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path: root/drivers/dma/tegra210-adma.c
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2019-05-04dmaengine: tegra210-adma: restore channel statusSameer Pujar
Status of ADMA channel registers is not saved and restored during system suspend. During active playback if system enters suspend, this results in wrong state of channel registers during system resume and playback fails to resume properly. Fix this by saving following channel registers in runtime suspend and restore during runtime resume. * ADMA_CH_LOWER_SRC_ADDR * ADMA_CH_LOWER_TRG_ADDR * ADMA_CH_FIFO_CTRL * ADMA_CH_CONFIG * ADMA_CH_CTRL * ADMA_CH_CMD * ADMA_CH_TC Runtime PM calls will be inovked during system resume path if a playback or capture needs to be resumed. Hence above changes work fine for system suspend case. Fixes: f46b195799b5 ("dmaengine: tegra-adma: Add support for Tegra210 ADMA") Signed-off-by: Sameer Pujar <spujar@nvidia.com> Reviewed-by: Jon Hunter <jonathanh@nvidia.com> Signed-off-by: Vinod Koul <vkoul@kernel.org>
2019-05-04dmaengine: tegra210-dma: free dma controller in remove()Sameer Pujar
Following kernel panic is seen during DMA driver unload->load sequence ========================================================================== Unable to handle kernel paging request at virtual address ffffff8001198880 Internal error: Oops: 86000007 [#1] PREEMPT SMP CPU: 0 PID: 5907 Comm: HwBinder:4123_1 Tainted: G C 4.9.128-tegra-g065839f Hardware name: galen (DT) task: ffffffc3590d1a80 task.stack: ffffffc3d0678000 PC is at 0xffffff8001198880 LR is at of_dma_request_slave_channel+0xd8/0x1f8 pc : [<ffffff8001198880>] lr : [<ffffff8008746f30>] pstate: 60400045 sp : ffffffc3d067b710 x29: ffffffc3d067b710 x28: 000000000000002f x27: ffffff800949e000 x26: ffffff800949e750 x25: ffffff800949e000 x24: ffffffbefe817d84 x23: ffffff8009f77cb0 x22: 0000000000000028 x21: ffffffc3ffda49c8 x20: 0000000000000029 x19: 0000000000000001 x18: ffffffffffffffff x17: 0000000000000000 x16: ffffff80082b66a0 x15: ffffff8009e78250 x14: 000000000000000a x13: 0000000000000038 x12: 0101010101010101 x11: 0000000000000030 x10: 0101010101010101 x9 : fffffffffffffffc x8 : 7f7f7f7f7f7f7f7f x7 : 62ff726b6b64622c x6 : 0000000000008064 x5 : 6400000000000000 x4 : ffffffbefe817c44 x3 : ffffffc3ffda3e08 x2 : ffffff8001198880 x1 : ffffffc3d48323c0 x0 : ffffffc3d067b788 Process HwBinder:4123_1 (pid: 5907, stack limit = 0xffffffc3d0678028) Call trace: [<ffffff8001198880>] 0xffffff8001198880 [<ffffff80087459f8>] dma_request_chan+0x50/0x1f0 [<ffffff8008745bc0>] dma_request_slave_channel+0x28/0x40 [<ffffff8001552c44>] tegra_alt_pcm_open+0x114/0x170 [<ffffff8008d65fa4>] soc_pcm_open+0x10c/0x878 [<ffffff8008d18618>] snd_pcm_open_substream+0xc0/0x170 [<ffffff8008d1878c>] snd_pcm_open+0xc4/0x240 [<ffffff8008d189e0>] snd_pcm_playback_open+0x58/0x80 [<ffffff8008cfc6d4>] snd_open+0xb4/0x178 [<ffffff8008250628>] chrdev_open+0xb8/0x1d0 [<ffffff8008246fdc>] do_dentry_open+0x214/0x318 [<ffffff80082485d0>] vfs_open+0x58/0x88 [<ffffff800825bce0>] do_last+0x450/0xde0 [<ffffff800825c718>] path_openat+0xa8/0x368 [<ffffff800825dd84>] do_filp_open+0x8c/0x110 [<ffffff8008248a74>] do_sys_open+0x164/0x220 [<ffffff80082b66dc>] compat_SyS_openat+0x3c/0x50 [<ffffff8008083040>] el0_svc_naked+0x34/0x38 ---[ end trace 67e6d544e65b5145 ]--- Kernel panic - not syncing: Fatal exception ========================================================================== In device probe(), of_dma_controller_register() registers DMA controller. But when driver is removed, this is not freed. During driver reload this results in data abort and kernel panic. Add of_dma_controller_free() in driver remove path to fix the issue. Fixes: f46b195799b5 ("dmaengine: tegra-adma: Add support for Tegra210 ADMA") Signed-off-by: Sameer Pujar <spujar@nvidia.com> Reviewed-by: Jon Hunter <jonathanh@nvidia.com> Signed-off-by: Vinod Koul <vkoul@kernel.org>
2019-05-04dmaengine: tegra210-adma: add pause/resume supportSameer Pujar
During an audio playback session it is observed that, audio goes off after few seconds of continuous pause and play. No audio is heard even when the playback is resumed. The reason for above is, currently ADMA driver does not handle DMA_PAUSE/ DMA_RESUME and relevant callbacks for dma_device are not implemented. This patch implements device_pause and device_resume callbacks for the device. During pause TRANSFER_PAUSE bit of dma channel control register is set and the same is cleared during resume. Signed-off-by: Sameer Pujar <spujar@nvidia.com> Reviewed-by: Jon Hunter <jonathanh@nvidia.com> Signed-off-by: Vinod Koul <vkoul@kernel.org>
2019-05-04dmaengine: tegra210-adma: add support for Tegra186/Tegra194Sameer Pujar
Add Tegra186 specific macro defines and chip_data structure for chip specific information. New compatibility is added to select relevant chip details. There is no major change for Tegra194 and hence it can use the same chip data. The bits in the BURST_SIZE field of the ADMA CH_CONFIG register are encoded differently on Tegra186 and Tegra194 compared with Tegra210. On Tegra210 the bits are encoded as follows ... 1 = WORD_1 2 = WORDS_2 3 = WORDS_4 4 = WORDS_8 5 = WORDS_16 Where as on Tegra186 and Tegra194 the bits are encoded as ... 0 = WORD_1 1 = WORDS_2 2 = WORDS_3 3 = WORDS_4 4 = WORDS_5 ... 15 = WORDS_16 Add helper functions for generating the correct burst size. Signed-off-by: Sameer Pujar <spujar@nvidia.com> Reviewed-by: Jon Hunter <jonathanh@nvidia.com> Signed-off-by: Vinod Koul <vkoul@kernel.org>
2019-05-04dmaengine: tegra210-adma: prepare for supporting newer Tegra chipsSameer Pujar
This is a preparatory patch to add support for Tegra186 and Tegra194 chips. Following changes are necessary to make driver code generic. * chip_data structure is enhanced to have chip specific details and following are the additions to the structure * Offset addresses for ADMA global and channel registers * Offset values for Tx and Rx channel selection * Maximum supported Tx and Rx channels * Tx and Rx channel request mask * ADMA channel register space size * Make use of above chip_data to generalise the driver code Support for Tegra186 and Tegra194 will be added in subsequent patches of the series. Signed-off-by: Sameer Pujar <spujar@nvidia.com> Reviewed-by: Jon Hunter <jonathanh@nvidia.com> Signed-off-by: Vinod Koul <vkoul@kernel.org>
2019-03-25dmaengine: tegra210-adma: update system sleep callbacksSameer Pujar
If the driver is active till late suspend, where runtime PM cannot run, force suspend is essential in such case to put the device in low power state. Thus pm_runtime_force_suspend and pm_runtime_force_resume are used as system sleep callbacks during system wide PM transitions. Late system sleep callbacks are used to ensure, for instance, that the sound core has suspended any on-going activity, including stopping the ADMA if active, before we attempt to suspend the ADMA. Suggested-by: Jonathan Hunter <jonathanh@nvidia.com> Signed-off-by: Sameer Pujar <spujar@nvidia.com> Acked-by: Jon Hunter <jonathanh@nvidia.com> Signed-off-by: Vinod Koul <vkoul@kernel.org>
2019-03-25dmaengine: tegra210-adma: use devm_clk_*() helpersSameer Pujar
adma driver is using pm_clk_*() interface for managing clock resources. With this it is observed that clocks remain ON always. This happens on Tegra devices which use BPMP co-processor to manage clock resources, where clocks are enabled during prepare phase. This is necessary because clocks to BPMP are always blocking. When pm_clk_*() interface is used on such Tegra devices, clock prepare count is not balanced till remove call happens for the driver and hence clocks are seen ON always. Thus this patch replaces pm_clk_*() with devm_clk_*() framework. Suggested-by: Mohan Kumar D <mkumard@nvidia.com> Reviewed-by: Jonathan Hunter <jonathanh@nvidia.com> Signed-off-by: Sameer Pujar <spujar@nvidia.com> Signed-off-by: Vinod Koul <vkoul@kernel.org>
2019-01-20dmaengine: tegra210-adma: Use struct_size() in devm_kzalloc()Gustavo A. R. Silva
One of the more common cases of allocation size calculations is finding the size of a structure that has a zero-sized array at the end, along with memory for some number of elements for that array. For example: struct foo { int stuff; void *entry[]; }; instance = devm_kzalloc(dev, sizeof(struct foo) + sizeof(void *) * count, GFP_KERNEL); Instead of leaving these open-coded and prone to type mistakes, we can now use the new struct_size() helper: instance = devm_kzalloc(dev, struct_size(instance, entry, count), GFP_KERNEL); This code was detected with the help of Coccinelle. Signed-off-by: Gustavo A. R. Silva <gustavo@embeddedor.com> Signed-off-by: Vinod Koul <vkoul@kernel.org>
2017-08-09dmaengine: tegra210-adma: fix of_irq_get() error checkSergei Shtylyov
of_irq_get() may return 0 as well as negative error number on failure, while the driver only checks for the negative values. The driver would then call request_irq(0, ...) in tegra_adma_alloc_chan_resources() and never get valid channel interrupt. Check for 'tdc->irq <= 0' instead and return -ENXIO from the driver's probe iff of_irq_get() returned 0. Fixes: f46b195799b5 ("dmaengine: tegra-adma: Add support for Tegra210 ADMA") Signed-off-by: Sergei Shtylyov <sergei.shtylyov@cogentembedded.com> Acked-by: Thierry Reding <treding@nvidia.com> Acked-by: Jon Hunter <jonathanh@nvidia.com> Signed-off-by: Vinod Koul <vinod.koul@intel.com>
2016-08-22dmaengine: tegra210-adma: Update driver to use of_pm_clk_add_clkJon Hunter
Commit 498b5fdd40dd ("PM / clk: Add support for adding a specific clock from device-tree") add a new helper function for adding a clock from device-tree to a device. Update the ADMA driver to use this new function to simplify the driver. Signed-off-by: Jon Hunter <jonathanh@nvidia.com> Acked-by: Laxman Dewangan <ldewangan@nvidia.com> Signed-off-by: Vinod Koul <vinod.koul@intel.com>
2016-05-13dmaengine: tegra-adma: Add support for Tegra210 ADMAJon Hunter
Add support for the Tegra210 Audio DMA controller that is used for transferring data between system memory and the Audio sub-system. The driver only supports cyclic transfers because this is being solely used for audio. This driver is based upon the work by Dara Ramesh <dramesh@nvidia.com>. Signed-off-by: Jon Hunter <jonathanh@nvidia.com> Signed-off-by: Vinod Koul <vinod.koul@intel.com>