Remove if_mlir_tflite build flag.

PiperOrigin-RevId: 264920065

tensorflow/lite/toco/python/BUILD

@@ -1,5 +1,5 @@
 load("//tensorflow:tensorflow.bzl", "tf_py_wrap_cc")
-load("//tensorflow:tensorflow.bzl", "if_mlir_tflite", "py_binary", "tf_py_test")
+load("//tensorflow:tensorflow.bzl", "py_binary", "tf_py_test")
 
 package(
     default_visibility = [
@@ -22,10 +22,6 @@ cc_library(
     name = "toco_python_api",
     srcs = ["toco_python_api.cc"],
     hdrs = ["toco_python_api.h"],
-    defines = if_mlir_tflite(
-        if_false = [],
-        if_true = ["TFLITE_BUILD_WITH_MLIR_CONVERTER"],
-    ),
     visibility = [
         "//tensorflow/python:__subpackages__",
     ],
@@ -39,6 +35,7 @@ cc_library(
         "//tensorflow/lite/toco:toco_port",
         "//tensorflow/lite/toco:toco_tooling",
         "//tensorflow/core:protos_all_cc",
+        "//tensorflow/compiler/mlir/lite/python:graphdef_to_tfl_flatbuffer",
     ] + select({
         # This is required when running `tflite_convert` from `bazel`.
         # It requires to link with TensorFlow Ops to get the op definitions.
@@ -46,10 +43,7 @@ cc_library(
             "//tensorflow/core:ops",
         ],
         "//conditions:default": [],
-    }) + if_mlir_tflite(
-        if_false = [],
-        if_true = ["//tensorflow/compiler/mlir/lite/python:graphdef_to_tfl_flatbuffer"],
-    ),
+    }),
 )
 
 # Compatibility stub. Remove when internal customers moved.

tensorflow/lite/toco/python/toco_python_api.cc

@@ -18,6 +18,7 @@ limitations under the License.
 #include <string>
 #include <vector>
 
+#include "tensorflow/compiler/mlir/lite/python/graphdef_to_tfl_flatbuffer.h"
 #include "tensorflow/core/platform/logging.h"
 #include "tensorflow/lite/python/interpreter_wrapper/python_utils.h"
 #include "tensorflow/lite/toco/import_tensorflow.h"
@@ -28,11 +29,6 @@ limitations under the License.
 #include "tensorflow/lite/toco/toco_tooling.h"
 #include "tensorflow/lite/toco/toco_types.h"
 
-#if defined(TFLITE_BUILD_WITH_MLIR_CONVERTER)
-#include "tensorflow/compiler/mlir/lite/python/graphdef_to_tfl_flatbuffer.h"
-#endif
-#include "tensorflow/core/protobuf/graph_debug_info.pb.h"
-
 namespace toco {
 
 // NOTE(aselle): We are using raw PyObject's here because we want to make
@@ -124,18 +120,9 @@ PyObject* TocoConvert(PyObject* model_flags_proto_txt_raw,
 
   // Convert model.
   if (enable_mlir_converter) {
-#if defined(TFLITE_BUILD_WITH_MLIR_CONVERTER)
     status = tensorflow::ConvertGraphDefToTFLiteFlatBuffer(
         model_flags, toco_flags, debug_info, graph_def,
         &output_file_contents_txt);
-#else
-    // TODO(b/124314620): Remove this condition.
-    PyErr_SetString(PyExc_RuntimeError,
-                    "This flag is not supported by this version of the "
-                    "TFLite converter. This functionality is being "
-                    "actively worked on.");
-    return nullptr;
-#endif
   } else {
     model = toco::Import(toco_flags, model_flags, input_contents_txt);
     toco::Transform(toco_flags, model.get());

tensorflow/tensorflow.bzl

@@ -2556,9 +2556,5 @@ def if_mlir(if_true, if_false = []):
         "//tensorflow:with_mlir_support": if_true,
     })
 
-# TODO(b/138724071): Remove when build is stable.
-def if_mlir_tflite(if_true, if_false = []):
-    return if_true  # Internally we always build with MLIR.
-
 def tfcompile_extra_flags():
     return ""