This commit moves FuncOp out of the builtin dialect, and into the Func dialect. This move has been planned in some capacity from the moment we made FuncOp an operation (years ago). This commit handles the functional aspects of the move, but various aspects are left untouched to ease migration: func::FuncOp is re-exported into mlir to reduce the actual API churn, the assembly format still accepts the unqualified `func`. These temporary measures will remain for a little while to simplify migration before being removed. Differential Revision: https://reviews.llvm.org/D121266
115 lines
4.2 KiB
MLIR
115 lines
4.2 KiB
MLIR
// RUN: mlir-opt %s -pass-pipeline="func.func(test-match-reduction)" -verify-diagnostics -split-input-file
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// Verify that the generic reduction detection utility works on different
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// dialects.
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// expected-remark@below {{Testing function}}
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func @linalg_red_add(%in0t : tensor<?xf32>, %out0t : tensor<1xf32>) {
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// expected-remark@below {{Reduction found in output #0!}}
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// expected-remark@below {{Reduced Value: <block argument> of type 'f32' at index: 0}}
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// expected-remark@below {{Combiner Op: %1 = arith.addf %arg2, %arg3 : f32}}
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%red = linalg.generic {indexing_maps = [affine_map<(d0) -> (d0)>,
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affine_map<(d0) -> (0)>],
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iterator_types = ["reduction"]}
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ins(%in0t : tensor<?xf32>)
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outs(%out0t : tensor<1xf32>) {
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^bb0(%in0: f32, %out0: f32):
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%add = arith.addf %in0, %out0 : f32
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linalg.yield %add : f32
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} -> tensor<1xf32>
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return
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}
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// -----
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// expected-remark@below {{Testing function}}
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func @affine_red_add(%in: memref<256x512xf32>, %out: memref<256xf32>) {
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%cst = arith.constant 0.000000e+00 : f32
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affine.for %i = 0 to 256 {
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// expected-remark@below {{Reduction found in output #0!}}
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// expected-remark@below {{Reduced Value: %1 = affine.load %arg0[%arg2, %arg3] : memref<256x512xf32>}}
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// expected-remark@below {{Combiner Op: %2 = arith.addf %arg4, %1 : f32}}
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%final_red = affine.for %j = 0 to 512 iter_args(%red_iter = %cst) -> (f32) {
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%ld = affine.load %in[%i, %j] : memref<256x512xf32>
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%add = arith.addf %red_iter, %ld : f32
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affine.yield %add : f32
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}
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affine.store %final_red, %out[%i] : memref<256xf32>
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}
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return
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}
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// -----
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// TODO: Iteration-carried values with multiple uses are not supported yet.
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// expected-remark@below {{Testing function}}
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func @linalg_red_max(%in0t: tensor<4x4xf32>, %out0t: tensor<4xf32>) {
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// expected-remark@below {{Reduction NOT found in output #0!}}
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%red = linalg.generic {indexing_maps = [affine_map<(d0, d1) -> (d0, d1)>,
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affine_map<(d0, d1) -> (d0)>],
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iterator_types = ["parallel", "reduction"]}
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ins(%in0t : tensor<4x4xf32>)
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outs(%out0t : tensor<4xf32>) {
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^bb0(%in0: f32, %out0: f32):
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%cmp = arith.cmpf ogt, %in0, %out0 : f32
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%sel = arith.select %cmp, %in0, %out0 : f32
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linalg.yield %sel : f32
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} -> tensor<4xf32>
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return
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}
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// -----
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// expected-remark@below {{Testing function}}
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func @linalg_fused_red_add(%in0t: tensor<4x4xf32>, %out0t: tensor<4xf32>) {
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// expected-remark@below {{Reduction found in output #0!}}
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// expected-remark@below {{Reduced Value: %2 = arith.subf %1, %arg2 : f32}}
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// expected-remark@below {{Combiner Op: %3 = arith.addf %2, %arg3 : f32}}
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%red = linalg.generic {indexing_maps = [affine_map<(d0, d1) -> (d0, d1)>,
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affine_map<(d0, d1) -> (d0)>],
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iterator_types = ["parallel", "reduction"]}
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ins(%in0t : tensor<4x4xf32>)
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outs(%out0t : tensor<4xf32>) {
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^bb0(%in0: f32, %out0: f32):
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%mul = arith.mulf %in0, %in0 : f32
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%sub = arith.subf %mul, %in0 : f32
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%add = arith.addf %sub, %out0 : f32
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linalg.yield %add : f32
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} -> tensor<4xf32>
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return
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}
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// -----
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// expected-remark@below {{Testing function}}
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func @affine_no_red_rec(%in: memref<512xf32>) {
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%cst = arith.constant 0.000000e+00 : f32
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// %rec is the value loaded in the previous iteration.
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// expected-remark@below {{Reduction NOT found in output #0!}}
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%final_val = affine.for %j = 0 to 512 iter_args(%rec = %cst) -> (f32) {
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%ld = affine.load %in[%j] : memref<512xf32>
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%add = arith.addf %ld, %rec : f32
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affine.yield %ld : f32
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}
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return
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}
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// -----
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// expected-remark@below {{Testing function}}
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func @affine_output_dep(%in: memref<512xf32>) {
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%cst = arith.constant 0.000000e+00 : f32
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// Reduction %red is not supported because it depends on another
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// loop-carried dependence.
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// expected-remark@below {{Reduction NOT found in output #0!}}
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// expected-remark@below {{Reduction NOT found in output #1!}}
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%final_red, %final_dep = affine.for %j = 0 to 512
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iter_args(%red = %cst, %dep = %cst) -> (f32, f32) {
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%ld = affine.load %in[%j] : memref<512xf32>
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%add = arith.addf %dep, %red : f32
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affine.yield %add, %ld : f32, f32
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}
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return
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}
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