tree: 7c7814af860eceb1683252e689cad00430e47ee8 [path history] [tgz]
  1. affine.mlir
  2. bufferize.mlir
  3. canonicalize-duplicate-inputs.mlir
  4. canonicalize.mlir
  5. codegen-strategy.mlir
  6. comprehensive-bufferize-analysis-2fill-extract-matmul-all-perms.mlir
  7. comprehensive-module-bufferize-alloca.mlir
  8. comprehensive-module-bufferize-analysis.mlir
  9. comprehensive-module-bufferize-invalid.mlir
  10. comprehensive-module-bufferize.mlir
  11. conv-interface-invalid.mlir
  12. convert-elementwise-to-linalg.mlir
  13. decompose-convolution.mlir
  14. detensorize_0d.mlir
  15. detensorize_br_operands.mlir
  16. detensorize_if.mlir
  17. detensorize_trivial.mlir
  18. detensorize_while.mlir
  19. detensorize_while_impure_cf.mlir
  20. detensorize_while_pure_cf.mlir
  21. distribute-tiled-loop.mlir
  22. drop-unit-extent-dims.mlir
  23. fold-unit-trip-loops.mlir
  24. forward-vector-transfers.mlir
  25. fusion-2-level.mlir
  26. fusion-elementwise-ops.mlir
  27. fusion-elementwise-options.mlir
  28. fusion-indexed.mlir
  29. fusion-pattern.mlir
  30. fusion-push-reshape.mlir
  31. fusion-sequence.mlir
  32. fusion-tensor-pattern.mlir
  33. fusion.mlir
  34. generalize-named-ops.mlir
  35. generalize-named-polymorphic-ops.mlir
  36. generalize-pad-tensor.mlir
  37. hoisting.mlir
  38. inline-scalar-operands.mlir
  39. inlining.mlir
  40. interchange.mlir
  41. invalid.mlir
  42. library-calls.mlir
  43. llvm.mlir
  44. loops.mlir
  45. lower-pad-tensor.mlir
  46. named-ops.mlir
  47. pad-and-hoist.mlir
  48. pad.mlir
  49. parallel-loops.mlir
  50. promote.mlir
  51. promotion_options.mlir
  52. reshape_control_fusion.mlir
  53. reshape_fusion.mlir
  54. reshape_linearization_fusion.mlir
  55. reshape_linearization_fusion_with_unit_dims.mlir
  56. resolve-shaped-type-result-dims.mlir
  57. roundtrip.mlir
  58. standard.mlir
  59. subtensor-of-padtensor.mlir
  60. tile-and-distribute.mlir
  61. tile-and-fuse-on-tensors.mlir
  62. tile-and-fuse-sequence-on-tensors.mlir
  63. tile-and-fuse-tensors.mlir
  64. tile-and-peel-tensors.mlir
  65. tile-conv.mlir
  66. tile-indexed.mlir
  67. tile-pad-tensor-op.mlir
  68. tile-parallel-reduce.mlir
  69. tile-parallel.mlir
  70. tile-scalarize-dynamic-dims.mlir
  71. tile-tensors.mlir
  72. tile-zero.mlir
  73. tile.mlir
  74. tiled-loop-peeling.mlir
  75. tiled-loop-to-scf.mlir
  76. transform-patterns-matmul-to-vector.mlir
  77. transform-patterns.mlir
  78. vectorization.mlir
  79. vectorize-convolution.mlir