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This makes the OpenGL entry points loaded at Adapter creation from the getProcAddress passed in the DiscoveryOptions and update all GL calls in the backend to go through the new OpenGLFunctions object. A code generator is added that generates the function loader and list of GL procs from Khronos' gl.xml file but we can't get rid of glad yet because it is used to have the PROC typedefs and enum values. BUG=dawn:165 Change-Id: I2a583d79752f55877fa4190846f5be16cf91651a Reviewed-on: https://dawn-review.googlesource.com/c/dawn/+/7983 Commit-Queue: Corentin Wallez <cwallez@chromium.org> Reviewed-by: Austin Eng <enga@chromium.org>
162 lines
5.1 KiB
Plaintext
162 lines
5.1 KiB
Plaintext
# Copyright 2019 The Dawn Authors
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import("../scripts/dawn_overrides_with_defaults.gni")
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# Template to help invoking Dawn code generators based on generator_lib
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#
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# dawn_generator("my_target_gen") {
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# # The script and generator specific arguments
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# script = [ "my_awesome_generator.py" ]
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# args = [
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# "--be-awesome",
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# "yes"
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# ]
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#
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# # The list of expected outputs, generation fails if there's a mismatch
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# outputs = [
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# "MyAwesomeTarget.cpp",
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# "MyAwesomeTarget.h",
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# ]
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#
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# # Optional, use a custom generated file directory.
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# custom_gen_dir = "${target_gen_dir}/.."
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# }
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#
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# Using the generated files is done like so:
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#
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# shared_library("my_target") {
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# deps = [ ":my_target_gen "]
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# sources = get_target_outputs(":my_target_gen")
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# }
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#
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template("dawn_generator") {
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generator_args = []
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if (defined(invoker.args)) {
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generator_args += invoker.args
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}
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generator_args += [
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"--template-dir",
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rebase_path("${dawn_root}/generator/templates", root_build_dir),
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]
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# Use the Jinja2 version pulled from the DEPS file. We do it so we don't
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# have version problems, and users don't have to install Jinja2.
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jinja2_python_path = rebase_path("${dawn_jinja2_dir}/..")
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generator_args += [
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"--extra-python-path",
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jinja2_python_path,
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]
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# Chooses either the default gen_dir or the custom one required by the
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# invoker. This allows moving the definition of code generators in different
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# BUILD.gn files without changing the location of generated file. Without
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# this generated headers could cause issues when old headers aren't removed.
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gen_dir = target_gen_dir
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if (defined(invoker.custom_gen_dir)) {
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gen_dir = invoker.custom_gen_dir
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}
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# For build parallelism GN wants to know the exact inputs and outputs of
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# action targets like we use for our code generator. We avoid asking the
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# generator about its inputs by using the "depfile" feature of GN/Ninja.
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#
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# A ninja limitation is that the depfile is a subset of Makefile that can
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# contain a single target, so we output a single "JSON-tarball" instead.
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json_tarball = "${gen_dir}/${target_name}.json_tarball"
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json_tarball_depfile = "${json_tarball}.d"
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generator_args += [
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"--output-json-tarball",
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rebase_path(json_tarball, root_build_dir),
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"--depfile",
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rebase_path(json_tarball_depfile, root_build_dir),
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]
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# After the JSON tarball is created we need an action target to extract it
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# with a list of its outputs. The invoker provided a list of expected
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# outputs. To make sure the list is in sync between the generator and the
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# build files, we write it to a file and ask the generator to assert it is
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# correct.
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expected_outputs_file = "${gen_dir}/${target_name}.expected_outputs"
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write_file(expected_outputs_file, invoker.outputs)
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generator_args += [
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"--expected-outputs-file",
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rebase_path(expected_outputs_file, root_build_dir),
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]
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# The code generator invocation that will write the JSON tarball, check the
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# outputs are what's expected and write a depfile for Ninja.
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action("${target_name}_json_tarball") {
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script = invoker.script
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outputs = [
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json_tarball,
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]
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depfile = json_tarball_depfile
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args = generator_args
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}
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# Extract the JSON tarball into the gen_dir
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action(target_name) {
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script = "${dawn_root}/generator/extract_json.py"
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args = [
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rebase_path(json_tarball, root_build_dir),
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rebase_path(gen_dir, root_build_dir),
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]
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deps = [
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":${target_name}_json_tarball",
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]
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inputs = [
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json_tarball,
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]
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# The expected output list is relative to the gen_dir but action
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# target outputs are from the root dir so we need to rebase them.
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outputs = []
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foreach(source, invoker.outputs) {
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outputs += [ "${gen_dir}/${source}" ]
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}
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}
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}
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# Helper generator for calling the generator from dawn.json
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#
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# dawn_json_generator("my_target_gen") {
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# # Which generator target to output
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# target = "my_target"
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#
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# # Also supports `outputs` and `custom_gen_dir` like dawn_generator.
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# }
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template("dawn_json_generator") {
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dawn_generator(target_name) {
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script = "${dawn_root}/generator/dawn_json_generator.py"
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# The base arguments for the generator: from this dawn.json, generate this
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# target using templates in this directory.
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args = [
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"--dawn-json",
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rebase_path("${dawn_root}/dawn.json", root_build_dir),
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"--wire-json",
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rebase_path("${dawn_root}/dawn_wire.json", root_build_dir),
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"--targets",
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invoker.target,
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]
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forward_variables_from(invoker, "*", [ "target" ])
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}
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}
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