Delete parallel_check_op_flags.

PiperOrigin-RevId: 212002568

3 files changed, 0 insertions, 132 deletions

diff --git a/tensorflow/compiler/jit/legacy_flags/BUILD b/tensorflow/compiler/jit/legacy_flags/BUILD
index 5b6692f523..07c5b23188 100644
--- a/tensorflow/compiler/jit/legacy_flags/BUILD
+++ b/tensorflow/compiler/jit/legacy_flags/BUILD
@@ -29,18 +29,6 @@ cc_library(
 )
 
 cc_library(
-    name = "parallel_check_op_flags",
-    srcs = ["parallel_check_op_flags.cc"],
-    hdrs = ["parallel_check_op_flags.h"],
-    deps =
-        [
-            "//tensorflow/compiler/xla/legacy_flags:parse_flags_from_env",
-            "//tensorflow/core:framework_internal",
-            "//tensorflow/core:lib",
-        ],
-)
-
-cc_library(
     name = "xla_device_flags",
     srcs = ["xla_device_flags.cc"],
     hdrs = ["xla_device_flags.h"],
diff --git a/tensorflow/compiler/jit/legacy_flags/parallel_check_op_flags.cc b/tensorflow/compiler/jit/legacy_flags/parallel_check_op_flags.cc
deleted file mode 100644
index a61694b494..0000000000
--- a/tensorflow/compiler/jit/legacy_flags/parallel_check_op_flags.cc
+++ /dev/null
@@ -1,68 +0,0 @@
-/* Copyright 2017 The TensorFlow Authors. All Rights Reserved.
-
-Licensed under the Apache License, Version 2.0 (the "License");
-you may not use this file except in compliance with the License.
-You may obtain a copy of the License at
-
-    http://www.apache.org/licenses/LICENSE-2.0
-
-Unless required by applicable law or agreed to in writing, software
-distributed under the License is distributed on an "AS IS" BASIS,
-WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-See the License for the specific language governing permissions and
-limitations under the License.
-==============================================================================*/
-
-// Legacy flags for the XLA bridge's parallel_check_op module.
-
-#include <mutex>
-#include <vector>
-
-#include "tensorflow/compiler/jit/legacy_flags/parallel_check_op_flags.h"
-#include "tensorflow/compiler/xla/legacy_flags/parse_flags_from_env.h"
-#include "tensorflow/core/platform/types.h"
-#include "tensorflow/core/util/command_line_flags.h"
-
-namespace tensorflow {
-namespace legacy_flags {
-
-// Pointers to the parsed value of the flags and flag descriptors, initialized
-// via flags_init.
-static ParallelCheckOpFlags* flags;
-static std::vector<Flag>* flag_list;
-static std::once_flag flags_init;
-
-// Allocate *flags.  Called via call_once(&flags_init,...).
-static void AllocateFlags() {
-  flags = new ParallelCheckOpFlags;
-  flags->parallel_check_failfast = true;
-  flags->parallel_check_atol = "1e-5";
-  flags->parallel_check_rtol = "1e-5";
-  flag_list = new std::vector<Flag>({
-      Flag("parallel_check_failfast", &flags->parallel_check_failfast,
-           "Fail immediately on first parallel-check comparison error."),
-      Flag("parallel_check_atol", &flags->parallel_check_atol,
-           "Absolute error tolerance for parallel-check comparison."),
-      Flag("parallel_check_rtol", &flags->parallel_check_rtol,
-           "Relative error tolerance for parallel-check comparison."),
-  });
-  xla::legacy_flags::ParseFlagsFromEnv(*flag_list);
-}
-
-// Append to *append_to flag definitions associated with the XLA bridge's
-// parallel_check_op module.
-void AppendParallelCheckOpFlags(std::vector<Flag>* append_to) {
-  std::call_once(flags_init, &AllocateFlags);
-  append_to->insert(append_to->end(), flag_list->begin(), flag_list->end());
-}
-
-// Return a pointer to the ParallelCheckOpFlags struct;
-// repeated calls return the same pointer.
-// This should be called only after Flags::Parse() has returned.
-ParallelCheckOpFlags* GetParallelCheckOpFlags() {
-  std::call_once(flags_init, &AllocateFlags);
-  return flags;
-}
-
-}  // namespace legacy_flags
-}  // namespace tensorflow
diff --git a/tensorflow/compiler/jit/legacy_flags/parallel_check_op_flags.h b/tensorflow/compiler/jit/legacy_flags/parallel_check_op_flags.h
deleted file mode 100644
index 156a2a2a71..0000000000
--- a/tensorflow/compiler/jit/legacy_flags/parallel_check_op_flags.h
+++ /dev/null
@@ -1,52 +0,0 @@
-/* Copyright 2017 The TensorFlow Authors. All Rights Reserved.
-
-Licensed under the Apache License, Version 2.0 (the "License");
-you may not use this file except in compliance with the License.
-You may obtain a copy of the License at
-
-    http://www.apache.org/licenses/LICENSE-2.0
-
-Unless required by applicable law or agreed to in writing, software
-distributed under the License is distributed on an "AS IS" BASIS,
-WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-See the License for the specific language governing permissions and
-limitations under the License.
-==============================================================================*/
-
-#ifndef TENSORFLOW_COMPILER_JIT_LEGACY_FLAGS_PARALLEL_CHECK_OP_FLAGS_H_
-#define TENSORFLOW_COMPILER_JIT_LEGACY_FLAGS_PARALLEL_CHECK_OP_FLAGS_H_
-
-// Legacy flags for the XLA bridge's parallel_check_op module.
-
-#include <vector>
-
-#include "tensorflow/core/platform/types.h"
-#include "tensorflow/core/util/command_line_flags.h"
-
-namespace tensorflow {
-namespace legacy_flags {
-
-// Append to *flag_list flag definitions associated with the XLA bridge's
-// parallel_check_op module.
-void AppendParallelCheckOpFlags(std::vector<tensorflow::Flag>* flag_list);
-
-// The values of flags associated with the XLA bridge's
-// parallel_check_op module.
-typedef struct {
-  bool parallel_check_failfast;  // Fail immediately on first parallel-check
-                                 // comparison error.
-  string parallel_check_atol;    // Absolute error tolerance for parallel-check
-                                 // comparison.
-  string parallel_check_rtol;    // Relative error tolerance for parallel-check
-                                 // comparison.
-} ParallelCheckOpFlags;
-
-// Return a pointer to the ParallelCheckOpFlags struct;
-// repeated calls return the same pointer.
-// This should be called only after Flags::Parse() has returned.
-ParallelCheckOpFlags* GetParallelCheckOpFlags();
-
-}  // namespace legacy_flags
-}  // namespace tensorflow
-
-#endif  // TENSORFLOW_COMPILER_JIT_LEGACY_FLAGS_PARALLEL_CHECK_OP_FLAGS_H_