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Use the newly implemented tegra_dev_iommu_get_stream_id() helper to
encapsulate and centralize the IOMMU stream ID access.
Signed-off-by: Thierry Reding <treding@nvidia.com>
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Fix the following coccicheck warning:
./drivers/gpu/drm/tegra/submit.c:689:2-7: WARNING:
NULL check before some freeing functions is not needed.
Signed-off-by: Yushan Zhou <katrinzhou@tencent.com>
Signed-off-by: Thierry Reding <treding@nvidia.com>
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Currently all fences have a 30 second timeout to ensure they are
cleaned up if the fence never completes otherwise. However, this
one size fits all solution doesn't actually fit in every case,
such as syncpoint waiting where we want to be able to have timeouts
longer than 30 seconds. As such, we want to be able to give control
over fence cancellation to the caller (and maybe eventually get rid
of the internal timeout altogether).
Here we add this cancellation mechanism by essentially adding a
function for entering the timeout path by function call, and changing
the syncpoint wait function to use it.
Signed-off-by: Mikko Perttunen <mperttunen@nvidia.com>
Signed-off-by: Thierry Reding <treding@nvidia.com>
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The symbol is not used outside of the file, so mark it static.
Fixes the following warning:
./drivers/gpu/drm/tegra/submit.c:136:28: warning: symbol 'gather_bo_ops'
was not declared. Should it be static?
Signed-off-by: ruanjinjie <ruanjinjie@huawei.com>
Signed-off-by: Thierry Reding <treding@nvidia.com>
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This patch fixes the following Coccinelle warning:
drivers/gpu/drm/tegra/submit.c:173: WARNING opportunity for vmemdup_user
Use vmemdup_user() rather than duplicating its implementation.
This is a little bit restricted to reduce false positives.
Signed-off-by: Qing Wang <wangqing@vivo.com>
Signed-off-by: Thierry Reding <treding@nvidia.com>
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For engines that support context isolation, allocate a context when
opening a channel, and set up stream ID offset and context fields
when submitting a job.
As of this commit, the stream ID offset and fallback stream ID
are not used when context isolation is disabled. However, with
upcoming patches that enable a full featured job opcode sequence,
these will be necessary.
Signed-off-by: Mikko Perttunen <mperttunen@nvidia.com>
Signed-off-by: Thierry Reding <treding@nvidia.com>
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Runtime PM is now universally available, make it mandatory by removing
the pm_runtime_enabled() checks.
Reviewed-by: Ulf Hansson <ulf.hansson@linaro.org>
Signed-off-by: Dmitry Osipenko <digetx@gmail.com>
Signed-off-by: Thierry Reding <treding@nvidia.com>
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Runtime PM auto-suspension doesn't work without pm_runtime_mark_last_busy(),
add it.
Cc: <stable@vger.kernel.org>
Reviewed-by: Ulf Hansson <ulf.hansson@linaro.org>
Signed-off-by: Dmitry Osipenko <digetx@gmail.com>
Signed-off-by: Thierry Reding <treding@nvidia.com>
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This cache is used to avoid mapping and unmapping buffer objects
unnecessarily. Mappings are cached per client and stay hot until
the buffer object is destroyed.
Signed-off-by: Thierry Reding <treding@nvidia.com>
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DMA-BUF requires that each device that accesses a DMA-BUF attaches to it
separately. To do so the host1x_bo_pin() and host1x_bo_unpin() functions
need to be reimplemented so that they can return a mapping, which either
represents an attachment or a map of the driver's own GEM object.
Signed-off-by: Thierry Reding <treding@nvidia.com>
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Add a firewall that validates jobs before submission to ensure
they don't do anything they aren't allowed to do, like accessing
memory they should not access.
The firewall is functionality-wise a copy of the firewall already
implemented in gpu/host1x. It is copied here as it makes more
sense for it to live on the DRM side, as it is only needed for
userspace job submissions, and generally the data it needs to
do its job is easier to access here.
In the future, the other implementation will be removed.
Signed-off-by: Mikko Perttunen <mperttunen@nvidia.com>
Signed-off-by: Thierry Reding <treding@nvidia.com>
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Implement the job submission IOCTL with a minimum feature set.
Signed-off-by: Mikko Perttunen <mperttunen@nvidia.com>
Signed-off-by: Thierry Reding <treding@nvidia.com>
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