Tweak the primary flutter build rule so that fuchsia is more similar to
other platforms in how tests and the shell are built.
Only embedder_unittests and GLFW tests are disabled on Fuchsia now.
TEST: Ran unittests on host/fuchsia; workstation on fuchsia
BUG: fxb/53847, fxb/54056
Additionally create "_next" permutations for all of the test binaries
on Fuchsia, in order to test both code-paths.
Using the #define follow-up CLs can also create a flutter_runner_next
binary that does not contain any legacy integration code.
BUG: 53847
Desktop embedding dependencies can trigger gn-generation-time
requiremenets; e.g., the Linux embeddings have pkg-config dependencies.
This can be problematic in some build environments, such as building
flutter_engine.so with a custom sysroot where those higher-level
dependencies aren't available.
This flag allows generating build files that don't have those
dependencies.
The JSON codec is awkward to use in the wrapper (since the client has to build and link one of the JSON libraries to do so). Since it would be very cumbersome to wrap in a C API, and there's essentially no reason to use it instead of the standard codec, this removes it from the wrapper entirely.
Since some system channels (internal to the engine) still use it, it's moved into common/cpp instead of being eliminated entirely. Internally we always use RapidJSON though, so the jsoncpp implementation is removed. Also adds some unit test coverage, since there wasn't any.
Fixes#30669
Currently every Linux runner has this code to allow relative resource paths; this moves it into the framework so that any embedder can get this behavior without that code needing to be in the template.
Rolls buildroot to pick up std::filesystem support in our libc++
No change in behavior expected. We have 2 frames in flight as before. By switching to Present2 and specifying a kMaxFramesInFlight however, we allow us greater flexibility to change how Flutter schedules its frames.
This change also adds tests for SessionConnection and VsyncRecorder.
This was only necessary when the Engine had to build in multiple buildroots
where the sources where checked out at different paths relative to the
buildroot. This is no longer the case and there are already cases GN rules
have been written that mix and match variable usage with the direct
specification of the path to the Flutter sources relative to the sole buildroot.
- Copies fuchsia_test.sh into the testing/fuchsia directory
- Fixes a small issue with fuchsia_archive to ensure the cmx file is correctly named according to the target
- Add a list of fuchsia unittest fars to run on CI
- Add a GN build target to build all currently-enabled unittests for Fuchsia
* Revert "Add flow test fixtures and tests (#13986)"
This reverts commit 620f5281b819f304e8e9e945222e26b17b087cc3.
* Revert "Dynamically determine whether to use offscreen surface based on need (#13976)"
This reverts commit a86ef946563b020108320bbfb974bf7343284fd3.
`//flutter/testing` now contains a lot of utilities used by other test targets.
This includes stuff like working with render targets that use either OpenGL or
Metal, fixtures for interacting with the Dart VM, test assertion predicates,
etc.. However, these utilities themselves are not tested as part of a standalone
test suite. Instead, only the test targets that include it exercise these
utilities. Since these are no longer trivial, a new test target has been added
that tests the testing utilities directly.
Also creates a new test harness for the desktop embedder framework target and adds a test that launches a headless engine in this new thread configuration.
Fixes https://github.com/flutter/flutter/issues/17579
* [dart_aot_runner] Complete the port of dart_aot_runner
- also adds the previously missing profiler symbols for dart_jit_runner
- CIPD package will contain both the JIT and AOT dart runners
* specify the inputs
* Roll dart to aece1c1e92.
Changes since last roll:
```
aece1c1e92 Update compile_flutter.sh after vm -> frontend_server rename
9293e26fc9 [gardening] Fix flutter hhh patch.
13fbf569f6 [flutter] split frontend_server from vm package
a389015083 Rewrite MethodInvocation to FunctionExpressionInvocation when the target is not a method.
ae251757a9 [vm,aot,bytecode] Performance fixes
01ebf92dde [VM] Consume extension member/is late flag setting when reading kernel file.
8e05cd278c [vm, bytecode] Emit bytecode without ASTs by default.
4539536b34 [eventhandler] generalize socket initialization
7115687beb NNBD i13n: Add a description for discarding just the condition
2bcaf02582 (origin/base) Update dartdoc to 0.28.7.
a0e8c7712d [dart2js] New RTI: Prevent elision of precomputed1 and remove unneeded read.
c38e19cbbe [vm/compiler] bit utilities
f918214f36 Add a unit test reproducing issue #38352.
ad47b1ca64 Remove summary1, part 2.
0881a4a691 Reland "Deprecate TypeParameterTypeImpl.getTypes()"
d93a6b596b Prepare to publish analyzer version 0.38.5
d5feab0c53 [vm] Create builds for LeakSanitizer, MemorySanitizer and ThreadSanitizer.
8c5236f55e [vm/ffi] Fix host-target word mismatch breaking AOT callbacks in ARM_X64.
5f7b837195 Remove unused FunctionElementImpl_forLUB.
2c75771611 Write and read the static type of IntegerLiteral.
b00453c68a Create synthetic FunctionType in quick fixes.
897e197dd4 Flow analysis: Update AssignedVariablesVisitor to track functions/methods.
55466fd3cc Flow analysis: Remove AssignedVariables.capturedAnywhere.
0a5cf36f14 Make exitFunctionBody safer.
```
* Update license hash
Start work on flutter/flutter#30726 by adding an alternative win32 shell platform implementation for Windows that is not based on GLFW and that uses LIBANGLE for rendering and native win32 windowing and input. This change does not replace the GLFW implementation but rather runs side by side with it producing a secondary flutter_windows_win32.dll artifact. The following items must be added to attain parity with the GLFW implementation:
- Custom task scheduling
- Support for keyboard modifier keys
- Async texture uploads
- Correct high DPI handling on Windows versions < 1703
and will be added in subsequent changes.
This patch reworks image decompression and collection in the following ways
because of misbehavior in the described edge cases.
The current flow for realizing a texture on the GPU from a blob of compressed
bytes is to first pass it to the IO thread for image decompression and then
upload to the GPU. The handle to the texture on the GPU is then passed back to
the UI thread so that it can be included in subsequent layer trees for
rendering. The GPU contexts on the Render & IO threads are in the same
sharegroup so the texture ends up being visible to the Render Thread context
during rendering. This works fine and does not block the UI thread. All
references to the image are owned on UI thread by Dart objects. When the final
reference to the image is dropped, the texture cannot be collected on the UI
thread (because it has not GPU context). Instead, it must be passed to either
the GPU or IO threads. The GPU thread is usually in the middle of a frame
workload so we redirect the same to the IO thread for eventual collection. While
texture collections are usually (comparatively) fast, texture decompression and
upload are slow (order of magnitude of frame intervals).
For application that end up creating (by not necessarily using) numerous large
textures in straight-line execution, it could be the case that texture
collection tasks are pending on the IO task runner after all the image
decompressions (and upload) are done. Put simply, the collection of the first
image could be waiting for the decompression and upload of the last image in the
queue.
This is exacerbated by two other hacks added to workaround unrelated issues.
* First, creating a codec with a single image frame immediately kicks of
decompression and upload of that frame image (even if the frame was never
request from the codec). This hack was added because we wanted to get rid of
the compressed image allocation ASAP. The expectation was codecs would only be
created with the sole purpose of getting the decompressed image bytes.
However, for applications that only create codecs to get image sizes (but
never actually decompress the same), we would end up replacing the compressed
image allocation with a larger allocation (device resident no less) for no
obvious use. This issue is particularly insidious when you consider that the
codec is usually asked for the native image size first before the frame is
requested at a smaller size (usually using a new codec with same data but new
targetsize). This would cause the creation of a whole extra texture (at 1:1)
when the caller was trying to “optimize” for memory use by requesting a
texture of a smaller size.
* Second, all image collections we delayed in by the unref queue by 250ms
because of observations that the calling thread (the UI thread) was being
descheduled unnecessarily when a task with a timeout of zero was posted from
the same (recall that a task has to be posted to the IO thread for the
collection of that texture). 250ms is multiple frame intervals worth of
potentially unnecessary textures.
The net result of these issues is that we may end up creating textures when all
that the application needs is to ask it’s codec for details about the same (but
not necessarily access its bytes). Texture collection could also be delayed
behind other jobs to decompress the textures on the IO thread. Also, all texture
collections are delayed for an arbitrary amount of time.
These issues cause applications to be susceptible to OOM situations. These
situations manifest in various ways. Host memory exhaustion causes the usual OOM
issues. Device memory exhaustion seems to manifest in different ways on iOS and
Android. On Android, allocation of a new texture seems to be causing an
assertion (in the driver). On iOS, the call hangs (presumably waiting for
another thread to release textures which we won’t do because those tasks are
blocked behind the current task completing).
To address peak memory usage, the following changes have been made:
* Image decompression and upload/collection no longer happen on the same thread.
All image decompression will now be handled on a workqueue. The number of
worker threads in this workqueue is equal to the number of processors on the
device. These threads have a lower priority that either the UI or Render
threads. These workers are shared between all Flutter applications in the
process.
* Both the images and their codec now report the correct allocation size to Dart
for GC purposes. The Dart VM uses this to pick objects for collection. Earlier
the image allocation was assumed to 32bpp with no mipmapping overhead
reported. Now, the correct image size is reported and the mipmapping overhead
is accounted for. Image codec sizes were not reported to the VM earlier and
now are. Expect “External” VM allocations to be higher than previously
reported and the numbers in Observatory to line up more closely with actual
memory usage (device and host).
* Decoding images to a specific size used to decode to 1:1 before performing a
resize to the correct dimensions before texture upload. This has now been
reworked so that images are first decompressed to a smaller size supported
natively by the codec before final resizing to the requested target size. The
intermediate copy is now smaller and more promptly collected. Resizing also
happens on the workqueue worker.
* The drain interval of the unref queue is now sub-frame-interval. I am hesitant
to remove the delay entirely because I have not been able to instrument the
performance overhead of the same. That is next on my list. But now, multiple
frame intervals worth of textures no longer stick around.
The following issues have been addressed:
* https://github.com/flutter/flutter/issues/34070 Since this was the first usage
of the concurrent message loops, the number of idle wakes were determined to
be too high and this component has been rewritten to be simpler and not use
the existing task runner and MessageLoopImpl interface.
* Image decoding had no tests. The new `ui_unittests` harness has been added
that sets up a GPU test harness on the host using SwiftShader. Tests have been
added for image decompression, upload and resizing.
* The device memory exhaustion in this benchmark has been addressed. That
benchmark is still not viable for inclusion in any harness however because it
creates 9 million codecs in straight-line execution. Because these codecs are
destroyed in the microtask callbacks, these are referenced till those
callbacks are executed. So now, instead of device memory exhaustion, this will
lead to (slower) exhaustion of host memory. This is expected and working as
intended.
This patch only addresses peak memory use and makes collection of unused images
and textures more prompt. It does NOT address memory use by images referenced
strongly by the application or framework.
This does not actually import the runners into the engine. It only sets up the targets so they need no modifications are necessary when the migration is done. The engine has been verified to build in both buildroots.
`//flutter/runtime: runtime_lifecycle_unittests` was added because the these assumed that there was no VM already running in the process. Running other tests in the base target would mess up that assumption. Now that all test targets have been updated to make sure the VM instance does not leak, the tests in this target can be merged.
LUCI bots don’t need to be patched as these tests were only ever run on the trybots.
