168 lines
6.5 KiB
Diff
168 lines
6.5 KiB
Diff
This patch fixes some scripts for generating source files. For
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gen_jit_decompositions.py, gen_mobile_upgraders.py and
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gen_jit_shape_functions.py, which depend on the compiled PyTorch library, the
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option to generate "dummy" source files is added for the initial build, which
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is later corrected. codegen_external.py is patched to avoid duplicate
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functions and add the static keyword as in the existing generated file.
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diff --git a/tools/gen_flatbuffers.sh b/tools/gen_flatbuffers.sh
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index cc0263dbbf..ac34e84b82 100644
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--- a/tools/gen_flatbuffers.sh
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+++ b/tools/gen_flatbuffers.sh
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@@ -1,13 +1,13 @@
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#!/bin/bash
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ROOT=$(pwd)
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-FF_LOCATION="$ROOT/third_party/flatbuffers"
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-cd "$FF_LOCATION" || exit
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-mkdir build
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-cd build || exit
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-cmake ..
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-cmake --build . --target flatc
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-mkdir -p "$ROOT/build/torch/csrc/jit/serialization"
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-./flatc --cpp --gen-mutable --scoped-enums \
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+#FF_LOCATION="$ROOT/third_party/flatbuffers"
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+#cd "$FF_LOCATION" || exit
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+#mkdir build
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+#cd build || exit
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+#cmake ..
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+#cmake --build . --target flatc
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+#mkdir -p "$ROOT/build/torch/csrc/jit/serialization"
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+flatc --cpp --gen-mutable --scoped-enums \
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-o "$ROOT/torch/csrc/jit/serialization" \
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-c "$ROOT/torch/csrc/jit/serialization/mobile_bytecode.fbs"
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echo '// @generated' >> "$ROOT/torch/csrc/jit/serialization/mobile_bytecode_generated.h"
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diff --git a/torch/csrc/jit/tensorexpr/codegen_external.py b/torch/csrc/jit/tensorexpr/codegen_external.py
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index bc69b05162..0f8df81de3 100644
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--- a/torch/csrc/jit/tensorexpr/codegen_external.py
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+++ b/torch/csrc/jit/tensorexpr/codegen_external.py
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@@ -20,9 +20,14 @@ def gen_external(native_functions_path, tags_path, external_path):
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native_functions = parse_native_yaml(native_functions_path, tags_path)
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func_decls = []
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func_registrations = []
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- for func in native_functions:
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+ done_names = set()
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+ for func in native_functions[0]:
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schema = func.func
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name = schema.name.name.base
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+ if name in done_names:
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+ continue
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+ else:
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+ done_names.add(name)
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args = schema.arguments
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# Only supports extern calls for functions with out variants
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if not schema.is_out_fn():
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@@ -62,7 +67,7 @@ def gen_external(native_functions_path, tags_path, external_path):
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# print(tensor_decls, name, arg_names)
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func_decl = f"""\
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-void nnc_aten_{name}(
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+static void nnc_aten_{name}(
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int64_t bufs_num,
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void** buf_data,
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int64_t* buf_ranks,
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diff --git a/torchgen/decompositions/gen_jit_decompositions.py b/torchgen/decompositions/gen_jit_decompositions.py
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index 7cfbb803f9..2e69bb1868 100644
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--- a/torchgen/decompositions/gen_jit_decompositions.py
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+++ b/torchgen/decompositions/gen_jit_decompositions.py
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@@ -1,8 +1,12 @@
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#!/usr/bin/env python3
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import os
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from pathlib import Path
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+import sys
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-from torch.jit._decompositions import decomposition_table
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+if len(sys.argv) < 2 or sys.argv[1] != "dummy":
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+ from torch.jit._decompositions import decomposition_table
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+else:
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+ decomposition_table = {}
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# from torchgen.code_template import CodeTemplate
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@@ -85,7 +89,7 @@ def write_decomposition_util_file(path: str) -> None:
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def main() -> None:
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- pytorch_dir = Path(__file__).resolve().parents[3]
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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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diff --git a/torchgen/operator_versions/gen_mobile_upgraders.py b/torchgen/operator_versions/gen_mobile_upgraders.py
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index dab1568580..55c58715fc 100644
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--- a/torchgen/operator_versions/gen_mobile_upgraders.py
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+++ b/torchgen/operator_versions/gen_mobile_upgraders.py
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@@ -2,10 +2,12 @@
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import os
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from enum import Enum
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from pathlib import Path
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+import sys
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from typing import Any, Dict, List
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-import torch
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-from torch.jit.generate_bytecode import generate_upgraders_bytecode
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+if len(sys.argv) < 2 or sys.argv[1] != "dummy":
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+ import torch
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+ from torch.jit.generate_bytecode import generate_upgraders_bytecode
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from torchgen.code_template import CodeTemplate
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from torchgen.operator_versions.gen_mobile_upgraders_constant import (
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@@ -262,7 +264,10 @@ def construct_register_size(register_size_from_yaml: int) -> str:
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def construct_version_maps(
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upgrader_bytecode_function_to_index_map: Dict[str, Any]
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) -> str:
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- version_map = torch._C._get_operator_version_map()
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+ if len(sys.argv) < 2 or sys.argv[1] != "dummy":
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+ version_map = torch._C._get_operator_version_map()
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+ else:
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+ version_map = {}
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sorted_version_map_ = sorted(version_map.items(), key=lambda item: item[0]) # type: ignore[no-any-return]
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sorted_version_map = dict(sorted_version_map_)
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@@ -378,7 +383,10 @@ def sort_upgrader(upgrader_list: List[Dict[str, Any]]) -> List[Dict[str, Any]]:
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def main() -> None:
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- upgrader_list = generate_upgraders_bytecode()
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+ if len(sys.argv) < 2 or sys.argv[1] != "dummy":
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+ upgrader_list = generate_upgraders_bytecode()
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+ else:
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+ upgrader_list = []
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sorted_upgrader_list = sort_upgrader(upgrader_list)
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for up in sorted_upgrader_list:
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print("after sort upgrader : ", next(iter(up)))
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diff --git a/torchgen/shape_functions/gen_jit_shape_functions.py b/torchgen/shape_functions/gen_jit_shape_functions.py
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index c6336a6951..34e394d818 100644
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--- a/torchgen/shape_functions/gen_jit_shape_functions.py
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+++ b/torchgen/shape_functions/gen_jit_shape_functions.py
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@@ -18,16 +18,20 @@ you are in the root directory of the Pytorch git repo"""
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if not file_path.exists():
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raise Exception(err_msg)
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-spec = importlib.util.spec_from_file_location(module_name, file_path)
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-assert spec is not None
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-module = importlib.util.module_from_spec(spec)
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-sys.modules[module_name] = module
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-assert spec.loader is not None
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-assert module is not None
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-spec.loader.exec_module(module)
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-
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-bounded_compute_graph_mapping = module.bounded_compute_graph_mapping
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-shape_compute_graph_mapping = module.shape_compute_graph_mapping
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+if len(sys.argv) < 2 or sys.argv[1] != "dummy":
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+ spec = importlib.util.spec_from_file_location(module_name, file_path)
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+ assert spec is not None
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+ module = importlib.util.module_from_spec(spec)
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+ sys.modules[module_name] = module
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+ assert spec.loader is not None
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+ assert module is not None
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+ spec.loader.exec_module(module)
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+
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+ bounded_compute_graph_mapping = module.bounded_compute_graph_mapping
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+ shape_compute_graph_mapping = module.shape_compute_graph_mapping
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+else:
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+ bounded_compute_graph_mapping = {}
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+ shape_compute_graph_mapping = {}
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SHAPE_HEADER = r"""
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