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android / platform / hardware / google / gfxstream / 60a1cfd8f845b6059e9bdeb40571887b5359d0a9 / . / third-party / astc-encoder / Source / astcenc_compress_symbolic.cpp
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// SPDX-License-Identifier: Apache-2.0
// ----------------------------------------------------------------------------
// Copyright 2011-2022 Arm Limited
//
// Licensed under the Apache License, Version 2.0 (the "License"); you may not
// use this file except in compliance with the License. You may obtain a copy
// of the License at:
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
// WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
// License for the specific language governing permissions and limitations
// under the License.
// ----------------------------------------------------------------------------
#if !defined(ASTCENC_DECOMPRESS_ONLY)
/**
* @brief Functions to compress a symbolic block.
*/
#include "astcenc_internal.h"
#include "astcenc_diagnostic_trace.h"
#include <cassert>
/**
* @brief Merge two planes of endpoints into a single vector.
*
* @param ep_plane1 The endpoints for plane 1.
* @param ep_plane2 The endpoints for plane 2.
* @param component_plane2 The color component for plane 2.
* @param[out] result The merged output.
*/
static void merge_endpoints(
const endpoints& ep_plane1,
const endpoints& ep_plane2,
unsigned int component_plane2,
endpoints& result
) {
unsigned int partition_count = ep_plane1.partition_count;
assert(partition_count == 1);
vmask4 sep_mask = vint4::lane_id() == vint4(component_plane2);
result.partition_count = partition_count;
result.endpt0[0] = select(ep_plane1.endpt0[0], ep_plane2.endpt0[0], sep_mask);
result.endpt1[0] = select(ep_plane1.endpt1[0], ep_plane2.endpt1[0], sep_mask);
}
/**
* @brief Attempt to improve weights given a chosen configuration.
*
* Given a fixed weight grid decimation and weight value quantization, iterate over all weights (per
* partition and per plane) and attempt to improve image quality by moving each weight up by one or
* down by one quantization step.
*
* This is a specialized function which only supports operating on undecimated weight grids,
* therefore primarily improving the performance of 4x4 and 5x5 blocks where grid decimation
* is needed less often.
*
* @param decode_mode The decode mode (LDR, HDR).
* @param bsd The block size information.
* @param blk The image block color data to compress.
* @param[out] scb The symbolic compressed block output.
*/
static bool realign_weights_undecimated(
astcenc_profile decode_mode,
const block_size_descriptor& bsd,
const image_block& blk,
symbolic_compressed_block& scb
) {
// Get the partition descriptor
unsigned int partition_count = scb.partition_count;
const auto& pi = bsd.get_partition_info(partition_count, scb.partition_index);
// Get the quantization table
const block_mode& bm = bsd.get_block_mode(scb.block_mode);
unsigned int weight_quant_level = bm.quant_mode;
const quant_and_transfer_table& qat = quant_and_xfer_tables[weight_quant_level];
unsigned int max_plane = bm.is_dual_plane;
int plane2_component = bm.is_dual_plane ? scb.plane2_component : -1;
vmask4 plane_mask = vint4::lane_id() == vint4(plane2_component);
// Decode the color endpoints
bool rgb_hdr;
bool alpha_hdr;
vint4 endpnt0[BLOCK_MAX_PARTITIONS];
vint4 endpnt1[BLOCK_MAX_PARTITIONS];
vfloat4 endpnt0f[BLOCK_MAX_PARTITIONS];
vfloat4 offset[BLOCK_MAX_PARTITIONS];
promise(partition_count > 0);
for (unsigned int pa_idx = 0; pa_idx < partition_count; pa_idx++)
{
unpack_color_endpoints(decode_mode,
scb.color_formats[pa_idx],
scb.get_color_quant_mode(),
scb.color_values[pa_idx],
rgb_hdr, alpha_hdr,
endpnt0[pa_idx],
endpnt1[pa_idx]);
}
uint8_t* dec_weights_uquant = scb.weights;
bool adjustments = false;
// For each plane and partition ...
for (unsigned int pl_idx = 0; pl_idx <= max_plane; pl_idx++)
{
for (unsigned int pa_idx = 0; pa_idx < partition_count; pa_idx++)
{
// Compute the endpoint delta for all components in current plane
vint4 epd = endpnt1[pa_idx] - endpnt0[pa_idx];
epd = select(epd, vint4::zero(), plane_mask);
endpnt0f[pa_idx] = int_to_float(endpnt0[pa_idx]);
offset[pa_idx] = int_to_float(epd) * (1.0f / 64.0f);
}
// For each weight compute previous, current, and next errors
promise(bsd.texel_count > 0);
for (unsigned int texel = 0; texel < bsd.texel_count; texel++)
{
int uqw = dec_weights_uquant[texel];
uint32_t prev_and_next = qat.prev_next_values[uqw];
int uqw_down = prev_and_next & 0xFF;
int uqw_up = (prev_and_next >> 8) & 0xFF;
// Interpolate the colors to create the diffs
float weight_base = static_cast<float>(uqw);
float weight_down = static_cast<float>(uqw_down - uqw);
float weight_up = static_cast<float>(uqw_up - uqw);
unsigned int partition = pi.partition_of_texel[texel];
vfloat4 color_offset = offset[partition];
vfloat4 color_base = endpnt0f[partition];
vfloat4 color = color_base + color_offset * weight_base;
vfloat4 orig_color = blk.texel(texel);
vfloat4 error_weight = blk.channel_weight;
vfloat4 color_diff = color - orig_color;
vfloat4 color_diff_down = color_diff + color_offset * weight_down;
vfloat4 color_diff_up = color_diff + color_offset * weight_up;
float error_base = dot_s(color_diff * color_diff, error_weight);
float error_down = dot_s(color_diff_down * color_diff_down, error_weight);
float error_up = dot_s(color_diff_up * color_diff_up, error_weight);
// Check if the prev or next error is better, and if so use it
if ((error_up < error_base) && (error_up < error_down) && (uqw < 64))
{
dec_weights_uquant[texel] = static_cast<uint8_t>(uqw_up);
adjustments = true;
}
else if ((error_down < error_base) && (uqw > 0))
{
dec_weights_uquant[texel] = static_cast<uint8_t>(uqw_down);
adjustments = true;
}
}
// Prepare iteration for plane 2
dec_weights_uquant += WEIGHTS_PLANE2_OFFSET;
plane_mask = ~plane_mask;
}
return adjustments;
}
/**
* @brief Attempt to improve weights given a chosen configuration.
*
* Given a fixed weight grid decimation and weight value quantization, iterate over all weights (per
* partition and per plane) and attempt to improve image quality by moving each weight up by one or
* down by one quantization step.
*
* @param decode_mode The decode mode (LDR, HDR).
* @param bsd The block size information.
* @param blk The image block color data to compress.
* @param[out] scb The symbolic compressed block output.
*/
static bool realign_weights_decimated(
astcenc_profile decode_mode,
const block_size_descriptor& bsd,
const image_block& blk,
symbolic_compressed_block& scb
) {
// Get the partition descriptor
unsigned int partition_count = scb.partition_count;
const auto& pi = bsd.get_partition_info(partition_count, scb.partition_index);
// Get the quantization table
const block_mode& bm = bsd.get_block_mode(scb.block_mode);
unsigned int weight_quant_level = bm.quant_mode;
const quant_and_transfer_table& qat = quant_and_xfer_tables[weight_quant_level];
// Get the decimation table
const decimation_info& di = bsd.get_decimation_info(bm.decimation_mode);
unsigned int weight_count = di.weight_count;
assert(weight_count != bsd.texel_count);
unsigned int max_plane = bm.is_dual_plane;
int plane2_component = bm.is_dual_plane ? scb.plane2_component : -1;
vmask4 plane_mask = vint4::lane_id() == vint4(plane2_component);
// Decode the color endpoints
bool rgb_hdr;
bool alpha_hdr;
vint4 endpnt0[BLOCK_MAX_PARTITIONS];
vint4 endpnt1[BLOCK_MAX_PARTITIONS];
vfloat4 endpnt0f[BLOCK_MAX_PARTITIONS];
vfloat4 offset[BLOCK_MAX_PARTITIONS];
promise(partition_count > 0);
promise(weight_count > 0);
for (unsigned int pa_idx = 0; pa_idx < partition_count; pa_idx++)
{
unpack_color_endpoints(decode_mode,
scb.color_formats[pa_idx],
scb.get_color_quant_mode(),
scb.color_values[pa_idx],
rgb_hdr, alpha_hdr,
endpnt0[pa_idx],
endpnt1[pa_idx]);
}
uint8_t* dec_weights_uquant = scb.weights;
bool adjustments = false;
// For each plane and partition ...
for (unsigned int pl_idx = 0; pl_idx <= max_plane; pl_idx++)
{
for (unsigned int pa_idx = 0; pa_idx < partition_count; pa_idx++)
{
// Compute the endpoint delta for all components in current plane
vint4 epd = endpnt1[pa_idx] - endpnt0[pa_idx];
epd = select(epd, vint4::zero(), plane_mask);
endpnt0f[pa_idx] = int_to_float(endpnt0[pa_idx]);
offset[pa_idx] = int_to_float(epd) * (1.0f / 64.0f);
}
// Create an unquantized weight grid for this decimation level
alignas(ASTCENC_VECALIGN) float uq_weightsf[BLOCK_MAX_WEIGHTS];
for (unsigned int we_idx = 0; we_idx < weight_count; we_idx += ASTCENC_SIMD_WIDTH)
{
vint unquant_value(dec_weights_uquant + we_idx);
vfloat unquant_valuef = int_to_float(unquant_value);
storea(unquant_valuef, uq_weightsf + we_idx);
}
// For each weight compute previous, current, and next errors
for (unsigned int we_idx = 0; we_idx < weight_count; we_idx++)
{
int uqw = dec_weights_uquant[we_idx];
uint32_t prev_and_next = qat.prev_next_values[uqw];
float uqw_base = uq_weightsf[we_idx];
float uqw_down = static_cast<float>(prev_and_next & 0xFF);
float uqw_up = static_cast<float>((prev_and_next >> 8) & 0xFF);
float uqw_diff_down = uqw_down - uqw_base;
float uqw_diff_up = uqw_up - uqw_base;
vfloat4 error_basev = vfloat4::zero();
vfloat4 error_downv = vfloat4::zero();
vfloat4 error_upv = vfloat4::zero();
// Interpolate the colors to create the diffs
unsigned int texels_to_evaluate = di.weight_texel_count[we_idx];
promise(texels_to_evaluate > 0);
for (unsigned int te_idx = 0; te_idx < texels_to_evaluate; te_idx++)
{
unsigned int texel = di.weight_texel[te_idx][we_idx];
const uint8_t *texel_weights = di.texel_weights_texel[we_idx][te_idx];
const float *texel_weights_float = di.texel_weights_float_texel[we_idx][te_idx];
float tw_base = texel_weights_float[0];
float weight_base = (uqw_base * tw_base
+ uq_weightsf[texel_weights[1]] * texel_weights_float[1])
+ (uq_weightsf[texel_weights[2]] * texel_weights_float[2]
+ uq_weightsf[texel_weights[3]] * texel_weights_float[3]);
// Ideally this is integer rounded, but IQ gain it isn't worth the overhead
// float weight = astc::flt_rd(weight_base + 0.5f);
// float weight_down = astc::flt_rd(weight_base + 0.5f + uqw_diff_down * tw_base) - weight;
// float weight_up = astc::flt_rd(weight_base + 0.5f + uqw_diff_up * tw_base) - weight;
float weight_down = weight_base + uqw_diff_down * tw_base - weight_base;
float weight_up = weight_base + uqw_diff_up * tw_base - weight_base;
unsigned int partition = pi.partition_of_texel[texel];
vfloat4 color_offset = offset[partition];
vfloat4 color_base = endpnt0f[partition];
vfloat4 color = color_base + color_offset * weight_base;
vfloat4 orig_color = blk.texel(texel);
vfloat4 color_diff = color - orig_color;
vfloat4 color_down_diff = color_diff + color_offset * weight_down;
vfloat4 color_up_diff = color_diff + color_offset * weight_up;
error_basev += color_diff * color_diff;
error_downv += color_down_diff * color_down_diff;
error_upv += color_up_diff * color_up_diff;
}
vfloat4 error_weight = blk.channel_weight;
float error_base = hadd_s(error_basev * error_weight);
float error_down = hadd_s(error_downv * error_weight);
float error_up = hadd_s(error_upv * error_weight);
// Check if the prev or next error is better, and if so use it
if ((error_up < error_base) && (error_up < error_down) && (uqw < 64))
{
uq_weightsf[we_idx] = uqw_up;
dec_weights_uquant[we_idx] = static_cast<uint8_t>(uqw_up);
adjustments = true;
}
else if ((error_down < error_base) && (uqw > 0))
{
uq_weightsf[we_idx] = uqw_down;
dec_weights_uquant[we_idx] = static_cast<uint8_t>(uqw_down);
adjustments = true;
}
}
// Prepare iteration for plane 2
dec_weights_uquant += WEIGHTS_PLANE2_OFFSET;
plane_mask = ~plane_mask;
}
return adjustments;
}
/**
* @brief Compress a block using a chosen partitioning and 1 plane of weights.
*
* @param config The compressor configuration.
* @param bsd The block size information.
* @param blk The image block color data to compress.
* @param only_always True if we only use "always" percentile block modes.
* @param tune_errorval_threshold The error value threshold.
* @param partition_count The partition count.
* @param partition_index The partition index if @c partition_count is 2-4.
* @param[out] scb The symbolic compressed block output.
* @param[out] tmpbuf The quantized weights for plane 1.
*/
static float compress_symbolic_block_for_partition_1plane(
const astcenc_config& config,
const block_size_descriptor& bsd,
const image_block& blk,
bool only_always,
float tune_errorval_threshold,
unsigned int partition_count,
unsigned int partition_index,
symbolic_compressed_block& scb,
compression_working_buffers& tmpbuf,
int quant_limit
) {
promise(partition_count > 0);
promise(config.tune_candidate_limit > 0);
promise(config.tune_refinement_limit > 0);
int max_weight_quant = astc::min(static_cast<int>(QUANT_32), quant_limit);
auto compute_difference = &compute_symbolic_block_difference_1plane;
if ((partition_count == 1) && !(config.flags & ASTCENC_FLG_MAP_RGBM))
{
compute_difference = &compute_symbolic_block_difference_1plane_1partition;
}
const auto& pi = bsd.get_partition_info(partition_count, partition_index);
// Compute ideal weights and endpoint colors, with no quantization or decimation
endpoints_and_weights& ei = tmpbuf.ei1;
compute_ideal_colors_and_weights_1plane(blk, pi, ei);
// Compute ideal weights and endpoint colors for every decimation
float* dec_weights_ideal = tmpbuf.dec_weights_ideal;
uint8_t* dec_weights_uquant = tmpbuf.dec_weights_uquant;
// For each decimation mode, compute an ideal set of weights with no quantization
unsigned int max_decimation_modes = only_always ? bsd.decimation_mode_count_always
: bsd.decimation_mode_count_selected;
promise(max_decimation_modes > 0);
for (unsigned int i = 0; i < max_decimation_modes; i++)
{
const auto& dm = bsd.get_decimation_mode(i);
if (!dm.is_ref_1_plane(static_cast<quant_method>(max_weight_quant)))
{
continue;
}
const auto& di = bsd.get_decimation_info(i);
compute_ideal_weights_for_decimation(
ei,
di,
dec_weights_ideal + i * BLOCK_MAX_WEIGHTS);
}
// Compute maximum colors for the endpoints and ideal weights, then for each endpoint and ideal
// weight pair, compute the smallest weight that will result in a color value greater than 1
vfloat4 min_ep(10.0f);
for (unsigned int i = 0; i < partition_count; i++)
{
vfloat4 ep = (vfloat4(1.0f) - ei.ep.endpt0[i]) / (ei.ep.endpt1[i] - ei.ep.endpt0[i]);
vmask4 use_ep = (ep > vfloat4(0.5f)) & (ep < min_ep);
min_ep = select(min_ep, ep, use_ep);
}
float min_wt_cutoff = hmin_s(min_ep);
// For each mode, use the angular method to compute a shift
compute_angular_endpoints_1plane(
only_always, bsd, dec_weights_ideal, max_weight_quant, tmpbuf);
float* weight_low_value = tmpbuf.weight_low_value1;
float* weight_high_value = tmpbuf.weight_high_value1;
int8_t* qwt_bitcounts = tmpbuf.qwt_bitcounts;
float* qwt_errors = tmpbuf.qwt_errors;
// For each mode (which specifies a decimation and a quantization):
// * Compute number of bits needed for the quantized weights
// * Generate an optimized set of quantized weights
// * Compute quantization errors for the mode
static const int8_t free_bits_for_partition_count[4] {
115 - 4, 111 - 4 - PARTITION_INDEX_BITS, 108 - 4 - PARTITION_INDEX_BITS, 105 - 4 - PARTITION_INDEX_BITS
};
unsigned int max_block_modes = only_always ? bsd.block_mode_count_1plane_always
: bsd.block_mode_count_1plane_selected;
promise(max_block_modes > 0);
for (unsigned int i = 0; i < max_block_modes; i++)
{
const block_mode& bm = bsd.block_modes[i];
if (bm.quant_mode > max_weight_quant)
{
qwt_errors[i] = 1e38f;
continue;
}
assert(!bm.is_dual_plane);
int bitcount = free_bits_for_partition_count[partition_count - 1] - bm.weight_bits;
if (bitcount <= 0)
{
qwt_errors[i] = 1e38f;
continue;
}
if (weight_high_value[i] > 1.02f * min_wt_cutoff)
{
weight_high_value[i] = 1.0f;
}
int decimation_mode = bm.decimation_mode;
const auto& di = bsd.get_decimation_info(decimation_mode);
qwt_bitcounts[i] = static_cast<int8_t>(bitcount);
alignas(ASTCENC_VECALIGN) float dec_weights_uquantf[BLOCK_MAX_WEIGHTS];
// Generate the optimized set of weights for the weight mode
compute_quantized_weights_for_decimation(
di,
weight_low_value[i], weight_high_value[i],
dec_weights_ideal + BLOCK_MAX_WEIGHTS * decimation_mode,
dec_weights_uquantf,
dec_weights_uquant + BLOCK_MAX_WEIGHTS * i,
bm.get_weight_quant_mode());
// Compute weight quantization errors for the block mode
qwt_errors[i] = compute_error_of_weight_set_1plane(
ei,
di,
dec_weights_uquantf);
}
// Decide the optimal combination of color endpoint encodings and weight encodings
uint8_t partition_format_specifiers[TUNE_MAX_TRIAL_CANDIDATES][BLOCK_MAX_PARTITIONS];
int block_mode_index[TUNE_MAX_TRIAL_CANDIDATES];
quant_method color_quant_level[TUNE_MAX_TRIAL_CANDIDATES];
quant_method color_quant_level_mod[TUNE_MAX_TRIAL_CANDIDATES];
unsigned int candidate_count = compute_ideal_endpoint_formats(
pi, blk, ei.ep, qwt_bitcounts, qwt_errors,
config.tune_candidate_limit, 0, max_block_modes,
partition_format_specifiers, block_mode_index,
color_quant_level, color_quant_level_mod, tmpbuf);
// Iterate over the N believed-to-be-best modes to find out which one is actually best
float best_errorval_in_mode = ERROR_CALC_DEFAULT;
float best_errorval_in_scb = scb.errorval;
for (unsigned int i = 0; i < candidate_count; i++)
{
TRACE_NODE(node0, "candidate");
const int bm_packed_index = block_mode_index[i];
assert(bm_packed_index >= 0 && bm_packed_index < static_cast<int>(bsd.block_mode_count_1plane_selected));
const block_mode& qw_bm = bsd.block_modes[bm_packed_index];
int decimation_mode = qw_bm.decimation_mode;
const auto& di = bsd.get_decimation_info(decimation_mode);
promise(di.weight_count > 0);
trace_add_data("weight_x", di.weight_x);
trace_add_data("weight_y", di.weight_y);
trace_add_data("weight_z", di.weight_z);
trace_add_data("weight_quant", qw_bm.quant_mode);
// Recompute the ideal color endpoints before storing them
vfloat4 rgbs_colors[BLOCK_MAX_PARTITIONS];
vfloat4 rgbo_colors[BLOCK_MAX_PARTITIONS];
symbolic_compressed_block workscb;
endpoints workep = ei.ep;
uint8_t* u8_weight_src = dec_weights_uquant + BLOCK_MAX_WEIGHTS * bm_packed_index;
for (unsigned int j = 0; j < di.weight_count; j++)
{
workscb.weights[j] = u8_weight_src[j];
}
for (unsigned int l = 0; l < config.tune_refinement_limit; l++)
{
recompute_ideal_colors_1plane(
blk, pi, di, workscb.weights,
workep, rgbs_colors, rgbo_colors);
// Quantize the chosen color, tracking if worth trying the mod value
bool all_same = color_quant_level[i] != color_quant_level_mod[i];
for (unsigned int j = 0; j < partition_count; j++)
{
workscb.color_formats[j] = pack_color_endpoints(
workep.endpt0[j],
workep.endpt1[j],
rgbs_colors[j],
rgbo_colors[j],
partition_format_specifiers[i][j],
workscb.color_values[j],
color_quant_level[i]);
all_same = all_same && workscb.color_formats[j] == workscb.color_formats[0];
}
// If all the color endpoint modes are the same, we get a few more bits to store colors;
// let's see if we can take advantage of this: requantize all the colors and see if the
// endpoint modes remain the same.
workscb.color_formats_matched = 0;
if (partition_count >= 2 && all_same)
{
uint8_t colorvals[BLOCK_MAX_PARTITIONS][12];
uint8_t color_formats_mod[BLOCK_MAX_PARTITIONS] { 0 };
bool all_same_mod = true;
for (unsigned int j = 0; j < partition_count; j++)
{
color_formats_mod[j] = pack_color_endpoints(
workep.endpt0[j],
workep.endpt1[j],
rgbs_colors[j],
rgbo_colors[j],
partition_format_specifiers[i][j],
colorvals[j],
color_quant_level_mod[i]);
// Early out as soon as it's no longer possible to use mod
if (color_formats_mod[j] != color_formats_mod[0])
{
all_same_mod = false;
break;
}
}
if (all_same_mod)
{
workscb.color_formats_matched = 1;
for (unsigned int j = 0; j < BLOCK_MAX_PARTITIONS; j++)
{
for (unsigned int k = 0; k < 8; k++)
{
workscb.color_values[j][k] = colorvals[j][k];
}
workscb.color_formats[j] = color_formats_mod[j];
}
}
}
// Store header fields
workscb.partition_count = static_cast<uint8_t>(partition_count);
workscb.partition_index = static_cast<uint16_t>(partition_index);
workscb.plane2_component = -1;
workscb.quant_mode = workscb.color_formats_matched ? color_quant_level_mod[i] : color_quant_level[i];
workscb.block_mode = qw_bm.mode_index;
workscb.block_type = SYM_BTYPE_NONCONST;
// Pre-realign test
if (l == 0)
{
float errorval = compute_difference(config, bsd, workscb, blk);
if (errorval == -ERROR_CALC_DEFAULT)
{
errorval = -errorval;
workscb.block_type = SYM_BTYPE_ERROR;
}
trace_add_data("error_prerealign", errorval);
best_errorval_in_mode = astc::min(errorval, best_errorval_in_mode);
// Average refinement improvement is 3.5% per iteration (allow 5%), but the first
// iteration can help more so we give it a extra 10% leeway. Use this knowledge to
// drive a heuristic to skip blocks that are unlikely to catch up with the best
// block we have already.
unsigned int iters_remaining = config.tune_refinement_limit - l;
float threshold = (0.05f * static_cast<float>(iters_remaining)) + 1.1f;
if (errorval > (threshold * best_errorval_in_scb))
{
break;
}
if (errorval < best_errorval_in_scb)
{
best_errorval_in_scb = errorval;
workscb.errorval = errorval;
scb = workscb;
if (errorval < tune_errorval_threshold)
{
// Skip remaining candidates - this is "good enough"
i = candidate_count;
break;
}
}
}
bool adjustments;
if (di.weight_count != bsd.texel_count)
{
adjustments = realign_weights_decimated(
config.profile, bsd, blk, workscb);
}
else
{
adjustments = realign_weights_undecimated(
config.profile, bsd, blk, workscb);
}
// Post-realign test
float errorval = compute_difference(config, bsd, workscb, blk);
if (errorval == -ERROR_CALC_DEFAULT)
{
errorval = -errorval;
workscb.block_type = SYM_BTYPE_ERROR;
}
trace_add_data("error_postrealign", errorval);
best_errorval_in_mode = astc::min(errorval, best_errorval_in_mode);
// Average refinement improvement is 3.5% per iteration, so skip blocks that are
// unlikely to catch up with the best block we have already. Assume a 5% per step to
// give benefit of the doubt ...
unsigned int iters_remaining = config.tune_refinement_limit - 1 - l;
float threshold = (0.05f * static_cast<float>(iters_remaining)) + 1.0f;
if (errorval > (threshold * best_errorval_in_scb))
{
break;
}
if (errorval < best_errorval_in_scb)
{
best_errorval_in_scb = errorval;
workscb.errorval = errorval;
scb = workscb;
if (errorval < tune_errorval_threshold)
{
// Skip remaining candidates - this is "good enough"
i = candidate_count;
break;
}
}
if (!adjustments)
{
break;
}
}
}
return best_errorval_in_mode;
}
/**
* @brief Compress a block using a chosen partitioning and 2 planes of weights.
*
* @param config The compressor configuration.
* @param bsd The block size information.
* @param blk The image block color data to compress.
* @param tune_errorval_threshold The error value threshold.
* @param plane2_component The component index for the second plane of weights.
* @param[out] scb The symbolic compressed block output.
* @param[out] tmpbuf The quantized weights for plane 1.
*/
static float compress_symbolic_block_for_partition_2planes(
const astcenc_config& config,
const block_size_descriptor& bsd,
const image_block& blk,
float tune_errorval_threshold,
unsigned int plane2_component,
symbolic_compressed_block& scb,
compression_working_buffers& tmpbuf,
int quant_limit
) {
promise(config.tune_candidate_limit > 0);
promise(config.tune_refinement_limit > 0);
promise(bsd.decimation_mode_count_selected > 0);
int max_weight_quant = astc::min(static_cast<int>(QUANT_32), quant_limit);
// Compute ideal weights and endpoint colors, with no quantization or decimation
endpoints_and_weights& ei1 = tmpbuf.ei1;
endpoints_and_weights& ei2 = tmpbuf.ei2;
compute_ideal_colors_and_weights_2planes(bsd, blk, plane2_component, ei1, ei2);
// Compute ideal weights and endpoint colors for every decimation
float* dec_weights_ideal = tmpbuf.dec_weights_ideal;
uint8_t* dec_weights_uquant = tmpbuf.dec_weights_uquant;
// For each decimation mode, compute an ideal set of weights with no quantization
for (unsigned int i = 0; i < bsd.decimation_mode_count_selected; i++)
{
const auto& dm = bsd.get_decimation_mode(i);
if (!dm.is_ref_2_plane(static_cast<quant_method>(max_weight_quant)))
{
continue;
}
const auto& di = bsd.get_decimation_info(i);
compute_ideal_weights_for_decimation(
ei1,
di,
dec_weights_ideal + i * BLOCK_MAX_WEIGHTS);
compute_ideal_weights_for_decimation(
ei2,
di,
dec_weights_ideal + i * BLOCK_MAX_WEIGHTS + WEIGHTS_PLANE2_OFFSET);
}
// Compute maximum colors for the endpoints and ideal weights, then for each endpoint and ideal
// weight pair, compute the smallest weight that will result in a color value greater than 1
vfloat4 min_ep1(10.0f);
vfloat4 min_ep2(10.0f);
vfloat4 ep1 = (vfloat4(1.0f) - ei1.ep.endpt0[0]) / (ei1.ep.endpt1[0] - ei1.ep.endpt0[0]);
vmask4 use_ep1 = (ep1 > vfloat4(0.5f)) & (ep1 < min_ep1);
min_ep1 = select(min_ep1, ep1, use_ep1);
vfloat4 ep2 = (vfloat4(1.0f) - ei2.ep.endpt0[0]) / (ei2.ep.endpt1[0] - ei2.ep.endpt0[0]);
vmask4 use_ep2 = (ep2 > vfloat4(0.5f)) & (ep2 < min_ep2);
min_ep2 = select(min_ep2, ep2, use_ep2);
vfloat4 err_max(ERROR_CALC_DEFAULT);
vmask4 err_mask = vint4::lane_id() == vint4(plane2_component);
// Set the plane2 component to max error in ep1
min_ep1 = select(min_ep1, err_max, err_mask);
float min_wt_cutoff1 = hmin_s(min_ep1);
// Set the minwt2 to the plane2 component min in ep2
float min_wt_cutoff2 = hmin_s(select(err_max, min_ep2, err_mask));
compute_angular_endpoints_2planes(
bsd, dec_weights_ideal, max_weight_quant, tmpbuf);
// For each mode (which specifies a decimation and a quantization):
// * Compute number of bits needed for the quantized weights
// * Generate an optimized set of quantized weights
// * Compute quantization errors for the mode
float* weight_low_value1 = tmpbuf.weight_low_value1;
float* weight_high_value1 = tmpbuf.weight_high_value1;
float* weight_low_value2 = tmpbuf.weight_low_value2;
float* weight_high_value2 = tmpbuf.weight_high_value2;
int8_t* qwt_bitcounts = tmpbuf.qwt_bitcounts;
float* qwt_errors = tmpbuf.qwt_errors;
unsigned int start_2plane = bsd.block_mode_count_1plane_selected;
unsigned int end_2plane = bsd.block_mode_count_1plane_2plane_selected;
for (unsigned int i = start_2plane; i < end_2plane; i++)
{
const block_mode& bm = bsd.block_modes[i];
assert(bm.is_dual_plane);
if (bm.quant_mode > max_weight_quant)
{
qwt_errors[i] = 1e38f;
continue;
}
qwt_bitcounts[i] = static_cast<int8_t>(109 - bm.weight_bits);
if (weight_high_value1[i] > 1.02f * min_wt_cutoff1)
{
weight_high_value1[i] = 1.0f;
}
if (weight_high_value2[i] > 1.02f * min_wt_cutoff2)
{
weight_high_value2[i] = 1.0f;
}
unsigned int decimation_mode = bm.decimation_mode;
const auto& di = bsd.get_decimation_info(decimation_mode);
alignas(ASTCENC_VECALIGN) float dec_weights_uquantf[BLOCK_MAX_WEIGHTS];
// Generate the optimized set of weights for the mode
compute_quantized_weights_for_decimation(
di,
weight_low_value1[i],
weight_high_value1[i],
dec_weights_ideal + BLOCK_MAX_WEIGHTS * decimation_mode,
dec_weights_uquantf,
dec_weights_uquant + BLOCK_MAX_WEIGHTS * i,
bm.get_weight_quant_mode());
compute_quantized_weights_for_decimation(
di,
weight_low_value2[i],
weight_high_value2[i],
dec_weights_ideal + BLOCK_MAX_WEIGHTS * decimation_mode + WEIGHTS_PLANE2_OFFSET,
dec_weights_uquantf + WEIGHTS_PLANE2_OFFSET,
dec_weights_uquant + BLOCK_MAX_WEIGHTS * i + WEIGHTS_PLANE2_OFFSET,
bm.get_weight_quant_mode());
// Compute weight quantization errors for the block mode
qwt_errors[i] = compute_error_of_weight_set_2planes(
ei1,
ei2,
di,
dec_weights_uquantf,
dec_weights_uquantf + WEIGHTS_PLANE2_OFFSET);
}
// Decide the optimal combination of color endpoint encodings and weight encodings
uint8_t partition_format_specifiers[TUNE_MAX_TRIAL_CANDIDATES][BLOCK_MAX_PARTITIONS];
int block_mode_index[TUNE_MAX_TRIAL_CANDIDATES];
quant_method color_quant_level[TUNE_MAX_TRIAL_CANDIDATES];
quant_method color_quant_level_mod[TUNE_MAX_TRIAL_CANDIDATES];
endpoints epm;
merge_endpoints(ei1.ep, ei2.ep, plane2_component, epm);
const auto& pi = bsd.get_partition_info(1, 0);
unsigned int candidate_count = compute_ideal_endpoint_formats(
pi, blk, epm, qwt_bitcounts, qwt_errors,
config.tune_candidate_limit,
bsd.block_mode_count_1plane_selected, bsd.block_mode_count_1plane_2plane_selected,
partition_format_specifiers, block_mode_index,
color_quant_level, color_quant_level_mod, tmpbuf);
// Iterate over the N believed-to-be-best modes to find out which one is actually best
float best_errorval_in_mode = ERROR_CALC_DEFAULT;
float best_errorval_in_scb = scb.errorval;
for (unsigned int i = 0; i < candidate_count; i++)
{
TRACE_NODE(node0, "candidate");
const int bm_packed_index = block_mode_index[i];
assert(bm_packed_index >= static_cast<int>(bsd.block_mode_count_1plane_selected) &&
bm_packed_index < static_cast<int>(bsd.block_mode_count_1plane_2plane_selected));
const block_mode& qw_bm = bsd.block_modes[bm_packed_index];
int decimation_mode = qw_bm.decimation_mode;
const auto& di = bsd.get_decimation_info(decimation_mode);
promise(di.weight_count > 0);
trace_add_data("weight_x", di.weight_x);
trace_add_data("weight_y", di.weight_y);
trace_add_data("weight_z", di.weight_z);
trace_add_data("weight_quant", qw_bm.quant_mode);
vfloat4 rgbs_color;
vfloat4 rgbo_color;
symbolic_compressed_block workscb;
endpoints workep = epm;
uint8_t* u8_weight1_src = dec_weights_uquant + BLOCK_MAX_WEIGHTS * bm_packed_index;
uint8_t* u8_weight2_src = dec_weights_uquant + BLOCK_MAX_WEIGHTS * bm_packed_index + WEIGHTS_PLANE2_OFFSET;
for (int j = 0; j < di.weight_count; j++)
{
workscb.weights[j] = u8_weight1_src[j];
workscb.weights[j + WEIGHTS_PLANE2_OFFSET] = u8_weight2_src[j];
}
for (unsigned int l = 0; l < config.tune_refinement_limit; l++)
{
recompute_ideal_colors_2planes(
blk, bsd, di,
workscb.weights, workscb.weights + WEIGHTS_PLANE2_OFFSET,
workep, rgbs_color, rgbo_color, plane2_component);
// Quantize the chosen color
workscb.color_formats[0] = pack_color_endpoints(
workep.endpt0[0],
workep.endpt1[0],
rgbs_color, rgbo_color,
partition_format_specifiers[i][0],
workscb.color_values[0],
color_quant_level[i]);
// Store header fields
workscb.partition_count = 1;
workscb.partition_index = 0;
workscb.quant_mode = color_quant_level[i];
workscb.color_formats_matched = 0;
workscb.block_mode = qw_bm.mode_index;
workscb.plane2_component = static_cast<int8_t>(plane2_component);
workscb.block_type = SYM_BTYPE_NONCONST;
// Pre-realign test
if (l == 0)
{
float errorval = compute_symbolic_block_difference_2plane(config, bsd, workscb, blk);
if (errorval == -ERROR_CALC_DEFAULT)
{
errorval = -errorval;
workscb.block_type = SYM_BTYPE_ERROR;
}
trace_add_data("error_prerealign", errorval);
best_errorval_in_mode = astc::min(errorval, best_errorval_in_mode);
// Average refinement improvement is 3.5% per iteration (allow 5%), but the first
// iteration can help more so we give it a extra 10% leeway. Use this knowledge to
// drive a heuristic to skip blocks that are unlikely to catch up with the best
// block we have already.
unsigned int iters_remaining = config.tune_refinement_limit - l;
float threshold = (0.05f * static_cast<float>(iters_remaining)) + 1.1f;
if (errorval > (threshold * best_errorval_in_scb))
{
break;
}
if (errorval < best_errorval_in_scb)
{
best_errorval_in_scb = errorval;
workscb.errorval = errorval;
scb = workscb;
if (errorval < tune_errorval_threshold)
{
// Skip remaining candidates - this is "good enough"
i = candidate_count;
break;
}
}
}
// Perform a final pass over the weights to try to improve them.
bool adjustments;
if (di.weight_count != bsd.texel_count)
{
adjustments = realign_weights_decimated(
config.profile, bsd, blk, workscb);
}
else
{
adjustments = realign_weights_undecimated(
config.profile, bsd, blk, workscb);
}
// Post-realign test
float errorval = compute_symbolic_block_difference_2plane(config, bsd, workscb, blk);
if (errorval == -ERROR_CALC_DEFAULT)
{
errorval = -errorval;
workscb.block_type = SYM_BTYPE_ERROR;
}
trace_add_data("error_postrealign", errorval);
best_errorval_in_mode = astc::min(errorval, best_errorval_in_mode);
// Average refinement improvement is 3.5% per iteration, so skip blocks that are
// unlikely to catch up with the best block we have already. Assume a 5% per step to
// give benefit of the doubt ...
unsigned int iters_remaining = config.tune_refinement_limit - 1 - l;
float threshold = (0.05f * static_cast<float>(iters_remaining)) + 1.0f;
if (errorval > (threshold * best_errorval_in_scb))
{
break;
}
if (errorval < best_errorval_in_scb)
{
best_errorval_in_scb = errorval;
workscb.errorval = errorval;
scb = workscb;
if (errorval < tune_errorval_threshold)
{
// Skip remaining candidates - this is "good enough"
i = candidate_count;
break;
}
}
if (!adjustments)
{
break;
}
}
}
return best_errorval_in_mode;
}
/**
* @brief Determine the lowest cross-channel correlation factor.
*
* @param texels_per_block The number of texels in a block.
* @param blk The image block color data to compress.
*
* @return Return the lowest correlation factor.
*/
static float prepare_block_statistics(
int texels_per_block,
const image_block& blk
) {
// Compute covariance matrix, as a collection of 10 scalars that form the upper-triangular row
// of the matrix. The matrix is symmetric, so this is all we need for this use case.
float rs = 0.0f;
float gs = 0.0f;
float bs = 0.0f;
float as = 0.0f;
float rr_var = 0.0f;
float gg_var = 0.0f;
float bb_var = 0.0f;
float aa_var = 0.0f;
float rg_cov = 0.0f;
float rb_cov = 0.0f;
float ra_cov = 0.0f;
float gb_cov = 0.0f;
float ga_cov = 0.0f;
float ba_cov = 0.0f;
float weight_sum = 0.0f;
promise(texels_per_block > 0);
for (int i = 0; i < texels_per_block; i++)
{
float weight = hadd_s(blk.channel_weight) / 4.0f;
assert(weight >= 0.0f);
weight_sum += weight;
float r = blk.data_r[i];
float g = blk.data_g[i];
float b = blk.data_b[i];
float a = blk.data_a[i];
float rw = r * weight;
rs += rw;
rr_var += r * rw;
rg_cov += g * rw;
rb_cov += b * rw;
ra_cov += a * rw;
float gw = g * weight;
gs += gw;
gg_var += g * gw;
gb_cov += b * gw;
ga_cov += a * gw;
float bw = b * weight;
bs += bw;
bb_var += b * bw;
ba_cov += a * bw;
float aw = a * weight;
as += aw;
aa_var += a * aw;
}
float rpt = 1.0f / astc::max(weight_sum, 1e-7f);
rr_var -= rs * (rs * rpt);
rg_cov -= gs * (rs * rpt);
rb_cov -= bs * (rs * rpt);
ra_cov -= as * (rs * rpt);
gg_var -= gs * (gs * rpt);
gb_cov -= bs * (gs * rpt);
ga_cov -= as * (gs * rpt);
bb_var -= bs * (bs * rpt);
ba_cov -= as * (bs * rpt);
aa_var -= as * (as * rpt);
// These will give a NaN if a channel is constant - these are fixed up in the next step
rg_cov *= astc::rsqrt(rr_var * gg_var);
rb_cov *= astc::rsqrt(rr_var * bb_var);
ra_cov *= astc::rsqrt(rr_var * aa_var);
gb_cov *= astc::rsqrt(gg_var * bb_var);
ga_cov *= astc::rsqrt(gg_var * aa_var);
ba_cov *= astc::rsqrt(bb_var * aa_var);
if (astc::isnan(rg_cov)) rg_cov = 1.0f;
if (astc::isnan(rb_cov)) rb_cov = 1.0f;
if (astc::isnan(ra_cov)) ra_cov = 1.0f;
if (astc::isnan(gb_cov)) gb_cov = 1.0f;
if (astc::isnan(ga_cov)) ga_cov = 1.0f;
if (astc::isnan(ba_cov)) ba_cov = 1.0f;
float lowest_correlation = astc::min(fabsf(rg_cov), fabsf(rb_cov));
lowest_correlation = astc::min(lowest_correlation, fabsf(ra_cov));
lowest_correlation = astc::min(lowest_correlation, fabsf(gb_cov));
lowest_correlation = astc::min(lowest_correlation, fabsf(ga_cov));
lowest_correlation = astc::min(lowest_correlation, fabsf(ba_cov));
// Diagnostic trace points
trace_add_data("min_r", blk.data_min.lane<0>());
trace_add_data("max_r", blk.data_max.lane<0>());
trace_add_data("min_g", blk.data_min.lane<1>());
trace_add_data("max_g", blk.data_max.lane<1>());
trace_add_data("min_b", blk.data_min.lane<2>());
trace_add_data("max_b", blk.data_max.lane<2>());
trace_add_data("min_a", blk.data_min.lane<3>());
trace_add_data("max_a", blk.data_max.lane<3>());
trace_add_data("cov_rg", fabsf(rg_cov));
trace_add_data("cov_rb", fabsf(rb_cov));
trace_add_data("cov_ra", fabsf(ra_cov));
trace_add_data("cov_gb", fabsf(gb_cov));
trace_add_data("cov_ga", fabsf(ga_cov));
trace_add_data("cov_ba", fabsf(ba_cov));
return lowest_correlation;
}
/* See header for documentation. */
void compress_block(
const astcenc_contexti& ctx,
const image_block& blk,
physical_compressed_block& pcb,
compression_working_buffers& tmpbuf)
{
astcenc_profile decode_mode = ctx.config.profile;
symbolic_compressed_block scb;
const block_size_descriptor& bsd = *ctx.bsd;
float lowest_correl;
TRACE_NODE(node0, "block");
trace_add_data("pos_x", blk.xpos);
trace_add_data("pos_y", blk.ypos);
trace_add_data("pos_z", blk.zpos);
// Set stricter block targets for luminance data as we have more bits to play with
bool block_is_l = blk.is_luminance();
float block_is_l_scale = block_is_l ? 1.0f / 1.5f : 1.0f;
// Set slightly stricter block targets for lumalpha data as we have more bits to play with
bool block_is_la = blk.is_luminancealpha();
float block_is_la_scale = block_is_la ? 1.0f / 1.05f : 1.0f;
bool block_skip_two_plane = false;
int max_partitions = ctx.config.tune_partition_count_limit;
unsigned int requested_partition_indices[3] {
ctx.config.tune_2partition_index_limit,
ctx.config.tune_3partition_index_limit,
ctx.config.tune_4partition_index_limit
};
unsigned int requested_partition_trials[3] {
ctx.config.tune_2partitioning_candidate_limit,
ctx.config.tune_3partitioning_candidate_limit,
ctx.config.tune_4partitioning_candidate_limit
};
#if defined(ASTCENC_DIAGNOSTICS)
// Do this early in diagnostic builds so we can dump uniform metrics
// for every block. Do it later in release builds to avoid redundant work!
float error_weight_sum = hadd_s(blk.channel_weight) * bsd.texel_count;
float error_threshold = ctx.config.tune_db_limit
* error_weight_sum
* block_is_l_scale
* block_is_la_scale;
lowest_correl = prepare_block_statistics(bsd.texel_count, blk);
trace_add_data("lowest_correl", lowest_correl);
trace_add_data("tune_error_threshold", error_threshold);
#endif
// Detected a constant-color block
if (all(blk.data_min == blk.data_max))
{
TRACE_NODE(node1, "pass");
trace_add_data("partition_count", 0);
trace_add_data("plane_count", 1);
scb.partition_count = 0;
// Encode as FP16 if using HDR
if ((decode_mode == ASTCENC_PRF_HDR) ||
(decode_mode == ASTCENC_PRF_HDR_RGB_LDR_A))
{
scb.block_type = SYM_BTYPE_CONST_F16;
vint4 color_f16 = float_to_float16(blk.origin_texel);
store(color_f16, scb.constant_color);
}
// Encode as UNORM16 if NOT using HDR
else
{
scb.block_type = SYM_BTYPE_CONST_U16;
vfloat4 color_f32 = clamp(0.0f, 1.0f, blk.origin_texel) * 65535.0f;
vint4 color_u16 = float_to_int_rtn(color_f32);
store(color_u16, scb.constant_color);
}
trace_add_data("exit", "quality hit");
symbolic_to_physical(bsd, scb, pcb);
return;
}
#if !defined(ASTCENC_DIAGNOSTICS)
float error_weight_sum = hadd_s(blk.channel_weight) * bsd.texel_count;
float error_threshold = ctx.config.tune_db_limit
* error_weight_sum
* block_is_l_scale
* block_is_la_scale;
#endif
// Set SCB and mode errors to a very high error value
scb.errorval = ERROR_CALC_DEFAULT;
scb.block_type = SYM_BTYPE_ERROR;
float best_errorvals_for_pcount[BLOCK_MAX_PARTITIONS] {
ERROR_CALC_DEFAULT, ERROR_CALC_DEFAULT, ERROR_CALC_DEFAULT, ERROR_CALC_DEFAULT
};
float exit_thresholds_for_pcount[BLOCK_MAX_PARTITIONS] {
0.0f,
ctx.config.tune_2_partition_early_out_limit_factor,
ctx.config.tune_3_partition_early_out_limit_factor,
0.0f
};
// Trial using 1 plane of weights and 1 partition.
// Most of the time we test it twice, first with a mode cutoff of 0 and then with the specified
// mode cutoff. This causes an early-out that speeds up encoding of easy blocks. However, this
// optimization is disabled for 4x4 and 5x4 blocks where it nearly always slows down the
// compression and slightly reduces image quality.
float errorval_mult[2] {
1.0f / ctx.config.tune_mode0_mse_overshoot,
1.0f
};
static const float errorval_overshoot = 1.0f / ctx.config.tune_refinement_mse_overshoot;
// Only enable MODE0 fast path (trial 0) if 2D and more than 25 texels
int start_trial = 1;
if ((bsd.texel_count >= TUNE_MIN_TEXELS_MODE0_FASTPATH) && (bsd.zdim == 1))
{
start_trial = 0;
}
int quant_limit = QUANT_32;
for (int i = start_trial; i < 2; i++)
{
TRACE_NODE(node1, "pass");
trace_add_data("partition_count", 1);
trace_add_data("plane_count", 1);
trace_add_data("search_mode", i);
float errorval = compress_symbolic_block_for_partition_1plane(
ctx.config, bsd, blk, i == 0,
error_threshold * errorval_mult[i] * errorval_overshoot,
1, 0, scb, tmpbuf, QUANT_32);
// Record the quant level so we can use the filter later searches
const auto& bm = bsd.get_block_mode(scb.block_mode);
quant_limit = bm.get_weight_quant_mode();
best_errorvals_for_pcount[0] = astc::min(best_errorvals_for_pcount[0], errorval);
if (errorval < (error_threshold * errorval_mult[i]))
{
trace_add_data("exit", "quality hit");
goto END_OF_TESTS;
}
}
#if !defined(ASTCENC_DIAGNOSTICS)
lowest_correl = prepare_block_statistics(bsd.texel_count, blk);
#endif
block_skip_two_plane = lowest_correl > ctx.config.tune_2_plane_early_out_limit_correlation;
// Test the four possible 1-partition, 2-planes modes. Do this in reverse, as
// alpha is the most likely to be non-correlated if it is present in the data.
for (int i = BLOCK_MAX_COMPONENTS - 1; i >= 0; i--)
{
TRACE_NODE(node1, "pass");
trace_add_data("partition_count", 1);
trace_add_data("plane_count", 2);
trace_add_data("plane_component", i);
if (block_skip_two_plane)
{
trace_add_data("skip", "tune_2_plane_early_out_limit_correlation");
continue;
}
if (blk.grayscale && i != 3)
{
trace_add_data("skip", "grayscale block");
continue;
}
if (blk.is_constant_channel(i))
{
trace_add_data("skip", "constant component");
continue;
}
float errorval = compress_symbolic_block_for_partition_2planes(
ctx.config, bsd, blk, error_threshold * errorval_overshoot,
i, scb, tmpbuf, quant_limit);
// If attempting two planes is much worse than the best one plane result
// then further two plane searches are unlikely to help so move on ...
if (errorval > (best_errorvals_for_pcount[0] * 2.0f))
{
break;
}
if (errorval < error_threshold)
{
trace_add_data("exit", "quality hit");
goto END_OF_TESTS;
}
}
// Find best blocks for 2, 3 and 4 partitions
for (int partition_count = 2; partition_count <= max_partitions; partition_count++)
{
unsigned int partition_indices[TUNE_MAX_PARTITIIONING_CANDIDATES];
unsigned int requested_indices = requested_partition_indices[partition_count - 2];
unsigned int requested_trials = requested_partition_trials[partition_count - 2];
requested_trials = astc::min(requested_trials, requested_indices);
unsigned int actual_trials = find_best_partition_candidates(
bsd, blk, partition_count, requested_indices, partition_indices, requested_trials);
float best_error_in_prev = best_errorvals_for_pcount[partition_count - 2];
for (unsigned int i = 0; i < actual_trials; i++)
{
TRACE_NODE(node1, "pass");
trace_add_data("partition_count", partition_count);
trace_add_data("partition_index", partition_indices[i]);
trace_add_data("plane_count", 1);
trace_add_data("search_mode", i);
float errorval = compress_symbolic_block_for_partition_1plane(
ctx.config, bsd, blk, false,
error_threshold * errorval_overshoot,
partition_count, partition_indices[i],
scb, tmpbuf, quant_limit);
best_errorvals_for_pcount[partition_count - 1] = astc::min(best_errorvals_for_pcount[partition_count - 1], errorval);
// If using N partitions doesn't improve much over using N-1 partitions then skip trying
// N+1. Error can dramatically improve if the data is correlated or non-correlated and
// aligns with a partitioning that suits that encoding, so for this inner loop check add
// a large error scale because the "other" trial could be a lot better. In total the
// error must be at least 2x worse than the best existing error to early-out.
float best_error = best_errorvals_for_pcount[partition_count - 1];
float best_error_scale = exit_thresholds_for_pcount[partition_count - 1] * 2.0f;
if (best_error > (best_error_in_prev * best_error_scale))
{
trace_add_data("skip", "tune_partition_early_out_limit_factor");
goto END_OF_TESTS;
}
if (errorval < error_threshold)
{
trace_add_data("exit", "quality hit");
goto END_OF_TESTS;
}
}
// If using N partitions doesn't improve much over using N-1 partitions then skip trying N+1
float best_error = best_errorvals_for_pcount[partition_count - 1];
float best_error_scale = exit_thresholds_for_pcount[partition_count - 1];
if (best_error > (best_error_in_prev * best_error_scale))
{
trace_add_data("skip", "tune_partition_early_out_limit_factor");
goto END_OF_TESTS;
}
}
trace_add_data("exit", "quality not hit");
END_OF_TESTS:
// If we still have an error block then convert to something we can encode
// TODO: Do something more sensible here, such as average color block
if (scb.block_type == SYM_BTYPE_ERROR)
{
#if defined(ASTCENC_DIAGNOSTICS)
static bool printed_once = false;
if (!printed_once)
{
printed_once = true;
printf("WARN: At least one block failed to find a valid encoding.\n"
" Try increasing compression quality settings.\n\n");
}
#endif
scb.block_type = SYM_BTYPE_CONST_U16;
vfloat4 color_f32 = clamp(0.0f, 1.0f, blk.origin_texel) * 65535.0f;
vint4 color_u16 = float_to_int_rtn(color_f32);
store(color_u16, scb.constant_color);
}
// Compress to a physical block
symbolic_to_physical(bsd, scb, pcb);
}
#endif