diff --git a/science/py-tensorflow/files/patch-tensorflow_lite_kernels_elementwise.cc b/science/py-tensorflow/files/patch-tensorflow_lite_kernels_elementwise.cc
new file mode 100644
index 000000000000..7fad158af10a
--- /dev/null
+++ b/science/py-tensorflow/files/patch-tensorflow_lite_kernels_elementwise.cc
@@ -0,0 +1,22 @@
+--- tensorflow/lite/kernels/elementwise.cc.orig	2023-09-12 16:46:28 UTC
++++ tensorflow/lite/kernels/elementwise.cc
+@@ -242,7 +242,8 @@ TfLiteStatus AbsEval(TfLiteContext* context, TfLiteNod
+   const TfLiteType type = input->type;
+   switch (type) {
+     case kTfLiteFloat32:
+-      return EvalImpl<float>(context, node, std::abs<float>, type);
++      return EvalImpl<float>(
++          context, node, [](float f) { return std::abs(f); }, type);
+     case kTfLiteInt8:
+       return AbsEvalQuantized<int8_t>(context, node, type);
+     case kTfLiteInt16:
+@@ -250,7 +251,8 @@ TfLiteStatus AbsEval(TfLiteContext* context, TfLiteNod
+                  ? 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 i) { return std::abs(i); }, type);
+     default:
+       TF_LITE_KERNEL_LOG(context, "Current data type %s is not supported.",
+                          TfLiteTypeGetName(type));
diff --git a/science/py-tensorflow/files/patch-tensorflow_tsl_framework_type__traits.h b/science/py-tensorflow/files/patch-tensorflow_tsl_framework_type__traits.h
new file mode 100644
index 000000000000..8b2cfe43ee49
--- /dev/null
+++ b/science/py-tensorflow/files/patch-tensorflow_tsl_framework_type__traits.h
@@ -0,0 +1,21 @@
+--- tensorflow/tsl/framework/type_traits.h.orig	2023-09-12 16:46:28 UTC
++++ tensorflow/tsl/framework/type_traits.h
+@@ -91,18 +91,6 @@ class numeric_limits<tsl::qint32> : public numeric_lim
+ template <>
+ class numeric_limits<tsl::qint32> : public numeric_limits<tsl::int32> {};
+ 
+-// Specialize is_signed for quantized types.
+-template <>
+-struct is_signed<tsl::qint8> : public is_signed<tsl::int8> {};
+-template <>
+-struct is_signed<tsl::quint8> : public is_signed<tsl::uint8> {};
+-template <>
+-struct is_signed<tsl::qint16> : public is_signed<tsl::int16> {};
+-template <>
+-struct is_signed<tsl::quint16> : public is_signed<tsl::uint16> {};
+-template <>
+-struct is_signed<tsl::qint32> : public is_signed<tsl::int32> {};
+-
+ }  // namespace std
+ 
+ #endif  // TENSORFLOW_TSL_FRAMEWORK_TYPE_TRAITS_H_