Query Cache: Implement host side sample counting.
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// SPDX-FileCopyrightText: Copyright 2015 Graham Sellers, Richard Wright Jr. and Nicholas Haemel
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// SPDX-License-Identifier: MIT
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// Code obtained from OpenGL SuperBible, Seventh Edition by Graham Sellers, Richard Wright Jr. and
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// Nicholas Haemel. Modified to suit needs and optimize for subgroup
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#version 460 core
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#ifdef VULKAN
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#extension GL_KHR_shader_subgroup_arithmetic : enable
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#define HAS_EXTENDED_TYPES 1
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#define BEGIN_PUSH_CONSTANTS layout(push_constant) uniform PushConstants {
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#define END_PUSH_CONSTANTS \
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} \
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;
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#define UNIFORM(n)
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#define BINDING_INPUT_BUFFER 0
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#define BINDING_OUTPUT_IMAGE 1
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#else // ^^^ Vulkan ^^^ // vvv OpenGL vvv
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#extension GL_KHR_shader_subgroup_arithmetic : enable
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#extension GL_NV_gpu_shader5 : enable
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#ifdef GL_NV_gpu_shader5
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#define HAS_EXTENDED_TYPES 1
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#else
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#define HAS_EXTENDED_TYPES 0
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#endif
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#define BEGIN_PUSH_CONSTANTS
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#define END_PUSH_CONSTANTS
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#define UNIFORM(n) layout(location = n) uniform
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#define BINDING_INPUT_BUFFER 0
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#define BINDING_OUTPUT_IMAGE 0
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#endif
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BEGIN_PUSH_CONSTANTS
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UNIFORM(0) uint max_accumulation_base;
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UNIFORM(1) uint accumulation_limit;
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END_PUSH_CONSTANTS
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layout(local_size_x = 32) in;
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layout(std430, binding = 0) readonly buffer block1 {
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uvec2 input_data[gl_WorkGroupSize.x];
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};
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layout(std430, binding = 1) writeonly coherent buffer block2 {
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uvec2 output_data[gl_WorkGroupSize.x];
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};
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layout(std430, binding = 2) coherent buffer block3 {
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uvec2 accumulated_data;
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};
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shared uvec2 shared_data[gl_WorkGroupSize.x * 2];
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uvec2 AddUint64(uvec2 value_1, uvec2 value_2) {
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uint carry = 0;
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uvec2 result;
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result.x = uaddCarry(value_1.x, value_2.x, carry);
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result.y = value_1.y + value_2.y + carry;
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return result;
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}
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void main(void) {
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uint id = gl_LocalInvocationID.x;
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uvec2 base_value_1 = (id * 2) < max_accumulation_base ? accumulated_data : uvec2(0);
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uvec2 base_value_2 = (id * 2 + 1) < max_accumulation_base ? accumulated_data : uvec2(0);
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uint work_size = gl_WorkGroupSize.x;
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uint rd_id;
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uint wr_id;
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uint mask;
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uvec2 input_1 = input_data[id * 2];
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uvec2 input_2 = input_data[id * 2 + 1];
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// The number of steps is the log base 2 of the
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// work group size, which should be a power of 2
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const uint steps = uint(log2(work_size)) + 1;
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uint step = 0;
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// Each invocation is responsible for the content of
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// two elements of the output array
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shared_data[id * 2] = input_1;
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shared_data[id * 2 + 1] = input_2;
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// Synchronize to make sure that everyone has initialized
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// their elements of shared_data[] with data loaded from
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// the input arrays
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barrier();
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memoryBarrierShared();
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// For each step...
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for (step = 0; step < steps; step++) {
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// Calculate the read and write index in the
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// shared array
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mask = (1 << step) - 1;
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rd_id = ((id >> step) << (step + 1)) + mask;
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wr_id = rd_id + 1 + (id & mask);
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// Accumulate the read data into our element
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shared_data[wr_id] = AddUint64(shared_data[rd_id], shared_data[wr_id]);
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// Synchronize again to make sure that everyone
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// has caught up with us
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barrier();
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memoryBarrierShared();
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}
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// Add the accumulation
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shared_data[id * 2] = AddUint64(shared_data[id * 2], base_value_1);
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shared_data[id * 2 + 1] = AddUint64(shared_data[id * 2 + 1], base_value_2);
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barrier();
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memoryBarrierShared();
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// Finally write our data back to the output buffer
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output_data[id * 2] = shared_data[id * 2];
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output_data[id * 2 + 1] = shared_data[id * 2 + 1];
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if (id == 0) {
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if (max_accumulation_base >= accumulation_limit + 1) {
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accumulated_data = shared_data[accumulation_limit];
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return;
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}
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uvec2 value_1 = shared_data[max_accumulation_base];
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uvec2 value_2 = shared_data[accumulation_limit];
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accumulated_data = AddUint64(value_1, -value_2);
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}
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}
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