Refactor spmd partitioner.

PiperOrigin-RevId: 822689391

third_party/xla/xla/service/spmd/BUILD

@@ -89,7 +89,6 @@ cc_library(
         "@com_google_absl//absl/strings",
         "@com_google_absl//absl/strings:str_format",
         "@com_google_absl//absl/types:span",
-        "@com_google_absl//absl/utility",
         "@local_tsl//tsl/platform:numbers",
     ],
 )

third_party/xla/xla/service/spmd/spmd_partitioner.cc

@@ -2467,10 +2467,9 @@ SpmdPartitioningVisitor::MakePartitioningState() {
     state.collective_ops_creator = *visiting_collective_ops_creator_;
     state.partition_id = *visiting_partition_id_;
     return CreatePerGroupPartitioningState(state, *device_groups_, &b_);
-  } else {
+  }
   state.collective_ops_creator = collective_ops_creator_;
   state.partition_id = partition_id_;
-  }
   return state;
 }
 
@@ -3323,7 +3322,8 @@ absl::Status SpmdPartitioningVisitor::HandleReshape(HloInstruction* hlo) {
           output_shard_size * split_factor);
       return operand.state().b->AddInstruction(HloInstruction::CreateReshape(
           output_shard_shape, reshard_operand->sharded_input));
-    } else if (output_dim_size % input_dim_size == 0) {
+    }
+    if (output_dim_size % input_dim_size == 0) {
       // Merge dims.
       int64_t merge_factor = output_dim_size / input_dim_size;
       // First reshape locally. (The sharded dimension could include padded
@@ -5054,7 +5054,7 @@ SPMDCollectiveOpsCreator GetDefaultCollectiveOpsCreator(int64_t num_partitions,
           // If the src/dst pairs are empty, then the collective permute
           // just initializes the output to zero.
           return CreateZero(operand->shape(), b);
-        } else {
+        }
         // A collective-permute is a copy if all pairs are "identity" and
         // all partitions are listed.
         bool is_copy =
@@ -5065,11 +5065,9 @@ SPMDCollectiveOpsCreator GetDefaultCollectiveOpsCreator(int64_t num_partitions,
                            });
         if (is_copy) {
           return operand;
-          } else {
+        }
         return b->AddInstruction(HloInstruction::CreateCollectivePermute(
             operand->shape(), operand, src_dst_pairs, channel_id));
-          }
-        }
       },
       [create_all_to_all_list_of_lists](
           SpmdBuilder* b, absl::Span<HloInstruction* const> operands,
@@ -5309,13 +5307,13 @@ HloInstruction* SpmdPartitioner::AllReduceAlongShardingDimsInternal(
           .create_cross_partition_all_reduce_with_iota_device_list(
               b, operand, reduction, partition_group_list.value(),
               (*next_channel_id)++);
-    } else {
+    }
     auto partition_subgroups =
         GetPartitionGroupsForReplication(sharding, selected_dims);
     return collectives_creator.create_cross_partition_all_reduce(
         b, operand, reduction, partition_subgroups, (*next_channel_id)++);
   }
-  }
+
   auto result = operand;
   for (auto it = selected_dims.rbegin(); it != selected_dims.rend(); ++it) {
     if (sharding.tile_assignment().dim(*it) == 1) {

third_party/xla/xla/service/spmd/spmd_partitioner.h

@@ -158,8 +158,6 @@ class SpmdBuilder : public HloComputation::Builder {
     instructions_[hlo];
   }
 
-  HloInstruction* visiting_hlo() const { return visiting_hlo_; }
-
   // Wrapper of queries to broadcast_dims_.
   std::optional<const absl::flat_hash_set<int64_t>*> BroadcastDimsForCreatedHlo(
       const HloInstruction* hlo) {
@@ -370,7 +368,7 @@ class SpmdPartitioner : public HloModulePass {
   }
 
   // Update module's parameter and output sharding information, based on the
-  // sharding information of the module's parameters and outptuts.
+  // sharding information of the module's parameters and outputs.
   static void RecordInputsOutputsSharding(HloModule* module);
 
   int64_t num_partitions() const { return num_partitions_; }
@@ -443,7 +441,6 @@ class SpmdPartitioner : public HloModulePass {
 
   SpmdPartitionerOptions options_;
   SPMDCollectiveOpsCreator collective_ops_creator_;
-  std::vector<std::vector<int64_t>> device_groups_;
   absl::flat_hash_set<absl::string_view> execution_threads_;
 };
 
@@ -722,6 +719,7 @@ class SpmdPartitioningVisitor : public DfsHloVisitorWithDefault {
 
   absl::Status DefaultAction(HloInstruction* hlo) override;
 
+  // go/keep-sorted start
   absl::Status HandleAllReduce(HloInstruction* hlo) override;
   absl::Status HandleBitcastConvert(HloInstruction* hlo) override;
   absl::Status HandleBroadcast(HloInstruction* hlo) override;
@@ -760,6 +758,7 @@ class SpmdPartitioningVisitor : public DfsHloVisitorWithDefault {
   absl::Status HandleTriangularSolve(HloInstruction* hlo) override;
   absl::Status HandleTuple(HloInstruction* hlo) override;
   absl::Status HandleWhile(HloInstruction* hlo) override;
+  // go/keep-sorted end
 
   // Implementation of dot partitioning given DotGeneralDimsMapping.
   template <typename CreateShardedFunctor>

third_party/xla/xla/service/spmd/spmd_partitioner_util.cc

@@ -2534,10 +2534,9 @@ HloSharding CreateMatchingShardingOnDims(
   if (to_be_partially_replicated) {
     return AlignShardingOnDims(HloSharding::PartialTile(tgt_tile_assignment),
                                target_dims, source_sharding, source_dims);
-  } else {
+  }
   return AlignShardingOnDims(HloSharding::Tile(tgt_tile_assignment),
                              target_dims, source_sharding, source_dims);
-  }
 }
 
 std::optional<GatherScatterParallelDimSharding>
@@ -2909,8 +2908,8 @@ std::vector<std::vector<int64_t>> GetPartitionGroupsAcrossTargetDims(
       [&](absl::Span<const int64_t> indices, int64_t device) {
         int64_t group_id = 0;
         for (int64_t dim = 0; dim < indices.size(); ++dim) {
-          auto it = absl::c_find(target_dims, dim);
-          if (it != target_dims.end()) {
+          if (auto it = absl::c_find(target_dims, dim);
+              it != target_dims.end()) {
             int64_t group_size =
                 group_sizes[std::distance(target_dims.begin(), it)];
             group_id *= sharding.tile_assignment().dim(dim) / group_size;
@@ -2963,8 +2962,7 @@ std::optional<IotaReplicaGroupList> GetIotaPartitionGroupsAcrossTargetDims(
   std::vector<int64_t> target_dim_locations;
   for (int64_t dim = 0; dim < sharding.tile_assignment().num_dimensions();
        ++dim) {
-    auto it = std::find(target_dims.begin(), target_dims.end(), dim);
-    if (it != target_dims.end()) {
+    if (auto it = absl::c_find(target_dims, dim); it != target_dims.end()) {
       int64_t current_val = sharding.tile_assignment().dim(dim);
       int64_t group_size = group_sizes[std::distance(target_dims.begin(), it)];
       reshape_dimensions.push_back(current_val / group_size);
@@ -2978,8 +2976,8 @@ std::optional<IotaReplicaGroupList> GetIotaPartitionGroupsAcrossTargetDims(
   std::vector<int> transpose_dims(reshape_dimensions.size());
   std::iota(transpose_dims.begin(), transpose_dims.end(), 0);
   for (int64_t loc : target_dim_locations) {
-    auto it = std::find(transpose_dims.begin(), transpose_dims.end(), loc);
-    if (it != transpose_dims.end()) {
+    if (auto it = absl::c_find(transpose_dims, loc);
+        it != transpose_dims.end()) {
       transpose_dims.erase(it);
       transpose_dims.push_back(loc);
     }
@@ -3047,8 +3045,7 @@ std::optional<IotaReplicaGroupList> GetIotaPartitionGroupsForReplication(
                                            replication_dims.end());
   std::sort(replication_dims_sorted.begin(), replication_dims_sorted.end());
   for (int64_t i : replication_dims_sorted) {
-    auto it = std::find(transpose_dims.begin(), transpose_dims.end(), i);
-    if (it != transpose_dims.end()) {
+    if (auto it = absl::c_find(transpose_dims, i); it != transpose_dims.end()) {
       transpose_dims.erase(it);
       transpose_dims.push_back(i);
     }

third_party/xla/xla/service/spmd/spmd_partitioner_util.h

@@ -17,29 +17,21 @@ limitations under the License.
 #define XLA_SERVICE_SPMD_SPMD_PARTITIONER_UTIL_H_
 
 #include <algorithm>
-#include <cstddef>
 #include <cstdint>
 #include <initializer_list>
 #include <limits>
 #include <memory>
 #include <optional>
 #include <string>
-#include <tuple>
 #include <type_traits>
 #include <utility>
 #include <vector>
 
-#include "absl/algorithm/container.h"
 #include "absl/container/flat_hash_map.h"
-#include "absl/container/inlined_vector.h"
 #include "absl/log/check.h"
 #include "absl/log/log.h"
-#include "absl/status/status.h"
 #include "absl/status/statusor.h"
-#include "absl/strings/str_replace.h"
 #include "absl/types/span.h"
-#include "absl/utility/utility.h"
-#include "xla/hlo/ir/hlo_casting_utils.h"
 #include "xla/hlo/ir/hlo_computation.h"
 #include "xla/hlo/ir/hlo_instruction.h"
 #include "xla/hlo/ir/hlo_module.h"
@@ -47,7 +39,6 @@ limitations under the License.
 #include "xla/hlo/ir/hlo_sharding.h"
 #include "xla/hlo/ir/replica_group.h"
 #include "xla/hlo/transforms/simplifiers/hlo_dce.h"
-#include "xla/hlo/utils/hlo_query.h"
 #include "xla/hlo/utils/hlo_sharding_util.h"
 #include "xla/literal.h"
 #include "xla/literal_util.h"
@@ -55,7 +46,6 @@ limitations under the License.
 #include "xla/service/spmd/spmd_partitioner.h"
 #include "xla/shape.h"
 #include "xla/shape_util.h"
-#include "xla/tsl/platform/errors.h"
 #include "xla/tsl/platform/statusor.h"
 #include "xla/util.h"
 #include "xla/xla_data.pb.h"
@@ -822,9 +812,6 @@ template <typename Arg, IsHloModulePointer<Arg> = 0>
 std::decay_t<Arg> FakeHloModule(Arg&& module, HloModule* fake_module) {
   return fake_module;
 }
-template <class T>
-using decay_rvalue_reference_t =
-    std::conditional_t<std::is_rvalue_reference<T>::value, std::decay_t<T>, T>;
 
 // Modifies SpmdPartitioningVisitor* type objects.
 template <typename Arg, IsSpmdPartitioningVisitorPointer<Arg> = 0>