drm/amd/display: Try RGB before YCbCr 4:4:4 in stream validationgrafted

amdgpu_dm_create_validate_stream_for_sink() walks encoding_order[] and
uses the first encoding that validates. YCbCr 4:4:4 is listed before
RGB, so an HDMI sink that advertises 4:4:4 gets YCbCr 4:4:4 whenever the
"color format" property is left at AUTO, even though RGB fits the same
link.

That contradicts the documented AUTO behaviour for HDMI in enum
drm_connector_color_format (RGB, falling back to YCbCr 4:2:0 only when
the bandwidth is not available or the mode is 4:2:0-only), which the
amdgpu implementation of the property also describes. It also leaves
the "Broadcast RGB" property without effect on such sinks, since the
quantization range it selects only applies to RGB output.

Try RGB first. The mask still holds every encoding the sink supports,
so a mode that cannot carry RGB falls back exactly as before.

For reference, v7.2 picked RGB here unless YCbCr 4:4:4 was forced
through debugfs, while earlier kernels picked YCbCr 4:4:4 for any HDMI
sink that advertised it.

Fixes: 0b0ff65d3ca1 ("drm/amd/display: Refactor stream validation")
Suggested-by: Adolfo Rodrigues <adolfotregosa@gmail.com>
Assisted-by: Claude Code:claude-fable-5-1
Signed-off-by: Adrian Betschart <adrian.betschart@cinemaone.ch>
Reviewed-by: Fangzhi Zuo <jerry.zuo@amd.com>
Tested-by: Adolfo Rodrigues <adolfotregosa@gmail.com>
Tested-by: Daniel Wheeler <daniel.wheeler@amd.com>
Signed-off-by: Alex Deucher <alexander.deucher@amd.com>
(cherry picked from commit 7de432bc753133764dc40d37f9388da56de251e7)

1 files changed, 109 insertions, 0 deletions

diff --git a/Documentation/dev-tools/kunit/index.rst b/Documentation/dev-tools/kunit/index.rst
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+.. SPDX-License-Identifier: GPL-2.0
+
+=================================
+KUnit - Linux Kernel Unit Testing
+=================================
+
+.. toctree::
+	:maxdepth: 2
+	:caption: Contents:
+
+	start
+	architecture
+	run_wrapper
+	run_manual
+	usage
+	api/index
+	style
+	faq
+	running_tips
+
+This section details the kernel unit testing framework.
+
+Introduction
+============
+
+KUnit (Kernel unit testing framework) provides a common framework for
+unit tests within the Linux kernel. Using KUnit, you can define groups
+of test cases called test suites. The tests either run on kernel boot
+if built-in, or load as a module. KUnit automatically flags and reports
+failed test cases in the kernel log. The test results appear in
+:doc:`KTAP (Kernel - Test Anything Protocol) format</dev-tools/ktap>`.
+It is inspired by JUnit, Python’s unittest.mock, and GoogleTest/GoogleMock
+(C++ unit testing framework).
+
+KUnit tests are part of the kernel, written in the C (programming)
+language, and test parts of the Kernel implementation (example: a C
+language function). Excluding build time, from invocation to
+completion, KUnit can run around 100 tests in less than 10 seconds.
+KUnit can test any kernel component, for example: file system, system
+calls, memory management, device drivers and so on.
+
+KUnit follows the white-box testing approach. The test has access to
+internal system functionality. KUnit runs in kernel space and is not
+restricted to things exposed to user-space.
+
+In addition, KUnit has kunit_tool, a script (``tools/testing/kunit/kunit.py``)
+that configures the Linux kernel, runs KUnit tests under QEMU or UML
+(:doc:`User Mode Linux </virt/uml/user_mode_linux_howto_v2>`),
+parses the test results and
+displays them in a user friendly manner.
+
+Features
+--------
+
+- Provides a framework for writing unit tests.
+- Runs tests on any kernel architecture.
+- Runs a test in milliseconds.
+
+Prerequisites
+-------------
+
+- Any Linux kernel compatible hardware.
+- For Kernel under test, Linux kernel version 5.5 or greater.
+
+Unit Testing
+============
+
+A unit test tests a single unit of code in isolation. A unit test is the finest
+granularity of testing and allows all possible code paths to be tested in the
+code under test. This is possible if the code under test is small and does not
+have any external dependencies outside of the test's control like hardware.
+
+
+Write Unit Tests
+----------------
+
+To write good unit tests, there is a simple but powerful pattern:
+Arrange-Act-Assert. This is a great way to structure test cases and
+defines an order of operations.
+
+- Arrange inputs and targets: At the start of the test, arrange the data
+  that allows a function to work. Example: initialize a statement or
+  object.
+- Act on the target behavior: Call your function/code under test.
+- Assert expected outcome: Verify that the result (or resulting state) is as
+  expected.
+
+Unit Testing Advantages
+-----------------------
+
+- Increases testing speed and development in the long run.
+- Detects bugs at initial stage and therefore decreases bug fix cost
+  compared to acceptance testing.
+- Improves code quality.
+- Encourages writing testable code.
+
+Read also :ref:`kinds-of-tests`.
+
+How do I use it?
+================
+
+You can find a step-by-step guide to writing and running KUnit tests in
+Documentation/dev-tools/kunit/start.rst
+
+Alternatively, feel free to look through the rest of the KUnit documentation,
+or to experiment with tools/testing/kunit/kunit.py and the example test under
+lib/kunit/kunit-example-test.c
+
+Happy testing!