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llvm/llvm-project/a58dcc5e08665f2d58a28c9d4510cf94de6ed3bf/./mlir/test/Dialect/Linalg
tree: 119e89acb34998101624c2a335ab6820c6c2b9fc
  1. affine.mlir
  2. bubble-up-extract-slice-op.mlir
  3. bufferize.mlir
  4. canonicalize.mlir
  5. collapse-dim.mlir
  6. conv-interface-invalid.mlir
  7. convert-conv2d-to-img2col.mlir
  8. convert-elementwise-to-linalg.mlir
  9. data-layout-propagation.mlir
  10. decompose-ops.mlir
  11. detensorize_0d.mlir
  12. detensorize_br_operands.mlir
  13. detensorize_entry_block.mlir
  14. detensorize_if.mlir
  15. detensorize_trivial.mlir
  16. detensorize_while.mlir
  17. detensorize_while_impure_cf.mlir
  18. detensorize_while_pure_cf.mlir
  19. drop-unit-extent-dims.mlir
  20. erase-unused-operands-and-results.mlir
  21. fill-interface-invalid.mlir
  22. forward-vector-transfers.mlir
  23. fuse-with-reshape-by-collapsing.mlir
  24. fusion-elementwise-ops.mlir
  25. fusion-elementwise-options.mlir
  26. fusion-elementwise.mlir
  27. fusion-multiuse-producer.mlir
  28. fusion-push-reshape.mlir
  29. generalize-named-ops.mlir
  30. generalize-named-polymorphic-ops.mlir
  31. generalize-pad-tensor.mlir
  32. generalize-tensor-pack-tile.mlir
  33. generalize-tensor-pack.mlir
  34. generalize-tensor-unpack-tile.mlir
  35. generalize-tensor-unpack.mlir
  36. hoisting.mlir
  37. inline-scalar-operands.mlir
  38. inlining.mlir
  39. int-narrowing.mlir
  40. invalid.mlir
  41. library-calls.mlir
  42. loops.mlir
  43. match-ops-interpreter.mlir
  44. match-ops-invalid.mlir
  45. match-ops.mlir
  46. matmul-shared-memory-padding.mlir
  47. multisize-tiling-full.mlir
  48. named-ops-fail.mlir
  49. named-ops.mlir
  50. namedop_conversion.mlir
  51. one-shot-bufferize-analysis-2fill-extract-matmul-all-perms.mlir
  52. one-shot-bufferize-analysis.mlir
  53. one-shot-bufferize-empty-tensor-elimination.mlir
  54. one-shot-bufferize.mlir
  55. pad-to-specific-memory-space.mlir
  56. pad_fusion.mlir
  57. parallel-loops.mlir
  58. promote.mlir
  59. promotion_options.mlir
  60. reshape_control_fusion.mlir
  61. reshape_fusion.mlir
  62. resolve-shaped-type-result-dims.mlir
  63. roundtrip.mlir
  64. standard.mlir
  65. subtensor-of-padtensor.mlir
  66. swap-extract-slice-with-fill.mlir
  67. test-drop-unit-dims.mlir
  68. tile-and-fuse-tensors.mlir
  69. tile-conv.mlir
  70. tile-indexed.mlir
  71. tile-softmax.mlir
  72. tile-tensors.mlir
  73. tile-to-forall.mlir
  74. transform-lower-pack.mlir
  75. transform-op-bufferize-to-allocation.mlir
  76. transform-op-compose-masked-vectorize-and-cleanups.mlir
  77. transform-op-decompose.mlir
  78. transform-op-fuse-into-containing.mlir
  79. transform-op-fuse.mlir
  80. transform-op-generalize.mlir
  81. transform-op-gpu-map-copy-to-threads.mlir
  82. transform-op-hoist-pad-build-packing-loop-nest.mlir
  83. transform-op-hoist-pad.mlir
  84. transform-op-insert-slice-to-copy.mlir
  85. transform-op-interchange.mlir
  86. transform-op-match.mlir
  87. transform-op-matmul-to-outerproduct.mlir
  88. transform-op-multitile-sizes.mlir
  89. transform-op-pack.mlir
  90. transform-op-pad.mlir
  91. transform-op-peel-and-vectorize.mlir
  92. transform-op-replace.mlir
  93. transform-op-rewrite-in-destination-passing-style.mlir
  94. transform-op-scalarize.mlir
  95. transform-op-specialize.mlir
  96. transform-op-split-reduction-by-scaling.mlir
  97. transform-op-split-reduction.mlir
  98. transform-op-split.mlir
  99. transform-op-tile.mlir
  100. transform-op-vectorize.mlir
  101. transform-ops-invalid.mlir
  102. transform-ops.mlir
  103. transform-pack-greedily.mlir
  104. transform-patterns.mlir
  105. transform-promotion.mlir
  106. transform-tile-and-fuse.mlir
  107. transform-tile-reduction.mlir
  108. transpose-conv2d.mlir
  109. value-bounds-op-interface-impl.mlir
  110. vectorization-scalable.mlir
  111. vectorization-with-patterns.mlir
  112. vectorization.mlir
  113. vectorize-convolution-flatten.mlir
  114. vectorize-convolution.mlir
  115. vectorize-tensor-extract-masked.mlir
  116. vectorize-tensor-extract.mlir