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https://github.com/stevenrobertson/cuburn.git
synced 2025-07-12 03:05:14 -04:00
Palette interpolation on device
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@ -9,7 +9,6 @@ from ctypes import *
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from cStringIO import StringIO
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import numpy as np
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from scipy import ndimage
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import base64
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from fr0stlib import pyflam3
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from fr0stlib.pyflam3._flam3 import *
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@ -142,19 +141,28 @@ class Renderer(object):
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d_genome_knots = cuda.to_device(genome_knots)
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info_size = 4 * len(self._iter.packer) * cps_per_block
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d_infos = cuda.mem_alloc(info_size)
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pals = info.genome.color.palette
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if isinstance(pals, basestring):
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pals = [0.0, pals, 1.0, pals]
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palint_times = np.empty(len(genome_times[0]), np.float32)
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palint_times.fill(100.0)
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palint_times[:len(pals)/2] = pals[::2]
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d_palint_times = cuda.to_device(palint_times)
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d_palint_vals = cuda.to_device(
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np.concatenate(map(info.db.palettes.get, pals[1::2])))
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d_palmem = cuda.mem_alloc(256 * info.palette_height * 4)
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seeds = mwc.MWC.make_seeds(self._iter.NTHREADS * cps_per_block)
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d_seeds = cuda.to_device(seeds)
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h_palmem = cuda.pagelocked_empty(
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(info.palette_height, 256, 4), np.uint8)
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h_out = cuda.pagelocked_empty((info.acc_height, info.acc_stride, 4),
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np.float32)
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filter_done_event = None
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packer_fun = self.mod.get_function("interp_iter_params")
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palette_fun = self.mod.get_function("interp_palette_hsv")
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iter_fun = self.mod.get_function("iter")
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#iter_fun.set_cache_config(cuda.func_cache.PREFER_L1)
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@ -162,18 +170,18 @@ class Renderer(object):
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last_time = times[0][0]
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# TODO: move palette stuff to separate class; do interp
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pal = np.fromstring(base64.b64decode(info.db.palettes.values()[0]),
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np.uint8)
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pal = np.reshape(pal, (256, 3))
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h_palmem[0,:,:3] = pal
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h_palmem[1:] = h_palmem[0]
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for start, stop in times:
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cen_cp = cuburn.genome.HacketyGenome(info.genome, (start+stop)/2)
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# "Interp" already done above, but...
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cuda.memcpy_htod_async(d_palmem, h_palmem, iter_stream)
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if filter_done_event:
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iter_stream.wait_for_event(filter_done_event)
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width = np.float32((stop-start) / info.palette_height)
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palette_fun(d_palmem, d_palint_times, d_palint_vals,
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np.float32(start), width,
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block=(256,1,1), grid=(info.palette_height,1),
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stream=iter_stream)
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tref = self.mod.get_texref('palTex')
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array_info = cuda.ArrayDescriptor()
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array_info.height = info.palette_height
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@ -186,10 +194,6 @@ class Renderer(object):
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tref.set_flags(cuda.TRSF_NORMALIZED_COORDINATES)
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tref.set_filter_mode(cuda.filter_mode.LINEAR)
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if filter_done_event:
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iter_stream.wait_for_event(filter_done_event)
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width = np.float32((stop-start) / cps_per_block)
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packer_fun(d_infos, d_genome_times, d_genome_knots,
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np.float32(start), width, d_seeds,
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