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Flatten subprojects into a single base monorepo
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// RUN: mlir-opt -gpu-map-parallel-loops -split-input-file %s | FileCheck %s --check-prefix=OUTER
// RUN: mlir-opt -gpu-map-parallel-loops="mapping-policy=innermost-first" -split-input-file %s | FileCheck %s --check-prefix=INNER
func.func @parallel_loop(%arg0 : index, %arg1 : index, %arg2 : index,
%arg3 : index) {
%zero = arith.constant 0 : index
%one = arith.constant 1 : index
%four = arith.constant 4 : index
scf.parallel (%i0, %i1) = (%arg0, %arg1) to (%arg2, %arg3)
step (%four, %four) {
scf.parallel (%si0, %si1) = (%zero, %zero) to (%four, %four)
step (%one, %one) {
}
}
return
}
// OUTER-LABEL: func @parallel_loop(
// OUTER: scf.parallel
// OUTER: scf.parallel
// OUTER: {mapping = [#gpu.loop_dim_map<processor = thread_x, map = (d0) -> (d0), bound = (d0) -> (d0)>,
// OUTER-SAME: #gpu.loop_dim_map<processor = thread_y, map = (d0) -> (d0), bound = (d0) -> (d0)>]}
// OUTER: {mapping = [#gpu.loop_dim_map<processor = block_x, map = (d0) -> (d0), bound = (d0) -> (d0)>,
// OUTER-SAME: #gpu.loop_dim_map<processor = block_y, map = (d0) -> (d0), bound = (d0) -> (d0)>]}
// OUTER-NOT: mapping
// INNER-LABEL: func @parallel_loop(
// INNER: scf.parallel
// INNER: scf.parallel
// INNER: {mapping = [#gpu.loop_dim_map<processor = thread_y, map = (d0) -> (d0), bound = (d0) -> (d0)>,
// INNER-SAME: #gpu.loop_dim_map<processor = thread_x, map = (d0) -> (d0), bound = (d0) -> (d0)>]}
// INNER: {mapping = [#gpu.loop_dim_map<processor = block_y, map = (d0) -> (d0), bound = (d0) -> (d0)>,
// INNER-SAME: #gpu.loop_dim_map<processor = block_x, map = (d0) -> (d0), bound = (d0) -> (d0)>]}
// INNER-NOT: mapping
// -----
func.func @parallel_loop_4d(%arg0 : index, %arg1 : index, %arg2 : index,
%arg3 : index) {
%zero = arith.constant 0 : index
%one = arith.constant 1 : index
%four = arith.constant 4 : index
scf.parallel (%i0, %i1, %i2, %i3) = (%zero, %zero, %zero, %zero) to (%arg0, %arg1, %arg2, %arg3)
step (%four, %four, %four, %four) {
scf.parallel (%si0, %si1, %si2, %si3) = (%zero, %zero, %zero, %zero) to (%four, %four, %four, %four)
step (%one, %one, %one, %one) {
scf.parallel (%ti0, %ti1, %ti2, %ti3) = (%zero, %zero, %zero, %zero) to (%four, %four, %four, %four)
step (%one, %one, %one, %one) {
}
}
}
return
}
// OUTER-LABEL: func @parallel_loop_4d(
// OUTER: scf.parallel
// OUTER: scf.parallel
// OUTER: scf.parallel
// OUTER: {mapping = [#gpu.loop_dim_map<processor = sequential, map = (d0) -> (d0), bound = (d0) -> (d0)>,
// OUTER-SAME: #gpu.loop_dim_map<processor = sequential, map = (d0) -> (d0), bound = (d0) -> (d0)>,
// OUTER-SAME: #gpu.loop_dim_map<processor = sequential, map = (d0) -> (d0), bound = (d0) -> (d0)>,
// OUTER-SAME: #gpu.loop_dim_map<processor = sequential, map = (d0) -> (d0), bound = (d0) -> (d0)>]}
// OUTER: {mapping = [#gpu.loop_dim_map<processor = thread_x, map = (d0) -> (d0), bound = (d0) -> (d0)>,
// OUTER-SAME: #gpu.loop_dim_map<processor = thread_y, map = (d0) -> (d0), bound = (d0) -> (d0)>,
// OUTER-SAME: #gpu.loop_dim_map<processor = thread_z, map = (d0) -> (d0), bound = (d0) -> (d0)>,
// OUTER-SAME: #gpu.loop_dim_map<processor = sequential, map = (d0) -> (d0), bound = (d0) -> (d0)>]}
// OUTER: {mapping = [#gpu.loop_dim_map<processor = block_x, map = (d0) -> (d0), bound = (d0) -> (d0)>,
// OUTER-SAME: #gpu.loop_dim_map<processor = block_y, map = (d0) -> (d0), bound = (d0) -> (d0)>,
// OUTER-SAME: #gpu.loop_dim_map<processor = block_z, map = (d0) -> (d0), bound = (d0) -> (d0)>,
// OUTER-SAME: #gpu.loop_dim_map<processor = sequential, map = (d0) -> (d0), bound = (d0) -> (d0)>]}
// OUTER-NOT: mapping
// INNER-LABEL: func @parallel_loop_4d(
// INNER: scf.parallel
// INNER: scf.parallel
// INNER: scf.parallel
// INNER: {mapping = [#gpu.loop_dim_map<processor = sequential, map = (d0) -> (d0), bound = (d0) -> (d0)>,
// INNER-SAME: #gpu.loop_dim_map<processor = sequential, map = (d0) -> (d0), bound = (d0) -> (d0)>,
// INNER-SAME: #gpu.loop_dim_map<processor = sequential, map = (d0) -> (d0), bound = (d0) -> (d0)>,
// INNER-SAME: #gpu.loop_dim_map<processor = sequential, map = (d0) -> (d0), bound = (d0) -> (d0)>]}
// INNER: {mapping = [#gpu.loop_dim_map<processor = thread_z, map = (d0) -> (d0), bound = (d0) -> (d0)>,
// INNER-SAME: #gpu.loop_dim_map<processor = thread_y, map = (d0) -> (d0), bound = (d0) -> (d0)>,
// INNER-SAME: #gpu.loop_dim_map<processor = thread_x, map = (d0) -> (d0), bound = (d0) -> (d0)>,
// INNER-SAME: #gpu.loop_dim_map<processor = sequential, map = (d0) -> (d0), bound = (d0) -> (d0)>]}
// INNER: {mapping = [#gpu.loop_dim_map<processor = block_z, map = (d0) -> (d0), bound = (d0) -> (d0)>,
// INNER-SAME: #gpu.loop_dim_map<processor = block_y, map = (d0) -> (d0), bound = (d0) -> (d0)>,
// INNER-SAME: #gpu.loop_dim_map<processor = block_x, map = (d0) -> (d0), bound = (d0) -> (d0)>,
// INNER-SAME: #gpu.loop_dim_map<processor = sequential, map = (d0) -> (d0), bound = (d0) -> (d0)>]}
// INNER-NOT: mapping
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