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 @@ -1,14 +1,45 @@ -# Ensure the ${model} is available at ${final_path}. -# -function(tfgetmodel model final_path) - if (IS_ABSOLUTE ${model}) - set(${final_path} ${model} PARENT_SCOPE) +function(tf_get_absolute_path path base final_path) + if (IS_ABSOLUTE ${path}) + set(${final_path} ${path} PARENT_SCOPE) else() - set(${final_path} - ${CMAKE_CURRENT_SOURCE_DIR}/${model} PARENT_SCOPE) + set(${final_path} ${base}/${path} PARENT_SCOPE) endif() endfunction() +function(tf_get_model model final_path) + string(FIND ${model} "http:" pos_http) + string(FIND ${model} "https:" pos_https) + if (${pos_http} EQUAL 0 OR ${pos_https} EQUAL 0) + message("Downloading model " ${model}) + string(FIND ${model} "/" fname_start REVERSE) + math(EXPR fname_start "${fname_start}+1") + string(SUBSTRING ${model} ${fname_start}+1 -1 fname) + message("Model archive: " ${fname}) + file(DOWNLOAD ${model} ${CMAKE_CURRENT_BINARY_DIR}/${fname}) + file(ARCHIVE_EXTRACT INPUT + ${CMAKE_CURRENT_BINARY_DIR}/${fname} + DESTINATION ${CMAKE_CURRENT_BINARY_DIR}/${fname}_model) + set(${final_path} ${CMAKE_CURRENT_BINARY_DIR}/${fname}_model/model PARENT_SCOPE) + else() + tf_get_absolute_path(${model} ${CMAKE_CURRENT_BINARY_DIR} model_path) + set(${final_path} ${model_path} PARENT_SCOPE) + endif() +endfunction() + +# Generate a mock model for tests. +function(generate_mock_model model generate_mock_model_py config) + tf_get_absolute_path(${model} ${CMAKE_CURRENT_BINARY_DIR} LLVM_ML_MODELS_ABSOLUTE) + tf_get_absolute_path(${generate_mock_model_py} ${CMAKE_CURRENT_SOURCE_DIR} GENERATE_INLINING_MODEL_ABSOLUTE) + tf_get_absolute_path(${config} ${CMAKE_CURRENT_SOURCE_DIR} LLVM_ML_MODEL_CONFIG_ABSOLUTE) + message(WARNING "Autogenerated mock models should not be used in production builds.") + execute_process(COMMAND python3 + ${GENERATE_INLINING_MODEL_ABSOLUTE} + ${LLVM_ML_MODEL_CONFIG_ABSOLUTE} + ${LLVM_ML_MODELS_ABSOLUTE}-autogenerated + WORKING_DIRECTORY ${CMAKE_CURRENT_SOURCE_DIR} + ) +endfunction() + # 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}. @@ -29,7 +60,7 @@ ${hdr_file} " and object " ${obj_file} " files for model " ${model}) else() - tfgetmodel(${model} LLVM_ML_MODELS_ABSOLUTE) + tf_get_absolute_path(${model} ${CMAKE_CURRENT_BINARY_DIR} LLVM_ML_MODELS_ABSOLUTE) message("Using model at " ${LLVM_ML_MODELS_ABSOLUTE}) add_custom_command(OUTPUT ${obj_file} ${hdr_file} COMMAND ${TENSORFLOW_AOT_COMPILER} aot_compile_cpu @@ -52,5 +83,32 @@ set(GENERATED_HEADERS ${GENERATED_HEADERS} ${hdr_file} PARENT_SCOPE) set_source_files_properties(${hdr_file} PROPERTIES GENERATED 1) - + +endfunction() + +function(tf_find_and_compile model default_url default_path generation_config tag_set signature_def_key fname cpp_class) + if ("${model}" STREQUAL "download") + set(model ${default_url}) + endif() + + if ("${model}" STREQUAL "autogenerate") + generate_mock_model(${default_path} models/generate_mock_model.py ${generation_config}) + set(model ${default_path}-autogenerated) + endif() + + tf_get_model(${model} LLVM_ML_MODELS_ABSOLUTE) + tfcompile(${LLVM_ML_MODELS_ABSOLUTE} ${tag_set} ${signature_def_key} ${fname} ${cpp_class}) + + 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) + + set(GeneratedMLSources ${GeneratedMLSources} ${GENERATED_HEADERS} PARENT_SCOPE) + set(MLDeps ${MLDeps} tf_xla_runtime PARENT_SCOPE) + set(MLLinkDeps ${MLLinkDeps} tf_xla_runtime ${GENERATED_OBJS} PARENT_SCOPE) + endfunction() diff --git a/llvm/lib/Analysis/CMakeLists.txt b/llvm/lib/Analysis/CMakeLists.txt --- a/llvm/lib/Analysis/CMakeLists.txt +++ b/llvm/lib/Analysis/CMakeLists.txt @@ -1,19 +1,33 @@ if (DEFINED LLVM_HAVE_TF_AOT OR DEFINED LLVM_HAVE_TF_API) + include(TensorFlowCompile) + set(LLVM_INLINER_MODEL_PATH_DEFAULT "models/inliner-Oz") + + # This url points to the most recent most which is known to be compatible with + # LLVM. When better models are published, this url should be updated to aid + # discoverability. + set(LLVM_INLINER_MODEL_CURRENT_URL "https://github.com/google/ml-compiler-opt/releases/download/inlining-Oz-v0.1/inlining-Oz-acabaf6-v0.1.tar.gz") + if (DEFINED LLVM_HAVE_TF_AOT) - set(LLVM_INLINER_MODEL_PATH "models/inliner" - CACHE STRING - "ML-driven inliner policy location (path to saved model)") - include(TensorFlowCompile) - tfcompile(${LLVM_INLINER_MODEL_PATH} serve action InlinerSizeModel llvm::InlinerSizeModel) - list(APPEND GeneratedMLSources - ${GENERATED_HEADERS} + # If the path is empty, autogenerate the model + if (NOT DEFINED LLVM_INLINER_MODEL_PATH OR "${LLVM_INLINER_MODEL_PATH}" STREQUAL "") + set(LLVM_INLINER_MODEL_PATH "autogenerate") + message(WARNING "LLVM_INLINER_MODEL_PATH was not set: autogenerating a model to finish the build.") + endif() + + tf_find_and_compile( + ${LLVM_INLINER_MODEL_PATH} + ${LLVM_INLINER_MODEL_CURRENT_URL} + ${LLVM_INLINER_MODEL_PATH_DEFAULT} + "models/inlining/config.py" + serve + action + InlinerSizeModel + llvm::InlinerSizeModel ) - LIST(APPEND MLDeps tf_xla_runtime) - LIST(APPEND MLLinkDeps tf_xla_runtime ${GENERATED_OBJS}) endif() if (DEFINED LLVM_HAVE_TF_API) - LIST(APPEND MLLinkDeps ${tensorflow_c_api}) + list(APPEND MLLinkDeps ${tensorflow_c_api}) endif() endif() diff --git a/llvm/lib/Analysis/models/generate_mock_model.py b/llvm/lib/Analysis/models/generate_mock_model.py new file mode 100644 --- /dev/null +++ b/llvm/lib/Analysis/models/generate_mock_model.py @@ -0,0 +1,69 @@ +"""Generate a mock model for LLVM tests. + +The generated model is not a neural net - it is just a tf.function with the +correct input and output parameters. By construction, the mock model will always +output 1. +""" + +import os +import importlib.util +import sys + +import tensorflow as tf + + +def get_output_spec_path(path): + return os.path.join(path, 'output_spec.json') + + +def build_mock_model(path, signature): + """Build and save the mock model with the given signature""" + module = tf.Module() + + # We have to set this useless variable in order for the TF C API to correctly + # intake it + module.var = tf.Variable(0.) + + def action(*inputs): + s = tf.reduce_sum([tf.cast(x, tf.float32) for x in tf.nest.flatten(inputs)]) + return {signature['output']: float('inf') + s + module.var} + + module.action = tf.function()(action) + action = {'action': module.action.get_concrete_function(signature['inputs'])} + tf.saved_model.save(module, path, signatures=action) + + output_spec_path = get_output_spec_path(path) + with open(output_spec_path, 'w') as f: + print(f'Writing output spec to {output_spec_path}.') + f.write(signature['output_spec']) + + +def get_external_signature(config_path): + """Get the signature for the desired model. + + We manually import the python file at config_path to avoid adding a gin + dependency to the LLVM build. + """ + spec = importlib.util.spec_from_file_location('config', config_path) + config = importlib.util.module_from_spec(spec) + spec.loader.exec_module(config) + + return { + 'inputs': config.get_input_signature(), + 'output': config.get_output_signature(), + 'output_spec': config.get_output_spec() + } + + +def main(argv): + assert len(argv) == 3 + config_path = argv[1] + model_path = argv[2] + + print(f'Using config file at [{argv[1]}]') + signature = get_external_signature(config_path) + build_mock_model(model_path, signature) + + +if __name__ == '__main__': + main(sys.argv) diff --git a/llvm/lib/Analysis/models/inliner/README.txt b/llvm/lib/Analysis/models/inliner/README.txt deleted file mode 100644 --- a/llvm/lib/Analysis/models/inliner/README.txt +++ /dev/null @@ -1,3 +0,0 @@ -Reference model for inliner -Oz decision policy. -Note that, currently, this model is also referenced by test/Transforms/Inline/ML -tests - if replacing it, check those tests, too. diff --git a/llvm/lib/Analysis/models/inliner/output_spec.json b/llvm/lib/Analysis/models/inliner/output_spec.json deleted file mode 100644 --- a/llvm/lib/Analysis/models/inliner/output_spec.json +++ /dev/null @@ -1,14 +0,0 @@ -[ - { - "logging_name": "inlining_decision", - "tensor_spec": { - "name": "StatefulPartitionedCall", - "port": 0, - "type": "int64_t", - "shape": [ - 1 - ] - } - } -] - \ No newline at end of file diff --git a/llvm/lib/Analysis/models/inliner/saved_model.pbtxt b/llvm/lib/Analysis/models/inliner/saved_model.pbtxt deleted file mode 100644 --- a/llvm/lib/Analysis/models/inliner/saved_model.pbtxt +++ /dev/null @@ -1,32634 +0,0 @@ -saved_model_schema_version: 1 -meta_graphs { - meta_info_def { - stripped_op_list { - op { - name: "Const" - output_arg { - name: 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{ - none_value { - } - } - } - values { - key: "varkw" - value { - none_value { - } - } - } - values { - key: "defaults" - value { - none_value { - } - } - } - values { - key: "kwonlyargs" - value { - list_value { - } - } - } - values { - key: "kwonlydefaults" - value { - none_value { - } - } - } - values { - key: "annotations" - value { - dict_value { - } - } - } - } - } - is_method: true - input_signature { - none_value { - } - } - } - } - } - nodes { - function { - function_spec { - fullargspec { - named_tuple_value { - name: "FullArgSpec" - values { - key: "args" - value { - list_value { - values { - string_value: "self" - } - values { - string_value: "inputs" - } - } - } - } - values { - key: "varargs" - value { - none_value { - } - } - } - values { - key: "varkw" - value { - none_value { - } - } - } - values { - key: "defaults" - value { - none_value { - } - } - } - values { - key: "kwonlyargs" - value { - list_value { - } - } - } - values { - key: "kwonlydefaults" - value { - none_value { - } - } - } - values { - key: "annotations" - value { - dict_value { - } - } - } - } - } - is_method: true - input_signature { - none_value { - } - } - } - } - } - nodes { - function { - function_spec { - fullargspec { - named_tuple_value { - name: "FullArgSpec" - values { - key: "args" - value { - list_value { - values { - string_value: "self" - } - values { - string_value: "inputs" - } - } - } - } - values { - key: "varargs" - value { - none_value { - } - } - } - values { - key: "varkw" - value { - none_value { - } - } - } - values { - key: "defaults" - value { - none_value { - } - } - } - values { - key: "kwonlyargs" - value { - list_value { - } - } - } - values { - key: "kwonlydefaults" - value { - none_value { - } - } - } - values { - key: "annotations" - value { - dict_value { - } - } - } - } - } - is_method: true - input_signature { - none_value { - } - } - } - } - } - nodes { - function { - function_spec { - fullargspec { - named_tuple_value { - name: "FullArgSpec" - values { - key: "args" - value { - list_value { - values { - string_value: "self" - } - values { - string_value: "inputs" - } - } - } - } - values { - key: "varargs" - value { - none_value { - } - } - } - values { - key: "varkw" - value { - none_value { - } - } - } - values { - key: "defaults" - value { - none_value { - } - } - } - values { - key: "kwonlyargs" - value { - list_value { - } - } - } - values { - key: "kwonlydefaults" - value { - none_value { - } - } - } - values { - key: "annotations" - value { - dict_value { - } - } - } - } - } - is_method: true - input_signature { - none_value { - } - } - } - } - } - nodes { - function { - function_spec { - fullargspec { - named_tuple_value { - name: "FullArgSpec" - values { - key: "args" - value { - list_value { - values { - string_value: "self" - } - values { - string_value: "inputs" - } - } - } - } - values { - key: "varargs" - value { - none_value { - } - } - } - values { - key: "varkw" - value { - none_value { - } - } - } - values { - key: "defaults" - value { - none_value { - } - } - } - values { - key: "kwonlyargs" - value { - list_value { - } - } - } - values { - key: "kwonlydefaults" - value { - none_value { - } - } - } - values { - key: "annotations" - value { - dict_value { - } - } - } - } - } - is_method: true - input_signature { - none_value { - } - } - } - } - } - nodes { - function { - function_spec { - fullargspec { - named_tuple_value { - name: "FullArgSpec" - values { - key: "args" - value { - list_value { - values { - string_value: "self" - } - values { - string_value: "inputs" - } - } - } - } - values { - key: "varargs" - value { - none_value { - } - } - } - values { - key: "varkw" - value { - none_value { - } - } - } - values { - key: "defaults" - value { - none_value { - } - } - } - values { - key: "kwonlyargs" - value { - list_value { - } - } - } - values { - key: "kwonlydefaults" - value { - none_value { - } - } - } - values { - key: "annotations" - value { - dict_value { - } - } - } - } - } - is_method: true - input_signature { - none_value { - } - } - } - } - } - concrete_functions { - key: "__inference__728" - value { - bound_inputs: 4 - canonicalized_input_signature { - tuple_value { - values { - tuple_value { - } - } - values { - dict_value { - } - } - } - } - output_signature { - tensor_spec_value { - shape { - } - dtype: DT_INT64 - } - } - } - } - concrete_functions { - key: "__inference_function_722" - value { - canonicalized_input_signature { - tuple_value { - values { - tuple_value { - } - } - values { - dict_value { - } - } - } - } - output_signature { - tuple_value { - } - } - } - } - concrete_functions { - key: "__inference_polymorphic_action_fn_4619080" - value { - bound_inputs: 10 - bound_inputs: 11 - bound_inputs: 12 - bound_inputs: 13 - bound_inputs: 14 - bound_inputs: 15 - canonicalized_input_signature { - tuple_value { - values { - tuple_value { - values { - named_tuple_value { - name: "TimeStep" - values { - key: "step_type" - value { - tensor_spec_value { - name: "time_step/step_type" - shape { - dim { - size: 1 - } - } - dtype: DT_INT32 - } - } - } - values { - key: "reward" - value { - tensor_spec_value { - name: "time_step/reward" - shape { - dim { - size: 1 - } - } - dtype: DT_FLOAT - } - } - } - values { - key: "discount" - value { - tensor_spec_value { - name: "time_step/discount" - shape { - dim { - size: 1 - } - } - dtype: DT_FLOAT - } - } - } - values { - key: "observation" - value { - dict_value { - fields { - key: "callee_basic_block_count" - value { - tensor_spec_value { - name: "time_step/observation/callee_basic_block_count" - shape { - dim { - size: 1 - } - } - dtype: DT_INT64 - } - } - } - fields { - key: "callee_conditionally_executed_blocks" - value { - tensor_spec_value { - name: "time_step/observation/callee_conditionally_executed_blocks" - shape { - dim { - size: 1 - } - } - dtype: DT_INT64 - } - } - } - fields { - key: "callee_users" - value { - tensor_spec_value { - name: "time_step/observation/callee_users" - shape { - dim { - size: 1 - } - } - dtype: DT_INT64 - } - } - } - fields { - key: "caller_basic_block_count" - value { - tensor_spec_value { - name: "time_step/observation/caller_basic_block_count" - shape { - dim { - size: 1 - } - } - dtype: DT_INT64 - } - } - } - fields { - key: "caller_conditionally_executed_blocks" - value { - tensor_spec_value { - name: "time_step/observation/caller_conditionally_executed_blocks" - shape { - dim { - size: 1 - } - } - dtype: DT_INT64 - } - } - } - fields { - key: "caller_users" - value { - tensor_spec_value { - name: "time_step/observation/caller_users" - shape { - dim { - size: 1 - } - } - dtype: DT_INT64 - } - } - } - fields { - key: "callsite_height" - value { - tensor_spec_value { - name: "time_step/observation/callsite_height" - shape { - dim { - size: 1 - } - } - dtype: DT_INT64 - } - } - } - fields { - key: "cost_estimate" - value { - tensor_spec_value { - name: "time_step/observation/cost_estimate" - shape { - dim { - size: 1 - } - } - dtype: DT_INT64 - } - } - } - fields { - key: "edge_count" - value { - tensor_spec_value { - name: "time_step/observation/edge_count" - shape { - dim { - size: 1 - } - } - dtype: DT_INT64 - } - } - } - fields { - key: "inlining_default" - value { - tensor_spec_value { - name: "time_step/observation/inlining_default" - shape { - dim { - size: 1 - } - } - dtype: DT_INT64 - } - } - } - fields { - key: "node_count" - value { - tensor_spec_value { - name: "time_step/observation/node_count" - shape { - dim { - size: 1 - } - } - dtype: DT_INT64 - } - } - } - fields { - key: "nr_ctant_params" - value { - tensor_spec_value { - name: "time_step/observation/nr_ctant_params" - shape { - dim { - size: 1 - } - } - dtype: DT_INT64 - } - } - } - } - } - } - } - } - values { - tuple_value { - } - } - } - } - values { - dict_value { - } - } - } - } - output_signature { - named_tuple_value { - name: "PolicyStep" - values { - key: "action" - value { - tensor_spec_value { - name: "action" - shape { - dim { - size: 1 - } - } - dtype: DT_INT64 - } - } - } - values { - key: "state" - value { - tuple_value { - } - } - } - values { - key: "info" - value { - tuple_value { - } - } - } - } - } - } - } - concrete_functions { - key: "__inference_polymorphic_action_fn_946" - value { - bound_inputs: 10 - bound_inputs: 11 - bound_inputs: 12 - bound_inputs: 13 - bound_inputs: 14 - bound_inputs: 15 - canonicalized_input_signature { - tuple_value { - values { - tuple_value { - values { - named_tuple_value { - name: "TimeStep" - values { - key: "step_type" - value { - tensor_spec_value { - name: "step_type" - shape { - dim { - size: 1 - } - } - dtype: DT_INT32 - } - } - } - values { - key: "reward" - value { - tensor_spec_value { - name: "reward" - shape { - dim { - size: 1 - } - } - dtype: DT_FLOAT - } - } - } - values { - key: "discount" - value { - tensor_spec_value { - name: "discount" - shape { - dim { - size: 1 - } - } - dtype: DT_FLOAT - } - } - } - values { - key: "observation" - value { - dict_value { - fields { - key: "callee_basic_block_count" - value { - tensor_spec_value { - name: "callee_basic_block_count" - shape { - dim { - size: 1 - } - } - dtype: DT_INT64 - } - } - } - fields { - key: "callee_conditionally_executed_blocks" - value { - tensor_spec_value { - name: "callee_conditionally_executed_blocks" - shape { - dim { - size: 1 - } - } - dtype: DT_INT64 - } - } - } - fields { - key: "callee_users" - value { - tensor_spec_value { - name: "callee_users" - shape { - dim { - size: 1 - } - } - dtype: DT_INT64 - } - } - } - fields { - key: "caller_basic_block_count" - value { - tensor_spec_value { - name: "caller_basic_block_count" - shape { - dim { - size: 1 - } - } - dtype: DT_INT64 - } - } - } - fields { - key: "caller_conditionally_executed_blocks" - value { - tensor_spec_value { - name: "caller_conditionally_executed_blocks" - shape { - dim { - size: 1 - } - } - dtype: DT_INT64 - } - } - } - fields { - key: "caller_users" - value { - tensor_spec_value { - name: "caller_users" - shape { - dim { - size: 1 - } - } - dtype: DT_INT64 - } - } - } - fields { - key: "callsite_height" - value { - tensor_spec_value { - name: "callsite_height" - shape { - dim { - size: 1 - } - } - dtype: DT_INT64 - } - } - } - fields { - key: "cost_estimate" - value { - tensor_spec_value { - name: "cost_estimate" - shape { - dim { - size: 1 - } - } - dtype: DT_INT64 - } - } - } - fields { - key: "edge_count" - value { - tensor_spec_value { - name: "edge_count" - shape { - dim { - size: 1 - } - } - dtype: DT_INT64 - } - } - } - fields { - key: "inlining_default" - value { - tensor_spec_value { - name: "inlining_default" - shape { - dim { - size: 1 - } - } - dtype: DT_INT64 - } - } - } - fields { - key: "node_count" - value { - tensor_spec_value { - name: "node_count" - shape { - dim { - size: 1 - } - } - dtype: DT_INT64 - } - } - } - fields { - key: "nr_ctant_params" - value { - tensor_spec_value { - name: "nr_ctant_params" - shape { - dim { - size: 1 - } - } - dtype: DT_INT64 - } - } - } - } - } - } - } - } - values { - tuple_value { - } - } - } - } - values { - dict_value { - } - } - } - } - output_signature { - named_tuple_value { - name: "PolicyStep" - values { - key: "action" - value { - tensor_spec_value { - name: "action" - shape { - dim { - size: 1 - } - } - dtype: DT_INT64 - } - } - } - values { - key: "state" - value { - tuple_value { - } - } - } - values { - key: "info" - value { - tuple_value { - } - } - } - } - } - } - } - concrete_functions { - key: "__inference_signature_wrapper_4619026" - value { - bound_inputs: 10 - bound_inputs: 11 - bound_inputs: 12 - bound_inputs: 13 - bound_inputs: 14 - bound_inputs: 15 - canonicalized_input_signature { - tuple_value { - values { - tuple_value { - } - } - values { - dict_value { - fields { - key: "callee_basic_block_count" - value { - tensor_spec_value { - name: "callee_basic_block_count" - shape { - dim { - size: 1 - } - } - dtype: DT_INT64 - } - } - } - fields { - key: "callee_conditionally_executed_blocks" - value { - tensor_spec_value { - name: "callee_conditionally_executed_blocks" - shape { - dim { - size: 1 - } - } - dtype: DT_INT64 - } - } - } - fields { - key: "callee_users" - value { - tensor_spec_value { - name: "callee_users" - shape { - dim { - size: 1 - } - } - dtype: DT_INT64 - } - } - } - fields { - key: "caller_basic_block_count" - value { - tensor_spec_value { - name: "caller_basic_block_count" - shape { - dim { - size: 1 - } - } - dtype: DT_INT64 - } - } - } - fields { - key: "caller_conditionally_executed_blocks" - value { - tensor_spec_value { - name: "caller_conditionally_executed_blocks" - shape { - dim { - size: 1 - } - } - dtype: DT_INT64 - } - } - } - fields { - key: "caller_users" - value { - tensor_spec_value { - name: "caller_users" - shape { - dim { - size: 1 - } - } - dtype: DT_INT64 - } - } - } - fields { - key: "callsite_height" - value { - tensor_spec_value { - name: "callsite_height" - shape { - dim { - size: 1 - } - } - dtype: DT_INT64 - } - } - } - fields { - key: "cost_estimate" - value { - tensor_spec_value { - name: "cost_estimate" - shape { - dim { - size: 1 - } - } - dtype: DT_INT64 - } - } - } - fields { - key: "discount" - value { - tensor_spec_value { - name: "discount" - shape { - dim { - size: 1 - } - } - dtype: DT_FLOAT - } - } - } - fields { - key: "edge_count" - value { - tensor_spec_value { - name: "edge_count" - shape { - dim { - size: 1 - } - } - dtype: DT_INT64 - } - } - } - fields { - key: "inlining_default" - value { - tensor_spec_value { - name: "inlining_default" - shape { - dim { - size: 1 - } - } - dtype: DT_INT64 - } - } - } - fields { - key: "node_count" - value { - tensor_spec_value { - name: "node_count" - shape { - dim { - size: 1 - } - } - dtype: DT_INT64 - } - } - } - fields { - key: "nr_ctant_params" - value { - tensor_spec_value { - name: "nr_ctant_params" - shape { - dim { - size: 1 - } - } - dtype: DT_INT64 - } - } - } - fields { - key: "reward" - value { - tensor_spec_value { - name: "reward" - shape { - dim { - size: 1 - } - } - dtype: DT_FLOAT - } - } - } - fields { - key: "step_type" - value { - tensor_spec_value { - name: "step_type" - shape { - dim { - size: 1 - } - } - dtype: DT_INT32 - } - } - } - } - } - } - } - output_signature { - dict_value { - fields { - key: "inlining_decision" - value { - tensor_spec_value { - name: "inlining_decision" - shape { - dim { - size: 1 - } - } - dtype: DT_INT64 - } - } - } - } - } - } - } - concrete_functions { - key: "__inference_signature_wrapper_4619033" - value { - canonicalized_input_signature { - tuple_value { - values { - tuple_value { - } - } - values { - dict_value { - } - } - } - } - output_signature { - dict_value { - } - } - } - } - concrete_functions { - key: "__inference_signature_wrapper_4619048" - value { - bound_inputs: 4 - canonicalized_input_signature { - tuple_value { - values { - tuple_value { - } - } - values { - dict_value { - } - } - } - } - output_signature { - dict_value { - fields { - key: "int64" - value { - tensor_spec_value { - name: "int64" - shape { - } - dtype: DT_INT64 - } - } - } - } - } - } - } - } -} - diff --git a/llvm/lib/Analysis/models/inliner/variables/variables.data-00000-of-00001 b/llvm/lib/Analysis/models/inliner/variables/variables.data-00000-of-00001 deleted file mode 100644 index 0000000000000000000000000000000000000000..0000000000000000000000000000000000000000 GIT binary patch literal 0 Hc$@&1 | FileCheck %s --check-prefix=CHECK --check-prefix=NOBOUNDS +; RUN: opt -passes=scc-oz-module-inliner -ml-inliner-ir2native-model=%S/../../../../unittests/Analysis/Inputs/ir2native_x86_64_model -ml-inliner-model-under-training=%t -training-log=- -enable-ml-inliner=development -ml-advisor-size-increase-threshold=10.0 -S < %s 2>&1 | FileCheck %s --check-prefix=CHECK --check-prefix=NOBOUNDS ; ; When the bounds are very restrictive, the first inlining happens but it's ; considered as "bad" (since it trips over the bounds) and its reward is a ; penalty. However, the mandatory inlining, which is considered next, happens. ; No other inlinings happend. -; RUN: opt -passes=scc-oz-module-inliner -ml-inliner-ir2native-model=%S/../../../../unittests/Analysis/Inputs/ir2native_x86_64_model -ml-inliner-model-under-training=%S/../../../../lib/Analysis/models/inliner -training-log=- -enable-ml-inliner=development -ml-advisor-size-increase-threshold=1.0 -S < %s 2>&1 | FileCheck %s --check-prefix=CHECK --check-prefix=BOUNDS +; RUN: opt -passes=scc-oz-module-inliner -ml-inliner-ir2native-model=%S/../../../../unittests/Analysis/Inputs/ir2native_x86_64_model -ml-inliner-model-under-training=%t -training-log=- -enable-ml-inliner=development -ml-advisor-size-increase-threshold=1.0 -S < %s 2>&1 | FileCheck %s --check-prefix=CHECK --check-prefix=BOUNDS ; ; With more restrictive bounds, the first inlining happens and is OK. The ; mandatory inlining happens next, and it trips over the bounds, which then ; forces no further inlinings. -; RUN: opt -passes=scc-oz-module-inliner -ml-inliner-ir2native-model=%S/../../../../unittests/Analysis/Inputs/ir2native_x86_64_model -ml-inliner-model-under-training=%S/../../../../lib/Analysis/models/inliner -training-log=- -enable-ml-inliner=development -ml-advisor-size-increase-threshold=1.1 -S < %s 2>&1 | FileCheck %s --check-prefix=CHECK --check-prefix=RELAXED-BOUNDS +; RUN: opt -passes=scc-oz-module-inliner -ml-inliner-ir2native-model=%S/../../../../unittests/Analysis/Inputs/ir2native_x86_64_model -ml-inliner-model-under-training=%t -training-log=- -enable-ml-inliner=development -ml-advisor-size-increase-threshold=1.1 -S < %s 2>&1 | FileCheck %s --check-prefix=CHECK --check-prefix=RELAXED-BOUNDS target datalayout = "e-m:e-p270:32:32-p271:32:32-p272:64:64-i64:64-f80:128-n8:16:32:64-S128" target triple = "x86_64-grtev4-linux-gnu" @@ -61,4 +65,4 @@ ; it won't be inlined. ; NOBOUNDS-NOT: @may_not_be_inlined ; RELAXED-BOUNDS: call i64 @may_not_be_inlined -; BOUNDS: call i64 @may_not_be_inlined \ No newline at end of file +; BOUNDS: call i64 @may_not_be_inlined diff --git a/llvm/test/Transforms/Inline/ML/development-training-log.ll b/llvm/test/Transforms/Inline/ML/development-training-log.ll --- a/llvm/test/Transforms/Inline/ML/development-training-log.ll +++ b/llvm/test/Transforms/Inline/ML/development-training-log.ll @@ -1,9 +1,13 @@ ; Test that we can produce a log if we have or do not have a model, in development mode. ; REQUIRES: have_tf_api -; RUN: opt -enable-ml-inliner=development -passes=scc-oz-module-inliner -training-log=- -ml-inliner-model-under-training=%S/../../../../lib/Analysis/models/inliner -ml-inliner-ir2native-model=%S/../../../../unittests/Analysis/Inputs/ir2native_x86_64_model -S < %s | FileCheck %s -; RUN: opt -enable-ml-inliner=development -passes=scc-oz-module-inliner -training-log=- -ml-inliner-model-under-training=%S/../../../../lib/Analysis/models/inliner -ml-inliner-ir2native-model=%S/../../../../unittests/Analysis/Inputs/ir2native_x86_64_model -ml-inliner-output-spec-override=%S/Inputs/test_output_spec.json -S < %s | FileCheck %s --check-prefixes=EXTRA-OUTPUTS,CHECK +; Generate mock model +; RUN: rm -rf %t && mkdir %t +; RUN: python3 %S/../../../../lib/Analysis/models/generate_mock_model.py %S/../../../../lib/Analysis/models/inlining/config.py %t +; +; RUN: opt -enable-ml-inliner=development -passes=scc-oz-module-inliner -training-log=- -ml-inliner-model-under-training=%t -ml-inliner-ir2native-model=%S/../../../../unittests/Analysis/Inputs/ir2native_x86_64_model -S < %s | FileCheck %s +; RUN: opt -enable-ml-inliner=development -passes=scc-oz-module-inliner -training-log=- -ml-inliner-model-under-training=%t -ml-inliner-ir2native-model=%S/../../../../unittests/Analysis/Inputs/ir2native_x86_64_model -ml-inliner-output-spec-override=%S/Inputs/test_output_spec.json -S < %s | FileCheck %s --check-prefixes=EXTRA-OUTPUTS,CHECK ; RUN: opt -enable-ml-inliner=development -passes=scc-oz-module-inliner -training-log=- -ml-inliner-ir2native-model=%S/../../../../unittests/Analysis/Inputs/ir2native_x86_64_model -S < %s | FileCheck %s -; RUN: opt -enable-ml-inliner=development -passes=scc-oz-module-inliner -training-log=- -ml-inliner-model-under-training=%S/../../../../lib/Analysis/models/inliner -S < %s | FileCheck %s --check-prefix=NOREWARD +; RUN: opt -enable-ml-inliner=development -passes=scc-oz-module-inliner -training-log=- -ml-inliner-model-under-training=%t -S < %s | FileCheck %s --check-prefix=NOREWARD ; RUN: opt -enable-ml-inliner=development -passes=scc-oz-module-inliner -training-log=- -S < %s | FileCheck %s --check-prefix=NOREWARD target datalayout = "e-m:e-i64:64-f80:128-n8:16:32:64-S128" @@ -44,7 +48,7 @@ ; Check we produce a protobuf that has inlining decisions and rewards. ; CHECK-NOT: fake_extra_output ; EXTRA-OUTPUTS: key: "fake_extra_output" value: { -; EXTRA-OUTPUTS-NEXT: feature: { int64_list: { value: [1] } } +; EXTRA-OUTPUTS-NEXT: feature: { int64_list: { value: [{{[0-9]+}}] } } ; CHECK: key: "inlining_decision" value: { ; CHECK-NEXT: feature: { int64_list: { value: [1] } } ; CHECK: key: "delta_size" value: { diff --git a/llvm/test/Transforms/Inline/ML/ml-test-development-mode.ll b/llvm/test/Transforms/Inline/ML/ml-test-development-mode.ll --- a/llvm/test/Transforms/Inline/ML/ml-test-development-mode.ll +++ b/llvm/test/Transforms/Inline/ML/ml-test-development-mode.ll @@ -6,5 +6,7 @@ ; for the 'release' mode. ; ; REQUIRES: have_tf_api +; RUN: rm -rf %t && mkdir %t +; RUN: python3 %S/../../../../lib/Analysis/models/generate_mock_model.py %S/../../../../lib/Analysis/models/inlining/config.py %t ; RUN: opt -passes=scc-oz-module-inliner -enable-ml-inliner=default -S < %S/Inputs/test-module.ll 2>&1 | FileCheck %S/Inputs/test-module.ll --check-prefix=DEFAULT -; RUN: opt -passes=scc-oz-module-inliner -enable-ml-inliner=development -ml-inliner-model-under-training=%S/../../../../lib/Analysis/models/inliner -S < %S/Inputs/test-module.ll 2>&1 | FileCheck %S/Inputs/test-module.ll --check-prefix=CHECK +; RUN: opt -passes=scc-oz-module-inliner -enable-ml-inliner=development -ml-inliner-model-under-training=%t -S < %S/Inputs/test-module.ll 2>&1 | FileCheck %S/Inputs/test-module.ll --check-prefix=CHECK