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a wide range of use cases.  These include enhancement\nof externally sourced images (i.e., camera image enhancement),  post processing of GPU-rendered\ngame content, image scaling, and image analysis (i.e., motion vector generation).  For common use cases,\nthe existing texture built-ins combined with bilinear\u002Fbicubic filtering work well.  In other cases,\nhigher-order filtering kernels or advanced image algorithms are required.",{"type":2200,"tag":2201,"props":2219,"children":2220},{},[2221],{"type":2205,"value":2222},"While such algorithms could be implemented in shader code generically using existing texture\nbuilt-in functions, it requires many round-trips between the texture unit and shader unit.\nThe latest Adreno GPUs have dedicated HW shader instructions for such image processing tasks,\nenabling advanced functionality with simplified shader code.   For some use cases, significant\nperformance and power savings are possible using dedicated texture sampling instructions.",{"type":2200,"tag":2207,"props":2224,"children":2226},{"id":2225},"_solution_space",[2227],{"type":2205,"value":2228},"Solution Space",{"type":2200,"tag":2201,"props":2230,"children":2231},{},[2232],{"type":2205,"value":2233},"Adreno GPUs have native support for multiple image processing instructions:",{"type":2200,"tag":2235,"props":2236,"children":2237},"ul",{},[2238,2244,2249],{"type":2200,"tag":2239,"props":2240,"children":2241},"li",{},[2242],{"type":2205,"value":2243},"High-order (up to 64x64 kernel) filters with application-supplied weights, and sub-texel phasing support",{"type":2200,"tag":2239,"props":2245,"children":2246},{},[2247],{"type":2205,"value":2248},"High-order (up to 64x64) box filtering with HW-computed weights, and fractional box sizes",{"type":2200,"tag":2239,"props":2250,"children":2251},{},[2252],{"type":2205,"value":2253},"Block Matching (up to 64x64) pixel regions across images",{"type":2200,"tag":2201,"props":2255,"children":2256},{},[2257],{"type":2205,"value":2258},"These capabilities are currently not exposed in Vulkan.  Exposing these instructions would\nprovide a significant increase in functionality beyond current SPIR-V texture built-ins.\nAdreno GPUs exposing this extension perform the above algorithms fully inside the texture\nunit, saving shader instructions cycles, memory bandwidth, and shader register space.",{"type":2200,"tag":2207,"props":2260,"children":2262},{"id":2261},"_proposal",[2263],{"type":2205,"value":2264},"Proposal",{"type":2200,"tag":2201,"props":2266,"children":2267},{},[2268],{"type":2205,"value":2269},"The extension exposes support for 3 new SPIR-V instructions:",{"type":2200,"tag":2235,"props":2271,"children":2272},{},[2273,2343,2362],{"type":2200,"tag":2239,"props":2274,"children":2275},{},[2276,2283,2285,2291,2293,2298,2300,2304,2306,2310,2312],{"type":2200,"tag":2277,"props":2278,"children":2280},"code",{"className":2279},[],[2281],{"type":2205,"value":2282},"OpImageWeightedSampleQCOM",{"type":2205,"value":2284},": This instruction performs a weighted texture sampling\noperation involving two images: the ",{"type":2200,"tag":2286,"props":2287,"children":2288},"em",{},[2289],{"type":2205,"value":2290},"sampled image",{"type":2205,"value":2292}," and the ",{"type":2200,"tag":2286,"props":2294,"children":2295},{},[2296],{"type":2205,"value":2297},"weight image",{"type":2205,"value":2299},".  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Large filter\nsizes up to 64x64 taps enable important use cases like edge-detection, feature extraction,\nand anti-aliasing.",{"type":2200,"tag":2235,"props":2313,"children":2314},{},[2315,2332],{"type":2200,"tag":2239,"props":2316,"children":2317},{},[2318,2324,2326,2330],{"type":2200,"tag":2277,"props":2319,"children":2321},{"className":2320},[],[2322],{"type":2205,"value":2323},"Sub-pixel Weighting",{"type":2205,"value":2325},":  Frequently the texture coordinates will not align with a texel center in the ",{"type":2200,"tag":2286,"props":2327,"children":2328},{},[2329],{"type":2205,"value":2290},{"type":2205,"value":2331},", and in such cases the kernel weights can be adjusted to reflect the sub-texel sample location.  Sub-texel weighting is supported, where the texel is subdivided into PxP sub-texels, called \"phases\", with unique weights per-phase.  Adreno GPUs support up to 32x32 phases.",{"type":2200,"tag":2239,"props":2333,"children":2334},{},[2335,2341],{"type":2200,"tag":2277,"props":2336,"children":2338},{"className":2337},[],[2339],{"type":2205,"value":2340},"Separable-filters",{"type":2205,"value":2342},": Many common 2D image filtering kernels can be expressed as a mathematically equivalent 1D separable kernel.  Separable filters offer significant performance\u002Fpower savings over their non-separable equivalent.  This instruction supports both separable and non-separable filtering kernels.",{"type":2200,"tag":2239,"props":2344,"children":2345},{},[2346,2352,2354,2360],{"type":2200,"tag":2277,"props":2347,"children":2349},{"className":2348},[],[2350],{"type":2205,"value":2351},"OpImageBoxFilterQCOM",{"type":2205,"value":2353},": This instruction performs weighted average of the texels within a screen-aligned box.  The operation is similar to bi-linear filtering, except the region of texels is not limited to 2x2. The instruction includes a ",{"type":2200,"tag":2277,"props":2355,"children":2357},{"className":2356},[],[2358],{"type":2205,"value":2359},"BoxSize",{"type":2205,"value":2361}," parameter, with fractional box sizes up to [64.0, 64.0].  Similar to bi-linear filtering, the implementation computes a weighted average for all texels covered by the box, with the weight for each texel proportional covered area. Large box sizes up to 64x64 enable important use cases like bulk mipmap generation and high quality single-pass image down-scaling with arbitrary scaling ratios (e.g. thumbnail generation).",{"type":2200,"tag":2239,"props":2363,"children":2364},{},[2365,2371,2373,2379,2381,2386,2387,2392,2394,2400,2402,2406,2408,2412],{"type":2200,"tag":2277,"props":2366,"children":2368},{"className":2367},[],[2369],{"type":2205,"value":2370},"opImageBlockMatchSAD",{"type":2205,"value":2372}," and ",{"type":2200,"tag":2277,"props":2374,"children":2376},{"className":2375},[],[2377],{"type":2205,"value":2378},"opImageBlockMatchSSD",{"type":2205,"value":2380},": These instructions perform a block matching operation involving two images: the ",{"type":2200,"tag":2286,"props":2382,"children":2383},{},[2384],{"type":2205,"value":2385},"target image",{"type":2205,"value":2372},{"type":2200,"tag":2286,"props":2388,"children":2389},{},[2390],{"type":2205,"value":2391},"reference image",{"type":2205,"value":2393},".   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Expressed as a formula,\nthe layer index for each filter phase is computed as:",{"type":2200,"tag":3314,"props":5699,"children":5701},{"className":3316,"code":5700,"language":3318,"meta":3319,"style":3319},"layerIndex(horizPhase,vertPhase,horizPhaseCount) = (vertPhase * horizPhaseCount) + horizPhase\n",[5702],{"type":2200,"tag":2277,"props":5703,"children":5704},{"__ignoreMap":3319},[5705],{"type":2200,"tag":3325,"props":5706,"children":5707},{"class":3327,"line":10},[5708,5713,5718,5722,5727,5732,5737,5741],{"type":2200,"tag":3325,"props":5709,"children":5710},{"style":3385},[5711],{"type":2205,"value":5712},"layerIndex",{"type":2200,"tag":3325,"props":5714,"children":5715},{"style":3345},[5716],{"type":2205,"value":5717},"(horizPhase,vertPhase,horizPhaseCount) ",{"type":2200,"tag":3325,"props":5719,"children":5720},{"style":3331},[5721],{"type":2205,"value":5299},{"type":2200,"tag":3325,"props":5723,"children":5724},{"style":3345},[5725],{"type":2205,"value":5726}," (vertPhase ",{"type":2200,"tag":3325,"props":5728,"children":5729},{"style":3331},[5730],{"type":2205,"value":5731},"*",{"type":2200,"tag":3325,"props":5733,"children":5734},{"style":3345},[5735],{"type":2205,"value":5736}," horizPhaseCount) ",{"type":2200,"tag":3325,"props":5738,"children":5739},{"style":3331},[5740],{"type":2205,"value":5386},{"type":2200,"tag":3325,"props":5742,"children":5743},{"style":3345},[5744],{"type":2205,"value":5745}," horizPhase\n",{"type":2200,"tag":2201,"props":5747,"children":5748},{},[5749,5751,5757,5759,5765,5767,5772,5774,5779,5781,5787,5788,5794,5796,5802,5804,5810],{"type":2205,"value":5750},"For each layer, the weights are specified by the value in texels [0, 0] to\n[",{"type":2200,"tag":2277,"props":5752,"children":5754},{"className":5753},[],[5755],{"type":2205,"value":5756},"filterSize.width",{"type":2205,"value":5758},"-1, ",{"type":2200,"tag":2277,"props":5760,"children":5762},{"className":5761},[],[5763],{"type":2205,"value":5764},"filterSize.height",{"type":2205,"value":5766},"-1].\nWhile is valid for the view’s VkImage to have width\u002Fheight larger than ",{"type":2200,"tag":2277,"props":5768,"children":5770},{"className":5769},[],[5771],{"type":2205,"value":5253},{"type":2205,"value":5773},",\nimage texels with integer coordinates greater than or equal to ",{"type":2200,"tag":2277,"props":5775,"children":5777},{"className":5776},[],[5778],{"type":2205,"value":5253},{"type":2205,"value":5780},"\nare ignored by weight sampling.  Image property query instructions ",{"type":2200,"tag":2277,"props":5782,"children":5784},{"className":5783},[],[5785],{"type":2205,"value":5786},"OpImageQuerySize",{"type":2205,"value":5107},{"type":2200,"tag":2277,"props":5789,"children":5791},{"className":5790},[],[5792],{"type":2205,"value":5793},"OpImageQuerySizeLod",{"type":2205,"value":5795},", ",{"type":2200,"tag":2277,"props":5797,"children":5799},{"className":5798},[],[5800],{"type":2205,"value":5801},"OpImageQueryLevels",{"type":2205,"value":5803},", and ",{"type":2200,"tag":2277,"props":5805,"children":5807},{"className":5806},[],[5808],{"type":2205,"value":5809},"OpImageQuerySamples",{"type":2205,"value":5811}," return undefined\nvalues for a weight image descriptor.",{"type":2200,"tag":5476,"props":5813,"children":5815},{"id":5814},"_separable_weight_encoding",[5816],{"type":2205,"value":5817},"Separable Weight Encoding",{"type":2200,"tag":2201,"props":5819,"children":5820},{},[5821],{"type":2205,"value":5822},"For a separable weight filtering, the view will be type VK_IMAGE_VIEW_TYPE_1D_ARRAY.\nHorizontal weights for all phases are packed in layer '0' and the vertical weights for\nall phases are packed in layer '1'.  Within each layer, the weights are arranged into\ngroups of 4.  For each group, the weights are ordered by phase. Expressed as a\nformula, the 1D texel offset for all weights and phases within each layer is computed as:",{"type":2200,"tag":3314,"props":5824,"children":5826},{"className":3316,"code":5825,"language":3318,"meta":3319,"style":3319},"\u002F\u002F Let horizontal weights have a weightIndex of [0, filterSize.width - 1]\n\u002F\u002F Let vertical weights have a weightIndex of [0, filterSize.height - 1]\n\u002F\u002F Let phaseCount be the number of phases in either the vertical or horizontal direction.\n\ntexelOffset(phaseIndex,weightIndex,phaseCount) = (phaseCount * 4 * (weightIndex \u002F 4)) + (phaseIndex * 4) + (weightIndex % 4)\n",[5827],{"type":2200,"tag":2277,"props":5828,"children":5829},{"__ignoreMap":3319},[5830,5838,5846,5854,5861],{"type":2200,"tag":3325,"props":5831,"children":5832},{"class":3327,"line":10},[5833],{"type":2200,"tag":3325,"props":5834,"children":5835},{"style":5275},[5836],{"type":2205,"value":5837},"\u002F\u002F Let horizontal weights have a weightIndex of [0, filterSize.width - 1]\n",{"type":2200,"tag":3325,"props":5839,"children":5840},{"class":3327,"line":14},[5841],{"type":2200,"tag":3325,"props":5842,"children":5843},{"style":5275},[5844],{"type":2205,"value":5845},"\u002F\u002F Let vertical weights have a weightIndex of [0, filterSize.height - 1]\n",{"type":2200,"tag":3325,"props":5847,"children":5848},{"class":3327,"line":18},[5849],{"type":2200,"tag":3325,"props":5850,"children":5851},{"style":5275},[5852],{"type":2205,"value":5853},"\u002F\u002F Let phaseCount be the number of phases in either the vertical or horizontal direction.\n",{"type":2200,"tag":3325,"props":5855,"children":5856},{"class":3327,"line":22},[5857],{"type":2200,"tag":3325,"props":5858,"children":5859},{"emptyLinePlaceholder":244},[5860],{"type":2205,"value":5356},{"type":2200,"tag":3325,"props":5862,"children":5863},{"class":3327,"line":26},[5864,5869,5874,5878,5883,5887,5892,5897,5902,5907,5911,5916,5920,5925,5929,5933,5938,5942,5946,5951,5955],{"type":2200,"tag":3325,"props":5865,"children":5866},{"style":3385},[5867],{"type":2205,"value":5868},"texelOffset",{"type":2200,"tag":3325,"props":5870,"children":5871},{"style":3345},[5872],{"type":2205,"value":5873},"(phaseIndex,weightIndex,phaseCount) ",{"type":2200,"tag":3325,"props":5875,"children":5876},{"style":3331},[5877],{"type":2205,"value":5299},{"type":2200,"tag":3325,"props":5879,"children":5880},{"style":3345},[5881],{"type":2205,"value":5882}," (phaseCount ",{"type":2200,"tag":3325,"props":5884,"children":5885},{"style":3331},[5886],{"type":2205,"value":5731},{"type":2200,"tag":3325,"props":5888,"children":5889},{"style":5398},[5890],{"type":2205,"value":5891}," 4",{"type":2200,"tag":3325,"props":5893,"children":5894},{"style":3331},[5895],{"type":2205,"value":5896}," *",{"type":2200,"tag":3325,"props":5898,"children":5899},{"style":3345},[5900],{"type":2205,"value":5901}," (weightIndex ",{"type":2200,"tag":3325,"props":5903,"children":5904},{"style":3331},[5905],{"type":2205,"value":5906},"\u002F",{"type":2200,"tag":3325,"props":5908,"children":5909},{"style":5398},[5910],{"type":2205,"value":5891},{"type":2200,"tag":3325,"props":5912,"children":5913},{"style":3345},[5914],{"type":2205,"value":5915},")) ",{"type":2200,"tag":3325,"props":5917,"children":5918},{"style":3331},[5919],{"type":2205,"value":5386},{"type":2200,"tag":3325,"props":5921,"children":5922},{"style":3345},[5923],{"type":2205,"value":5924}," (phaseIndex ",{"type":2200,"tag":3325,"props":5926,"children":5927},{"style":3331},[5928],{"type":2205,"value":5731},{"type":2200,"tag":3325,"props":5930,"children":5931},{"style":5398},[5932],{"type":2205,"value":5891},{"type":2200,"tag":3325,"props":5934,"children":5935},{"style":3345},[5936],{"type":2205,"value":5937},") ",{"type":2200,"tag":3325,"props":5939,"children":5940},{"style":3331},[5941],{"type":2205,"value":5386},{"type":2200,"tag":3325,"props":5943,"children":5944},{"style":3345},[5945],{"type":2205,"value":5901},{"type":2200,"tag":3325,"props":5947,"children":5948},{"style":3331},[5949],{"type":2205,"value":5950},"%",{"type":2200,"tag":3325,"props":5952,"children":5953},{"style":5398},[5954],{"type":2205,"value":5891},{"type":2200,"tag":3325,"props":5956,"children":5957},{"style":3345},[5958],{"type":2205,"value":5959},")\n",{"type":2200,"tag":2425,"props":5961,"children":5963},{"id":5962},"_box_filter_sampling",[5964],{"type":2205,"value":5965},"Box Filter Sampling",{"type":2200,"tag":2201,"props":5967,"children":5968},{},[5969,5970,5975,5976,5980,5981,5986,5988,5992,5994,5998],{"type":2205,"value":4915},{"type":2200,"tag":2277,"props":5971,"children":5973},{"className":5972},[],[5974],{"type":2205,"value":2351},{"type":2205,"value":5101},{"type":2200,"tag":2286,"props":5977,"children":5978},{},[5979],{"type":2205,"value":2290},{"type":2205,"value":5107},{"type":2200,"tag":2286,"props":5982,"children":5983},{},[5984],{"type":2205,"value":5985},"box size",{"type":2205,"value":5987},", and texture coordinates.  Note that ",{"type":2200,"tag":2286,"props":5989,"children":5990},{},[5991],{"type":2205,"value":5985},{"type":2205,"value":5993}," specifies a floating-point\nwidth and height in texels.  The instruction computes a weighted average of all texels\nin the ",{"type":2200,"tag":2286,"props":5995,"children":5996},{},[5997],{"type":2205,"value":2290},{"type":2205,"value":5999}," that are covered (either partially or fully) by a box with\nthe specified size and centered at the specified texture coordinates.",{"type":2200,"tag":2201,"props":6001,"children":6002},{},[6003],{"type":2205,"value":6004},"For each texel covered by the box, a weight value is computed by the implementation.\nThe weight is proportional to the area of the texel covered.  Those texels that are\nfully covered by the box receive a weight of 1.0.  Those texels that are partially\ncovered by the box receive a weight proportional to the covered area.  For example,\na texel that has one quarter of its area covered by the box will receive a\nweight of 0.25.",{"type":2200,"tag":2201,"props":6006,"children":6007},{},[6008,6009,6014,6015,6020,6022,6026],{"type":2205,"value":5440},{"type":2200,"tag":2277,"props":6010,"children":6012},{"className":6011},[],[6013],{"type":2205,"value":5446},{"type":2205,"value":5448},{"type":2200,"tag":2277,"props":6016,"children":6018},{"className":6017},[],[6019],{"type":2205,"value":5454},{"type":2205,"value":6021}," then the\nvalue of each covered texel is multiplied by the weight, and the resulting weighted\naverage is summed for each component across all covered texels.  The resulting sum\nis then divided by the ",{"type":2200,"tag":2286,"props":6023,"children":6024},{},[6025],{"type":2205,"value":5985},{"type":2205,"value":6027}," area.",{"type":2200,"tag":2201,"props":6029,"children":6030},{},[6031,6032,6037],{"type":2205,"value":5440},{"type":2200,"tag":2277,"props":6033,"children":6035},{"className":6034},[],[6036],{"type":2205,"value":5446},{"type":2205,"value":6038}," is VK_SAMPLER_REDUCTION_MODE_MIN or VK_SAMPLER_REDUCTION_MODE_MAX,\na component-wise minimum or maximum is computed, for all texels covered by the box,\nincluding texels that are partially covered.",{"type":2200,"tag":2425,"props":6040,"children":6042},{"id":6041},"_block_matching_sampling",[6043],{"type":2205,"value":6044},"Block Matching Sampling",{"type":2200,"tag":2201,"props":6046,"children":6047},{},[6048,6049,6054,6055,6060,6062,6066,6067,6072,6073,6077,6078,6083,6084,6089,6091,6095,6097,6101,6103,6108,6110,6115],{"type":2205,"value":4915},{"type":2200,"tag":2277,"props":6050,"children":6052},{"className":6051},[],[6053],{"type":2205,"value":2747},{"type":2205,"value":2372},{"type":2200,"tag":2277,"props":6056,"children":6058},{"className":6057},[],[6059],{"type":2205,"value":2932},{"type":2205,"value":6061}," instructions\neach takes 5 operands: ",{"type":2200,"tag":2286,"props":6063,"children":6064},{},[6065],{"type":2205,"value":2385},{"type":2205,"value":5795},{"type":2200,"tag":2286,"props":6068,"children":6069},{},[6070],{"type":2205,"value":6071},"target coordinates",{"type":2205,"value":5795},{"type":2200,"tag":2286,"props":6074,"children":6075},{},[6076],{"type":2205,"value":2391},{"type":2205,"value":5107},{"type":2200,"tag":2286,"props":6079,"children":6080},{},[6081],{"type":2205,"value":6082},"reference coordinates",{"type":2205,"value":5803},{"type":2200,"tag":2286,"props":6085,"children":6086},{},[6087],{"type":2205,"value":6088},"block size",{"type":2205,"value":6090},".  Each instruction computes an error\nmetric, that describes whether a block of texels in the ",{"type":2200,"tag":2286,"props":6092,"children":6093},{},[6094],{"type":2205,"value":2385},{"type":2205,"value":6096}," matches\na corresponding block of texels in the ",{"type":2200,"tag":2286,"props":6098,"children":6099},{},[6100],{"type":2205,"value":2391},{"type":2205,"value":6102},".  The error metric\nis computed per-component.  ",{"type":2200,"tag":2277,"props":6104,"children":6106},{"className":6105},[],[6107],{"type":2205,"value":2747},{"type":2205,"value":6109}," computes \"Sum Of Absolute\nDifference\" and ",{"type":2200,"tag":2277,"props":6111,"children":6113},{"className":6112},[],[6114],{"type":2205,"value":2932},{"type":2205,"value":6116}," computes \"Sum of Squared Difference\",\nbut otherwise both instructions are similar.",{"type":2200,"tag":2201,"props":6118,"children":6119},{},[6120,6122,6126,6127,6131,6133,6137,6138,6142,6144,6148,6150,6155,6157,6162],{"type":2205,"value":6121},"Both ",{"type":2200,"tag":2286,"props":6123,"children":6124},{},[6125],{"type":2205,"value":6071},{"type":2205,"value":2372},{"type":2200,"tag":2286,"props":6128,"children":6129},{},[6130],{"type":2205,"value":6082},{"type":2205,"value":6132}," are integer texel coordinates\nof the lower-left texel of the block to be matched in the ",{"type":2200,"tag":2286,"props":6134,"children":6135},{},[6136],{"type":2205,"value":2385},{"type":2205,"value":5605},{"type":2200,"tag":2286,"props":6139,"children":6140},{},[6141],{"type":2205,"value":2391},{"type":2205,"value":6143}," respectively.\nThe ",{"type":2200,"tag":2286,"props":6145,"children":6146},{},[6147],{"type":2205,"value":6088},{"type":2205,"value":6149}," provides the height and width in integer texels of the regions to\nbe matched and must be greater than 0 or ",{"type":2200,"tag":2286,"props":6151,"children":6152},{},[6153],{"type":2205,"value":6154},"result",{"type":2205,"value":6156}," will contain an ",{"type":2200,"tag":2286,"props":6158,"children":6159},{},[6160],{"type":2205,"value":6161},"undefined value",{"type":2205,"value":4225},{"type":2200,"tag":2201,"props":6164,"children":6165},{},[6166,6168,6172,6174,6178,6179,6183,6185,6189,6191,6196,6197,6202,6204,6208,6210,6215],{"type":2205,"value":6167},"Note that the coordinates and ",{"type":2200,"tag":2286,"props":6169,"children":6170},{},[6171],{"type":2205,"value":6088},{"type":2205,"value":6173}," may result in a region that extends\nbeyond the bounds of ",{"type":2200,"tag":2286,"props":6175,"children":6176},{},[6177],{"type":2205,"value":2385},{"type":2205,"value":4631},{"type":2200,"tag":2286,"props":6180,"children":6181},{},[6182],{"type":2205,"value":2391},{"type":2205,"value":6184},".  For ",{"type":2200,"tag":2286,"props":6186,"children":6187},{},[6188],{"type":2205,"value":2385},{"type":2205,"value":6190},",\nthis is valid and the  sampler ",{"type":2200,"tag":2277,"props":6192,"children":6194},{"className":6193},[],[6195],{"type":2205,"value":4613},{"type":2205,"value":2372},{"type":2200,"tag":2277,"props":6198,"children":6200},{"className":6199},[],[6201],{"type":2205,"value":4621},{"type":2205,"value":6203}," will determine\nthe value of such texels.   For ",{"type":2200,"tag":2286,"props":6205,"children":6206},{},[6207],{"type":2205,"value":2391},{"type":2205,"value":6209}," case this will result in undefined\nvalues returned.  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If any descriptor accessed by these\ninstructions is not bound, undefined results will occur.",{"type":2200,"tag":2425,"props":7323,"children":7325},{"id":7324},"_how_does_this_interact_with_push_descriptors",[7326],{"type":2205,"value":7327},"How does this interact with push descriptors ?",{"type":2200,"tag":2201,"props":7329,"children":7330},{},[7331],{"type":2205,"value":7332},"The descriptors added by this extension can be updated using vkCmdPushDescriptors",{"type":2200,"tag":7334,"props":7335,"children":7336},"style",{},[7337],{"type":2205,"value":7338},"html .default .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}html.dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}",{"title":3319,"searchDepth":14,"depth":14,"links":7340},[7341,7342,7343,7355,7356],{"id":2209,"depth":14,"text":2212},{"id":2225,"depth":14,"text":2228},{"id":2261,"depth":14,"text":2264,"children":7344},[7345,7346,7347,7348,7349,7350,7351,7352,7353,7354],{"id":2427,"depth":18,"text":2430},{"id":3304,"depth":18,"text":3307},{"id":4206,"depth":18,"text":4209},{"id":4510,"depth":18,"text":4513},{"id":4684,"depth":18,"text":4687},{"id":4748,"depth":18,"text":4751},{"id":4841,"depth":18,"text":4844},{"id":5087,"depth":18,"text":5090},{"id":5962,"depth":18,"text":5965},{"id":6041,"depth":18,"text":6044},{"id":6321,"depth":14,"text":6324},{"id":7280,"depth":14,"text":7283,"children":7357},[7358,7359,7360,7361],{"id":7286,"depth":18,"text":7289},{"id":7297,"depth":18,"text":7300},{"id":7313,"depth":18,"text":7316},{"id":7324,"depth":18,"text":7327},"markdown",1789651856640]