[TOSA] TOSA updates for LLVM hash 72144d1

1: [TOSA] Update rescale input_/output_zp and double_round attribute

* Update tosa.rescale input_/output_zp as inputs according to TOSA 1.0
* Update double_round bool attribute to rounding_mode in alignment with
TOSA 1.0. rounding_mode supports "SINGLE_ROUND", "INEXACT_ROUND", and
"DOUBLE_ROUND". Existing double_round behaviours are mapped as followed:
  - double_round = true -> rounding_mode = "DOUBLE_ROUND"
  - double_round = false -> rounding_mode = "SINGLE_ROUND"

2: [TOSA] Update tosa.negate's zero-points to inputs

Update LIT tests and XFAIL sets

3: [TOSA] Update tosa.int_div to tosa.intdiv

Update LIT tests

Author: justin-ngo-arm

test/Conversion/TorchToTosa/basic.mlir

@@ -1703,7 +1703,7 @@ func.func @torch.aten.div.Tensor_mode$float_trunc(%arg0: !torch.vtensor<[?, ?],f
 // CHECK:           %[[VAL_4:.*]] = torch.constant.str "trunc"
 // CHECK:           %[[VAL_5:.*]] = tosa.cast %[[VAL_3]] : (tensor<?x?xi64>) -> tensor<?x?xi32>
 // CHECK:           %[[VAL_6:.*]] = tosa.cast %[[VAL_2]] : (tensor<?x?xi64>) -> tensor<?x?xi32>
-// CHECK:           %[[VAL_7:.*]] = tosa.int_div %[[VAL_5]], %[[VAL_6]] : (tensor<?x?xi32>, tensor<?x?xi32>) -> tensor<?x?xi32>
+// CHECK:           %[[VAL_7:.*]] = tosa.intdiv %[[VAL_5]], %[[VAL_6]] : (tensor<?x?xi32>, tensor<?x?xi32>) -> tensor<?x?xi32>
 // CHECK:           %[[VAL_8:.*]] = tosa.cast %[[VAL_7]] : (tensor<?x?xi32>) -> tensor<?x?xi64>
 // CHECK:           %[[VAL_9:.*]] = torch_c.from_builtin_tensor %[[VAL_8]] : tensor<?x?xi64> -> !torch.vtensor<[?,?],si64>
 // CHECK:           return %[[VAL_9]] : !torch.vtensor<[?,?],si64>
@@ -1745,7 +1745,7 @@ func.func @torch.aten.div.Tensor_mode$float_floor(%arg0: !torch.vtensor<[?, ?],f
 // CHECK:           %[[VAL_4:.*]] = torch.constant.str "floor"
 // CHECK:           %[[VAL_5:.*]] = tosa.cast %[[VAL_3]] : (tensor<?x?xi64>) -> tensor<?x?xi32>
 // CHECK:           %[[VAL_6:.*]] = tosa.cast %[[VAL_2]] : (tensor<?x?xi64>) -> tensor<?x?xi32>
-// CHECK:           %[[VAL_7:.*]] = tosa.int_div %[[VAL_5]], %[[VAL_6]] : (tensor<?x?xi32>, tensor<?x?xi32>) -> tensor<?x?xi32>
+// CHECK:           %[[VAL_7:.*]] = tosa.intdiv %[[VAL_5]], %[[VAL_6]] : (tensor<?x?xi32>, tensor<?x?xi32>) -> tensor<?x?xi32>
 // CHECK:           %[[VAL_8:.*]] = "tosa.const"() <{values = dense<0> : tensor<i32>}> : () -> tensor<i32>
 // CHECK:           %[[VAL_9:.*]] = "tosa.const"() <{values = dense<1> : tensor<i32>}> : () -> tensor<i32>
 // CHECK:           %[[VAL_10:.*]] = tosa.const_shape  {values = dense<1> : tensor<2xindex>} : () -> !tosa.shape<2>
@@ -1802,7 +1802,7 @@ func.func @torch.aten.div.Tensor_mode$float_basic(%arg0: !torch.vtensor<[?, ?],f
 // CHECK:           %[[VAL_4:.*]] = torch.constant.str ""
 // CHECK:           %[[VAL_5:.*]] = tosa.cast %[[VAL_3]] : (tensor<?x?xi64>) -> tensor<?x?xi32>
 // CHECK:           %[[VAL_6:.*]] = tosa.cast %[[VAL_2]] : (tensor<?x?xi64>) -> tensor<?x?xi32>
-// CHECK:           %[[VAL_7:.*]] = tosa.int_div %[[VAL_5]], %[[VAL_6]] : (tensor<?x?xi32>, tensor<?x?xi32>) -> tensor<?x?xi32>
+// CHECK:           %[[VAL_7:.*]] = tosa.intdiv %[[VAL_5]], %[[VAL_6]] : (tensor<?x?xi32>, tensor<?x?xi32>) -> tensor<?x?xi32>
 // CHECK:           %[[VAL_8:.*]] = tosa.cast %[[VAL_7]] : (tensor<?x?xi32>) -> tensor<?x?xi64>
 // CHECK:           %[[VAL_9:.*]] = torch_c.from_builtin_tensor %[[VAL_8]] : tensor<?x?xi64> -> !torch.vtensor<[?,?],si64>
 // CHECK:           return %[[VAL_9]] : !torch.vtensor<[?,?],si64>

test/Conversion/TorchToTosa/torch-backend-to-tosa-backend-pipeline.mlir

@@ -111,7 +111,7 @@ func.func @torch.aten.div.Tensor$mixed_type_fp(%arg0: !torch.vtensor<[?, ?],f32>
 // CHECK-SAME: %[[VAL_0:.*]]: tensor<?x?xi16>,
 // CHECK-SAME: %[[VAL_1:.*]]: tensor<?x?xi32>
 // CHECK: %[[VAL_2:.*]] = tosa.cast %[[VAL_0]] : (tensor<?x?xi16>) -> tensor<?x?xi32>
-// CHECK: %[[VAL_3:.*]] = tosa.int_div %[[VAL_2]], %[[VAL_1]] : (tensor<?x?xi32>, tensor<?x?xi32>) -> tensor<?x?xi32>
+// CHECK: %[[VAL_3:.*]] = tosa.intdiv %[[VAL_2]], %[[VAL_1]] : (tensor<?x?xi32>, tensor<?x?xi32>) -> tensor<?x?xi32>
 func.func @torch.aten.div.Tensor$mixed_type_int(%arg0: !torch.vtensor<[?, ?],si16>, %arg1: !torch.vtensor<[?, ?],si32>) -> !torch.vtensor<[?, ?],si32> {
   %0 = torch.aten.div.Tensor %arg0, %arg1 : !torch.vtensor<[?, ?],si16>, !torch.vtensor<[?, ?],si32> -> !torch.vtensor<[?, ?],si32>
   return %0 : !torch.vtensor<[?, ?],si32>