drivers/gpu/drm/nouveau/nvkm/engine/gr/nv30.c

Source file repositories/reference/linux-study-clean/drivers/gpu/drm/nouveau/nvkm/engine/gr/nv30.c

File Facts

System
Linux kernel
Corpus path
drivers/gpu/drm/nouveau/nvkm/engine/gr/nv30.c
Extension
.c
Size
7178 bytes
Lines
201
Domain
Driver Families
Bucket
drivers/gpu
Inferred role
Driver Families: implementation source
Status
source implementation candidate

Why This File Exists

Repeatable hardware-adapter layer. Deep compatibility for every driver is out of scope; this atlas records patterns, probe lifecycles, bus glue, IRQ/DMA usage, and links back to core abstractions.

Dependency Surface

Detected Declarations

Annotated Snippet

// SPDX-License-Identifier: MIT
#include "nv20.h"
#include "regs.h"

#include <core/gpuobj.h>
#include <engine/fifo.h>
#include <engine/fifo/chan.h>
#include <subdev/fb.h>

/*******************************************************************************
 * PGRAPH context
 ******************************************************************************/

static const struct nvkm_object_func
nv30_gr_chan = {
	.dtor = nv20_gr_chan_dtor,
	.init = nv20_gr_chan_init,
	.fini = nv20_gr_chan_fini,
};

static int
nv30_gr_chan_new(struct nvkm_gr *base, struct nvkm_chan *fifoch,
		 const struct nvkm_oclass *oclass, struct nvkm_object **pobject)
{
	struct nv20_gr *gr = nv20_gr(base);
	struct nv20_gr_chan *chan;
	int ret, i;

	if (!(chan = kzalloc_obj(*chan)))
		return -ENOMEM;
	nvkm_object_ctor(&nv30_gr_chan, oclass, &chan->object);
	chan->gr = gr;
	chan->chid = fifoch->id;
	*pobject = &chan->object;

	ret = nvkm_memory_new(gr->base.engine.subdev.device,
			      NVKM_MEM_TARGET_INST, 0x5f48, 16, true,
			      &chan->inst);
	if (ret)
		return ret;

	nvkm_kmap(chan->inst);
	nvkm_wo32(chan->inst, 0x0028, 0x00000001 | (chan->chid << 24));
	nvkm_wo32(chan->inst, 0x0410, 0x00000101);
	nvkm_wo32(chan->inst, 0x0424, 0x00000111);
	nvkm_wo32(chan->inst, 0x0428, 0x00000060);
	nvkm_wo32(chan->inst, 0x0444, 0x00000080);
	nvkm_wo32(chan->inst, 0x0448, 0xffff0000);
	nvkm_wo32(chan->inst, 0x044c, 0x00000001);
	nvkm_wo32(chan->inst, 0x0460, 0x44400000);
	nvkm_wo32(chan->inst, 0x048c, 0xffff0000);
	for (i = 0x04e0; i < 0x04e8; i += 4)
		nvkm_wo32(chan->inst, i, 0x0fff0000);
	nvkm_wo32(chan->inst, 0x04ec, 0x00011100);
	for (i = 0x0508; i < 0x0548; i += 4)
		nvkm_wo32(chan->inst, i, 0x07ff0000);
	nvkm_wo32(chan->inst, 0x0550, 0x4b7fffff);
	nvkm_wo32(chan->inst, 0x058c, 0x00000080);
	nvkm_wo32(chan->inst, 0x0590, 0x30201000);
	nvkm_wo32(chan->inst, 0x0594, 0x70605040);
	nvkm_wo32(chan->inst, 0x0598, 0xb8a89888);
	nvkm_wo32(chan->inst, 0x059c, 0xf8e8d8c8);
	nvkm_wo32(chan->inst, 0x05b0, 0xb0000000);
	for (i = 0x0600; i < 0x0640; i += 4)
		nvkm_wo32(chan->inst, i, 0x00010588);
	for (i = 0x0640; i < 0x0680; i += 4)
		nvkm_wo32(chan->inst, i, 0x00030303);
	for (i = 0x06c0; i < 0x0700; i += 4)
		nvkm_wo32(chan->inst, i, 0x0008aae4);
	for (i = 0x0700; i < 0x0740; i += 4)
		nvkm_wo32(chan->inst, i, 0x01012000);
	for (i = 0x0740; i < 0x0780; i += 4)
		nvkm_wo32(chan->inst, i, 0x00080008);
	nvkm_wo32(chan->inst, 0x085c, 0x00040000);
	nvkm_wo32(chan->inst, 0x0860, 0x00010000);
	for (i = 0x0864; i < 0x0874; i += 4)
		nvkm_wo32(chan->inst, i, 0x00040004);
	for (i = 0x1f18; i <= 0x3088 ; i += 16) {
		nvkm_wo32(chan->inst, i + 0, 0x10700ff9);
		nvkm_wo32(chan->inst, i + 4, 0x0436086c);
		nvkm_wo32(chan->inst, i + 8, 0x000c001b);
	}
	for (i = 0x30b8; i < 0x30c8; i += 4)
		nvkm_wo32(chan->inst, i, 0x0000ffff);
	nvkm_wo32(chan->inst, 0x344c, 0x3f800000);
	nvkm_wo32(chan->inst, 0x3808, 0x3f800000);
	nvkm_wo32(chan->inst, 0x381c, 0x3f800000);
	nvkm_wo32(chan->inst, 0x3848, 0x40000000);
	nvkm_wo32(chan->inst, 0x384c, 0x3f800000);
	nvkm_wo32(chan->inst, 0x3850, 0x3f000000);

Annotation

Implementation Notes