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75ce42d463
This is mostly a maintenance update that brings the compressor inline with the recently published Khronos Data Format Specification 1.4 release which clarified some ambiguity in the specification. This update also gives minor codec optimizations, bug fixes, and image quality improvements. The biggest improvement for Godot is that builds using MSVC cl.exe will now correctly default to the SSE2-optimized backend rather than the reference C backend. This makes compression more than 3 times faster. Builds using other compilers (GCC, LLVM/Clang) were not impacted by the underlying issue, and see no performance uplift.
1456 lines
48 KiB
C++
1456 lines
48 KiB
C++
// SPDX-License-Identifier: Apache-2.0
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// ----------------------------------------------------------------------------
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// Copyright 2011-2025 Arm Limited
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//
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// Licensed under the Apache License, Version 2.0 (the "License"); you may not
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// use this file except in compliance with the License. You may obtain a copy
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// of the License at:
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
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// WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
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// License for the specific language governing permissions and limitations
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// under the License.
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// ----------------------------------------------------------------------------
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#if !defined(ASTCENC_DECOMPRESS_ONLY)
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/**
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* @brief Functions to compress a symbolic block.
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*/
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#include "astcenc_internal.h"
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#include "astcenc_diagnostic_trace.h"
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#include <cassert>
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/**
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* @brief Merge two planes of endpoints into a single vector.
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*
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* @param ep_plane1 The endpoints for plane 1.
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* @param ep_plane2 The endpoints for plane 2.
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* @param component_plane2 The color component for plane 2.
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* @param[out] result The merged output.
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*/
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static void merge_endpoints(
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const endpoints& ep_plane1,
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const endpoints& ep_plane2,
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unsigned int component_plane2,
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endpoints& result
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) {
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unsigned int partition_count = ep_plane1.partition_count;
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assert(partition_count == 1);
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vmask4 sep_mask = vint4::lane_id() == vint4(component_plane2);
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result.partition_count = partition_count;
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result.endpt0[0] = select(ep_plane1.endpt0[0], ep_plane2.endpt0[0], sep_mask);
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result.endpt1[0] = select(ep_plane1.endpt1[0], ep_plane2.endpt1[0], sep_mask);
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}
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/**
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* @brief Attempt to improve weights given a chosen configuration.
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*
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* Given a fixed weight grid decimation and weight value quantization, iterate over all weights (per
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* partition and per plane) and attempt to improve image quality by moving each weight up by one or
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* down by one quantization step.
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*
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* This is a specialized function which only supports operating on undecimated weight grids,
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* therefore primarily improving the performance of 4x4 and 5x5 blocks where grid decimation
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* is needed less often.
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*
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* @param decode_mode The decode mode (LDR, HDR).
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* @param bsd The block size information.
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* @param blk The image block color data to compress.
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* @param[out] scb The symbolic compressed block output.
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*/
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static bool realign_weights_undecimated(
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astcenc_profile decode_mode,
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const block_size_descriptor& bsd,
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const image_block& blk,
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symbolic_compressed_block& scb
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) {
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// Get the partition descriptor
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unsigned int partition_count = scb.partition_count;
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const auto& pi = bsd.get_partition_info(partition_count, scb.partition_index);
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// Get the quantization table
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const block_mode& bm = bsd.get_block_mode(scb.block_mode);
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unsigned int weight_quant_level = bm.quant_mode;
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const quant_and_transfer_table& qat = quant_and_xfer_tables[weight_quant_level];
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unsigned int max_plane = bm.is_dual_plane;
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int plane2_component = scb.plane2_component;
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vmask4 plane_mask = vint4::lane_id() == vint4(plane2_component);
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// Decode the color endpoints
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bool rgb_hdr;
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bool alpha_hdr;
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vint4 endpnt0[BLOCK_MAX_PARTITIONS];
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vint4 endpnt1[BLOCK_MAX_PARTITIONS];
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vfloat4 endpnt0f[BLOCK_MAX_PARTITIONS];
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vfloat4 offset[BLOCK_MAX_PARTITIONS];
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promise(partition_count > 0);
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for (unsigned int pa_idx = 0; pa_idx < partition_count; pa_idx++)
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{
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unpack_color_endpoints(decode_mode,
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scb.color_formats[pa_idx],
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scb.color_values[pa_idx],
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rgb_hdr, alpha_hdr,
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endpnt0[pa_idx],
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endpnt1[pa_idx]);
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}
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uint8_t* dec_weights_uquant = scb.weights;
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bool adjustments = false;
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// For each plane and partition ...
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for (unsigned int pl_idx = 0; pl_idx <= max_plane; pl_idx++)
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{
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for (unsigned int pa_idx = 0; pa_idx < partition_count; pa_idx++)
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{
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// Compute the endpoint delta for all components in current plane
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vint4 epd = endpnt1[pa_idx] - endpnt0[pa_idx];
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epd = select(epd, vint4::zero(), plane_mask);
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endpnt0f[pa_idx] = int_to_float(endpnt0[pa_idx]);
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offset[pa_idx] = int_to_float(epd) * (1.0f / 64.0f);
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}
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// For each weight compute previous, current, and next errors
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promise(bsd.texel_count > 0);
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for (unsigned int texel = 0; texel < bsd.texel_count; texel++)
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{
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int uqw = dec_weights_uquant[texel];
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uint32_t prev_and_next = qat.prev_next_values[uqw];
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int uqw_down = prev_and_next & 0xFF;
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int uqw_up = (prev_and_next >> 8) & 0xFF;
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// Interpolate the colors to create the diffs
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float weight_base = static_cast<float>(uqw);
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float weight_down = static_cast<float>(uqw_down - uqw);
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float weight_up = static_cast<float>(uqw_up - uqw);
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unsigned int partition = pi.partition_of_texel[texel];
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vfloat4 color_offset = offset[partition];
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vfloat4 color_base = endpnt0f[partition];
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vfloat4 color = color_base + color_offset * weight_base;
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vfloat4 orig_color = blk.texel(texel);
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vfloat4 error_weight = blk.channel_weight;
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vfloat4 color_diff = color - orig_color;
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vfloat4 color_diff_down = color_diff + color_offset * weight_down;
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vfloat4 color_diff_up = color_diff + color_offset * weight_up;
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float error_base = dot_s(color_diff * color_diff, error_weight);
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float error_down = dot_s(color_diff_down * color_diff_down, error_weight);
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float error_up = dot_s(color_diff_up * color_diff_up, error_weight);
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// Check if the prev or next error is better, and if so use it
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if ((error_up < error_base) && (error_up < error_down) && (uqw < 64))
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{
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dec_weights_uquant[texel] = static_cast<uint8_t>(uqw_up);
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adjustments = true;
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}
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else if ((error_down < error_base) && (uqw > 0))
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{
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dec_weights_uquant[texel] = static_cast<uint8_t>(uqw_down);
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adjustments = true;
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}
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}
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// Prepare iteration for plane 2
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dec_weights_uquant += WEIGHTS_PLANE2_OFFSET;
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plane_mask = ~plane_mask;
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}
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return adjustments;
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}
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/**
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* @brief Attempt to improve weights given a chosen configuration.
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*
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* Given a fixed weight grid decimation and weight value quantization, iterate over all weights (per
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* partition and per plane) and attempt to improve image quality by moving each weight up by one or
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* down by one quantization step.
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*
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* @param decode_mode The decode mode (LDR, HDR).
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* @param bsd The block size information.
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* @param blk The image block color data to compress.
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* @param[out] scb The symbolic compressed block output.
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*/
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static bool realign_weights_decimated(
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astcenc_profile decode_mode,
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const block_size_descriptor& bsd,
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const image_block& blk,
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symbolic_compressed_block& scb
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) {
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// Get the partition descriptor
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unsigned int partition_count = scb.partition_count;
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const auto& pi = bsd.get_partition_info(partition_count, scb.partition_index);
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// Get the quantization table
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const block_mode& bm = bsd.get_block_mode(scb.block_mode);
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unsigned int weight_quant_level = bm.quant_mode;
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const quant_and_transfer_table& qat = quant_and_xfer_tables[weight_quant_level];
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// Get the decimation table
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const decimation_info& di = bsd.get_decimation_info(bm.decimation_mode);
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unsigned int weight_count = di.weight_count;
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assert(weight_count != bsd.texel_count);
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unsigned int max_plane = bm.is_dual_plane;
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int plane2_component = scb.plane2_component;
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vmask4 plane_mask = vint4::lane_id() == vint4(plane2_component);
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// Decode the color endpoints
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bool rgb_hdr;
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bool alpha_hdr;
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vint4 endpnt0[BLOCK_MAX_PARTITIONS];
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vint4 endpnt1[BLOCK_MAX_PARTITIONS];
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vfloat4 endpnt0f[BLOCK_MAX_PARTITIONS];
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vfloat4 offset[BLOCK_MAX_PARTITIONS];
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promise(partition_count > 0);
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promise(weight_count > 0);
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for (unsigned int pa_idx = 0; pa_idx < partition_count; pa_idx++)
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{
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unpack_color_endpoints(decode_mode,
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scb.color_formats[pa_idx],
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scb.color_values[pa_idx],
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rgb_hdr, alpha_hdr,
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endpnt0[pa_idx],
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endpnt1[pa_idx]);
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}
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uint8_t* dec_weights_uquant = scb.weights;
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bool adjustments = false;
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// For each plane and partition ...
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for (unsigned int pl_idx = 0; pl_idx <= max_plane; pl_idx++)
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{
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for (unsigned int pa_idx = 0; pa_idx < partition_count; pa_idx++)
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{
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// Compute the endpoint delta for all components in current plane
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vint4 epd = endpnt1[pa_idx] - endpnt0[pa_idx];
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epd = select(epd, vint4::zero(), plane_mask);
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endpnt0f[pa_idx] = int_to_float(endpnt0[pa_idx]);
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offset[pa_idx] = int_to_float(epd) * (1.0f / 64.0f);
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}
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// Create an unquantized weight grid for this decimation level
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ASTCENC_ALIGNAS float uq_weightsf[BLOCK_MAX_WEIGHTS];
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for (unsigned int we_idx = 0; we_idx < weight_count; we_idx += ASTCENC_SIMD_WIDTH)
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{
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vint unquant_value(dec_weights_uquant + we_idx);
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vfloat unquant_valuef = int_to_float(unquant_value);
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storea(unquant_valuef, uq_weightsf + we_idx);
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}
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// For each weight compute previous, current, and next errors
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for (unsigned int we_idx = 0; we_idx < weight_count; we_idx++)
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{
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int uqw = dec_weights_uquant[we_idx];
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uint32_t prev_and_next = qat.prev_next_values[uqw];
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float uqw_base = uq_weightsf[we_idx];
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float uqw_down = static_cast<float>(prev_and_next & 0xFF);
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float uqw_up = static_cast<float>((prev_and_next >> 8) & 0xFF);
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float uqw_diff_down = uqw_down - uqw_base;
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float uqw_diff_up = uqw_up - uqw_base;
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vfloat4 error_basev = vfloat4::zero();
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vfloat4 error_downv = vfloat4::zero();
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vfloat4 error_upv = vfloat4::zero();
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// Interpolate the colors to create the diffs
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unsigned int texels_to_evaluate = di.weight_texel_count[we_idx];
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promise(texels_to_evaluate > 0);
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for (unsigned int te_idx = 0; te_idx < texels_to_evaluate; te_idx++)
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{
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unsigned int texel = di.weight_texels_tr[te_idx][we_idx];
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float tw_base = di.texel_contrib_for_weight[te_idx][we_idx];
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float weight_base = (uq_weightsf[di.texel_weights_tr[0][texel]] * di.texel_weight_contribs_float_tr[0][texel]
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+ uq_weightsf[di.texel_weights_tr[1][texel]] * di.texel_weight_contribs_float_tr[1][texel])
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+ (uq_weightsf[di.texel_weights_tr[2][texel]] * di.texel_weight_contribs_float_tr[2][texel]
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+ uq_weightsf[di.texel_weights_tr[3][texel]] * di.texel_weight_contribs_float_tr[3][texel]);
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// Ideally this is integer rounded, but IQ gain it isn't worth the overhead
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// float weight = astc::flt_rd(weight_base + 0.5f);
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// float weight_down = astc::flt_rd(weight_base + 0.5f + uqw_diff_down * tw_base) - weight;
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// float weight_up = astc::flt_rd(weight_base + 0.5f + uqw_diff_up * tw_base) - weight;
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float weight_down = weight_base + uqw_diff_down * tw_base - weight_base;
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float weight_up = weight_base + uqw_diff_up * tw_base - weight_base;
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unsigned int partition = pi.partition_of_texel[texel];
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vfloat4 color_offset = offset[partition];
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vfloat4 color_base = endpnt0f[partition];
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vfloat4 color = color_base + color_offset * weight_base;
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vfloat4 orig_color = blk.texel(texel);
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vfloat4 color_diff = color - orig_color;
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vfloat4 color_down_diff = color_diff + color_offset * weight_down;
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vfloat4 color_up_diff = color_diff + color_offset * weight_up;
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error_basev += color_diff * color_diff;
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error_downv += color_down_diff * color_down_diff;
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error_upv += color_up_diff * color_up_diff;
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}
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vfloat4 error_weight = blk.channel_weight;
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float error_base = hadd_s(error_basev * error_weight);
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float error_down = hadd_s(error_downv * error_weight);
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float error_up = hadd_s(error_upv * error_weight);
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// Check if the prev or next error is better, and if so use it
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if ((error_up < error_base) && (error_up < error_down) && (uqw < 64))
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{
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uq_weightsf[we_idx] = uqw_up;
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dec_weights_uquant[we_idx] = static_cast<uint8_t>(uqw_up);
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adjustments = true;
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}
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else if ((error_down < error_base) && (uqw > 0))
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{
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uq_weightsf[we_idx] = uqw_down;
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dec_weights_uquant[we_idx] = static_cast<uint8_t>(uqw_down);
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adjustments = true;
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}
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}
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// Prepare iteration for plane 2
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dec_weights_uquant += WEIGHTS_PLANE2_OFFSET;
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plane_mask = ~plane_mask;
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}
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return adjustments;
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}
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/**
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* @brief Compress a block using a chosen partitioning and 1 plane of weights.
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*
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* @param config The compressor configuration.
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* @param bsd The block size information.
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* @param blk The image block color data to compress.
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* @param only_always True if we only use "always" percentile block modes.
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* @param tune_errorval_threshold The error value threshold.
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* @param partition_count The partition count.
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* @param partition_index The partition index if @c partition_count is 2-4.
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* @param[out] scb The symbolic compressed block output.
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* @param[out] tmpbuf The quantized weights for plane 1.
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*/
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static float compress_symbolic_block_for_partition_1plane(
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const astcenc_config& config,
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const block_size_descriptor& bsd,
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const image_block& blk,
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bool only_always,
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float tune_errorval_threshold,
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unsigned int partition_count,
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unsigned int partition_index,
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symbolic_compressed_block& scb,
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compression_working_buffers& tmpbuf,
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int quant_limit
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) {
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promise(partition_count > 0);
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promise(config.tune_candidate_limit > 0);
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promise(config.tune_refinement_limit > 0);
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int max_weight_quant = astc::min(static_cast<int>(QUANT_32), quant_limit);
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auto compute_difference = &compute_symbolic_block_difference_1plane;
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if ((partition_count == 1) && !(config.flags & ASTCENC_FLG_MAP_RGBM))
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{
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compute_difference = &compute_symbolic_block_difference_1plane_1partition;
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}
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const auto& pi = bsd.get_partition_info(partition_count, partition_index);
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// Compute ideal weights and endpoint colors, with no quantization or decimation
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endpoints_and_weights& ei = tmpbuf.ei1;
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compute_ideal_colors_and_weights_1plane(blk, pi, ei);
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// Compute ideal weights and endpoint colors for every decimation
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float* dec_weights_ideal = tmpbuf.dec_weights_ideal;
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uint8_t* dec_weights_uquant = tmpbuf.dec_weights_uquant;
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// For each decimation mode, compute an ideal set of weights with no quantization
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unsigned int max_decimation_modes = only_always ? bsd.decimation_mode_count_always
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: bsd.decimation_mode_count_selected;
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promise(max_decimation_modes > 0);
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for (unsigned int i = 0; i < max_decimation_modes; i++)
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{
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const auto& dm = bsd.get_decimation_mode(i);
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if (!dm.is_ref_1plane(static_cast<quant_method>(max_weight_quant)))
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{
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continue;
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}
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const auto& di = bsd.get_decimation_info(i);
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compute_ideal_weights_for_decimation(
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ei,
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di,
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dec_weights_ideal + i * BLOCK_MAX_WEIGHTS);
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}
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// Compute maximum colors for the endpoints and ideal weights, then for each endpoint and ideal
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// weight pair, compute the smallest weight that will result in a color value greater than 1
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vfloat4 min_ep(10.0f);
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for (unsigned int i = 0; i < partition_count; i++)
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{
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vfloat4 ep = (vfloat4(1.0f) - ei.ep.endpt0[i]) / (ei.ep.endpt1[i] - ei.ep.endpt0[i]);
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vmask4 use_ep = (ep > vfloat4(0.5f)) & (ep < min_ep);
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min_ep = select(min_ep, ep, use_ep);
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}
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float min_wt_cutoff = hmin_s(min_ep);
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// For each mode, use the angular method to compute a shift
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compute_angular_endpoints_1plane(
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only_always, bsd, dec_weights_ideal, max_weight_quant, tmpbuf);
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float* weight_low_value = tmpbuf.weight_low_value1;
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float* weight_high_value = tmpbuf.weight_high_value1;
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int8_t* qwt_bitcounts = tmpbuf.qwt_bitcounts;
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float* qwt_errors = tmpbuf.qwt_errors;
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|
|
|
// 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);
|
|
|
|
ASTCENC_ALIGNAS 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][8];
|
|
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 4.5%), but the first
|
|
// iteration can help more so we give it a extra 8% 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 = (0.045f * static_cast<float>(iters_remaining)) + 1.08f;
|
|
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 4.5% per step to
|
|
// give benefit of the doubt ...
|
|
unsigned int iters_remaining = config.tune_refinement_limit - 1 - l;
|
|
float threshold = (0.045f * 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_2plane(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);
|
|
|
|
ASTCENC_ALIGNAS 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 4.5%), but the first
|
|
// iteration can help more so we give it a extra 8% 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 = (0.045f * static_cast<float>(iters_remaining)) + 1.08f;
|
|
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 4.5% per step to
|
|
// give benefit of the doubt ...
|
|
unsigned int iters_remaining = config.tune_refinement_limit - 1 - l;
|
|
float threshold = (0.045f * 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,
|
|
uint8_t pcb[16],
|
|
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_2partition_early_out_limit_factor,
|
|
ctx.config.tune_3partition_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_mse_overshoot,
|
|
1.0f
|
|
};
|
|
|
|
const float errorval_overshoot = 1.0f / ctx.config.tune_mse_overshoot;
|
|
|
|
// Only enable MODE0 fast path if enabled
|
|
// Never enable for 3D blocks as no "always" block modes are available
|
|
int start_trial = 1;
|
|
if ((ctx.config.tune_search_mode0_enable >= TUNE_MIN_SEARCH_MODE0) && (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_2plane_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_2plane_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] * 1.85f))
|
|
{
|
|
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_PARTITIONING_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.
|
|
float best_error = best_errorvals_for_pcount[partition_count - 1];
|
|
float best_error_scale = exit_thresholds_for_pcount[partition_count - 1] * 1.85f;
|
|
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
|