mirror of
https://github.com/pytorch/pytorch.git
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Pull Request resolved: https://github.com/pytorch/pytorch/pull/76703 Approved by: https://github.com/eellison
124 lines
3.3 KiB
Python
124 lines
3.3 KiB
Python
#!/usr/bin/env python3
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import os
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from pathlib import Path
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from torch.jit._shape_functions import shape_compute_graph_mapping
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SHAPE_HEADER = r"""
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/**
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* @generated
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* This is an auto-generated file. Please do not modify it by hand.
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* To re-generate, please run:
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* cd ~/pytorch && python
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* torchgen/shape_functions/gen_jit_shape_functions.py
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*/
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#include <torch/csrc/jit/jit_log.h>
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#include <torch/csrc/jit/passes/inliner.h>
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#include <torch/csrc/jit/runtime/serialized_shape_function_registry.h>
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#include <torch/csrc/jit/runtime/operator.h>
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// clang-format off
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namespace torch {
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namespace jit {
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std::string shape_funcs = ""
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"""
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DECOMP_CENTER = r"""
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const std::string& GetSerializedShapeFunctions() {
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return shape_funcs;
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}
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const OperatorMap<std::string>& GetShapeFunctionMappings() {
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static const OperatorMap<std::string> shape_mappings {
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"""
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DECOMP_END = r"""
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};
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return shape_mappings;
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}
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// clang-format on
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} // namespace jit
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} // namespace torch
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"""
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SERIALIZED_SHAPE_UTIL_FILE_NAME = "serialized_shape_function_registry.cpp"
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def gen_serialized_decompisitions() -> str:
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already_serialized_names = set()
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unique_funcs = []
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for scripted_func in shape_compute_graph_mapping.values():
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if scripted_func.name in already_serialized_names:
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continue
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already_serialized_names.add(scripted_func.name)
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unique_funcs.append(scripted_func)
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output_strs = []
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curr_str = ""
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for scripted_func in unique_funcs:
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serialized_code = scripted_func.code
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# technically its higher but give a buffer bc there are weird rules
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# around some characters
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# TODO: this was the limit I found by googling but it seems way
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# too short ?
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MAX_MSFT_STR_LEN = 2000
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if len(curr_str) + len(serialized_code) <= MAX_MSFT_STR_LEN:
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curr_str += "\n" + serialized_code
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else:
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output_strs.append(curr_str)
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curr_str = scripted_func.code
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output_strs.append(curr_str)
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final_output = ""
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# Windows compiler doesnt correctly handle adjacent
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# string literals
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for output_str in output_strs:
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start = '+ std::string(R"=====('
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end = '\n)=====")\n'
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final_output += start + output_str + end
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final_output += ";"
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return final_output
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def gen_shape_mappings() -> str:
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shape_mappings = []
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for schema, scripted_func in shape_compute_graph_mapping.items():
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shape_mappings.append(' {"' + schema + '", "' + scripted_func.name + '"},')
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return "\n".join(shape_mappings)
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def write_decomposition_util_file(path: str) -> None:
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decomposition_str = gen_serialized_decompisitions()
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shape_mappings = gen_shape_mappings()
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file_components = [
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SHAPE_HEADER,
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decomposition_str,
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DECOMP_CENTER,
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shape_mappings,
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DECOMP_END,
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]
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print("writing file to : ", path + "/" + SERIALIZED_SHAPE_UTIL_FILE_NAME)
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with open(os.path.join(path, SERIALIZED_SHAPE_UTIL_FILE_NAME), "wb") as out_file:
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final_output = "".join(file_components)
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out_file.write(final_output.encode("utf-8"))
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def main() -> None:
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pytorch_dir = Path(__file__).resolve().parents[2]
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upgrader_path = pytorch_dir / "torch" / "csrc" / "jit" / "runtime"
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write_decomposition_util_file(str(upgrader_path))
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if __name__ == "__main__":
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main()
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