Integrate llvm/llvm-project@1c8e5e2

Updated LIT test from landing llvm/llvm-project#136640
which folds linalg.index when size is unit dim (1).

This patch carries revert of

llvm/llvm-project#133231. This PR breaks fp_to_subbytes and
emulation_subbyte_types on llvm-cpu tests. iree-test-deps.

llvm/llvm-project#137122. StableHLO and Torch-mlir needs to update their
usage of GreedyRewriteConfig to use fluent API. i.e
enableRegionSimplification = VS setRegionSimplificationLevel

llvm/llvm-project#135970. StableHLO has issue with VHLO_IntegerAttr and
APInt not being updated. StableHLO needs to be updated with that PR's
change for us to be able to integrate.

llvm/llvm-project#121389. Torch-MLIR needs to be
updated with that PR's change for us to be able to integrate.

Signed-off-by: Stanley Winata <[email protected]>

Author: raikonenfnu

compiler/src/iree/compiler/Codegen/LLVMGPU/ConvertToROCDL.cpp

@@ -326,7 +326,7 @@ struct ConvertToROCDLPass final
       vector::populateVectorTransferLoweringPatterns(llvmPatterns,
                                                      /*maxTransferRank=*/1);
       populateGpuToROCDLConversionPatterns(converter, llvmPatterns,
-                                           gpu::amd::Runtime::Unknown);
+                                           gpu::amd::Runtime::Unknown, maybeChipset.value_or(amdgpu::Chipset()));
       LLVMConversionTarget target(getContext());
       populateFuncToLLVMFuncOpConversionPattern(converter, llvmPatterns);
       configureGpuToROCDLConversionLegality(target);

compiler/src/iree/compiler/GlobalOptimization/test/raise_special_ops.mlir

@@ -341,18 +341,17 @@ util.func public @test_slice_negate_cat_peephole(%arg0: tensor<1x32x1x128xf16>)
 
 // CHECK-LABEL: util.func public @test_slice_negate_cat_peephole
 //  CHECK-SAME:     %[[ARG0:.+]]: tensor<1x32x1x128xf16>
+//       CHECK:   %[[C0:.+]] = arith.constant 0 : index
 //       CHECK:   %[[C1:.+]] = arith.constant 1 : index
 //       CHECK:   %[[EXPIN:.+]] = tensor.expand_shape %[[ARG0]] {{\[\[}}0], [1], [2], [3, 4]] output_shape [1, 32, 1, 2, 64] : tensor<1x32x1x128xf16> into tensor<1x32x1x2x64xf16>
 //       CHECK:   %[[NREV:.+]] = linalg.generic
 //  CHECK-SAME:       iterator_types = ["parallel", "parallel", "parallel", "parallel", "parallel"]
 
-//       CHECK:      %[[I0:.+]] = linalg.index 0 : index
 //       CHECK:      %[[I1:.+]] = linalg.index 1 : index
-//       CHECK:      %[[I2:.+]] = linalg.index 2 : index
 //       CHECK:      %[[I3:.+]] = linalg.index 3 : index
 //       CHECK:      %[[I4:.+]] = linalg.index 4 : index
 //       CHECK:      %[[R3:.+]] = arith.subi %[[C1]], %[[I3]] : index
-//       CHECK:      %[[EXTR:.+]] = tensor.extract %expanded[%[[I0]], %[[I1]], %[[I2]], %[[R3]], %[[I4]]] : tensor<1x32x1x2x64xf16>
+//       CHECK:      %[[EXTR:.+]] = tensor.extract %expanded[%[[C0]], %[[I1]], %[[C0]], %[[R3]], %[[I4]]] : tensor<1x32x1x2x64xf16>
 //       CHECK:      %[[NEGF:.+]] = arith.negf %[[EXTR]] : f16
 //       CHECK:      %[[CMP:.+]] = arith.cmpi eq, %[[R3]], %[[C1]] : index
 //       CHECK:      %[[SEL:.+]] = arith.select %[[CMP]], %[[NEGF]], %[[EXTR]] : f16