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[Mlir] Skip default schedule for linalg.fill #63

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[Mlir] Skip default schedule for linalg.fill #63

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3 changes: 3 additions & 0 deletions src/xtc/backends/mlir/MlirCompilerPasses.py
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Original file line number Diff line number Diff line change
Expand Up @@ -189,6 +189,9 @@ def _generate_scheduling(self) -> OpResult:
assert self._named_sequence is not None
handle = None
for schedule in self._nodes_schedules:
# Skip linalg.fill
if schedule.node_name[-1] == "0": # identify with naming convention
continue
self._create_sdist_meshes(schedule)
handle = structured_match(
results_=transform.AnyOpType.get(),
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240 changes: 87 additions & 153 deletions tests/filecheck/backends/padding/test_gen_pad_dict_conv2d_mlir.py
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211 changes: 80 additions & 131 deletions tests/filecheck/backends/padding/test_gen_pad_int_matmul_unpad_mlir.py
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238 changes: 86 additions & 152 deletions tests/filecheck/backends/padding/test_gen_pad_tuple_conv2d_mlir.py
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211 changes: 80 additions & 131 deletions tests/filecheck/backends/padding/test_gen_pad_tuple_matmul_unpad_mlir.py
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232 changes: 83 additions & 149 deletions tests/filecheck/backends/padding/test_pad_constant_conv2d_mlir.py
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232 changes: 83 additions & 149 deletions tests/filecheck/backends/padding/test_pad_conv2d_mlir.py
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215 changes: 82 additions & 133 deletions tests/filecheck/backends/padding/test_pad_matmul_unpad_mlir.py
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215 changes: 82 additions & 133 deletions tests/filecheck/backends/padding/test_pad_tuple_matmul_unpad_mlir.py
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145 changes: 56 additions & 89 deletions tests/filecheck/backends/test_conv2d_mini_mlir.py
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67 changes: 23 additions & 44 deletions tests/filecheck/backends/test_conv2d_r181_mlir.py
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Original file line number Diff line number Diff line change
Expand Up @@ -60,41 +60,32 @@
# CHECK-NEXT: transform.yield
# CHECK-NEXT: }
# CHECK-NEXT: transform.named_sequence @__transform_main(%arg0: !transform.any_op {transform.readonly}) {
# CHECK-NEXT: %0 = transform.structured.match attributes {__xtc_id_O_0_} in %arg0 : (!transform.any_op) -> !transform.any_op
# CHECK-NEXT: %tiled_linalg_op, %loops = transform.structured.tile_using_for %0 tile_sizes [1, 0, 0, 0] : (!transform.any_op) -> (!transform.any_op, !transform.any_op)
# CHECK-NEXT: %0 = transform.structured.match attributes {__xtc_id_O_} in %arg0 : (!transform.any_op) -> !transform.any_op
# CHECK-NEXT: %tiled_linalg_op, %loops = transform.structured.tile_using_for %0 tile_sizes [1, 0, 0, 0, 0, 0, 0] : (!transform.any_op) -> (!transform.any_op, !transform.any_op)
# CHECK-NEXT: transform.annotate %loops "./b" : !transform.any_op
# CHECK-NEXT: %tiled_linalg_op_0, %loops_1 = transform.structured.tile_using_for %tiled_linalg_op tile_sizes [0, 1, 0, 0] : (!transform.any_op) -> (!transform.any_op, !transform.any_op)
# CHECK-NEXT: %tiled_linalg_op_0, %loops_1 = transform.structured.tile_using_for %tiled_linalg_op tile_sizes [0, 1, 0, 0, 0, 0, 0] : (!transform.any_op) -> (!transform.any_op, !transform.any_op)
# CHECK-NEXT: transform.annotate %loops_1 "./h" : !transform.any_op
# CHECK-NEXT: %tiled_linalg_op_2, %loops_3 = transform.structured.tile_using_for %tiled_linalg_op_0 tile_sizes [0, 0, 1, 0] : (!transform.any_op) -> (!transform.any_op, !transform.any_op)
# CHECK-NEXT: %tiled_linalg_op_2, %loops_3 = transform.structured.tile_using_for %tiled_linalg_op_0 tile_sizes [0, 0, 4, 0, 0, 0, 0] : (!transform.any_op) -> (!transform.any_op, !transform.any_op)
# CHECK-NEXT: transform.annotate %loops_3 "./w" : !transform.any_op
# CHECK-NEXT: %tiled_linalg_op_4, %loops_5 = transform.structured.tile_using_for %tiled_linalg_op_2 tile_sizes [0, 0, 0, 1] : (!transform.any_op) -> (!transform.any_op, !transform.any_op)
# CHECK-NEXT: %tiled_linalg_op_4, %loops_5 = transform.structured.tile_using_for %tiled_linalg_op_2 tile_sizes [0, 0, 0, 16, 0, 0, 0] : (!transform.any_op) -> (!transform.any_op, !transform.any_op)
# CHECK-NEXT: transform.annotate %loops_5 "./f" : !transform.any_op
# CHECK-NEXT: %1 = transform.structured.match attributes {__xtc_id_O_} in %arg0 : (!transform.any_op) -> !transform.any_op
# CHECK-NEXT: %tiled_linalg_op_6, %loops_7 = transform.structured.tile_using_for %1 tile_sizes [1, 0, 0, 0, 0, 0, 0] : (!transform.any_op) -> (!transform.any_op, !transform.any_op)
# CHECK-NEXT: transform.annotate %loops_7 "./b" : !transform.any_op
# CHECK-NEXT: %tiled_linalg_op_8, %loops_9 = transform.structured.tile_using_for %tiled_linalg_op_6 tile_sizes [0, 1, 0, 0, 0, 0, 0] : (!transform.any_op) -> (!transform.any_op, !transform.any_op)
# CHECK-NEXT: transform.annotate %loops_9 "./h" : !transform.any_op
# CHECK-NEXT: %tiled_linalg_op_10, %loops_11 = transform.structured.tile_using_for %tiled_linalg_op_8 tile_sizes [0, 0, 4, 0, 0, 0, 0] : (!transform.any_op) -> (!transform.any_op, !transform.any_op)
# CHECK-NEXT: transform.annotate %loops_11 "./w" : !transform.any_op
# CHECK-NEXT: %tiled_linalg_op_12, %loops_13 = transform.structured.tile_using_for %tiled_linalg_op_10 tile_sizes [0, 0, 0, 16, 0, 0, 0] : (!transform.any_op) -> (!transform.any_op, !transform.any_op)
# CHECK-NEXT: transform.annotate %loops_13 "./f" : !transform.any_op
# CHECK-NEXT: %tiled_linalg_op_14, %loops_15 = transform.structured.tile_using_for %tiled_linalg_op_12 tile_sizes [0, 0, 0, 0, 1, 0, 0] : (!transform.any_op) -> (!transform.any_op, !transform.any_op)
# CHECK-NEXT: transform.annotate %loops_15 "./r" : !transform.any_op
# CHECK-NEXT: %tiled_linalg_op_16, %loops_17 = transform.structured.tile_using_for %tiled_linalg_op_14 tile_sizes [0, 0, 0, 0, 0, 1, 0] : (!transform.any_op) -> (!transform.any_op, !transform.any_op)
# CHECK-NEXT: transform.annotate %loops_17 "./s" : !transform.any_op
# CHECK-NEXT: %tiled_linalg_op_18, %loops_19 = transform.structured.tile_using_for %tiled_linalg_op_16 tile_sizes [0, 0, 0, 0, 0, 0, 1] : (!transform.any_op) -> (!transform.any_op, !transform.any_op)
# CHECK-NEXT: transform.annotate %loops_19 "./c" : !transform.any_op
# CHECK-NEXT: %tiled_linalg_op_20, %loops_21 = transform.structured.tile_using_for %tiled_linalg_op_18 tile_sizes [0, 0, 1, 0, 0, 0, 0] : (!transform.any_op) -> (!transform.any_op, !transform.any_op)
# CHECK-NEXT: transform.annotate %loops_21 "./w1" : !transform.any_op
# CHECK-NEXT: transform.include @_vecto failures(suppress) (%tiled_linalg_op_20) : (!transform.any_op) -> ()
# CHECK-NEXT: transform.loop.unroll %loops_21 {factor = 4 : i64} : !transform.any_op
# CHECK-NEXT: transform.loop.unroll %loops_19 {factor = 3 : i64} : !transform.any_op
# CHECK-NEXT: %2 = transform.get_parent_op %loops_7 {isolated_from_above} : (!transform.any_op) -> !transform.any_op
# CHECK-NEXT: transform.apply_patterns to %2 {
# CHECK-NEXT: %tiled_linalg_op_6, %loops_7 = transform.structured.tile_using_for %tiled_linalg_op_4 tile_sizes [0, 0, 0, 0, 1, 0, 0] : (!transform.any_op) -> (!transform.any_op, !transform.any_op)
# CHECK-NEXT: transform.annotate %loops_7 "./r" : !transform.any_op
# CHECK-NEXT: %tiled_linalg_op_8, %loops_9 = transform.structured.tile_using_for %tiled_linalg_op_6 tile_sizes [0, 0, 0, 0, 0, 1, 0] : (!transform.any_op) -> (!transform.any_op, !transform.any_op)
# CHECK-NEXT: transform.annotate %loops_9 "./s" : !transform.any_op
# CHECK-NEXT: %tiled_linalg_op_10, %loops_11 = transform.structured.tile_using_for %tiled_linalg_op_8 tile_sizes [0, 0, 0, 0, 0, 0, 1] : (!transform.any_op) -> (!transform.any_op, !transform.any_op)
# CHECK-NEXT: transform.annotate %loops_11 "./c" : !transform.any_op
# CHECK-NEXT: %tiled_linalg_op_12, %loops_13 = transform.structured.tile_using_for %tiled_linalg_op_10 tile_sizes [0, 0, 1, 0, 0, 0, 0] : (!transform.any_op) -> (!transform.any_op, !transform.any_op)
# CHECK-NEXT: transform.annotate %loops_13 "./w1" : !transform.any_op
# CHECK-NEXT: transform.include @_vecto failures(suppress) (%tiled_linalg_op_12) : (!transform.any_op) -> ()
# CHECK-NEXT: transform.loop.unroll %loops_13 {factor = 4 : i64} : !transform.any_op
# CHECK-NEXT: transform.loop.unroll %loops_11 {factor = 3 : i64} : !transform.any_op
# CHECK-NEXT: %1 = transform.get_parent_op %loops {isolated_from_above} : (!transform.any_op) -> !transform.any_op
# CHECK-NEXT: transform.apply_patterns to %1 {
# CHECK-NEXT: transform.apply_patterns.vector.reduction_to_contract
# CHECK-NEXT: transform.apply_patterns.vector.transfer_permutation_patterns
# CHECK-NEXT: } : !transform.any_op
# CHECK-NEXT: transform.apply_patterns to %2 {
# CHECK-NEXT: transform.apply_patterns to %1 {
# CHECK-NEXT: transform.apply_patterns.vector.lower_outerproduct
# CHECK-NEXT: transform.apply_patterns.vector.lower_contraction
# CHECK-NEXT: } : !transform.any_op
Expand All @@ -114,25 +105,13 @@
# CHECK-NEXT: %c2 = arith.constant 2 : index
# CHECK-NEXT: %c7 = arith.constant 7 : index
# CHECK-NEXT: %c16 = arith.constant 16 : index
# CHECK-NEXT: %c4 = arith.constant 4 : index
# CHECK-NEXT: %c64 = arith.constant 64 : index
# CHECK-NEXT: %c4 = arith.constant 4 : index
# CHECK-NEXT: %c112 = arith.constant 112 : index
# CHECK-NEXT: %cst = arith.constant 0.000000e+00 : f32
# CHECK-NEXT: %c0 = arith.constant 0 : index
# CHECK-NEXT: %c1 = arith.constant 1 : index
# CHECK-NEXT: scf.for %arg3 = %c0 to %c1 step %c1 {
# CHECK-NEXT: %subview = memref.subview %arg2[%arg3, 0, 0, 0] [1, 112, 112, 64] [1, 1, 1, 1] : memref<1x112x112x64xf32> to memref<1x112x112x64xf32, strided<[802816, 7168, 64, 1], offset: ?>>
# CHECK-NEXT: scf.for %arg4 = %c0 to %c112 step %c1 {
# CHECK-NEXT: %subview_0 = memref.subview %subview[0, %arg4, 0, 0] [1, 1, 112, 64] [1, 1, 1, 1] : memref<1x112x112x64xf32, strided<[802816, 7168, 64, 1], offset: ?>> to memref<1x1x112x64xf32, strided<[802816, 7168, 64, 1], offset: ?>>
# CHECK-NEXT: scf.for %arg5 = %c0 to %c112 step %c1 {
# CHECK-NEXT: %subview_1 = memref.subview %subview_0[0, 0, %arg5, 0] [1, 1, 1, 64] [1, 1, 1, 1] : memref<1x1x112x64xf32, strided<[802816, 7168, 64, 1], offset: ?>> to memref<1x1x1x64xf32, strided<[802816, 7168, 64, 1], offset: ?>>
# CHECK-NEXT: scf.for %arg6 = %c0 to %c64 step %c1 {
# CHECK-NEXT: %subview_2 = memref.subview %subview_1[0, 0, 0, %arg6] [1, 1, 1, 1] [1, 1, 1, 1] : memref<1x1x1x64xf32, strided<[802816, 7168, 64, 1], offset: ?>> to memref<1x1x1x1xf32, strided<[802816, 7168, 64, 1], offset: ?>>
# CHECK-NEXT: linalg.fill {__xtc_id_O_0_} ins(%cst : f32) outs(%subview_2 : memref<1x1x1x1xf32, strided<[802816, 7168, 64, 1], offset: ?>>)
# CHECK-NEXT: } {"./f"}
# CHECK-NEXT: } {"./w"}
# CHECK-NEXT: } {"./h"}
# CHECK-NEXT: } {"./b"}
# CHECK-NEXT: %c0 = arith.constant 0 : index
# CHECK-NEXT: %cst = arith.constant 0.000000e+00 : f32
# CHECK-NEXT: linalg.fill {__xtc_id_O_0_} ins(%cst : f32) outs(%arg2 : memref<1x112x112x64xf32>)
# CHECK-NEXT: scf.for %arg3 = %c0 to %c1 step %c1 {
# CHECK-NEXT: %subview = memref.subview %arg0[%arg3, 0, 0, 0] [1, 229, 229, 3] [1, 1, 1, 1] : memref<1x230x230x3xf32> to memref<1x229x229x3xf32, strided<[158700, 690, 3, 1], offset: ?>>
# CHECK-NEXT: %subview_0 = memref.subview %arg1[0, 0, 0, 0] [7, 7, 3, 64] [1, 1, 1, 1] : memref<7x7x3x64xf32> to memref<7x7x3x64xf32, strided<[1344, 192, 64, 1]>>
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