third_party/tensorflow-elementwise.patch

--- 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));