[XLA] Switch to absl::StrFormat.

Unlike Printf, StrFormat does not require type-length qualifiers, e.g
%z, %ll.  Nor does it require that you call c_str() to print strings.
So these are fixed up here as well.

PiperOrigin-RevId: 210435915

4 files changed, 4 insertions, 4 deletions

diff --git a/tensorflow/compiler/xla/service/llvm_ir/BUILD b/tensorflow/compiler/xla/service/llvm_ir/BUILD
index fc3289f30d..786448ea76 100644
--- a/tensorflow/compiler/xla/service/llvm_ir/BUILD
+++ b/tensorflow/compiler/xla/service/llvm_ir/BUILD
@@ -125,6 +125,7 @@ cc_library(
         "//tensorflow/compiler/xla:types",
         "//tensorflow/compiler/xla:xla_data_proto",
         "//tensorflow/core:lib",
+        "@com_google_absl//absl/strings:str_format",
         "@llvm//:core",
     ],
 )
diff --git a/tensorflow/compiler/xla/service/llvm_ir/fused_ir_emitter.cc b/tensorflow/compiler/xla/service/llvm_ir/fused_ir_emitter.cc
index 72ede377e1..6d637cad6d 100644
--- a/tensorflow/compiler/xla/service/llvm_ir/fused_ir_emitter.cc
+++ b/tensorflow/compiler/xla/service/llvm_ir/fused_ir_emitter.cc
@@ -98,7 +98,7 @@ Status FusedIrEmitter::HandleGetTupleElement(
     return Unimplemented(
         "GetTupleElement fusion currently only supports"
         " parameter operands, but found operand: %s",
-        operand->name().c_str());
+        operand->name());
   }
   // Emit code to lookup tuple element pointer, and store it in 'gte_values_'.
   llvm::Value* tuple_element_ptr = llvm_ir::EmitGetTupleElement(
diff --git a/tensorflow/compiler/xla/service/llvm_ir/llvm_loop.cc b/tensorflow/compiler/xla/service/llvm_ir/llvm_loop.cc
index 978fa5b453..2f6720b042 100644
--- a/tensorflow/compiler/xla/service/llvm_ir/llvm_loop.cc
+++ b/tensorflow/compiler/xla/service/llvm_ir/llvm_loop.cc
@@ -26,7 +26,6 @@ limitations under the License.
 #include "tensorflow/compiler/xla/shape_util.h"
 #include "tensorflow/compiler/xla/types.h"
 #include "tensorflow/compiler/xla/xla_data.pb.h"
-#include "tensorflow/core/lib/strings/stringprintf.h"
 #include "tensorflow/core/platform/logging.h"
 
 namespace xla {
diff --git a/tensorflow/compiler/xla/service/llvm_ir/loop_emitter.cc b/tensorflow/compiler/xla/service/llvm_ir/loop_emitter.cc
index cf7445804c..1553b4fc91 100644
--- a/tensorflow/compiler/xla/service/llvm_ir/loop_emitter.cc
+++ b/tensorflow/compiler/xla/service/llvm_ir/loop_emitter.cc
@@ -18,13 +18,13 @@ limitations under the License.
 #include <memory>
 #include <utility>
 
+#include "absl/strings/str_format.h"
 #include "tensorflow/compiler/xla/service/llvm_ir/llvm_loop.h"
 #include "tensorflow/compiler/xla/shape_util.h"
 #include "tensorflow/compiler/xla/status_macros.h"
 #include "tensorflow/compiler/xla/types.h"
 #include "tensorflow/compiler/xla/xla_data.pb.h"
 #include "tensorflow/core/lib/core/errors.h"
-#include "tensorflow/core/lib/strings/stringprintf.h"
 #include "tensorflow/core/platform/logging.h"
 #include "tensorflow/core/platform/protobuf.h"
 #include "tensorflow/core/platform/types.h"
@@ -105,7 +105,7 @@ std::vector<IrArray::Index> LoopEmitter::EmitIndexAndSetExitBasicBlock(
     std::unique_ptr<ForLoop> loop = loop_nest.AddLoop(
         /*start_index=*/0,
         /*end_index=*/shape_.dimensions(dimension),
-        /*suffix=*/tensorflow::strings::Printf("dim.%lld", dimension));
+        /*suffix=*/absl::StrFormat("dim.%d", dimension));
     array_index[dimension] = loop->GetIndVarValue();
   }