Add build variants for _gms to some MediaPipe libraries that use TFLite

This change alters some cc_library to cc_library_with_tflite to add _gms variants to some select MediaPipe libraries. This CL also makes minimal changes in the code to make the _gms variants buildable.

PiperOrigin-RevId: 518336242

mediapipe/calculators/tflite/BUILD

@@ -14,6 +14,7 @@
 #
 
 load("//mediapipe/framework/port:build_config.bzl", "mediapipe_proto_library")
+load("@org_tensorflow//tensorflow/lite/core/shims:cc_library_with_tflite.bzl", "cc_library_with_tflite")
 load("@bazel_skylib//lib:selects.bzl", "selects")
 
 licenses(["notice"])
@@ -312,15 +313,19 @@ cc_library(
     alwayslink = 1,
 )
 
-cc_library(
+# TODO: Re-evaluate which of these libraries we can avoid making
+# cc_library_with_tflite and can be changed back to cc_library.
+cc_library_with_tflite(
     name = "tflite_model_calculator",
     srcs = ["tflite_model_calculator.cc"],
+    tflite_deps = [
+        "@org_tensorflow//tensorflow/lite:framework_stable",
+    ],
     deps = [
         "//mediapipe/framework:calculator_framework",
         "//mediapipe/framework:packet",
         "//mediapipe/framework/port:ret_check",
         "@com_google_absl//absl/status",
-        "@org_tensorflow//tensorflow/lite/core/shims:framework_stable",
     ],
     alwayslink = 1,
 )

mediapipe/calculators/tflite/tflite_custom_op_resolver_calculator.cc

@@ -66,7 +66,7 @@ class TfLiteCustomOpResolverCalculator : public CalculatorBase {
     } else {
       cc->OutputSidePackets()
           .Index(0)
-          .Set<tflite_shims::ops::builtin::BuiltinOpResolver>();
+          .Set<tflite::ops::builtin::BuiltinOpResolver>();
     }
     return absl::OkStatus();
   }
@@ -77,7 +77,7 @@ class TfLiteCustomOpResolverCalculator : public CalculatorBase {
     const TfLiteCustomOpResolverCalculatorOptions& options =
         cc->Options<TfLiteCustomOpResolverCalculatorOptions>();
 
-    std::unique_ptr<tflite_shims::ops::builtin::BuiltinOpResolver> op_resolver;
+    std::unique_ptr<tflite::ops::builtin::BuiltinOpResolver> op_resolver;
     if (options.use_gpu()) {
       op_resolver = absl::make_unique<mediapipe::OpResolver>();
     } else {

mediapipe/calculators/tflite/tflite_model_calculator.cc

@@ -21,7 +21,7 @@
 #include "mediapipe/framework/packet.h"
 #include "mediapipe/framework/port/ret_check.h"
 #include "tensorflow/lite/allocation.h"
-#include "tensorflow/lite/core/shims/cc/model.h"
+#include "tensorflow/lite/model.h"
 
 namespace mediapipe {
 
@@ -82,7 +82,7 @@ class TfLiteModelCalculator : public CalculatorBase {
     }
 
     if (cc->InputSidePackets().HasTag("MODEL_FD")) {
-#ifdef ABSL_HAVE_MMAP
+#if defined(ABSL_HAVE_MMAP) && !TFLITE_WITH_STABLE_ABI
       model_packet = cc->InputSidePackets().Tag("MODEL_FD");
       const auto& model_fd =
           model_packet.Get<std::tuple<int, size_t, size_t>>();

mediapipe/util/tflite/BUILD

@@ -30,10 +30,16 @@ cc_library(
     ],
 )
 
-cc_library(
+# TODO: Re-evaluate which of these libraries we can avoid making
+# cc_library_with_tflite and can be changed back to cc_library.
+cc_library_with_tflite(
     name = "cpu_op_resolver",
     srcs = ["cpu_op_resolver.cc"],
     hdrs = ["cpu_op_resolver.h"],
+    tflite_deps = [
+        "@org_tensorflow//tensorflow/lite:framework_stable",
+        "@org_tensorflow//tensorflow/lite/kernels:builtin_ops",
+    ],
     visibility = ["//visibility:public"],
     deps = [
         "//mediapipe/framework/port:logging",
@@ -44,8 +50,6 @@ cc_library(
         "//mediapipe/util/tflite/operations:transform_tensor_bilinear",
         "//mediapipe/util/tflite/operations:transpose_conv_bias",
         "@org_tensorflow//tensorflow/lite:builtin_op_data",
-        "@org_tensorflow//tensorflow/lite/core/shims:builtin_ops",
-        "@org_tensorflow//tensorflow/lite/core/shims:framework_stable",
     ],
     # For using the symbol `MediaPipe_RegisterTfLiteOpResolver` in Python
     # with `tensorflow.lite.python.interpreter.InterpreterWithCustomOps`.
@@ -63,13 +67,17 @@ cc_library(
     ],
 )
 
-cc_library(
+# TODO: Re-evaluate which of these libraries we can avoid making
+# cc_library_with_tflite and can be changed back to cc_library.
+cc_library_with_tflite(
     name = "op_resolver",
     srcs = ["op_resolver.cc"],
     hdrs = ["op_resolver.h"],
+    tflite_deps = [
+        "@org_tensorflow//tensorflow/lite/kernels:builtin_ops",
+    ],
     deps = [
         "@org_tensorflow//tensorflow/lite:builtin_op_data",
-        "@org_tensorflow//tensorflow/lite/core/shims:builtin_ops",
     ],
 )
 

mediapipe/util/tflite/cpu_op_resolver.h

@@ -15,7 +15,7 @@
 #ifndef MEDIAPIPE_UTIL_TFLITE_CPU_OP_RESOLVER_H_
 #define MEDIAPIPE_UTIL_TFLITE_CPU_OP_RESOLVER_H_
 
-#include "tensorflow/lite/core/shims/cc/kernels/register.h"
+#include "tensorflow/lite/kernels/register.h"
 
 namespace mediapipe {
 
@@ -27,8 +27,8 @@ extern "C" void MediaPipe_RegisterTfLiteOpResolver(tflite::MutableOpResolver*);
 
 // This resolver is used for the custom ops introduced by
 // `MediaPipe_RegisterTfLiteOpResolver` (see above).
-class CpuOpResolver : public tflite_shims::ops::builtin::
+class CpuOpResolver
-                          BuiltinOpResolverWithoutDefaultDelegates {
+    : public tflite::ops::builtin::BuiltinOpResolverWithoutDefaultDelegates {
  public:
   CpuOpResolver() { MediaPipe_RegisterTfLiteOpResolver(this); }
 };

mediapipe/util/tflite/op_resolver.h

@@ -15,13 +15,13 @@
 #ifndef MEDIAPIPE_UTIL_TFLITE_OP_RESOLVER_H_
 #define MEDIAPIPE_UTIL_TFLITE_OP_RESOLVER_H_
 
-#include "tensorflow/lite/core/shims/cc/kernels/register.h"
+#include "tensorflow/lite/kernels/register.h"
 
 namespace mediapipe {
 
 // This OpResolver is used for supporting "Convolution2DTransposeBias" on GPU.
-class OpResolver : public tflite_shims::ops::builtin::
+class OpResolver
-                       BuiltinOpResolverWithoutDefaultDelegates {
+    : public tflite::ops::builtin::BuiltinOpResolverWithoutDefaultDelegates {
  public:
   OpResolver();
 };