rules_cc/cc/common/cc_debug_helper.bzl

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# Copyright 2024 The Bazel Authors. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""Utilities for creating cc debug package information outputs"""
load("//cc:find_cc_toolchain.bzl", "CC_TOOLCHAIN_TYPE")
load(":cc_helper.bzl", "linker_mode")
load(":visibility.bzl", "INTERNAL_VISIBILITY")
visibility(INTERNAL_VISIBILITY)
def create_debug_packager_actions(
ctx,
cc_toolchain,
dwp_output,
*,
cc_compilation_outputs,
cc_debug_context,
linking_mode,
use_pic = True,
lto_artifacts = []):
"""Creates intermediate and final dwp creation action(s)
Args:
ctx: (RuleContext) the rule context
cc_toolchain: (CcToolchainInfo) the cc toolchain
dwp_output: (File) the output of the final dwp action
cc_compilation_outputs: (CcCompilationOutputs)
cc_debug_context: (DebugContext)
linking_mode: (str) See cc_helper.bzl%linker_mode
use_pic: (bool)
lto_artifacts: ([CcLtoBackendArtifacts])
"""
dwo_files = _collect_transitive_dwo_artifacts(
cc_compilation_outputs,
cc_debug_context,
linking_mode,
use_pic,
lto_artifacts,
)
# No inputs? Just generate a trivially empty .dwp.
#
# Note this condition automatically triggers for any build where fission is disabled.
# Because rules referencing .dwp targets may be invoked with or without fission, we need
# to support .dwp generation even when fission is disabled. Since no actual functionality
# is expected then, an empty file is appropriate.
dwo_files_list = dwo_files.to_list()
if len(dwo_files_list) == 0:
ctx.actions.write(dwp_output, "", False)
return
# We apply a hierarchical action structure to limit the maximum number of inputs to any
# single action.
#
# While the dwp tool consumes .dwo files, it can also consume intermediate .dwp files,
# allowing us to split a large input set into smaller batches of arbitrary size and order.
# Aside from the parallelism performance benefits this offers, this also reduces input
# size requirements: if a.dwo, b.dwo, c.dwo, and e.dwo are each 1 KB files, we can apply
# two intermediate actions DWP(a.dwo, b.dwo) --> i1.dwp and DWP(c.dwo, e.dwo) --> i2.dwp.
# When we then apply the final action DWP(i1.dwp, i2.dwp) --> finalOutput.dwp, the inputs
# to this action will usually total far less than 4 KB.
#
# The actions form an n-ary tree with n == MAX_INPUTS_PER_DWP_ACTION. The tree is fuller
# at the leaves than the root, but that both increases parallelism and reduces the final
# action's input size.
packager = _create_intermediate_dwp_packagers(ctx, dwp_output, cc_toolchain, cc_toolchain._dwp_files, dwo_files_list, 1)
packager["outputs"].append(dwp_output)
packager["arguments"].add("-o", dwp_output)
ctx.actions.run(
mnemonic = "CcGenerateDwp",
tools = packager["tools"],
executable = packager["executable"],
toolchain = CC_TOOLCHAIN_TYPE,
arguments = [packager["arguments"]],
inputs = packager["inputs"],
outputs = packager["outputs"],
)
def _collect_transitive_dwo_artifacts(cc_compilation_outputs, cc_debug_context, linking_mode, use_pic, lto_backend_artifacts):
dwo_files = []
transitive_dwo_files = depset()
if use_pic:
dwo_files.extend(cc_compilation_outputs.pic_dwo_files())
else:
dwo_files.extend(cc_compilation_outputs.dwo_files())
if lto_backend_artifacts != None:
for lto_backend_artifact in lto_backend_artifacts:
if lto_backend_artifact.dwo_file() != None:
dwo_files.append(lto_backend_artifact.dwo_file())
if linking_mode != linker_mode.LINKING_DYNAMIC:
if use_pic:
transitive_dwo_files = cc_debug_context.pic_files
else:
transitive_dwo_files = cc_debug_context.files
return depset(dwo_files, transitive = [transitive_dwo_files])
def _get_intermediate_dwp_file(ctx, dwp_output, order_number):
output_path = dwp_output.short_path
# Since it is a dwp_output we can assume that it always
# ends with .dwp suffix, because it is declared so in outputs
# attribute.
extension_stripped_output_path = output_path[0:len(output_path) - 4]
intermediate_path = extension_stripped_output_path + "-" + str(order_number) + ".dwp"
return ctx.actions.declare_file("_dwps/" + intermediate_path)
def _create_intermediate_dwp_packagers(ctx, dwp_output, cc_toolchain, dwp_files, dwo_files, intermediate_dwp_count):
intermediate_outputs = dwo_files
# This long loop is a substitution for recursion, which is not currently supported in Starlark.
for _ in range(2147483647):
packagers = []
current_packager = _new_dwp_action(ctx, cc_toolchain, dwp_files)
inputs_for_current_packager = 0
# Step 1: generate our batches. We currently break into arbitrary batches of fixed maximum
# input counts, but we can always apply more intelligent heuristics if the need arises.
for dwo_file in intermediate_outputs:
if inputs_for_current_packager == 100:
packagers.append(current_packager)
current_packager = _new_dwp_action(ctx, cc_toolchain, dwp_files)
inputs_for_current_packager = 0
current_packager["inputs"].append(dwo_file)
# add_all expands all directories to their contained files, see
# https://bazel.build/rules/lib/builtins/Args#add_all. add doesn't
# do that, so using add_all on the one-item list here allows us to
# find dwo files in directories.
current_packager["arguments"].add_all([dwo_file])
inputs_for_current_packager += 1
packagers.append(current_packager)
# Step 2: given the batches, create the actions.
if len(packagers) > 1:
# If we have multiple batches, make them all intermediate actions, then pipe their outputs
# into an additional level.
intermediate_outputs = []
for packager in packagers:
intermediate_output = _get_intermediate_dwp_file(ctx, dwp_output, intermediate_dwp_count)
intermediate_dwp_count += 1
packager["outputs"].append(intermediate_output)
packager["arguments"].add("-o", intermediate_output)
ctx.actions.run(
mnemonic = "CcGenerateIntermediateDwp",
tools = packager["tools"],
executable = packager["executable"],
toolchain = CC_TOOLCHAIN_TYPE,
arguments = [packager["arguments"]],
inputs = packager["inputs"],
outputs = packager["outputs"],
)
intermediate_outputs.append(intermediate_output)
else:
return packagers[0]
# This is to fix buildifier errors, even though we should never reach this part of the code.
return None
def _new_dwp_action(ctx, cc_toolchain, dwp_tools):
return {
"arguments": ctx.actions.args(),
"executable": cc_toolchain._tool_paths.get("dwp", None),
"inputs": [],
"outputs": [],
"tools": dwp_tools,
}