1 files changed, 2 insertions, 138 deletions

diff --git a/intern/cycles/device/cuda/device_impl.cpp b/intern/cycles/device/cuda/device_impl.cpp
index 37fab8f8293..5e1a63c04df 100644
--- a/intern/cycles/device/cuda/device_impl.cpp
+++ b/intern/cycles/device/cuda/device_impl.cpp
@@ -31,7 +31,6 @@
 #  include "util/util_logging.h"
 #  include "util/util_map.h"
 #  include "util/util_md5.h"
-#  include "util/util_opengl.h"
 #  include "util/util_path.h"
 #  include "util/util_string.h"
 #  include "util/util_system.h"
@@ -837,7 +836,7 @@ void CUDADevice::mem_copy_to(device_memory &mem)
   }
 }
 
-void CUDADevice::mem_copy_from(device_memory &mem, int y, int w, int h, int elem)
+void CUDADevice::mem_copy_from(device_memory &mem, size_t y, size_t w, size_t h, size_t elem)
 {
   if (mem.type == MEM_TEXTURE || mem.type == MEM_GLOBAL) {
     assert(!"mem_copy_from not supported for textures.");
@@ -891,7 +890,7 @@ void CUDADevice::mem_free(device_memory &mem)
   }
 }
 
-device_ptr CUDADevice::mem_alloc_sub_ptr(device_memory &mem, int offset, int /*size*/)
+device_ptr CUDADevice::mem_alloc_sub_ptr(device_memory &mem, size_t offset, size_t /*size*/)
 {
   return (device_ptr)(((char *)mem.device_pointer) + mem.memory_elements_size(offset));
 }
@@ -1169,141 +1168,6 @@ void CUDADevice::tex_free(device_texture &mem)
   }
 }
 
-#  if 0
-void CUDADevice::render(DeviceTask &task,
-                        RenderTile &rtile,
-                        device_vector<KernelWorkTile> &work_tiles)
-{
-  scoped_timer timer(&rtile.buffers->render_time);
-
-  if (have_error())
-    return;
-
-  CUDAContextScope scope(this);
-  CUfunction cuRender;
-
-  /* Get kernel function. */
-  if (rtile.task == RenderTile::BAKE) {
-    cuda_assert(cuModuleGetFunction(&cuRender, cuModule, "kernel_cuda_bake"));
-  }
-  else {
-    cuda_assert(cuModuleGetFunction(&cuRender, cuModule, "kernel_cuda_path_trace"));
-  }
-
-  if (have_error()) {
-    return;
-  }
-
-  cuda_assert(cuFuncSetCacheConfig(cuRender, CU_FUNC_CACHE_PREFER_L1));
-
-  /* Allocate work tile. */
-  work_tiles.alloc(1);
-
-  KernelWorkTile *wtile = work_tiles.data();
-  wtile->x = rtile.x;
-  wtile->y = rtile.y;
-  wtile->w = rtile.w;
-  wtile->h = rtile.h;
-  wtile->offset = rtile.offset;
-  wtile->stride = rtile.stride;
-  wtile->buffer = (float *)(CUdeviceptr)rtile.buffer;
-
-  /* Prepare work size. More step samples render faster, but for now we
-   * remain conservative for GPUs connected to a display to avoid driver
-   * timeouts and display freezing. */
-  int min_blocks, num_threads_per_block;
-  cuda_assert(
-      cuOccupancyMaxPotentialBlockSize(&min_blocks, &num_threads_per_block, cuRender, NULL, 0, 0));
-  if (!info.display_device) {
-    min_blocks *= 8;
-  }
-
-  uint step_samples = divide_up(min_blocks * num_threads_per_block, wtile->w * wtile->h);
-
-  /* Render all samples. */
-  uint start_sample = rtile.start_sample;
-  uint end_sample = rtile.start_sample + rtile.num_samples;
-
-  for (int sample = start_sample; sample < end_sample;) {
-    /* Setup and copy work tile to device. */
-    wtile->start_sample = sample;
-    wtile->num_samples = step_samples;
-    if (task.adaptive_sampling.use) {
-      wtile->num_samples = task.adaptive_sampling.align_samples(sample, step_samples);
-    }
-    wtile->num_samples = min(wtile->num_samples, end_sample - sample);
-    work_tiles.copy_to_device();
-
-    CUdeviceptr d_work_tiles = (CUdeviceptr)work_tiles.device_pointer;
-    uint total_work_size = wtile->w * wtile->h * wtile->num_samples;
-    uint num_blocks = divide_up(total_work_size, num_threads_per_block);
-
-    /* Launch kernel. */
-    void *args[] = {&d_work_tiles, &total_work_size};
-
-    cuda_assert(
-        cuLaunchKernel(cuRender, num_blocks, 1, 1, num_threads_per_block, 1, 1, 0, 0, args, 0));
-
-    /* Run the adaptive sampling kernels at selected samples aligned to step samples. */
-    uint filter_sample = sample + wtile->num_samples - 1;
-    if (task.adaptive_sampling.use && task.adaptive_sampling.need_filter(filter_sample)) {
-      adaptive_sampling_filter(filter_sample, wtile, d_work_tiles);
-    }
-
-    cuda_assert(cuCtxSynchronize());
-
-    /* Update progress. */
-    sample += wtile->num_samples;
-    rtile.sample = sample;
-    task.update_progress(&rtile, rtile.w * rtile.h * wtile->num_samples);
-
-    if (task.get_cancel()) {
-      if (task.need_finish_queue == false)
-        break;
-    }
-  }
-
-  /* Finalize adaptive sampling. */
-  if (task.adaptive_sampling.use) {
-    CUdeviceptr d_work_tiles = (CUdeviceptr)work_tiles.device_pointer;
-    adaptive_sampling_post(rtile, wtile, d_work_tiles);
-    cuda_assert(cuCtxSynchronize());
-    task.update_progress(&rtile, rtile.w * rtile.h * wtile->num_samples);
-  }
-}
-
-void CUDADevice::thread_run(DeviceTask &task)
-{
-  CUDAContextScope scope(this);
-
-  if (task.type == DeviceTask::RENDER) {
-    device_vector<KernelWorkTile> work_tiles(this, "work_tiles", MEM_READ_ONLY);
-
-    /* keep rendering tiles until done */
-    RenderTile tile;
-    DenoisingTask denoising(this, task);
-
-    while (task.acquire_tile(this, tile, task.tile_types)) {
-      if (tile.task == RenderTile::PATH_TRACE) {
-        render(task, tile, work_tiles);
-      }
-      else if (tile.task == RenderTile::BAKE) {
-        render(task, tile, work_tiles);
-      }
-
-      task.release_tile(tile);
-
-      if (task.get_cancel()) {
-        if (task.need_finish_queue == false)
-          break;
-      }
-    }
-
-    work_tiles.free();
-  }
-}
-#  endif
-
 unique_ptr<DeviceQueue> CUDADevice::gpu_queue_create()
 {
   return make_unique<CUDADeviceQueue>(this);