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index 6c7b7e941f..fc08dbc437 100644
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+++ b/docs/user_guide/library.dox
@@ -561,6 +561,35 @@ Selecting fat_binary when building Compute Library, will create a library that c
Based on the CPU support, the appropriate kernel will be selected at runtime for execution. Currently this option is
only supported with armv8.2-a as the base architecture.
+@subsection architecture_experimental_per_operator_build Per-operator build
+
+Dependencies for all operators have been explicitly defined, this provides the ability to users to generate Compute Library
+binaries that include a user-defined list of operators.
+
+An experimental flag 'build_config' has been introduced where a JSON configuration file can be provided and consumed.
+An example config looks like:
+@code{.py}
+{
+ "operators": [
+ "Activation",
+ "DepthwiseConv2d",
+ "Conv2d",
+ "Permute",
+ "Pool2d",
+ "Reshape"
+ ],
+ "data_types": [
+ "NHWC"
+ ]
+}
+@endcode
+
+Supported data-types options are:
+- "NHWC"
+- "NCHW"
+
+The list of supported operators can be found in filelist.json in the root of Compute Library repo.
+
@subsection architecture_experimental_build_high_priority_operators Build high priority operators
Selecting high_priority when building Compute Library, one new library will be created: libarm_compute_hp and