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path: root/drivers/gpu/nvgpu/common/mm/vidmem.c
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* gpu: nvgpu: increase bootstrap allocator size to 512MDeepak Nibade2018-09-26
| | | | | | | | | | | | | | | | | | Bootstrap size of 256M is insufficient on some platforms, hence increase it to 512M Bug 2402730 Bug 200448236 Change-Id: I5f67e76db0e37d2044f5fc3c27014d6fda853abd Signed-off-by: Deepak Nibade <dnibade@nvidia.com> Reviewed-on: https://git-master.nvidia.com/r/1845051 Reviewed-by: svc-misra-checker <svc-misra-checker@nvidia.com> GVS: Gerrit_Virtual_Submit Reviewed-by: Seshendra Gadagottu <sgadagottu@nvidia.com> Reviewed-by: Alex Waterman <alexw@nvidia.com> Reviewed-by: mobile promotions <svcmobile_promotions@nvidia.com> Tested-by: mobile promotions <svcmobile_promotions@nvidia.com>
* gpu: nvgpu: move header location of gk20a.hDebarshi Dutta2018-09-25
| | | | | | | | | | | | | Update header path of gk20a.h in files present in common/ to <nvgpu/gk20a.h> Jira NVGPU-597 Change-Id: I3431dae93ada9bd561454c89a0b99c5292ab4a8d Signed-off-by: Debarshi Dutta <ddutta@nvidia.com> Reviewed-on: https://git-master.nvidia.com/r/1832024 Reviewed-by: mobile promotions <svcmobile_promotions@nvidia.com> Tested-by: mobile promotions <svcmobile_promotions@nvidia.com>
* gpu: nvgpu: Move FB size query to FBTerje Bergstrom2018-09-10
| | | | | | | | | | | | | Vidmem size query was in mm_xxx.c. It involves reading a register from FB, so move the query to FB HAL. JIRA NVGPU-1063 Change-Id: I30dfd2c4fdcdd6c841f85aaab7431d52473759bd Signed-off-by: Terje Bergstrom <tbergstrom@nvidia.com> Reviewed-on: https://git-master.nvidia.com/r/1801425 Reviewed-by: mobile promotions <svcmobile_promotions@nvidia.com> Tested-by: mobile promotions <svcmobile_promotions@nvidia.com>
* gpu: nvgpu: make bootstrap allocations contiguousDeepak Nibade2018-09-06
| | | | | | | | | | | | | | | | | | | | | | | | We use bootstrap vidmem allocator for all the vidmem allocations that happen boot time And we need to program physical address for all the potential vidmem buffers that we program into h/w and are needed during boot So force the allocator to allocate contigous memory We otherwise see a warning dump when we program physical address of memory which is allocated in multiple pages Bug 2180284 Jira NVGPUT-12 Change-Id: Ib9c2d42ea463bc424c2cb4da8ffd8ebae436e0f6 Signed-off-by: Deepak Nibade <dnibade@nvidia.com> Reviewed-on: https://git-master.nvidia.com/r/1805467 Reviewed-by: Automatic_Commit_Validation_User GVS: Gerrit_Virtual_Submit Reviewed-by: Terje Bergstrom <tbergstrom@nvidia.com> Reviewed-by: mobile promotions <svcmobile_promotions@nvidia.com> Tested-by: mobile promotions <svcmobile_promotions@nvidia.com>
* gpu: nvgpu: increase bootstrap vidmem carveout to 256MDeepak Nibade2018-09-06
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | We right now have a bootstrap carveout in vidmem of size 16M and having base address at {total_vidmem_size - 256M} So this design divides rest of the vidmem into two chunks And the size of bootstrap carveout is also small and insufficient for vidmem allocations during boot Hence increase the bootstrap vidmem carevout to 256M and move it to the end of entire vidmem Rename the carevout name for wpr_co to bootstrap_co as it is more appropriate Also update __nvgpu_vidmem_do_clear_all() to clear only one chunk of vidmem instead of two Bug 2180284 Jira NVGPUT-12 Change-Id: I9c8d62bcd705c7112385df3d4f714e0190b48e17 Signed-off-by: Deepak Nibade <dnibade@nvidia.com> Reviewed-on: https://git-master.nvidia.com/r/1805466 GVS: Gerrit_Virtual_Submit Reviewed-by: Terje Bergstrom <tbergstrom@nvidia.com> Reviewed-by: Seshendra Gadagottu <sgadagottu@nvidia.com> Reviewed-by: mobile promotions <svcmobile_promotions@nvidia.com> Tested-by: mobile promotions <svcmobile_promotions@nvidia.com>
* gpu: nvgpu: clean up channel header includesKonsta Holtta2018-08-24
| | | | | | | | | | | | | | | | Remove a few unnecessary includes from channel_gk20a.h and add them to c files where needed. Jira NVGPU-967 Change-Id: Ic38132c776a56b6966424806faab7871575b6c10 Signed-off-by: Konsta Holtta <kholtta@nvidia.com> Reviewed-on: https://git-master.nvidia.com/r/1804609 Reviewed-by: svc-misra-checker <svc-misra-checker@nvidia.com> GVS: Gerrit_Virtual_Submit Reviewed-by: Terje Bergstrom <tbergstrom@nvidia.com> Reviewed-by: mobile promotions <svcmobile_promotions@nvidia.com> Tested-by: mobile promotions <svcmobile_promotions@nvidia.com>
* gpu: nvgpu: do not access register in vidmem destroyAparna Das2018-07-20
| | | | | | | | | | | | | | | | | | | | Do vidmem destroy only if get_vidmem_size HAL op is set which will skip this for iGPU. Do not read vidmem size explicitly in vidmem destroy in shutdown path after prepare poweroff. Bug 200427479 Change-Id: Ic919b03d44b5505646b449fd74f9f5d3e9e0dfee Signed-off-by: Aparna Das <aparnad@nvidia.com> Reviewed-on: https://git-master.nvidia.com/r/1776388 Reviewed-by: svc-misra-checker <svc-misra-checker@nvidia.com> GVS: Gerrit_Virtual_Submit Reviewed-by: Richard Zhao <rizhao@nvidia.com> Reviewed-by: Alex Waterman <alexw@nvidia.com> Reviewed-by: Nirav Patel <nipatel@nvidia.com> Reviewed-by: mobile promotions <svcmobile_promotions@nvidia.com> Tested-by: mobile promotions <svcmobile_promotions@nvidia.com>
* gpu: nvgpu: skip destroy if vidmem not initializedNitin Kumbhar2018-06-14
| | | | | | | | | | | | | | | | | | | | | | | The vidmem shall be destroyed only if it has been initialized. If not skipped, it accesses mutexes which are in invalid state. This results in BUG like: BUG: spinlock bad magic on CPU#0, rmmod/1560 Also, destroy vidmem bootstrap allocator which is set up in nvgpu_vidmem_init(). Bug 1987855 Change-Id: I68e91422a54b40feeb9071158b797828e2391303 Signed-off-by: Nitin Kumbhar <nkumbhar@nvidia.com> Reviewed-on: https://git-master.nvidia.com/r/1730535 Reviewed-by: Automatic_Commit_Validation_User Reviewed-by: svc-mobile-coverity <svc-mobile-coverity@nvidia.com> Reviewed-by: Vijayakumar Subbu <vsubbu@nvidia.com> GVS: Gerrit_Virtual_Submit Reviewed-by: mobile promotions <svcmobile_promotions@nvidia.com> Tested-by: mobile promotions <svcmobile_promotions@nvidia.com>
* gpu: nvgpu: Remove gk20a_dbg* functionsTerje Bergstrom2018-05-09
| | | | | | | | | | | | | | | Switch all logging to nvgpu_log*(). gk20a_dbg* macros are intentionally left there because of use from other repositories. Because the new functions do not work without a pointer to struct gk20a, and piping it just for logging is excessive, some log messages are deleted. Change-Id: I00e22e75fe4596a330bb0282ab4774b3639ee31e Signed-off-by: Terje Bergstrom <tbergstrom@nvidia.com> Reviewed-on: https://git-master.nvidia.com/r/1704148 Reviewed-by: mobile promotions <svcmobile_promotions@nvidia.com> Tested-by: mobile promotions <svcmobile_promotions@nvidia.com>
* gpu: nvgpu: fix misc issue for dgpu code on QNX buildShashank Singh2018-04-10
| | | | | | | | | | | | | | | | - QNX is pulling dgpu code from linux which has multiple build failure on QNX. Like QNX needs explicit declaration for all non-static functions. Some linux specific headers need to be put under __KERNEL__ flag. Change-Id: I15af1a1f6a069c82f9a81449f4f7c7d48612de42 Signed-off-by: Shashank Singh <shashsingh@nvidia.com> Reviewed-on: https://git-master.nvidia.com/r/1665752 Reviewed-by: Terje Bergstrom <tbergstrom@nvidia.com> Tested-by: Terje Bergstrom <tbergstrom@nvidia.com> Reviewed-by: mobile promotions <svcmobile_promotions@nvidia.com> Tested-by: mobile promotions <svcmobile_promotions@nvidia.com>
* gpu: nvgpu: add placeholder for IPA to PAThomas Fleury2018-03-13
| | | | | | | | | | | | | | | | Add __nvgpu_sgl_phys function that can be used to implement IPA to PA translation in a subsequent change. Adapt existing function prototypes to add pointer to gpu context, as we will need to check if IPA to PA translation is needed. JIRA EVLR-2442 Bug 200392719 Change-Id: I5a734c958c8277d1bf673c020dafb31263f142d6 Signed-off-by: Thomas Fleury <tfleury@nvidia.com> Reviewed-on: https://git-master.nvidia.com/r/1673142 Reviewed-by: mobile promotions <svcmobile_promotions@nvidia.com> Tested-by: mobile promotions <svcmobile_promotions@nvidia.com>
* gpu: nvgpu: Correctly plumb -EAGAIN from vidmem allocationsAlex Waterman2018-03-08
| | | | | | | | | | | | | | | | | | Userspace can and should retry vidmem allocations if there are pending clears still to be executed by the GPU. But this requires the -EAGAIN to properly propagate back to userspace. Bug 200378648 Change-Id: Ib930711270439843e043d65c2e87b60612a76239 Signed-off-by: Alex Waterman <alexw@nvidia.com> Reviewed-on: https://git-master.nvidia.com/r/1669099 Reviewed-by: svc-mobile-coverity <svc-mobile-coverity@nvidia.com> GVS: Gerrit_Virtual_Submit Reviewed-by: Konsta Holtta <kholtta@nvidia.com> Reviewed-by: Vijayakumar Subbu <vsubbu@nvidia.com> Reviewed-by: mobile promotions <svcmobile_promotions@nvidia.com> Tested-by: mobile promotions <svcmobile_promotions@nvidia.com>
* gpu: nvgpu: introduce explicit nvgpu_sgl typeKonsta Holtta2018-03-01
| | | | | | | | | | | | | | | | | | | | | | | | | | The operations in struct nvgpu_sgt_ops have a scatter-gather list (sgl) argument which is a void pointer. Change the type signatures to take struct nvgpu_sgl * which is an opaque marker type that makes it more difficult to pass around wrong arguments, as anything goes for void *. Explicit types add also self-documentation to the code. For some added safety, some explicit type casts are now required in implementors of the nvgpu_sgt_ops interface when converting between the general nvgpu_sgl type and implementation-specific types. This is not purely a bad thing because the casts explain clearly where type conversions are happening. Jira NVGPU-30 Jira NVGPU-52 Jira NVGPU-305 Change-Id: Ic64eed6d2d39ca5786e62b172ddb7133af16817a Signed-off-by: Konsta Holtta <kholtta@nvidia.com> Reviewed-on: https://git-master.nvidia.com/r/1643555 GVS: Gerrit_Virtual_Submit Reviewed-by: Vijayakumar Subbu <vsubbu@nvidia.com> Reviewed-by: mobile promotions <svcmobile_promotions@nvidia.com> Tested-by: mobile promotions <svcmobile_promotions@nvidia.com>
* gpu: nvgpu: ce: drop prefence supportKonsta Holtta2018-01-26
| | | | | | | | | | | | | | | | | Delete the gk20a_fence_in argument in gk20a_ce_execute_ops. It has never been used and is in the way of some upcoming code cleanup. NVGPU-43 Change-Id: Ie61e1a2f4945b1e34d64880044c265d26fa822d7 Signed-off-by: Konsta Holtta <kholtta@nvidia.com> Reviewed-on: https://git-master.nvidia.com/r/1646036 Reviewed-by: svc-mobile-coverity <svc-mobile-coverity@nvidia.com> Reviewed-by: Alex Waterman <alexw@nvidia.com> GVS: Gerrit_Virtual_Submit Reviewed-by: Terje Bergstrom <tbergstrom@nvidia.com> Reviewed-by: mobile promotions <svcmobile_promotions@nvidia.com> Tested-by: mobile promotions <svcmobile_promotions@nvidia.com>
* gpu: nvgpu: Introduce include/nvpgu/sizes.hTerje Bergstrom2017-12-01
| | | | | | | | | | | | We use SZ_* #defines in some parts of nvgpu, but we don't explicitly include a header that defines it. Add include/nvgpu/sizes.h that in Linux #includes linux/sizes.h. Change-Id: I8f506d85c7eaa12e649f5874a87533e2f0fe9438 Signed-off-by: Terje Bergstrom <tbergstrom@nvidia.com> Reviewed-on: https://git-master.nvidia.com/r/1607575 Reviewed-by: mobile promotions <svcmobile_promotions@nvidia.com> Tested-by: mobile promotions <svcmobile_promotions@nvidia.com>
* gpu: nvgpu: Add nvgpu/bug.h include to some MM filesAlex Waterman2017-11-30
| | | | | | | | | | | | | | | | | | Add <nvgpu/bug.h> to MM files that use any of the BUG, BUG_ON, WARN, WARN_ON, etc, macros but do not yet include <nvgpu/bug.h>. JIRA NVGPU-401 Change-Id: I538219683d2a52b15abf147ff4bcf6375b6cb8a0 Signed-off-by: Alex Waterman <alexw@nvidia.com> Reviewed-on: https://git-master.nvidia.com/r/1599960 Reviewed-by: svc-mobile-coverity <svc-mobile-coverity@nvidia.com> GVS: Gerrit_Virtual_Submit Reviewed-by: David Martinez Nieto <dmartineznie@nvidia.com> Reviewed-by: Deepak Nibade <dnibade@nvidia.com> Reviewed-by: Terje Bergstrom <tbergstrom@nvidia.com> Reviewed-by: mobile promotions <svcmobile_promotions@nvidia.com> Tested-by: mobile promotions <svcmobile_promotions@nvidia.com>
* gpu: nvgpu: fix vidmem regressionDavid Nieto2017-10-23
| | | | | | | | | | | | | | Ensures all vidmem mutex are init bug 2004378 Change-Id: I2ffb1d8e99ecb269b36e5ea79d08db2021e54302 Signed-off-by: David Nieto <dmartineznie@nvidia.com> Reviewed-on: https://git-master.nvidia.com/r/1583196 Reviewed-by: svccoveritychecker <svccoveritychecker@nvidia.com> Reviewed-by: Automatic_Commit_Validation_User GVS: Gerrit_Virtual_Submit Reviewed-by: Vijayakumar Subbu <vsubbu@nvidia.com>
* gpu: nvgpu: Add VIDMEM debuggingAlex Waterman2017-10-20
| | | | | | | | | | | | | | Add some VIDMEM debugging to help track the background free thread and allocs/frees. JIRA NVGPU-30 JIRA NVGPU-138 Change-Id: I88471b29d2a42c104666b111d0d3014110c9d56c Signed-off-by: Alex Waterman <alexw@nvidia.com> Reviewed-on: https://git-master.nvidia.com/r/1576330 GVS: Gerrit_Virtual_Submit Reviewed-by: Terje Bergstrom <tbergstrom@nvidia.com>
* gpu: nvgpu: Convert VIDMEM work_struct to threadAlex Waterman2017-10-20
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | Convert the work_struct used by the vidmem background clearing to a thread to make it more cross platform. The thread waits on a condition variable to determine when work needs to be done. The signal comes from the DMA API when it enqueues a new nvgpu_mem that needs clearing. Add logic for handling suspend: the CE cannot be accessed while the GPU is suspended. As such the background thread must be paused while the GPU is suspended and the CE is not available. Several other changes were also made: o Move the code that enqueues a nvgpu_mem from the DMA API code to a function in the VIDMEM code. o Move nvgpu_vidmem_get_pending_alloc() to the Linux specific code as this function is only used there. It's a trivial function that QNX can easily implement as well. o Remove the was_empty logic from the enqueue. Now just always signal the condition variable when anew nvgpu_mem comes in. o Move CE suspend to after MM suspend. JIRA NVGPU-30 JIRA NVGPU-138 Change-Id: Ie9286ae5a127c3fced86dfb9794e7d81eab0491c Signed-off-by: Alex Waterman <alexw@nvidia.com> Reviewed-on: https://git-master.nvidia.com/r/1574498 Reviewed-by: Automatic_Commit_Validation_User GVS: Gerrit_Virtual_Submit Reviewed-by: Terje Bergstrom <tbergstrom@nvidia.com>
* gpu: nvgpu: Reduce usage of nvgpu_vidmem_get_page_allocAlex Waterman2017-10-13
| | | | | | | | | | | | | | | | | Reduce the usage of nvgpu_vidmem_get_page_alloc() and friends as much as possible. This reduces the dependency of nvgpu on Linux SGLs. SGLs still need to be used, however, since sharing buffers in userspace is done by dma_buf FD. The best way to pass the vidmem buf through the dma_buf is by SGL pointer. JIRA NVGPU-30 JIRA NVGPU-138 Change-Id: Ide0e9e5a557f00aa63b063be085042101a5b34ee Signed-off-by: Alex Waterman <alexw@nvidia.com> Reviewed-on: https://git-master.nvidia.com/r/1540709 Reviewed-by: mobile promotions <svcmobile_promotions@nvidia.com> Tested-by: mobile promotions <svcmobile_promotions@nvidia.com>
* gpu: nvgpu: Separate vidmem alloc from Linux codeAlex Waterman2017-10-13
| | | | | | | | | | | | | | | | | Split the core vidmem allocation from the Linux component of vidmem allocation. The core vidmem allocation allocates the nvgpu_mem struct that defines the vidmem buffer in the core MM code. The Linux code now allocates some Linux specific stuff (dma_buf, etc) and also allocates the core vidmem buf. JIRA NVGPU-30 JIRA NVGPU-138 Change-Id: I88e87e0abd5ec714610eacc6eac17e148bcee3ce Signed-off-by: Alex Waterman <alexw@nvidia.com> Reviewed-on: https://git-master.nvidia.com/r/1540708 Reviewed-by: mobile promotions <svcmobile_promotions@nvidia.com> Tested-by: mobile promotions <svcmobile_promotions@nvidia.com>
* gpu: nvgpu: Rename vidmem APIsAlex Waterman2017-10-13
| | | | | | | | | | | | | | | Rename the VIDMEM APIs to be prefixed by nvgpu_ to ensure consistency and that all the non-static vidmem functions are properly namespaced. JIRA NVGPU-30 JIRA NVGPU-138 Change-Id: I9986ee8f2c8f95a4b7c5e2b9607bc1e77933ccfc Signed-off-by: Alex Waterman <alexw@nvidia.com> Reviewed-on: https://git-master.nvidia.com/r/1540707 Reviewed-by: mobile promotions <svcmobile_promotions@nvidia.com> Tested-by: mobile promotions <svcmobile_promotions@nvidia.com>
* gpu: nvgpu: Split VIDMEM support from mm_gk20a.cAlex Waterman2017-10-10
Split VIDMEM support into its own code files organized as such: common/mm/vidmem.c - Base vidmem support common/linux/vidmem.c - Linux specific user-space interaction include/nvgpu/vidmem.h - Vidmem API definitions Also use the config to enable/disable VIDMEM support in the makefile and remove as many CONFIG_GK20A_VIDMEM preprocessor checks as possible from the source code. And lastly update a while-loop that iterated over an SGT to use the new for_each construct for iterating over SGTs. Currently this organization is not perfectly adhered to. More patches will fix that. JIRA NVGPU-30 JIRA NVGPU-138 Change-Id: Ic0f4d2cf38b65849c7dc350a69b175421477069c Signed-off-by: Alex Waterman <alexw@nvidia.com> Reviewed-on: https://git-master.nvidia.com/r/1540705 Reviewed-by: mobile promotions <svcmobile_promotions@nvidia.com> Tested-by: mobile promotions <svcmobile_promotions@nvidia.com>
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