Analyse following RPM build log snippet. Describe contents accurately, without speculation or suggestions for resolution.            
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Snippet: 
******************** TEST 'MLIR :: Dialect/Tensor/decompose-concat.mlir' FAILED ********************
Exit Code: 1

Command Output (stdout):
--
# RUN: at line 1
/builddir/build/BUILD/llvm-21.0.0_pre20250610.g17999f01bbcda4-build/llvm-project-17999f01bbcda4ccdf5146cbecc562c60b2ca86e/llvm/redhat-linux-build/bin/mlir-opt -split-input-file -transform-interpreter -cse --mlir-print-local-scope /builddir/build/BUILD/llvm-21.0.0_pre20250610.g17999f01bbcda4-build/llvm-project-17999f01bbcda4ccdf5146cbecc562c60b2ca86e/mlir/test/Dialect/Tensor/decompose-concat.mlir | /builddir/build/BUILD/llvm-21.0.0_pre20250610.g17999f01bbcda4-build/llvm-project-17999f01bbcda4ccdf5146cbecc562c60b2ca86e/llvm/redhat-linux-build/bin/FileCheck /builddir/build/BUILD/llvm-21.0.0_pre20250610.g17999f01bbcda4-build/llvm-project-17999f01bbcda4ccdf5146cbecc562c60b2ca86e/mlir/test/Dialect/Tensor/decompose-concat.mlir
# executed command: /builddir/build/BUILD/llvm-21.0.0_pre20250610.g17999f01bbcda4-build/llvm-project-17999f01bbcda4ccdf5146cbecc562c60b2ca86e/llvm/redhat-linux-build/bin/mlir-opt -split-input-file -transform-interpreter -cse --mlir-print-local-scope /builddir/build/BUILD/llvm-21.0.0_pre20250610.g17999f01bbcda4-build/llvm-project-17999f01bbcda4ccdf5146cbecc562c60b2ca86e/mlir/test/Dialect/Tensor/decompose-concat.mlir
# executed command: /builddir/build/BUILD/llvm-21.0.0_pre20250610.g17999f01bbcda4-build/llvm-project-17999f01bbcda4ccdf5146cbecc562c60b2ca86e/llvm/redhat-linux-build/bin/FileCheck /builddir/build/BUILD/llvm-21.0.0_pre20250610.g17999f01bbcda4-build/llvm-project-17999f01bbcda4ccdf5146cbecc562c60b2ca86e/mlir/test/Dialect/Tensor/decompose-concat.mlir
# .---command stderr------------
# | /builddir/build/BUILD/llvm-21.0.0_pre20250610.g17999f01bbcda4-build/llvm-project-17999f01bbcda4ccdf5146cbecc562c60b2ca86e/mlir/test/Dialect/Tensor/decompose-concat.mlir:15:11: error: CHECK: expected string not found in input
# | // CHECK: %[[CONCAT_SIZE:.+]] = affine.apply affine_map<()[s0] -> (s0 + 4)>()[%[[DIM0]]]
# |           ^
# | <stdin>:8:50: note: scanning from here
# |  %dim_0 = tensor.dim %arg1, %c1 : tensor<?x?xf32>
# |                                                  ^
# | <stdin>:8:50: note: with "DIM0" equal to "dim_0"
# |  %dim_0 = tensor.dim %arg1, %c1 : tensor<?x?xf32>
# |                                                  ^
# | <stdin>:9:2: note: possible intended match here
# |  %0 = affine.apply #map()[%dim_0]
# |  ^
# | /builddir/build/BUILD/llvm-21.0.0_pre20250610.g17999f01bbcda4-build/llvm-project-17999f01bbcda4ccdf5146cbecc562c60b2ca86e/mlir/test/Dialect/Tensor/decompose-concat.mlir:71:11: error: CHECK: expected string not found in input
# | // CHECK: %[[CONCAT_DIM:.+]] = affine.apply affine_map<()[s0, s1] -> (s0 + s1)>()[%[[T0_DIM2]], %[[T1_DIM2]]]
# |           ^
# | <stdin>:39:52: note: scanning from here
# |  %dim_2 = tensor.dim %arg1, %c2 : tensor<1x?x?xf32>
# |                                                    ^
# | <stdin>:39:52: note: with "T0_DIM2" equal to "dim_0"
# |  %dim_2 = tensor.dim %arg1, %c2 : tensor<1x?x?xf32>
# |                                                    ^
# | <stdin>:39:52: note: with "T1_DIM2" equal to "dim_2"
# |  %dim_2 = tensor.dim %arg1, %c2 : tensor<1x?x?xf32>
# |                                                    ^
# | 
# | Input file: <stdin>
# | Check file: /builddir/build/BUILD/llvm-21.0.0_pre20250610.g17999f01bbcda4-build/llvm-project-17999f01bbcda4ccdf5146cbecc562c60b2ca86e/mlir/test/Dialect/Tensor/decompose-concat.mlir
# | 
# | -dump-input=help explains the following input dump.
# | 
# | Input was:
# | <<<<<<
# |             1: #map = affine_map<()[s0] -> (s0 + 4)> 
# |             2: #map1 = affine_map<()[s0, s1] -> (s0 + s1)> 
# |             3: module { 
# |             4:  func.func @decompose_dynamic_concat(%arg0: tensor<8x4xf32>, %arg1: tensor<?x?xf32>) -> tensor<?x?xf32> { 
# |             5:  %c1 = arith.constant 1 : index 
# |             6:  %c0 = arith.constant 0 : index 
# |             7:  %dim = tensor.dim %arg1, %c0 : tensor<?x?xf32> 
# |             8:  %dim_0 = tensor.dim %arg1, %c1 : tensor<?x?xf32> 
# | check:15'0                                                      X error: no match found
# | check:15'1                                                        with "DIM0" equal to "dim_0"
# |             9:  %0 = affine.apply #map()[%dim_0] 
# | check:15'0     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
# | check:15'2      ?                                 possible intended match
# |            10:  %1 = tensor.empty(%0) : tensor<8x?xf32> 
# | check:15'0     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
# |            11:  %inserted_slice = tensor.insert_slice %arg0 into %1[0, 0] [8, 4] [1, 1] : tensor<8x4xf32> into tensor<8x?xf32> 
# | check:15'0     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
# |            12:  %inserted_slice_1 = tensor.insert_slice %arg1 into %inserted_slice[0, 4] [%dim, %dim_0] [1, 1] : tensor<?x?xf32> into tensor<8x?xf32> 
# | check:15'0     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
# |            13:  %cast = tensor.cast %inserted_slice_1 : tensor<8x?xf32> to tensor<?x?xf32> 
# | check:15'0     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
# |            14:  return %cast : tensor<?x?xf32> 
# | check:15'0     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
# |             .
# |             .
# |             .
# |            34:  %c2 = arith.constant 2 : index 
# |            35:  %c1 = arith.constant 1 : index 
# |            36:  %dim = tensor.dim %arg0, %c1 : tensor<1x?x?xf32> 
# |            37:  %dim_0 = tensor.dim %arg0, %c2 : tensor<1x?x?xf32> 
# |            38:  %dim_1 = tensor.dim %arg1, %c1 : tensor<1x?x?xf32> 
# |            39:  %dim_2 = tensor.dim %arg1, %c2 : tensor<1x?x?xf32> 
# | check:71'0                                                        X error: no match found
# | check:71'1                                                          with "T0_DIM2" equal to "dim_0"
# | check:71'2                                                          with "T1_DIM2" equal to "dim_2"
# |            40:  %0 = affine.apply #map1()[%dim_0, %dim_2] 
# | check:71'0     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
# |            41:  %1 = tensor.empty(%dim, %0) : tensor<1x?x?xf32> 
# | check:71'0     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
# |            42:  %inserted_slice = tensor.insert_slice %arg0 into %1[0, 0, 0] [1, %dim, %dim_0] [1, 1, 1] : tensor<1x?x?xf32> into tensor<1x?x?xf32> 
# | check:71'0     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
# |            43:  %inserted_slice_3 = tensor.insert_slice %arg1 into %inserted_slice[0, 0, %dim_0] [1, %dim_1, %dim_2] [1, 1, 1] : tensor<1x?x?xf32> into tensor<1x?x?xf32> 
# | check:71'0     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
# |            44:  %cast = tensor.cast %inserted_slice_3 : tensor<1x?x?xf32> to tensor<1x?x128xf32> 
# | check:71'0     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
# |             .
# |             .
# |             .
# | >>>>>>
# `-----------------------------
# error: command failed with exit status: 1

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Answer: The test "MLIR :: Dialect/Tensor/decompose-concat.mlir" ended with result: "FAILED". This shows the output that was gathered for the test execution. It might contain insights into why the test "MLIR :: Dialect/Tensor/decompose-concat.mlir" had an unexpected outcome.