experiments/STT-tensorflow
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Removed unused dependencies in side effect analysis and converted some pointers to refs (NFC).

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PiperOrigin-RevId: 334600822
Change-Id: I93ae888692433dc27ff73a4152ea16d261c1e461
This commit is contained in:
Andy Ly 2020-09-30 08:10:27 -07:00 committed by TensorFlower Gardener
parent 3db7b6d07b
commit 1c9964097d
3 changed files with 14 additions and 16 deletions
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1
tensorflow/compiler/mlir/tensorflow/BUILD
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@ -812,7 +812,6 @@ cc_library(
":tensorflow",
":tensorflow_types",
"//tensorflow/core:framework",
"@com_google_absl//absl/strings",
"@llvm-project//llvm:Support",
"@llvm-project//mlir:Analysis",
"@llvm-project//mlir:IR",

28
tensorflow/compiler/mlir/tensorflow/analysis/resource_alias_analysis.cc
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@ -18,21 +18,18 @@ limitations under the License.
#include <cstdint>
#include <initializer_list>
#include "absl/strings/str_cat.h"
#include "llvm/ADT/ArrayRef.h"
#include "llvm/ADT/DenseMap.h"
#include "llvm/ADT/DenseSet.h"
#include "llvm/ADT/Optional.h"
#include "llvm/ADT/SCCIterator.h"
#include "llvm/ADT/STLExtras.h"
#include "llvm/ADT/SmallVector.h"
#include "llvm/ADT/StringRef.h"
#include "llvm/ADT/iterator_range.h"
#include "llvm/Support/Casting.h"
#include "llvm/Support/Debug.h"
#include "mlir/Analysis/CallGraph.h" // from @llvm-project
#include "mlir/IR/Attributes.h" // from @llvm-project
#include "mlir/IR/Block.h" // from @llvm-project
#include "mlir/IR/Builders.h" // from @llvm-project
#include "mlir/IR/Location.h" // from @llvm-project
#include "mlir/IR/Module.h" // from @llvm-project
#include "mlir/IR/Operation.h" // from @llvm-project
#include "mlir/IR/StandardTypes.h" // from @llvm-project
@ -248,22 +245,25 @@ bool IsResourceHandleAnonymous(VarHandleOp handle) {
// Returns a string unique identifier for a non-anonymous VarHandleOp.
std::string GetVarHandleStringId(VarHandleOp handle) {
auto device = handle.getAttrOfType<StringAttr>("device");
return absl::StrCat(handle.container().str(), "/", handle.shared_name().str(),
"/", device ? device.getValue().str() : std::string(""));
return llvm::join(
llvm::ArrayRef<llvm::StringRef>{
handle.container(), handle.shared_name(),
device ? device.getValue() : llvm::StringRef()},
"/");
}
// Finds a unique ID for a VarHandleOp's output. If it is anonymous, always
// creates a new ID; otherwise, tries to reuse the existing ID for the
// referenced variable if it exists, or creates a new one if not.
int64_t GetOrCreateIdForVarHandle(VarHandleOp handle, int64_t* next_id,
llvm::StringMap<int64_t>* name_id_map) {
int64_t GetOrCreateIdForVarHandle(VarHandleOp handle, int64_t& next_id,
llvm::StringMap<int64_t>& name_id_map) {
// Always create a new ID for anonymous handle.
if (IsResourceHandleAnonymous(handle)) return (*next_id)++;
if (IsResourceHandleAnonymous(handle)) return next_id++;
auto name = GetVarHandleStringId(handle);
auto emplace_res = name_id_map->try_emplace(name, *next_id);
auto emplace_res = name_id_map.try_emplace(name, next_id);
// New ID created, increment next_id.
if (emplace_res.second) ++(*next_id);
if (emplace_res.second) ++next_id;
return emplace_res.first->second;
}
@ -343,8 +343,8 @@ ResourceAliasAnalysisInfo::ResourceAliasAnalysisInfo(
if (auto var_handle = dyn_cast<VarHandleOp>(op)) {
AddValueUniqueIDMapping(
var_handle.resource(),
GetOrCreateIdForVarHandle(var_handle, &next_unique_id,
&var_handle_name_id_map));
GetOrCreateIdForVarHandle(var_handle, next_unique_id,
var_handle_name_id_map));
} else if (llvm::isa<IdentityNOp, IdentityOp>(op)) {
for (auto result : filter_resources(op->getResults()))
PropagateInputToOutput(op->getOperand(result.getResultNumber()),

1
tensorflow/compiler/mlir/tensorflow/analysis/side_effect_analysis.cc
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@ -18,7 +18,6 @@ limitations under the License.
#include <cstdint>
#include <initializer_list>
#include "absl/strings/str_cat.h"
#include "llvm/ADT/DenseMap.h"
#include "llvm/ADT/DenseSet.h"
#include "llvm/ADT/Optional.h"