diff --git a/llvm/cmake/modules/TensorFlowCompile.cmake b/llvm/cmake/modules/TensorFlowCompile.cmake --- a/llvm/cmake/modules/TensorFlowCompile.cmake +++ b/llvm/cmake/modules/TensorFlowCompile.cmake @@ -16,20 +16,32 @@ # ${CMAKE_CURRENT_BINARY_DIR}. The generated header will define a C++ class # called ${cpp_class} - which may be a namespace-qualified class name. function(tfcompile model tag_set signature_def_key fname cpp_class) - tfgetmodel(${model} LLVM_ML_MODELS_ABSOLUTE) - message("Using model at " ${LLVM_ML_MODELS_ABSOLUTE}) 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} - ) + string(TOUPPER ${fname} fname_allcaps) + set(OVERRIDE_HEADER ${LLVM_OVERRIDE_MODEL_HEADER_${fname_allcaps}}) + set(OVERRIDE_OBJECT ${LLVM_OVERRIDE_MODEL_OBJECT_${fname_allcaps}}) + if (EXISTS "${OVERRIDE_HEADER}" AND EXISTS "${OVERRIDE_OBJECT}") + configure_file(${OVERRIDE_HEADER} ${hdr_file} COPYONLY) + configure_file(${OVERRIDE_OBJECT} ${obj_file} COPYONLY) + message("Using provided header " + ${hdr_file} " and object " ${obj_file} + " files for model " ${model}) + else() + + tfgetmodel(${model} LLVM_ML_MODELS_ABSOLUTE) + message("Using model at " ${LLVM_ML_MODELS_ABSOLUTE}) + 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} + ) + endif() # Aggregate the objects so that results of different tfcompile calls may be # grouped into one target.