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# Run the tensorflow compiler (saved_model_cli) on the saved model in the
# ${model} directory, looking for the ${tag_set} tag set, and the SignatureDef
# ${signature_def_key}.
# Produce a pair of files called ${fname}.h and ${fname}.o in the
# ${CMAKE_CURRENT_BINARY_DIR}. The generated header will define a C++ class
# called ${cpp_class} - which may be a namespace-qualified class name.
function(tfcompile model tag_set signature_def_key fname cpp_class)
if (IS_ABSOLUTE ${model})
set(LLVM_ML_MODELS_ABSOLUTE ${model})
else()
set(LLVM_ML_MODELS_ABSOLUTE
${CMAKE_CURRENT_SOURCE_DIR}/${model})
endif()
set(prefix ${CMAKE_CURRENT_BINARY_DIR}/${fname})
set(obj_file ${prefix}.o)
set(hdr_file ${prefix}.h)
add_custom_command(OUTPUT ${obj_file} ${hdr_file}
COMMAND "XLA_FLAGS=\"--xla_cpu_multi_thread_eigen=false\"" ${TENSORFLOW_AOT_COMPILER} aot_compile_cpu
--dir ${LLVM_ML_MODELS_ABSOLUTE}
--tag_set ${tag_set}
--signature_def_key ${signature_def_key}
--output_prefix ${prefix}
--cpp_class ${cpp_class}
--target_triple ${LLVM_HOST_TRIPLE}
)
# Aggregate the objects so that results of different tfcompile calls may be
# grouped into one target.
set(GENERATED_OBJS ${GENERATED_OBJS} ${obj_file} PARENT_SCOPE)
set_source_files_properties(${obj_file} PROPERTIES
GENERATED 1 EXTERNAL_OBJECT 1)
set(GENERATED_HEADERS ${GENERATED_HEADERS} ${hdr_file} PARENT_SCOPE)
set_source_files_properties(${hdr_file} PROPERTIES
GENERATED 1)
endfunction()
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