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Integrate LLVM at llvm/llvm-project@72ddd559b8 

Updates LLVM usage to match
[72ddd559b8aa](https://github.com/llvm/llvm-project/commit/72ddd559b8aa)

PiperOrigin-RevId: 340292055
This commit is contained in:
A. Unique TensorFlower 2020-11-02 12:29:03 -08:00 committed by TensorFlow MLIR Team
parent 81e8d778c4
commit e866aac3ac
5 changed files with 6 additions and 6 deletions
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2
build_tools/llvm_version.txt
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@ -1,2 +1,2 @@
9bb9b737c5573cf3850230bc4db8dac7be0e1e85 72ddd559b8aafef402091f8e192e025022e4ebef

2
tests/hlo-legalize-to-lhlo.mlir
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@ -208,7 +208,7 @@ func @dyn_broadcast(%operand: memref<?x?xf32>) {
// BOTH: %[[TRANSFORMED_MEMREF:.*]] = lmhlo.dynamic_memref_cast // BOTH: %[[TRANSFORMED_MEMREF:.*]] = lmhlo.dynamic_memref_cast
// BOTH-SAME: %[[OPERAND]](%[[RESULT_DIM_1]], %[[RESULT_DIM_2]]) // BOTH-SAME: %[[OPERAND]](%[[RESULT_DIM_1]], %[[RESULT_DIM_2]])
// BOTH-SAME: {{\[}}%[[STRIDE_0]], %[[STRIDE_1]]] // BOTH-SAME: {{\[}}%[[STRIDE_0]], %[[STRIDE_1]]]
// BOTH-SAME: : memref<?x?xf32> -> memref<?x?xf32, #map0> // BOTH-SAME: : memref<?x?xf32> -> memref<?x?xf32, #map>
// BOTH: "lmhlo.broadcast_in_dim"(%[[TRANSFORMED_MEMREF]], %[[RESULT]]) { // BOTH: "lmhlo.broadcast_in_dim"(%[[TRANSFORMED_MEMREF]], %[[RESULT]]) {
// BOTH-SAME: broadcast_dimensions = dense<[1, 2]> : tensor<2xi64> // BOTH-SAME: broadcast_dimensions = dense<[1, 2]> : tensor<2xi64>

2
tests/hlo-legalize-to-linalg.mlir
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@ -1,6 +1,6 @@
// RUN: mlir-hlo-opt %s -hlo-legalize-to-linalg -split-input-file | FILECHECK_OPTS="" FileCheck %s // RUN: mlir-hlo-opt %s -hlo-legalize-to-linalg -split-input-file | FILECHECK_OPTS="" FileCheck %s
// CHECK: #map0 = affine_map<(d0, d1) -> (d0, d1)> // CHECK: #map = affine_map<(d0, d1) -> (d0, d1)>
// CHECK-LABEL: func @float_add // CHECK-LABEL: func @float_add
func @float_add(%lhs: tensor<2x2xf32>, func @float_add(%lhs: tensor<2x2xf32>,
%rhs: tensor<2x2xf32>) -> tensor<2x2xf32> { %rhs: tensor<2x2xf32>) -> tensor<2x2xf32> {

4
tests/lhlo-legalize-to-gpu.mlir
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@ -23,8 +23,8 @@ func @reduce(%arg: memref<100x10xf32>,
// CHECK-DAG: %[[UB:.*]] = constant 10 : index // CHECK-DAG: %[[UB:.*]] = constant 10 : index
// CHECK-DAG: %[[STEP:.*]] = constant 1 : index // CHECK-DAG: %[[STEP:.*]] = constant 1 : index
// CHECK: scf.for %[[IDX1:.*]] = %[[LB]] to %[[UB]] step %[[STEP]] { // CHECK: scf.for %[[IDX1:.*]] = %[[LB]] to %[[UB]] step %[[STEP]] {
// CHECK: %[[LHS:.*]] = linalg.slice %[[ARG2]][%[[IDX]]] : memref<100xf32>, index, memref<f32, #map0> // CHECK: %[[LHS:.*]] = linalg.slice %[[ARG2]][%[[IDX]]] : memref<100xf32>, index, memref<f32, #map>
// CHECK: %[[RHS:.*]] = linalg.slice %[[ARG0]][%[[IDX]], %[[IDX1]]] : memref<100x10xf32>, index, index, memref<f32, #map0> // CHECK: %[[RHS:.*]] = linalg.slice %[[ARG0]][%[[IDX]], %[[IDX1]]] : memref<100x10xf32>, index, index, memref<f32, #map>
// CHECK: "lmhlo.add"(%[[LHS]], %[[RHS]], %[[LHS]]) : (memref<f32, {{.*}}>, memref<f32, {{.*}}>, memref<f32, {{.*}}>) -> () // CHECK: "lmhlo.add"(%[[LHS]], %[[RHS]], %[[LHS]]) : (memref<f32, {{.*}}>, memref<f32, {{.*}}>, memref<f32, {{.*}}>) -> ()
// CHECK: } // CHECK: }
// CHECK: gpu.terminator // CHECK: gpu.terminator

2
tests/lhlo-legalize-to-linalg.mlir
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@ -1,6 +1,6 @@
// RUN: mlir-hlo-opt %s -lhlo-legalize-to-linalg -split-input-file | FILECHECK_OPTS="" FileCheck %s // RUN: mlir-hlo-opt %s -lhlo-legalize-to-linalg -split-input-file | FILECHECK_OPTS="" FileCheck %s
// CHECK: #map0 = affine_map<(d0, d1) -> (d0, d1)> // CHECK: #map = affine_map<(d0, d1) -> (d0, d1)>
// CHECK-LABEL: func @element_wise // CHECK-LABEL: func @element_wise
func @element_wise(%lhs: memref<2x2xf32>, %rhs: memref<2x2xf32>, func @element_wise(%lhs: memref<2x2xf32>, %rhs: memref<2x2xf32>,
%result: memref<2x2xf32>) { %result: memref<2x2xf32>) {