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authorDanny <danny@kdrag0n.dev>2021-01-09 23:34:32 +0000
committermosimchah <mosimchah@gmail.com>2021-01-22 03:35:20 -0800
commit783d21ff74759076d2fc503685ca47d2c29baea3 (patch)
treed650cc46cbf7ca53f15c77ced2682e97d492c068 /lib/cmake/llvm/TensorFlowCompile.cmake
parentfdbc6f7102056fb52d26bfb2cbc6ea317890ee34 (diff)
Update to 20210109 buildHEADmaster
LLVM commit: https://github.com/llvm/llvm-project/commit/b02eab9058e58782fca32dd8b1e53c27ed93f866 binutils version: 2.35.1 Builder commit: https://github.com/kdrag0n/proton-clang-build/commit/ba42f701467c9103f23fbb90aca4b23858221ee2
Diffstat (limited to 'lib/cmake/llvm/TensorFlowCompile.cmake')
-rw-r--r--lib/cmake/llvm/TensorFlowCompile.cmake38
1 files changed, 38 insertions, 0 deletions
diff --git a/lib/cmake/llvm/TensorFlowCompile.cmake b/lib/cmake/llvm/TensorFlowCompile.cmake
new file mode 100644
index 0000000..a8ba56e
--- /dev/null
+++ b/lib/cmake/llvm/TensorFlowCompile.cmake
@@ -0,0 +1,38 @@
+# 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()