test_i8i16i32_matmul(lhs, rhs, init_result):  argument
101       return matmul_poly(lhs, rhs, outs=[init_result])
114     def test_i32i32i16_matmul(lhs, rhs, init_result):  argument
115       return matmul_poly(lhs, rhs, outs=[init_result])
128     def test_i8i8f32_matmul(lhs, rhs, init_result):  argument
129       return matmul_poly(lhs, rhs, outs=[init_result])
137     def test_i8i8f32_matmul_unsigned(lhs, rhs, init_result):  argument
139           lhs, rhs, outs=[init_result], cast=TypeFn.cast_unsigned)
152     def test_f16f16f32_matmul(lhs, rhs, init_result):  argument
153       return matmul_poly(lhs, rhs, outs=[init_result])
166     def test_f64f64f32_matmul(lhs, rhs, init_result):  argument
167       return matmul_poly(lhs, rhs, outs=[init_result])