hwpplayer1/suyu
1
0
Fork 0
forked from suyu/suyu
Code Pull requests Activity

Merge pull request #12435 from liamwhite/type-check

Browse source 
shader_recompiler: ensure derivatives for textureGrad are f32
This commit is contained in:
Fernando S 2023-12-22 17:41:13 +01:00 committed by GitHub
commit 820f113d9e
No known key found for this signature in database
GPG key ID: 4AEE18F83AFDEB23
1 changed files with 11 additions and 1 deletions
Show stats Download patch file Download diff file Expand all files Collapse all files

12
src/shader_recompiler/ir_opt/constant_propagation_pass.cpp
View file

@ -815,6 +815,15 @@ bool FindGradient3DDerivatives(std::array<IR::Value, 3>& results, IR::Value coor
return true;
}
void ConvertDerivatives(std::array<IR::Value, 3>& results, IR::IREmitter& ir) {
for (size_t i = 0; i < 3; i++) {
if (results[i].Type() == IR::Type::U32) {
results[i] = results[i].IsImmediate() ? ir.Imm32(Common::BitCast<f32>(results[i].U32()))
: ir.BitCast<IR::F32>(IR::U32(results[i]));
}
}
}
void FoldImageSampleImplicitLod(IR::Block& block, IR::Inst& inst) {
IR::TextureInstInfo info = inst.Flags<IR::TextureInstInfo>();
auto orig_opcode = inst.GetOpcode();
@ -831,12 +840,14 @@ void FoldImageSampleImplicitLod(IR::Block& block, IR::Inst& inst) {
if (!offset.IsImmediate()) {
return;
}
IR::IREmitter ir{block, IR::Block::InstructionList::s_iterator_to(inst)};
IR::Inst* const inst2 = coords.InstRecursive();
std::array<std::array<IR::Value, 3>, 3> results_matrix;
for (size_t i = 0; i < 3; i++) {
if (!FindGradient3DDerivatives(results_matrix[i], inst2->Arg(i).Resolve())) {
return;
}
ConvertDerivatives(results_matrix[i], ir);
}
IR::F32 lod_clamp{};
if (info.has_lod_clamp != 0) {
@ -846,7 +857,6 @@ void FoldImageSampleImplicitLod(IR::Block& block, IR::Inst& inst) {
lod_clamp = IR::F32{bias_lc};
}
}
IR::IREmitter ir{block, IR::Block::InstructionList::s_iterator_to(inst)};
IR::Value new_coords =
ir.CompositeConstruct(results_matrix[0][0], results_matrix[1][0], results_matrix[2][0]);
IR::Value derivatives_1 = ir.CompositeConstruct(results_matrix[0][1], results_matrix[0][2],