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[MLIR][Tensor] Fix checks for fold-into-pack-and-unpack.mlir (llvm#…
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…77622)

Fix after 113bce0
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chelini authored Jan 10, 2024
1 parent c053e9f commit 6bc7e37
Showing 1 changed file with 6 additions and 6 deletions.
12 changes: 6 additions & 6 deletions mlir/test/Dialect/Tensor/fold-into-pack-and-unpack.mlir
Original file line number Diff line number Diff line change
Expand Up @@ -469,10 +469,10 @@ func.func @linalg_transpose_tensor_pack_fold_dynamic_outer_dims_tile_dims_tile_s
//CHECK-LABEL: func.func @linalg_transpose_tensor_pack_fold_dynamic_outer_dims_tile_dims_tile_sizes(
// CHECK-SAME: %[[ARG0:.+]]: tensor<?x?x?x?xf32>, %[[ARG1:.+]]: tensor<?x?x?x?xf32>,
// CHECK-SAME: %[[ARG2:.+]]: tensor<?x?x?x?x?x?x?xf32>, %[[ARG3:.+]]: index, %[[ARG4:.+]]: index, %[[ARG5:.+]]: index) -> tensor<?x?x?x?x?x?x?xf32> {
// CHECK: %[[C0:.+]] = arith.constant 0 : index
// CHECK: %[[C1:.+]] = arith.constant 1 : index
// CHECK: %[[C2:.+]] = arith.constant 2 : index
// CHECK: %[[C3:.+]] = arith.constant 3 : index
// CHECK-DAG: %[[C0:.+]] = arith.constant 0 : index
// CHECK-DAG: %[[C1:.+]] = arith.constant 1 : index
// CHECK-DAG: %[[C2:.+]] = arith.constant 2 : index
// CHECK-DAG: %[[C3:.+]] = arith.constant 3 : index
// CHECK: %[[DIM:.+]] = tensor.dim %[[ARG0]], %[[C0]] : tensor<?x?x?x?xf32>
// CHECK: %[[DIM0:.+]] = tensor.dim %[[ARG0]], %[[C1]] : tensor<?x?x?x?xf32>
// CHECK: %[[DIM1:.+]] = tensor.dim %[[ARG0]], %[[C2]] : tensor<?x?x?x?xf32>
Expand Down Expand Up @@ -509,8 +509,8 @@ func.func @linalg_transpose_tensor_pack_multiple_tiles(%arg0: tensor<?x32x128xbf
// CHECK: #[[map:.+]] = affine_map<()[s0] -> (s0 ceildiv 16)>
//CHECK-LABEL: func.func @linalg_transpose_tensor_pack_multiple_tiles(
// CHECK-SAME: %[[ARG0:.+]]: tensor<?x32x128xbf16>) -> tensor<32x?x64x16x2xbf16> {
// CHECK: %[[C0:.+]] = arith.constant 0 : index
// CHECK: %[[CST:.+]] = arith.constant 0.000000e+00 : bf16
// CHECK-DAG: %[[C0:.+]] = arith.constant 0 : index
// CHECK-DAG: %[[CST:.+]] = arith.constant 0.000000e+00 : bf16
// CHECK: %[[DIM:.+]] = tensor.dim %[[ARG0]], %[[C0]] : tensor<?x32x128xbf16>
// CHECK: %[[VAL0:.+]] = affine.apply #[[map:.+]]()[%[[DIM]]]
// CHECK: %[[VAL1:.+]] = tensor.empty(%[[VAL0]]) : tensor<32x?x64x16x2xbf16>
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