TFLite build fix for XCode with clang 21

Fixes errors like the following:

```cpp
[build] third_party/tensorflow/tensorflow/lite/kernels/elementwise.cc:304:14: error: no matching function for call to 'EvalImpl'
[build]   304 |       return EvalImpl<int32_t>(context, node, std::abs<int32_t>, type);
[build]       |              ^~~~~~~~~~~~~~~~~
[build] third_party/tensorflow/tensorflow/lite/kernels/elementwise.cc:243:21: note: candidate function template not viable: no overload of 'abs' matching 'std::function<int32_t (int32_t)>' (aka 'function<int (int)>') for 3rd argument
```

CMakeLists.txt

diff --git a/CMakeLists.txt b/CMakeLists.txt
index a329f38..7e21739 100644
--- a/CMakeLists.txt
+++ b/CMakeLists.txt
@@ -564,6 +564,7 @@
         "tar -xzf tensorflow.tar.gz; "
         "cd tensorflow; "
         "patch -p1 < ../tensorflow-designated-initializers.patch; "
+        "patch -p1 < ../tensorflow-elementwise.patch; "
         "cd ..; "
         "tar -xzf deps_cmake.tar.gz; "
         "cp deps_cmake/abseil-cpp.cmake ${CMAKE_CURRENT_SOURCE_DIR}/third_party/tensorflow/tensorflow/lite/tools/cmake/modules; "

third_party/tensorflow-elementwise.patch

diff --git a/third_party/tensorflow-elementwise.patch b/third_party/tensorflow-elementwise.patch
new file mode 100644
index 0000000..a6603fd
--- /dev/null
+++ b/third_party/tensorflow-elementwise.patch
@@ -0,0 +1,21 @@
+--- a/tensorflow/lite/kernels/elementwise.cc
++++ b/tensorflow/lite/kernels/elementwise.cc
+@@ -293,14 +293,16 @@
+   switch (type) {
+     case kTfLiteFloat32:
+-      return EvalImpl<float>(context, node, std::abs<float>, type);
++      return EvalImpl<float>(context, node,
++                         [](float v) { return std::abs(v); }, type);
+     case kTfLiteInt8:
+       return AbsEvalQuantized<int8_t>(context, node, type);
+     case kTfLiteInt16:
+       return input->quantization.type == kTfLiteNoQuantization
+                  ? AbsInt16EvalImpl(context, node, type)
+                  : AbsEvalQuantized<int16_t>(context, node, type);
+     case kTfLiteInt32:
+-      return EvalImpl<int32_t>(context, node, std::abs<int32_t>, type);
++      return EvalImpl<int32_t>(context, node,
++                         [](int32_t v) { return std::abs(v); }, type);
+     default:
+       TF_LITE_KERNEL_LOG(context, "Current data type %%s is not supported.",
+                          TfLiteTypeGetName(type));