2017-06-16 21:37:31 +00:00
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// Copyright (c) 2017 Valve Corporation
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// Copyright (c) 2017 LunarG Inc.
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//
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy 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,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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#include "pass_fixture.h"
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#include "pass_utils.h"
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2018-07-11 13:24:49 +00:00
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namespace spvtools {
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namespace opt {
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2017-06-16 21:37:31 +00:00
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namespace {
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using LocalSSAElimTest = PassTest<::testing::Test>;
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TEST_F(LocalSSAElimTest, ForLoop) {
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// #version 140
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2017-11-27 15:16:41 +00:00
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//
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2017-06-16 21:37:31 +00:00
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// in vec4 BC;
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// out float fo;
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2017-11-27 15:16:41 +00:00
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//
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2017-06-16 21:37:31 +00:00
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// void main()
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// {
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// float f = 0.0;
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// for (int i=0; i<4; i++) {
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// f = f + BC[i];
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// }
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// fo = f;
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// }
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const std::string predefs =
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R"(OpCapability Shader
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%1 = OpExtInstImport "GLSL.std.450"
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OpMemoryModel Logical GLSL450
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OpEntryPoint Fragment %main "main" %BC %fo
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OpExecutionMode %main OriginUpperLeft
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OpSource GLSL 140
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2018-02-22 21:05:37 +00:00
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OpName %main "main"
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2017-06-16 21:37:31 +00:00
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OpName %f "f"
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OpName %i "i"
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OpName %BC "BC"
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OpName %fo "fo"
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%void = OpTypeVoid
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2017-06-16 21:37:31 +00:00
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%8 = OpTypeFunction %void
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%float = OpTypeFloat 32
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%_ptr_Function_float = OpTypePointer Function %float
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%float_0 = OpConstant %float 0
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%int = OpTypeInt 32 1
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%_ptr_Function_int = OpTypePointer Function %int
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%int_0 = OpConstant %int 0
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%int_4 = OpConstant %int 4
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%bool = OpTypeBool
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%v4float = OpTypeVector %float 4
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%_ptr_Input_v4float = OpTypePointer Input %v4float
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%BC = OpVariable %_ptr_Input_v4float Input
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%_ptr_Input_float = OpTypePointer Input %float
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%int_1 = OpConstant %int 1
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%_ptr_Output_float = OpTypePointer Output %float
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%fo = OpVariable %_ptr_Output_float Output
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)";
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const std::string before =
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R"(%main = OpFunction %void None %8
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%22 = OpLabel
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%f = OpVariable %_ptr_Function_float Function
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%i = OpVariable %_ptr_Function_int Function
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OpStore %f %float_0
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OpStore %i %int_0
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OpBranch %23
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%23 = OpLabel
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OpLoopMerge %24 %25 None
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OpBranch %26
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%26 = OpLabel
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%27 = OpLoad %int %i
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%28 = OpSLessThan %bool %27 %int_4
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OpBranchConditional %28 %29 %24
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%29 = OpLabel
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%30 = OpLoad %float %f
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%31 = OpLoad %int %i
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%32 = OpAccessChain %_ptr_Input_float %BC %31
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%33 = OpLoad %float %32
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%34 = OpFAdd %float %30 %33
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OpStore %f %34
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OpBranch %25
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%25 = OpLabel
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%35 = OpLoad %int %i
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%36 = OpIAdd %int %35 %int_1
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OpStore %i %36
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OpBranch %23
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%24 = OpLabel
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%37 = OpLoad %float %f
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OpStore %fo %37
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OpReturn
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OpFunctionEnd
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)";
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const std::string after =
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R"(%main = OpFunction %void None %8
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%22 = OpLabel
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2018-02-22 21:05:37 +00:00
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%f = OpVariable %_ptr_Function_float Function
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%i = OpVariable %_ptr_Function_int Function
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OpStore %f %float_0
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OpStore %i %int_0
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2017-06-16 21:37:31 +00:00
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OpBranch %23
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%23 = OpLabel
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SSA rewrite pass.
This pass replaces the load/store elimination passes. It implements the
SSA re-writing algorithm proposed in
Simple and Efficient Construction of Static Single Assignment Form.
Braun M., Buchwald S., Hack S., Leißa R., Mallon C., Zwinkau A. (2013)
In: Jhala R., De Bosschere K. (eds)
Compiler Construction. CC 2013.
Lecture Notes in Computer Science, vol 7791.
Springer, Berlin, Heidelberg
https://link.springer.com/chapter/10.1007/978-3-642-37051-9_6
In contrast to common eager algorithms based on dominance and dominance
frontier information, this algorithm works backwards from load operations.
When a target variable is loaded, it queries the variable's reaching
definition. If the reaching definition is unknown at the current location,
it searches backwards in the CFG, inserting Phi instructions at join points
in the CFG along the way until it finds the desired store instruction.
The algorithm avoids repeated lookups using memoization.
For reducible CFGs, which are a superset of the structured CFGs in SPIRV,
this algorithm is proven to produce minimal SSA. That is, it inserts the
minimal number of Phi instructions required to ensure the SSA property, but
some Phi instructions may be dead
(https://en.wikipedia.org/wiki/Static_single_assignment_form).
2018-02-22 21:18:29 +00:00
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%39 = OpPhi %float %float_0 %22 %34 %25
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%38 = OpPhi %int %int_0 %22 %36 %25
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2017-06-16 21:37:31 +00:00
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OpLoopMerge %24 %25 None
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OpBranch %26
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%26 = OpLabel
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SSA rewrite pass.
This pass replaces the load/store elimination passes. It implements the
SSA re-writing algorithm proposed in
Simple and Efficient Construction of Static Single Assignment Form.
Braun M., Buchwald S., Hack S., Leißa R., Mallon C., Zwinkau A. (2013)
In: Jhala R., De Bosschere K. (eds)
Compiler Construction. CC 2013.
Lecture Notes in Computer Science, vol 7791.
Springer, Berlin, Heidelberg
https://link.springer.com/chapter/10.1007/978-3-642-37051-9_6
In contrast to common eager algorithms based on dominance and dominance
frontier information, this algorithm works backwards from load operations.
When a target variable is loaded, it queries the variable's reaching
definition. If the reaching definition is unknown at the current location,
it searches backwards in the CFG, inserting Phi instructions at join points
in the CFG along the way until it finds the desired store instruction.
The algorithm avoids repeated lookups using memoization.
For reducible CFGs, which are a superset of the structured CFGs in SPIRV,
this algorithm is proven to produce minimal SSA. That is, it inserts the
minimal number of Phi instructions required to ensure the SSA property, but
some Phi instructions may be dead
(https://en.wikipedia.org/wiki/Static_single_assignment_form).
2018-02-22 21:18:29 +00:00
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%28 = OpSLessThan %bool %38 %int_4
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2017-06-16 21:37:31 +00:00
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OpBranchConditional %28 %29 %24
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%29 = OpLabel
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SSA rewrite pass.
This pass replaces the load/store elimination passes. It implements the
SSA re-writing algorithm proposed in
Simple and Efficient Construction of Static Single Assignment Form.
Braun M., Buchwald S., Hack S., Leißa R., Mallon C., Zwinkau A. (2013)
In: Jhala R., De Bosschere K. (eds)
Compiler Construction. CC 2013.
Lecture Notes in Computer Science, vol 7791.
Springer, Berlin, Heidelberg
https://link.springer.com/chapter/10.1007/978-3-642-37051-9_6
In contrast to common eager algorithms based on dominance and dominance
frontier information, this algorithm works backwards from load operations.
When a target variable is loaded, it queries the variable's reaching
definition. If the reaching definition is unknown at the current location,
it searches backwards in the CFG, inserting Phi instructions at join points
in the CFG along the way until it finds the desired store instruction.
The algorithm avoids repeated lookups using memoization.
For reducible CFGs, which are a superset of the structured CFGs in SPIRV,
this algorithm is proven to produce minimal SSA. That is, it inserts the
minimal number of Phi instructions required to ensure the SSA property, but
some Phi instructions may be dead
(https://en.wikipedia.org/wiki/Static_single_assignment_form).
2018-02-22 21:18:29 +00:00
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%32 = OpAccessChain %_ptr_Input_float %BC %38
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2017-06-16 21:37:31 +00:00
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%33 = OpLoad %float %32
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SSA rewrite pass.
This pass replaces the load/store elimination passes. It implements the
SSA re-writing algorithm proposed in
Simple and Efficient Construction of Static Single Assignment Form.
Braun M., Buchwald S., Hack S., Leißa R., Mallon C., Zwinkau A. (2013)
In: Jhala R., De Bosschere K. (eds)
Compiler Construction. CC 2013.
Lecture Notes in Computer Science, vol 7791.
Springer, Berlin, Heidelberg
https://link.springer.com/chapter/10.1007/978-3-642-37051-9_6
In contrast to common eager algorithms based on dominance and dominance
frontier information, this algorithm works backwards from load operations.
When a target variable is loaded, it queries the variable's reaching
definition. If the reaching definition is unknown at the current location,
it searches backwards in the CFG, inserting Phi instructions at join points
in the CFG along the way until it finds the desired store instruction.
The algorithm avoids repeated lookups using memoization.
For reducible CFGs, which are a superset of the structured CFGs in SPIRV,
this algorithm is proven to produce minimal SSA. That is, it inserts the
minimal number of Phi instructions required to ensure the SSA property, but
some Phi instructions may be dead
(https://en.wikipedia.org/wiki/Static_single_assignment_form).
2018-02-22 21:18:29 +00:00
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%34 = OpFAdd %float %39 %33
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2018-02-22 21:05:37 +00:00
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OpStore %f %34
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2017-06-16 21:37:31 +00:00
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OpBranch %25
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%25 = OpLabel
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SSA rewrite pass.
This pass replaces the load/store elimination passes. It implements the
SSA re-writing algorithm proposed in
Simple and Efficient Construction of Static Single Assignment Form.
Braun M., Buchwald S., Hack S., Leißa R., Mallon C., Zwinkau A. (2013)
In: Jhala R., De Bosschere K. (eds)
Compiler Construction. CC 2013.
Lecture Notes in Computer Science, vol 7791.
Springer, Berlin, Heidelberg
https://link.springer.com/chapter/10.1007/978-3-642-37051-9_6
In contrast to common eager algorithms based on dominance and dominance
frontier information, this algorithm works backwards from load operations.
When a target variable is loaded, it queries the variable's reaching
definition. If the reaching definition is unknown at the current location,
it searches backwards in the CFG, inserting Phi instructions at join points
in the CFG along the way until it finds the desired store instruction.
The algorithm avoids repeated lookups using memoization.
For reducible CFGs, which are a superset of the structured CFGs in SPIRV,
this algorithm is proven to produce minimal SSA. That is, it inserts the
minimal number of Phi instructions required to ensure the SSA property, but
some Phi instructions may be dead
(https://en.wikipedia.org/wiki/Static_single_assignment_form).
2018-02-22 21:18:29 +00:00
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%36 = OpIAdd %int %38 %int_1
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2018-02-22 21:05:37 +00:00
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OpStore %i %36
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2017-06-16 21:37:31 +00:00
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OpBranch %23
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%24 = OpLabel
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SSA rewrite pass.
This pass replaces the load/store elimination passes. It implements the
SSA re-writing algorithm proposed in
Simple and Efficient Construction of Static Single Assignment Form.
Braun M., Buchwald S., Hack S., Leißa R., Mallon C., Zwinkau A. (2013)
In: Jhala R., De Bosschere K. (eds)
Compiler Construction. CC 2013.
Lecture Notes in Computer Science, vol 7791.
Springer, Berlin, Heidelberg
https://link.springer.com/chapter/10.1007/978-3-642-37051-9_6
In contrast to common eager algorithms based on dominance and dominance
frontier information, this algorithm works backwards from load operations.
When a target variable is loaded, it queries the variable's reaching
definition. If the reaching definition is unknown at the current location,
it searches backwards in the CFG, inserting Phi instructions at join points
in the CFG along the way until it finds the desired store instruction.
The algorithm avoids repeated lookups using memoization.
For reducible CFGs, which are a superset of the structured CFGs in SPIRV,
this algorithm is proven to produce minimal SSA. That is, it inserts the
minimal number of Phi instructions required to ensure the SSA property, but
some Phi instructions may be dead
(https://en.wikipedia.org/wiki/Static_single_assignment_form).
2018-02-22 21:18:29 +00:00
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OpStore %fo %39
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2017-06-16 21:37:31 +00:00
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OpReturn
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OpFunctionEnd
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)";
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2018-07-11 13:24:49 +00:00
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SinglePassRunAndCheck<LocalMultiStoreElimPass>(predefs + before,
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predefs + after, true, true);
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}
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2018-04-05 00:15:48 +00:00
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TEST_F(LocalSSAElimTest, NestedForLoop) {
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// #version 450
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//
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// layout (location=0) in mat4 BC;
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// layout (location=0) out float fo;
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//
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// void main()
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// {
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// float f = 0.0;
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// for (int i=0; i<4; i++)
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// for (int j=0; j<4; j++)
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// f = f + BC[i][j];
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// fo = f;
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// }
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const std::string predefs =
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R"(OpCapability Shader
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%1 = OpExtInstImport "GLSL.std.450"
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OpMemoryModel Logical GLSL450
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OpEntryPoint Fragment %main "main" %BC %fo
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OpExecutionMode %main OriginUpperLeft
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OpSource GLSL 450
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OpName %main "main"
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OpName %f "f"
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OpName %i "i"
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OpName %j "j"
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OpName %BC "BC"
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OpName %fo "fo"
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OpDecorate %BC Location 0
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OpDecorate %fo Location 0
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%void = OpTypeVoid
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%9 = OpTypeFunction %void
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%float = OpTypeFloat 32
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%_ptr_Function_float = OpTypePointer Function %float
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%float_0 = OpConstant %float 0
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%int = OpTypeInt 32 1
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%_ptr_Function_int = OpTypePointer Function %int
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%int_0 = OpConstant %int 0
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%int_4 = OpConstant %int 4
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%bool = OpTypeBool
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%v4float = OpTypeVector %float 4
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%mat4v4float = OpTypeMatrix %v4float 4
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%_ptr_Input_mat4v4float = OpTypePointer Input %mat4v4float
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%BC = OpVariable %_ptr_Input_mat4v4float Input
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%_ptr_Input_float = OpTypePointer Input %float
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%int_1 = OpConstant %int 1
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%_ptr_Output_float = OpTypePointer Output %float
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%fo = OpVariable %_ptr_Output_float Output
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)";
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const std::string before =
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R"(%main = OpFunction %void None %9
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%24 = OpLabel
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%f = OpVariable %_ptr_Function_float Function
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%i = OpVariable %_ptr_Function_int Function
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%j = OpVariable %_ptr_Function_int Function
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OpStore %f %float_0
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OpStore %i %int_0
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OpBranch %25
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%25 = OpLabel
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%26 = OpLoad %int %i
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%27 = OpSLessThan %bool %26 %int_4
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OpLoopMerge %28 %29 None
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OpBranchConditional %27 %30 %28
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%30 = OpLabel
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OpStore %j %int_0
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OpBranch %31
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%31 = OpLabel
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%32 = OpLoad %int %j
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%33 = OpSLessThan %bool %32 %int_4
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OpLoopMerge %29 %34 None
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OpBranchConditional %33 %34 %29
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%34 = OpLabel
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%35 = OpLoad %float %f
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%36 = OpLoad %int %i
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%37 = OpLoad %int %j
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%38 = OpAccessChain %_ptr_Input_float %BC %36 %37
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%39 = OpLoad %float %38
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%40 = OpFAdd %float %35 %39
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OpStore %f %40
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%41 = OpLoad %int %j
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%42 = OpIAdd %int %41 %int_1
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OpStore %j %42
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OpBranch %31
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%29 = OpLabel
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%43 = OpLoad %int %i
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%44 = OpIAdd %int %43 %int_1
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OpStore %i %44
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OpBranch %25
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%28 = OpLabel
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%45 = OpLoad %float %f
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OpStore %fo %45
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OpReturn
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OpFunctionEnd
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)";
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const std::string after =
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R"(%main = OpFunction %void None %9
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%24 = OpLabel
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%f = OpVariable %_ptr_Function_float Function
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%i = OpVariable %_ptr_Function_int Function
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%j = OpVariable %_ptr_Function_int Function
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OpStore %f %float_0
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OpStore %i %int_0
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OpBranch %25
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%25 = OpLabel
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%47 = OpPhi %float %float_0 %24 %50 %29
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%46 = OpPhi %int %int_0 %24 %44 %29
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%27 = OpSLessThan %bool %46 %int_4
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OpLoopMerge %28 %29 None
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OpBranchConditional %27 %30 %28
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%30 = OpLabel
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OpStore %j %int_0
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OpBranch %31
|
|
|
|
%31 = OpLabel
|
|
|
|
%50 = OpPhi %float %47 %30 %40 %34
|
|
|
|
%48 = OpPhi %int %int_0 %30 %42 %34
|
|
|
|
%33 = OpSLessThan %bool %48 %int_4
|
|
|
|
OpLoopMerge %29 %34 None
|
|
|
|
OpBranchConditional %33 %34 %29
|
|
|
|
%34 = OpLabel
|
|
|
|
%38 = OpAccessChain %_ptr_Input_float %BC %46 %48
|
|
|
|
%39 = OpLoad %float %38
|
|
|
|
%40 = OpFAdd %float %50 %39
|
|
|
|
OpStore %f %40
|
|
|
|
%42 = OpIAdd %int %48 %int_1
|
|
|
|
OpStore %j %42
|
|
|
|
OpBranch %31
|
|
|
|
%29 = OpLabel
|
|
|
|
%44 = OpIAdd %int %46 %int_1
|
|
|
|
OpStore %i %44
|
|
|
|
OpBranch %25
|
|
|
|
%28 = OpLabel
|
|
|
|
OpStore %fo %47
|
|
|
|
OpReturn
|
|
|
|
OpFunctionEnd
|
|
|
|
)";
|
|
|
|
|
2018-07-11 13:24:49 +00:00
|
|
|
SinglePassRunAndCheck<LocalMultiStoreElimPass>(predefs + before,
|
|
|
|
predefs + after, true, true);
|
2018-04-05 00:15:48 +00:00
|
|
|
}
|
|
|
|
|
2017-06-16 21:37:31 +00:00
|
|
|
TEST_F(LocalSSAElimTest, ForLoopWithContinue) {
|
|
|
|
// #version 140
|
2017-11-27 15:16:41 +00:00
|
|
|
//
|
2017-06-16 21:37:31 +00:00
|
|
|
// in vec4 BC;
|
|
|
|
// out float fo;
|
2017-11-27 15:16:41 +00:00
|
|
|
//
|
2017-06-16 21:37:31 +00:00
|
|
|
// void main()
|
|
|
|
// {
|
|
|
|
// float f = 0.0;
|
|
|
|
// for (int i=0; i<4; i++) {
|
|
|
|
// float t = BC[i];
|
|
|
|
// if (t < 0.0)
|
|
|
|
// continue;
|
|
|
|
// f = f + t;
|
|
|
|
// }
|
|
|
|
// fo = f;
|
|
|
|
// }
|
|
|
|
|
|
|
|
const std::string predefs =
|
|
|
|
R"(OpCapability Shader
|
|
|
|
%1 = OpExtInstImport "GLSL.std.450"
|
|
|
|
OpMemoryModel Logical GLSL450
|
|
|
|
OpEntryPoint Fragment %main "main" %BC %fo
|
|
|
|
OpExecutionMode %main OriginUpperLeft
|
|
|
|
OpSource GLSL 140
|
|
|
|
)";
|
|
|
|
|
2018-02-22 21:05:37 +00:00
|
|
|
const std::string names =
|
2017-06-16 21:37:31 +00:00
|
|
|
R"(OpName %main "main"
|
|
|
|
OpName %f "f"
|
|
|
|
OpName %i "i"
|
|
|
|
OpName %t "t"
|
|
|
|
OpName %BC "BC"
|
|
|
|
OpName %fo "fo"
|
|
|
|
)";
|
|
|
|
|
|
|
|
const std::string predefs2 =
|
|
|
|
R"(%void = OpTypeVoid
|
|
|
|
%9 = OpTypeFunction %void
|
|
|
|
%float = OpTypeFloat 32
|
|
|
|
%_ptr_Function_float = OpTypePointer Function %float
|
|
|
|
%float_0 = OpConstant %float 0
|
|
|
|
%int = OpTypeInt 32 1
|
|
|
|
%_ptr_Function_int = OpTypePointer Function %int
|
|
|
|
%int_0 = OpConstant %int 0
|
|
|
|
%int_4 = OpConstant %int 4
|
|
|
|
%bool = OpTypeBool
|
|
|
|
%v4float = OpTypeVector %float 4
|
|
|
|
%_ptr_Input_v4float = OpTypePointer Input %v4float
|
|
|
|
%BC = OpVariable %_ptr_Input_v4float Input
|
|
|
|
%_ptr_Input_float = OpTypePointer Input %float
|
|
|
|
%int_1 = OpConstant %int 1
|
|
|
|
%_ptr_Output_float = OpTypePointer Output %float
|
|
|
|
%fo = OpVariable %_ptr_Output_float Output
|
|
|
|
)";
|
|
|
|
|
|
|
|
const std::string before =
|
|
|
|
R"(%main = OpFunction %void None %9
|
|
|
|
%23 = OpLabel
|
|
|
|
%f = OpVariable %_ptr_Function_float Function
|
|
|
|
%i = OpVariable %_ptr_Function_int Function
|
|
|
|
%t = OpVariable %_ptr_Function_float Function
|
|
|
|
OpStore %f %float_0
|
|
|
|
OpStore %i %int_0
|
|
|
|
OpBranch %24
|
|
|
|
%24 = OpLabel
|
|
|
|
OpLoopMerge %25 %26 None
|
|
|
|
OpBranch %27
|
|
|
|
%27 = OpLabel
|
|
|
|
%28 = OpLoad %int %i
|
|
|
|
%29 = OpSLessThan %bool %28 %int_4
|
|
|
|
OpBranchConditional %29 %30 %25
|
|
|
|
%30 = OpLabel
|
|
|
|
%31 = OpLoad %int %i
|
|
|
|
%32 = OpAccessChain %_ptr_Input_float %BC %31
|
|
|
|
%33 = OpLoad %float %32
|
|
|
|
OpStore %t %33
|
|
|
|
%34 = OpLoad %float %t
|
|
|
|
%35 = OpFOrdLessThan %bool %34 %float_0
|
|
|
|
OpSelectionMerge %36 None
|
|
|
|
OpBranchConditional %35 %37 %36
|
|
|
|
%37 = OpLabel
|
|
|
|
OpBranch %26
|
|
|
|
%36 = OpLabel
|
|
|
|
%38 = OpLoad %float %f
|
|
|
|
%39 = OpLoad %float %t
|
|
|
|
%40 = OpFAdd %float %38 %39
|
|
|
|
OpStore %f %40
|
|
|
|
OpBranch %26
|
|
|
|
%26 = OpLabel
|
|
|
|
%41 = OpLoad %int %i
|
|
|
|
%42 = OpIAdd %int %41 %int_1
|
|
|
|
OpStore %i %42
|
|
|
|
OpBranch %24
|
|
|
|
%25 = OpLabel
|
|
|
|
%43 = OpLoad %float %f
|
|
|
|
OpStore %fo %43
|
|
|
|
OpReturn
|
|
|
|
OpFunctionEnd
|
|
|
|
)";
|
|
|
|
|
|
|
|
const std::string after =
|
SSA rewrite pass.
This pass replaces the load/store elimination passes. It implements the
SSA re-writing algorithm proposed in
Simple and Efficient Construction of Static Single Assignment Form.
Braun M., Buchwald S., Hack S., Leißa R., Mallon C., Zwinkau A. (2013)
In: Jhala R., De Bosschere K. (eds)
Compiler Construction. CC 2013.
Lecture Notes in Computer Science, vol 7791.
Springer, Berlin, Heidelberg
https://link.springer.com/chapter/10.1007/978-3-642-37051-9_6
In contrast to common eager algorithms based on dominance and dominance
frontier information, this algorithm works backwards from load operations.
When a target variable is loaded, it queries the variable's reaching
definition. If the reaching definition is unknown at the current location,
it searches backwards in the CFG, inserting Phi instructions at join points
in the CFG along the way until it finds the desired store instruction.
The algorithm avoids repeated lookups using memoization.
For reducible CFGs, which are a superset of the structured CFGs in SPIRV,
this algorithm is proven to produce minimal SSA. That is, it inserts the
minimal number of Phi instructions required to ensure the SSA property, but
some Phi instructions may be dead
(https://en.wikipedia.org/wiki/Static_single_assignment_form).
2018-02-22 21:18:29 +00:00
|
|
|
R"(%main = OpFunction %void None %9
|
2017-06-16 21:37:31 +00:00
|
|
|
%23 = OpLabel
|
2018-02-22 21:05:37 +00:00
|
|
|
%f = OpVariable %_ptr_Function_float Function
|
|
|
|
%i = OpVariable %_ptr_Function_int Function
|
|
|
|
%t = OpVariable %_ptr_Function_float Function
|
|
|
|
OpStore %f %float_0
|
|
|
|
OpStore %i %int_0
|
2017-06-16 21:37:31 +00:00
|
|
|
OpBranch %24
|
|
|
|
%24 = OpLabel
|
SSA rewrite pass.
This pass replaces the load/store elimination passes. It implements the
SSA re-writing algorithm proposed in
Simple and Efficient Construction of Static Single Assignment Form.
Braun M., Buchwald S., Hack S., Leißa R., Mallon C., Zwinkau A. (2013)
In: Jhala R., De Bosschere K. (eds)
Compiler Construction. CC 2013.
Lecture Notes in Computer Science, vol 7791.
Springer, Berlin, Heidelberg
https://link.springer.com/chapter/10.1007/978-3-642-37051-9_6
In contrast to common eager algorithms based on dominance and dominance
frontier information, this algorithm works backwards from load operations.
When a target variable is loaded, it queries the variable's reaching
definition. If the reaching definition is unknown at the current location,
it searches backwards in the CFG, inserting Phi instructions at join points
in the CFG along the way until it finds the desired store instruction.
The algorithm avoids repeated lookups using memoization.
For reducible CFGs, which are a superset of the structured CFGs in SPIRV,
this algorithm is proven to produce minimal SSA. That is, it inserts the
minimal number of Phi instructions required to ensure the SSA property, but
some Phi instructions may be dead
(https://en.wikipedia.org/wiki/Static_single_assignment_form).
2018-02-22 21:18:29 +00:00
|
|
|
%45 = OpPhi %float %float_0 %23 %47 %26
|
|
|
|
%44 = OpPhi %int %int_0 %23 %42 %26
|
2017-06-16 21:37:31 +00:00
|
|
|
OpLoopMerge %25 %26 None
|
|
|
|
OpBranch %27
|
|
|
|
%27 = OpLabel
|
SSA rewrite pass.
This pass replaces the load/store elimination passes. It implements the
SSA re-writing algorithm proposed in
Simple and Efficient Construction of Static Single Assignment Form.
Braun M., Buchwald S., Hack S., Leißa R., Mallon C., Zwinkau A. (2013)
In: Jhala R., De Bosschere K. (eds)
Compiler Construction. CC 2013.
Lecture Notes in Computer Science, vol 7791.
Springer, Berlin, Heidelberg
https://link.springer.com/chapter/10.1007/978-3-642-37051-9_6
In contrast to common eager algorithms based on dominance and dominance
frontier information, this algorithm works backwards from load operations.
When a target variable is loaded, it queries the variable's reaching
definition. If the reaching definition is unknown at the current location,
it searches backwards in the CFG, inserting Phi instructions at join points
in the CFG along the way until it finds the desired store instruction.
The algorithm avoids repeated lookups using memoization.
For reducible CFGs, which are a superset of the structured CFGs in SPIRV,
this algorithm is proven to produce minimal SSA. That is, it inserts the
minimal number of Phi instructions required to ensure the SSA property, but
some Phi instructions may be dead
(https://en.wikipedia.org/wiki/Static_single_assignment_form).
2018-02-22 21:18:29 +00:00
|
|
|
%29 = OpSLessThan %bool %44 %int_4
|
2017-06-16 21:37:31 +00:00
|
|
|
OpBranchConditional %29 %30 %25
|
|
|
|
%30 = OpLabel
|
SSA rewrite pass.
This pass replaces the load/store elimination passes. It implements the
SSA re-writing algorithm proposed in
Simple and Efficient Construction of Static Single Assignment Form.
Braun M., Buchwald S., Hack S., Leißa R., Mallon C., Zwinkau A. (2013)
In: Jhala R., De Bosschere K. (eds)
Compiler Construction. CC 2013.
Lecture Notes in Computer Science, vol 7791.
Springer, Berlin, Heidelberg
https://link.springer.com/chapter/10.1007/978-3-642-37051-9_6
In contrast to common eager algorithms based on dominance and dominance
frontier information, this algorithm works backwards from load operations.
When a target variable is loaded, it queries the variable's reaching
definition. If the reaching definition is unknown at the current location,
it searches backwards in the CFG, inserting Phi instructions at join points
in the CFG along the way until it finds the desired store instruction.
The algorithm avoids repeated lookups using memoization.
For reducible CFGs, which are a superset of the structured CFGs in SPIRV,
this algorithm is proven to produce minimal SSA. That is, it inserts the
minimal number of Phi instructions required to ensure the SSA property, but
some Phi instructions may be dead
(https://en.wikipedia.org/wiki/Static_single_assignment_form).
2018-02-22 21:18:29 +00:00
|
|
|
%32 = OpAccessChain %_ptr_Input_float %BC %44
|
2017-06-16 21:37:31 +00:00
|
|
|
%33 = OpLoad %float %32
|
2018-02-22 21:05:37 +00:00
|
|
|
OpStore %t %33
|
2017-06-16 21:37:31 +00:00
|
|
|
%35 = OpFOrdLessThan %bool %33 %float_0
|
|
|
|
OpSelectionMerge %36 None
|
|
|
|
OpBranchConditional %35 %37 %36
|
|
|
|
%37 = OpLabel
|
|
|
|
OpBranch %26
|
|
|
|
%36 = OpLabel
|
SSA rewrite pass.
This pass replaces the load/store elimination passes. It implements the
SSA re-writing algorithm proposed in
Simple and Efficient Construction of Static Single Assignment Form.
Braun M., Buchwald S., Hack S., Leißa R., Mallon C., Zwinkau A. (2013)
In: Jhala R., De Bosschere K. (eds)
Compiler Construction. CC 2013.
Lecture Notes in Computer Science, vol 7791.
Springer, Berlin, Heidelberg
https://link.springer.com/chapter/10.1007/978-3-642-37051-9_6
In contrast to common eager algorithms based on dominance and dominance
frontier information, this algorithm works backwards from load operations.
When a target variable is loaded, it queries the variable's reaching
definition. If the reaching definition is unknown at the current location,
it searches backwards in the CFG, inserting Phi instructions at join points
in the CFG along the way until it finds the desired store instruction.
The algorithm avoids repeated lookups using memoization.
For reducible CFGs, which are a superset of the structured CFGs in SPIRV,
this algorithm is proven to produce minimal SSA. That is, it inserts the
minimal number of Phi instructions required to ensure the SSA property, but
some Phi instructions may be dead
(https://en.wikipedia.org/wiki/Static_single_assignment_form).
2018-02-22 21:18:29 +00:00
|
|
|
%40 = OpFAdd %float %45 %33
|
2018-02-22 21:05:37 +00:00
|
|
|
OpStore %f %40
|
2017-06-16 21:37:31 +00:00
|
|
|
OpBranch %26
|
|
|
|
%26 = OpLabel
|
SSA rewrite pass.
This pass replaces the load/store elimination passes. It implements the
SSA re-writing algorithm proposed in
Simple and Efficient Construction of Static Single Assignment Form.
Braun M., Buchwald S., Hack S., Leißa R., Mallon C., Zwinkau A. (2013)
In: Jhala R., De Bosschere K. (eds)
Compiler Construction. CC 2013.
Lecture Notes in Computer Science, vol 7791.
Springer, Berlin, Heidelberg
https://link.springer.com/chapter/10.1007/978-3-642-37051-9_6
In contrast to common eager algorithms based on dominance and dominance
frontier information, this algorithm works backwards from load operations.
When a target variable is loaded, it queries the variable's reaching
definition. If the reaching definition is unknown at the current location,
it searches backwards in the CFG, inserting Phi instructions at join points
in the CFG along the way until it finds the desired store instruction.
The algorithm avoids repeated lookups using memoization.
For reducible CFGs, which are a superset of the structured CFGs in SPIRV,
this algorithm is proven to produce minimal SSA. That is, it inserts the
minimal number of Phi instructions required to ensure the SSA property, but
some Phi instructions may be dead
(https://en.wikipedia.org/wiki/Static_single_assignment_form).
2018-02-22 21:18:29 +00:00
|
|
|
%47 = OpPhi %float %45 %37 %40 %36
|
|
|
|
%42 = OpIAdd %int %44 %int_1
|
2018-02-22 21:05:37 +00:00
|
|
|
OpStore %i %42
|
2017-06-16 21:37:31 +00:00
|
|
|
OpBranch %24
|
|
|
|
%25 = OpLabel
|
SSA rewrite pass.
This pass replaces the load/store elimination passes. It implements the
SSA re-writing algorithm proposed in
Simple and Efficient Construction of Static Single Assignment Form.
Braun M., Buchwald S., Hack S., Leißa R., Mallon C., Zwinkau A. (2013)
In: Jhala R., De Bosschere K. (eds)
Compiler Construction. CC 2013.
Lecture Notes in Computer Science, vol 7791.
Springer, Berlin, Heidelberg
https://link.springer.com/chapter/10.1007/978-3-642-37051-9_6
In contrast to common eager algorithms based on dominance and dominance
frontier information, this algorithm works backwards from load operations.
When a target variable is loaded, it queries the variable's reaching
definition. If the reaching definition is unknown at the current location,
it searches backwards in the CFG, inserting Phi instructions at join points
in the CFG along the way until it finds the desired store instruction.
The algorithm avoids repeated lookups using memoization.
For reducible CFGs, which are a superset of the structured CFGs in SPIRV,
this algorithm is proven to produce minimal SSA. That is, it inserts the
minimal number of Phi instructions required to ensure the SSA property, but
some Phi instructions may be dead
(https://en.wikipedia.org/wiki/Static_single_assignment_form).
2018-02-22 21:18:29 +00:00
|
|
|
OpStore %fo %45
|
2017-06-16 21:37:31 +00:00
|
|
|
OpReturn
|
|
|
|
OpFunctionEnd
|
|
|
|
)";
|
|
|
|
|
2018-07-11 13:24:49 +00:00
|
|
|
SinglePassRunAndCheck<LocalMultiStoreElimPass>(
|
2018-02-22 21:05:37 +00:00
|
|
|
predefs + names + predefs2 + before, predefs + names + predefs2 + after,
|
|
|
|
true, true);
|
2017-06-16 21:37:31 +00:00
|
|
|
}
|
|
|
|
|
|
|
|
TEST_F(LocalSSAElimTest, ForLoopWithBreak) {
|
|
|
|
// #version 140
|
2017-11-27 15:16:41 +00:00
|
|
|
//
|
2017-06-16 21:37:31 +00:00
|
|
|
// in vec4 BC;
|
|
|
|
// out float fo;
|
2017-11-27 15:16:41 +00:00
|
|
|
//
|
2017-06-16 21:37:31 +00:00
|
|
|
// void main()
|
|
|
|
// {
|
|
|
|
// float f = 0.0;
|
|
|
|
// for (int i=0; i<4; i++) {
|
|
|
|
// float t = f + BC[i];
|
|
|
|
// if (t > 1.0)
|
|
|
|
// break;
|
|
|
|
// f = t;
|
|
|
|
// }
|
|
|
|
// fo = f;
|
|
|
|
// }
|
|
|
|
|
|
|
|
const std::string predefs =
|
|
|
|
R"(OpCapability Shader
|
|
|
|
%1 = OpExtInstImport "GLSL.std.450"
|
|
|
|
OpMemoryModel Logical GLSL450
|
|
|
|
OpEntryPoint Fragment %main "main" %BC %fo
|
|
|
|
OpExecutionMode %main OriginUpperLeft
|
|
|
|
OpSource GLSL 140
|
2018-02-22 21:05:37 +00:00
|
|
|
OpName %main "main"
|
2017-06-16 21:37:31 +00:00
|
|
|
OpName %f "f"
|
|
|
|
OpName %i "i"
|
|
|
|
OpName %t "t"
|
|
|
|
OpName %BC "BC"
|
|
|
|
OpName %fo "fo"
|
2018-02-22 21:05:37 +00:00
|
|
|
%void = OpTypeVoid
|
2017-06-16 21:37:31 +00:00
|
|
|
%9 = OpTypeFunction %void
|
|
|
|
%float = OpTypeFloat 32
|
|
|
|
%_ptr_Function_float = OpTypePointer Function %float
|
|
|
|
%float_0 = OpConstant %float 0
|
|
|
|
%int = OpTypeInt 32 1
|
|
|
|
%_ptr_Function_int = OpTypePointer Function %int
|
|
|
|
%int_0 = OpConstant %int 0
|
|
|
|
%int_4 = OpConstant %int 4
|
|
|
|
%bool = OpTypeBool
|
|
|
|
%v4float = OpTypeVector %float 4
|
|
|
|
%_ptr_Input_v4float = OpTypePointer Input %v4float
|
|
|
|
%BC = OpVariable %_ptr_Input_v4float Input
|
|
|
|
%_ptr_Input_float = OpTypePointer Input %float
|
|
|
|
%float_1 = OpConstant %float 1
|
|
|
|
%int_1 = OpConstant %int 1
|
|
|
|
%_ptr_Output_float = OpTypePointer Output %float
|
|
|
|
%fo = OpVariable %_ptr_Output_float Output
|
|
|
|
)";
|
|
|
|
|
|
|
|
const std::string before =
|
|
|
|
R"(%main = OpFunction %void None %9
|
|
|
|
%24 = OpLabel
|
|
|
|
%f = OpVariable %_ptr_Function_float Function
|
|
|
|
%i = OpVariable %_ptr_Function_int Function
|
|
|
|
%t = OpVariable %_ptr_Function_float Function
|
|
|
|
OpStore %f %float_0
|
|
|
|
OpStore %i %int_0
|
|
|
|
OpBranch %25
|
|
|
|
%25 = OpLabel
|
|
|
|
OpLoopMerge %26 %27 None
|
|
|
|
OpBranch %28
|
|
|
|
%28 = OpLabel
|
|
|
|
%29 = OpLoad %int %i
|
|
|
|
%30 = OpSLessThan %bool %29 %int_4
|
|
|
|
OpBranchConditional %30 %31 %26
|
|
|
|
%31 = OpLabel
|
|
|
|
%32 = OpLoad %float %f
|
|
|
|
%33 = OpLoad %int %i
|
|
|
|
%34 = OpAccessChain %_ptr_Input_float %BC %33
|
|
|
|
%35 = OpLoad %float %34
|
|
|
|
%36 = OpFAdd %float %32 %35
|
|
|
|
OpStore %t %36
|
|
|
|
%37 = OpLoad %float %t
|
|
|
|
%38 = OpFOrdGreaterThan %bool %37 %float_1
|
|
|
|
OpSelectionMerge %39 None
|
|
|
|
OpBranchConditional %38 %40 %39
|
|
|
|
%40 = OpLabel
|
|
|
|
OpBranch %26
|
|
|
|
%39 = OpLabel
|
|
|
|
%41 = OpLoad %float %t
|
|
|
|
OpStore %f %41
|
|
|
|
OpBranch %27
|
|
|
|
%27 = OpLabel
|
|
|
|
%42 = OpLoad %int %i
|
|
|
|
%43 = OpIAdd %int %42 %int_1
|
|
|
|
OpStore %i %43
|
|
|
|
OpBranch %25
|
|
|
|
%26 = OpLabel
|
|
|
|
%44 = OpLoad %float %f
|
|
|
|
OpStore %fo %44
|
|
|
|
OpReturn
|
|
|
|
OpFunctionEnd
|
|
|
|
)";
|
|
|
|
|
|
|
|
const std::string after =
|
SSA rewrite pass.
This pass replaces the load/store elimination passes. It implements the
SSA re-writing algorithm proposed in
Simple and Efficient Construction of Static Single Assignment Form.
Braun M., Buchwald S., Hack S., Leißa R., Mallon C., Zwinkau A. (2013)
In: Jhala R., De Bosschere K. (eds)
Compiler Construction. CC 2013.
Lecture Notes in Computer Science, vol 7791.
Springer, Berlin, Heidelberg
https://link.springer.com/chapter/10.1007/978-3-642-37051-9_6
In contrast to common eager algorithms based on dominance and dominance
frontier information, this algorithm works backwards from load operations.
When a target variable is loaded, it queries the variable's reaching
definition. If the reaching definition is unknown at the current location,
it searches backwards in the CFG, inserting Phi instructions at join points
in the CFG along the way until it finds the desired store instruction.
The algorithm avoids repeated lookups using memoization.
For reducible CFGs, which are a superset of the structured CFGs in SPIRV,
this algorithm is proven to produce minimal SSA. That is, it inserts the
minimal number of Phi instructions required to ensure the SSA property, but
some Phi instructions may be dead
(https://en.wikipedia.org/wiki/Static_single_assignment_form).
2018-02-22 21:18:29 +00:00
|
|
|
R"(%main = OpFunction %void None %9
|
2017-06-16 21:37:31 +00:00
|
|
|
%24 = OpLabel
|
2018-02-22 21:05:37 +00:00
|
|
|
%f = OpVariable %_ptr_Function_float Function
|
|
|
|
%i = OpVariable %_ptr_Function_int Function
|
|
|
|
%t = OpVariable %_ptr_Function_float Function
|
|
|
|
OpStore %f %float_0
|
|
|
|
OpStore %i %int_0
|
2017-06-16 21:37:31 +00:00
|
|
|
OpBranch %25
|
|
|
|
%25 = OpLabel
|
SSA rewrite pass.
This pass replaces the load/store elimination passes. It implements the
SSA re-writing algorithm proposed in
Simple and Efficient Construction of Static Single Assignment Form.
Braun M., Buchwald S., Hack S., Leißa R., Mallon C., Zwinkau A. (2013)
In: Jhala R., De Bosschere K. (eds)
Compiler Construction. CC 2013.
Lecture Notes in Computer Science, vol 7791.
Springer, Berlin, Heidelberg
https://link.springer.com/chapter/10.1007/978-3-642-37051-9_6
In contrast to common eager algorithms based on dominance and dominance
frontier information, this algorithm works backwards from load operations.
When a target variable is loaded, it queries the variable's reaching
definition. If the reaching definition is unknown at the current location,
it searches backwards in the CFG, inserting Phi instructions at join points
in the CFG along the way until it finds the desired store instruction.
The algorithm avoids repeated lookups using memoization.
For reducible CFGs, which are a superset of the structured CFGs in SPIRV,
this algorithm is proven to produce minimal SSA. That is, it inserts the
minimal number of Phi instructions required to ensure the SSA property, but
some Phi instructions may be dead
(https://en.wikipedia.org/wiki/Static_single_assignment_form).
2018-02-22 21:18:29 +00:00
|
|
|
%46 = OpPhi %float %float_0 %24 %36 %27
|
|
|
|
%45 = OpPhi %int %int_0 %24 %43 %27
|
2017-06-16 21:37:31 +00:00
|
|
|
OpLoopMerge %26 %27 None
|
|
|
|
OpBranch %28
|
|
|
|
%28 = OpLabel
|
SSA rewrite pass.
This pass replaces the load/store elimination passes. It implements the
SSA re-writing algorithm proposed in
Simple and Efficient Construction of Static Single Assignment Form.
Braun M., Buchwald S., Hack S., Leißa R., Mallon C., Zwinkau A. (2013)
In: Jhala R., De Bosschere K. (eds)
Compiler Construction. CC 2013.
Lecture Notes in Computer Science, vol 7791.
Springer, Berlin, Heidelberg
https://link.springer.com/chapter/10.1007/978-3-642-37051-9_6
In contrast to common eager algorithms based on dominance and dominance
frontier information, this algorithm works backwards from load operations.
When a target variable is loaded, it queries the variable's reaching
definition. If the reaching definition is unknown at the current location,
it searches backwards in the CFG, inserting Phi instructions at join points
in the CFG along the way until it finds the desired store instruction.
The algorithm avoids repeated lookups using memoization.
For reducible CFGs, which are a superset of the structured CFGs in SPIRV,
this algorithm is proven to produce minimal SSA. That is, it inserts the
minimal number of Phi instructions required to ensure the SSA property, but
some Phi instructions may be dead
(https://en.wikipedia.org/wiki/Static_single_assignment_form).
2018-02-22 21:18:29 +00:00
|
|
|
%30 = OpSLessThan %bool %45 %int_4
|
2017-06-16 21:37:31 +00:00
|
|
|
OpBranchConditional %30 %31 %26
|
|
|
|
%31 = OpLabel
|
SSA rewrite pass.
This pass replaces the load/store elimination passes. It implements the
SSA re-writing algorithm proposed in
Simple and Efficient Construction of Static Single Assignment Form.
Braun M., Buchwald S., Hack S., Leißa R., Mallon C., Zwinkau A. (2013)
In: Jhala R., De Bosschere K. (eds)
Compiler Construction. CC 2013.
Lecture Notes in Computer Science, vol 7791.
Springer, Berlin, Heidelberg
https://link.springer.com/chapter/10.1007/978-3-642-37051-9_6
In contrast to common eager algorithms based on dominance and dominance
frontier information, this algorithm works backwards from load operations.
When a target variable is loaded, it queries the variable's reaching
definition. If the reaching definition is unknown at the current location,
it searches backwards in the CFG, inserting Phi instructions at join points
in the CFG along the way until it finds the desired store instruction.
The algorithm avoids repeated lookups using memoization.
For reducible CFGs, which are a superset of the structured CFGs in SPIRV,
this algorithm is proven to produce minimal SSA. That is, it inserts the
minimal number of Phi instructions required to ensure the SSA property, but
some Phi instructions may be dead
(https://en.wikipedia.org/wiki/Static_single_assignment_form).
2018-02-22 21:18:29 +00:00
|
|
|
%34 = OpAccessChain %_ptr_Input_float %BC %45
|
2017-06-16 21:37:31 +00:00
|
|
|
%35 = OpLoad %float %34
|
SSA rewrite pass.
This pass replaces the load/store elimination passes. It implements the
SSA re-writing algorithm proposed in
Simple and Efficient Construction of Static Single Assignment Form.
Braun M., Buchwald S., Hack S., Leißa R., Mallon C., Zwinkau A. (2013)
In: Jhala R., De Bosschere K. (eds)
Compiler Construction. CC 2013.
Lecture Notes in Computer Science, vol 7791.
Springer, Berlin, Heidelberg
https://link.springer.com/chapter/10.1007/978-3-642-37051-9_6
In contrast to common eager algorithms based on dominance and dominance
frontier information, this algorithm works backwards from load operations.
When a target variable is loaded, it queries the variable's reaching
definition. If the reaching definition is unknown at the current location,
it searches backwards in the CFG, inserting Phi instructions at join points
in the CFG along the way until it finds the desired store instruction.
The algorithm avoids repeated lookups using memoization.
For reducible CFGs, which are a superset of the structured CFGs in SPIRV,
this algorithm is proven to produce minimal SSA. That is, it inserts the
minimal number of Phi instructions required to ensure the SSA property, but
some Phi instructions may be dead
(https://en.wikipedia.org/wiki/Static_single_assignment_form).
2018-02-22 21:18:29 +00:00
|
|
|
%36 = OpFAdd %float %46 %35
|
2018-02-22 21:05:37 +00:00
|
|
|
OpStore %t %36
|
2017-06-16 21:37:31 +00:00
|
|
|
%38 = OpFOrdGreaterThan %bool %36 %float_1
|
|
|
|
OpSelectionMerge %39 None
|
|
|
|
OpBranchConditional %38 %40 %39
|
|
|
|
%40 = OpLabel
|
|
|
|
OpBranch %26
|
|
|
|
%39 = OpLabel
|
2018-02-22 21:05:37 +00:00
|
|
|
OpStore %f %36
|
2017-06-16 21:37:31 +00:00
|
|
|
OpBranch %27
|
|
|
|
%27 = OpLabel
|
SSA rewrite pass.
This pass replaces the load/store elimination passes. It implements the
SSA re-writing algorithm proposed in
Simple and Efficient Construction of Static Single Assignment Form.
Braun M., Buchwald S., Hack S., Leißa R., Mallon C., Zwinkau A. (2013)
In: Jhala R., De Bosschere K. (eds)
Compiler Construction. CC 2013.
Lecture Notes in Computer Science, vol 7791.
Springer, Berlin, Heidelberg
https://link.springer.com/chapter/10.1007/978-3-642-37051-9_6
In contrast to common eager algorithms based on dominance and dominance
frontier information, this algorithm works backwards from load operations.
When a target variable is loaded, it queries the variable's reaching
definition. If the reaching definition is unknown at the current location,
it searches backwards in the CFG, inserting Phi instructions at join points
in the CFG along the way until it finds the desired store instruction.
The algorithm avoids repeated lookups using memoization.
For reducible CFGs, which are a superset of the structured CFGs in SPIRV,
this algorithm is proven to produce minimal SSA. That is, it inserts the
minimal number of Phi instructions required to ensure the SSA property, but
some Phi instructions may be dead
(https://en.wikipedia.org/wiki/Static_single_assignment_form).
2018-02-22 21:18:29 +00:00
|
|
|
%43 = OpIAdd %int %45 %int_1
|
2018-02-22 21:05:37 +00:00
|
|
|
OpStore %i %43
|
2017-06-16 21:37:31 +00:00
|
|
|
OpBranch %25
|
|
|
|
%26 = OpLabel
|
SSA rewrite pass.
This pass replaces the load/store elimination passes. It implements the
SSA re-writing algorithm proposed in
Simple and Efficient Construction of Static Single Assignment Form.
Braun M., Buchwald S., Hack S., Leißa R., Mallon C., Zwinkau A. (2013)
In: Jhala R., De Bosschere K. (eds)
Compiler Construction. CC 2013.
Lecture Notes in Computer Science, vol 7791.
Springer, Berlin, Heidelberg
https://link.springer.com/chapter/10.1007/978-3-642-37051-9_6
In contrast to common eager algorithms based on dominance and dominance
frontier information, this algorithm works backwards from load operations.
When a target variable is loaded, it queries the variable's reaching
definition. If the reaching definition is unknown at the current location,
it searches backwards in the CFG, inserting Phi instructions at join points
in the CFG along the way until it finds the desired store instruction.
The algorithm avoids repeated lookups using memoization.
For reducible CFGs, which are a superset of the structured CFGs in SPIRV,
this algorithm is proven to produce minimal SSA. That is, it inserts the
minimal number of Phi instructions required to ensure the SSA property, but
some Phi instructions may be dead
(https://en.wikipedia.org/wiki/Static_single_assignment_form).
2018-02-22 21:18:29 +00:00
|
|
|
OpStore %fo %46
|
2017-06-16 21:37:31 +00:00
|
|
|
OpReturn
|
|
|
|
OpFunctionEnd
|
|
|
|
)";
|
|
|
|
|
2018-07-11 13:24:49 +00:00
|
|
|
SinglePassRunAndCheck<LocalMultiStoreElimPass>(predefs + before,
|
|
|
|
predefs + after, true, true);
|
2017-06-16 21:37:31 +00:00
|
|
|
}
|
|
|
|
|
|
|
|
TEST_F(LocalSSAElimTest, SwapProblem) {
|
|
|
|
// #version 140
|
2017-11-27 15:16:41 +00:00
|
|
|
//
|
2017-06-16 21:37:31 +00:00
|
|
|
// in float fe;
|
|
|
|
// out float fo;
|
2017-11-27 15:16:41 +00:00
|
|
|
//
|
2017-06-16 21:37:31 +00:00
|
|
|
// void main()
|
|
|
|
// {
|
|
|
|
// float f1 = 0.0;
|
|
|
|
// float f2 = 1.0;
|
|
|
|
// int ie = int(fe);
|
|
|
|
// for (int i=0; i<ie; i++) {
|
|
|
|
// float t = f1;
|
|
|
|
// f1 = f2;
|
|
|
|
// f2 = t;
|
|
|
|
// }
|
|
|
|
// fo = f1;
|
|
|
|
// }
|
|
|
|
|
|
|
|
const std::string predefs =
|
|
|
|
R"(OpCapability Shader
|
|
|
|
%1 = OpExtInstImport "GLSL.std.450"
|
|
|
|
OpMemoryModel Logical GLSL450
|
|
|
|
OpEntryPoint Fragment %main "main" %fe %fo
|
|
|
|
OpExecutionMode %main OriginUpperLeft
|
|
|
|
OpSource GLSL 140
|
2018-02-22 21:05:37 +00:00
|
|
|
OpName %main "main"
|
2017-06-16 21:37:31 +00:00
|
|
|
OpName %f1 "f1"
|
|
|
|
OpName %f2 "f2"
|
|
|
|
OpName %ie "ie"
|
|
|
|
OpName %fe "fe"
|
|
|
|
OpName %i "i"
|
|
|
|
OpName %t "t"
|
|
|
|
OpName %fo "fo"
|
2018-02-22 21:05:37 +00:00
|
|
|
%void = OpTypeVoid
|
2017-06-16 21:37:31 +00:00
|
|
|
%11 = OpTypeFunction %void
|
|
|
|
%float = OpTypeFloat 32
|
|
|
|
%_ptr_Function_float = OpTypePointer Function %float
|
|
|
|
%float_0 = OpConstant %float 0
|
|
|
|
%float_1 = OpConstant %float 1
|
|
|
|
%int = OpTypeInt 32 1
|
|
|
|
%_ptr_Function_int = OpTypePointer Function %int
|
|
|
|
%_ptr_Input_float = OpTypePointer Input %float
|
|
|
|
%fe = OpVariable %_ptr_Input_float Input
|
|
|
|
%int_0 = OpConstant %int 0
|
|
|
|
%bool = OpTypeBool
|
|
|
|
%int_1 = OpConstant %int 1
|
|
|
|
%_ptr_Output_float = OpTypePointer Output %float
|
|
|
|
%fo = OpVariable %_ptr_Output_float Output
|
|
|
|
)";
|
|
|
|
|
|
|
|
const std::string before =
|
|
|
|
R"(%main = OpFunction %void None %11
|
|
|
|
%23 = OpLabel
|
|
|
|
%f1 = OpVariable %_ptr_Function_float Function
|
|
|
|
%f2 = OpVariable %_ptr_Function_float Function
|
|
|
|
%ie = OpVariable %_ptr_Function_int Function
|
|
|
|
%i = OpVariable %_ptr_Function_int Function
|
|
|
|
%t = OpVariable %_ptr_Function_float Function
|
|
|
|
OpStore %f1 %float_0
|
|
|
|
OpStore %f2 %float_1
|
|
|
|
%24 = OpLoad %float %fe
|
|
|
|
%25 = OpConvertFToS %int %24
|
|
|
|
OpStore %ie %25
|
|
|
|
OpStore %i %int_0
|
|
|
|
OpBranch %26
|
|
|
|
%26 = OpLabel
|
|
|
|
OpLoopMerge %27 %28 None
|
|
|
|
OpBranch %29
|
|
|
|
%29 = OpLabel
|
|
|
|
%30 = OpLoad %int %i
|
2017-12-08 17:44:15 +00:00
|
|
|
%31 = OpLoad %int %ie
|
2017-06-16 21:37:31 +00:00
|
|
|
%32 = OpSLessThan %bool %30 %31
|
|
|
|
OpBranchConditional %32 %33 %27
|
|
|
|
%33 = OpLabel
|
|
|
|
%34 = OpLoad %float %f1
|
|
|
|
OpStore %t %34
|
|
|
|
%35 = OpLoad %float %f2
|
|
|
|
OpStore %f1 %35
|
|
|
|
%36 = OpLoad %float %t
|
|
|
|
OpStore %f2 %36
|
|
|
|
OpBranch %28
|
|
|
|
%28 = OpLabel
|
|
|
|
%37 = OpLoad %int %i
|
|
|
|
%38 = OpIAdd %int %37 %int_1
|
|
|
|
OpStore %i %38
|
|
|
|
OpBranch %26
|
|
|
|
%27 = OpLabel
|
|
|
|
%39 = OpLoad %float %f1
|
|
|
|
OpStore %fo %39
|
|
|
|
OpReturn
|
|
|
|
OpFunctionEnd
|
|
|
|
)";
|
|
|
|
|
|
|
|
const std::string after =
|
SSA rewrite pass.
This pass replaces the load/store elimination passes. It implements the
SSA re-writing algorithm proposed in
Simple and Efficient Construction of Static Single Assignment Form.
Braun M., Buchwald S., Hack S., Leißa R., Mallon C., Zwinkau A. (2013)
In: Jhala R., De Bosschere K. (eds)
Compiler Construction. CC 2013.
Lecture Notes in Computer Science, vol 7791.
Springer, Berlin, Heidelberg
https://link.springer.com/chapter/10.1007/978-3-642-37051-9_6
In contrast to common eager algorithms based on dominance and dominance
frontier information, this algorithm works backwards from load operations.
When a target variable is loaded, it queries the variable's reaching
definition. If the reaching definition is unknown at the current location,
it searches backwards in the CFG, inserting Phi instructions at join points
in the CFG along the way until it finds the desired store instruction.
The algorithm avoids repeated lookups using memoization.
For reducible CFGs, which are a superset of the structured CFGs in SPIRV,
this algorithm is proven to produce minimal SSA. That is, it inserts the
minimal number of Phi instructions required to ensure the SSA property, but
some Phi instructions may be dead
(https://en.wikipedia.org/wiki/Static_single_assignment_form).
2018-02-22 21:18:29 +00:00
|
|
|
R"(%main = OpFunction %void None %11
|
2017-06-16 21:37:31 +00:00
|
|
|
%23 = OpLabel
|
2018-02-22 21:05:37 +00:00
|
|
|
%f1 = OpVariable %_ptr_Function_float Function
|
|
|
|
%f2 = OpVariable %_ptr_Function_float Function
|
|
|
|
%ie = OpVariable %_ptr_Function_int Function
|
|
|
|
%i = OpVariable %_ptr_Function_int Function
|
|
|
|
%t = OpVariable %_ptr_Function_float Function
|
|
|
|
OpStore %f1 %float_0
|
|
|
|
OpStore %f2 %float_1
|
2017-06-16 21:37:31 +00:00
|
|
|
%24 = OpLoad %float %fe
|
|
|
|
%25 = OpConvertFToS %int %24
|
2018-02-22 21:05:37 +00:00
|
|
|
OpStore %ie %25
|
|
|
|
OpStore %i %int_0
|
2017-06-16 21:37:31 +00:00
|
|
|
OpBranch %26
|
|
|
|
%26 = OpLabel
|
SSA rewrite pass.
This pass replaces the load/store elimination passes. It implements the
SSA re-writing algorithm proposed in
Simple and Efficient Construction of Static Single Assignment Form.
Braun M., Buchwald S., Hack S., Leißa R., Mallon C., Zwinkau A. (2013)
In: Jhala R., De Bosschere K. (eds)
Compiler Construction. CC 2013.
Lecture Notes in Computer Science, vol 7791.
Springer, Berlin, Heidelberg
https://link.springer.com/chapter/10.1007/978-3-642-37051-9_6
In contrast to common eager algorithms based on dominance and dominance
frontier information, this algorithm works backwards from load operations.
When a target variable is loaded, it queries the variable's reaching
definition. If the reaching definition is unknown at the current location,
it searches backwards in the CFG, inserting Phi instructions at join points
in the CFG along the way until it finds the desired store instruction.
The algorithm avoids repeated lookups using memoization.
For reducible CFGs, which are a superset of the structured CFGs in SPIRV,
this algorithm is proven to produce minimal SSA. That is, it inserts the
minimal number of Phi instructions required to ensure the SSA property, but
some Phi instructions may be dead
(https://en.wikipedia.org/wiki/Static_single_assignment_form).
2018-02-22 21:18:29 +00:00
|
|
|
%43 = OpPhi %float %float_1 %23 %42 %28
|
|
|
|
%42 = OpPhi %float %float_0 %23 %43 %28
|
|
|
|
%40 = OpPhi %int %int_0 %23 %38 %28
|
2017-06-16 21:37:31 +00:00
|
|
|
OpLoopMerge %27 %28 None
|
|
|
|
OpBranch %29
|
|
|
|
%29 = OpLabel
|
SSA rewrite pass.
This pass replaces the load/store elimination passes. It implements the
SSA re-writing algorithm proposed in
Simple and Efficient Construction of Static Single Assignment Form.
Braun M., Buchwald S., Hack S., Leißa R., Mallon C., Zwinkau A. (2013)
In: Jhala R., De Bosschere K. (eds)
Compiler Construction. CC 2013.
Lecture Notes in Computer Science, vol 7791.
Springer, Berlin, Heidelberg
https://link.springer.com/chapter/10.1007/978-3-642-37051-9_6
In contrast to common eager algorithms based on dominance and dominance
frontier information, this algorithm works backwards from load operations.
When a target variable is loaded, it queries the variable's reaching
definition. If the reaching definition is unknown at the current location,
it searches backwards in the CFG, inserting Phi instructions at join points
in the CFG along the way until it finds the desired store instruction.
The algorithm avoids repeated lookups using memoization.
For reducible CFGs, which are a superset of the structured CFGs in SPIRV,
this algorithm is proven to produce minimal SSA. That is, it inserts the
minimal number of Phi instructions required to ensure the SSA property, but
some Phi instructions may be dead
(https://en.wikipedia.org/wiki/Static_single_assignment_form).
2018-02-22 21:18:29 +00:00
|
|
|
%32 = OpSLessThan %bool %40 %25
|
2017-06-16 21:37:31 +00:00
|
|
|
OpBranchConditional %32 %33 %27
|
|
|
|
%33 = OpLabel
|
SSA rewrite pass.
This pass replaces the load/store elimination passes. It implements the
SSA re-writing algorithm proposed in
Simple and Efficient Construction of Static Single Assignment Form.
Braun M., Buchwald S., Hack S., Leißa R., Mallon C., Zwinkau A. (2013)
In: Jhala R., De Bosschere K. (eds)
Compiler Construction. CC 2013.
Lecture Notes in Computer Science, vol 7791.
Springer, Berlin, Heidelberg
https://link.springer.com/chapter/10.1007/978-3-642-37051-9_6
In contrast to common eager algorithms based on dominance and dominance
frontier information, this algorithm works backwards from load operations.
When a target variable is loaded, it queries the variable's reaching
definition. If the reaching definition is unknown at the current location,
it searches backwards in the CFG, inserting Phi instructions at join points
in the CFG along the way until it finds the desired store instruction.
The algorithm avoids repeated lookups using memoization.
For reducible CFGs, which are a superset of the structured CFGs in SPIRV,
this algorithm is proven to produce minimal SSA. That is, it inserts the
minimal number of Phi instructions required to ensure the SSA property, but
some Phi instructions may be dead
(https://en.wikipedia.org/wiki/Static_single_assignment_form).
2018-02-22 21:18:29 +00:00
|
|
|
OpStore %t %42
|
|
|
|
OpStore %f1 %43
|
|
|
|
OpStore %f2 %42
|
2017-06-16 21:37:31 +00:00
|
|
|
OpBranch %28
|
|
|
|
%28 = OpLabel
|
SSA rewrite pass.
This pass replaces the load/store elimination passes. It implements the
SSA re-writing algorithm proposed in
Simple and Efficient Construction of Static Single Assignment Form.
Braun M., Buchwald S., Hack S., Leißa R., Mallon C., Zwinkau A. (2013)
In: Jhala R., De Bosschere K. (eds)
Compiler Construction. CC 2013.
Lecture Notes in Computer Science, vol 7791.
Springer, Berlin, Heidelberg
https://link.springer.com/chapter/10.1007/978-3-642-37051-9_6
In contrast to common eager algorithms based on dominance and dominance
frontier information, this algorithm works backwards from load operations.
When a target variable is loaded, it queries the variable's reaching
definition. If the reaching definition is unknown at the current location,
it searches backwards in the CFG, inserting Phi instructions at join points
in the CFG along the way until it finds the desired store instruction.
The algorithm avoids repeated lookups using memoization.
For reducible CFGs, which are a superset of the structured CFGs in SPIRV,
this algorithm is proven to produce minimal SSA. That is, it inserts the
minimal number of Phi instructions required to ensure the SSA property, but
some Phi instructions may be dead
(https://en.wikipedia.org/wiki/Static_single_assignment_form).
2018-02-22 21:18:29 +00:00
|
|
|
%38 = OpIAdd %int %40 %int_1
|
2018-02-22 21:05:37 +00:00
|
|
|
OpStore %i %38
|
2017-06-16 21:37:31 +00:00
|
|
|
OpBranch %26
|
|
|
|
%27 = OpLabel
|
SSA rewrite pass.
This pass replaces the load/store elimination passes. It implements the
SSA re-writing algorithm proposed in
Simple and Efficient Construction of Static Single Assignment Form.
Braun M., Buchwald S., Hack S., Leißa R., Mallon C., Zwinkau A. (2013)
In: Jhala R., De Bosschere K. (eds)
Compiler Construction. CC 2013.
Lecture Notes in Computer Science, vol 7791.
Springer, Berlin, Heidelberg
https://link.springer.com/chapter/10.1007/978-3-642-37051-9_6
In contrast to common eager algorithms based on dominance and dominance
frontier information, this algorithm works backwards from load operations.
When a target variable is loaded, it queries the variable's reaching
definition. If the reaching definition is unknown at the current location,
it searches backwards in the CFG, inserting Phi instructions at join points
in the CFG along the way until it finds the desired store instruction.
The algorithm avoids repeated lookups using memoization.
For reducible CFGs, which are a superset of the structured CFGs in SPIRV,
this algorithm is proven to produce minimal SSA. That is, it inserts the
minimal number of Phi instructions required to ensure the SSA property, but
some Phi instructions may be dead
(https://en.wikipedia.org/wiki/Static_single_assignment_form).
2018-02-22 21:18:29 +00:00
|
|
|
OpStore %fo %42
|
2017-06-16 21:37:31 +00:00
|
|
|
OpReturn
|
|
|
|
OpFunctionEnd
|
|
|
|
)";
|
|
|
|
|
2018-07-11 13:24:49 +00:00
|
|
|
SinglePassRunAndCheck<LocalMultiStoreElimPass>(predefs + before,
|
|
|
|
predefs + after, true, true);
|
2017-06-16 21:37:31 +00:00
|
|
|
}
|
|
|
|
|
|
|
|
TEST_F(LocalSSAElimTest, LostCopyProblem) {
|
|
|
|
// #version 140
|
2017-11-27 15:16:41 +00:00
|
|
|
//
|
2017-06-16 21:37:31 +00:00
|
|
|
// in vec4 BC;
|
|
|
|
// out float fo;
|
2017-11-27 15:16:41 +00:00
|
|
|
//
|
2017-06-16 21:37:31 +00:00
|
|
|
// void main()
|
|
|
|
// {
|
|
|
|
// float f = 0.0;
|
|
|
|
// float t;
|
|
|
|
// for (int i=0; i<4; i++) {
|
|
|
|
// t = f;
|
|
|
|
// f = f + BC[i];
|
|
|
|
// if (f > 1.0)
|
|
|
|
// break;
|
|
|
|
// }
|
|
|
|
// fo = t;
|
|
|
|
// }
|
|
|
|
|
|
|
|
const std::string predefs =
|
|
|
|
R"(OpCapability Shader
|
|
|
|
%1 = OpExtInstImport "GLSL.std.450"
|
|
|
|
OpMemoryModel Logical GLSL450
|
|
|
|
OpEntryPoint Fragment %main "main" %BC %fo
|
|
|
|
OpExecutionMode %main OriginUpperLeft
|
|
|
|
OpSource GLSL 140
|
2018-02-22 21:05:37 +00:00
|
|
|
OpName %main "main"
|
2017-06-16 21:37:31 +00:00
|
|
|
OpName %f "f"
|
|
|
|
OpName %i "i"
|
|
|
|
OpName %t "t"
|
|
|
|
OpName %BC "BC"
|
|
|
|
OpName %fo "fo"
|
2018-02-22 21:05:37 +00:00
|
|
|
%void = OpTypeVoid
|
2017-06-16 21:37:31 +00:00
|
|
|
%9 = OpTypeFunction %void
|
|
|
|
%float = OpTypeFloat 32
|
|
|
|
%_ptr_Function_float = OpTypePointer Function %float
|
|
|
|
%float_0 = OpConstant %float 0
|
|
|
|
%int = OpTypeInt 32 1
|
|
|
|
%_ptr_Function_int = OpTypePointer Function %int
|
|
|
|
%int_0 = OpConstant %int 0
|
|
|
|
%int_4 = OpConstant %int 4
|
|
|
|
%bool = OpTypeBool
|
|
|
|
%v4float = OpTypeVector %float 4
|
|
|
|
%_ptr_Input_v4float = OpTypePointer Input %v4float
|
|
|
|
%BC = OpVariable %_ptr_Input_v4float Input
|
|
|
|
%_ptr_Input_float = OpTypePointer Input %float
|
|
|
|
%float_1 = OpConstant %float 1
|
|
|
|
%int_1 = OpConstant %int 1
|
|
|
|
%_ptr_Output_float = OpTypePointer Output %float
|
|
|
|
%fo = OpVariable %_ptr_Output_float Output
|
|
|
|
)";
|
|
|
|
|
|
|
|
const std::string before =
|
|
|
|
R"(%main = OpFunction %void None %9
|
|
|
|
%24 = OpLabel
|
|
|
|
%f = OpVariable %_ptr_Function_float Function
|
|
|
|
%i = OpVariable %_ptr_Function_int Function
|
|
|
|
%t = OpVariable %_ptr_Function_float Function
|
|
|
|
OpStore %f %float_0
|
|
|
|
OpStore %i %int_0
|
|
|
|
OpBranch %25
|
|
|
|
%25 = OpLabel
|
|
|
|
OpLoopMerge %26 %27 None
|
|
|
|
OpBranch %28
|
|
|
|
%28 = OpLabel
|
|
|
|
%29 = OpLoad %int %i
|
|
|
|
%30 = OpSLessThan %bool %29 %int_4
|
|
|
|
OpBranchConditional %30 %31 %26
|
|
|
|
%31 = OpLabel
|
|
|
|
%32 = OpLoad %float %f
|
|
|
|
OpStore %t %32
|
|
|
|
%33 = OpLoad %float %f
|
|
|
|
%34 = OpLoad %int %i
|
|
|
|
%35 = OpAccessChain %_ptr_Input_float %BC %34
|
|
|
|
%36 = OpLoad %float %35
|
|
|
|
%37 = OpFAdd %float %33 %36
|
|
|
|
OpStore %f %37
|
|
|
|
%38 = OpLoad %float %f
|
|
|
|
%39 = OpFOrdGreaterThan %bool %38 %float_1
|
|
|
|
OpSelectionMerge %40 None
|
|
|
|
OpBranchConditional %39 %41 %40
|
|
|
|
%41 = OpLabel
|
|
|
|
OpBranch %26
|
|
|
|
%40 = OpLabel
|
|
|
|
OpBranch %27
|
|
|
|
%27 = OpLabel
|
|
|
|
%42 = OpLoad %int %i
|
|
|
|
%43 = OpIAdd %int %42 %int_1
|
|
|
|
OpStore %i %43
|
|
|
|
OpBranch %25
|
|
|
|
%26 = OpLabel
|
|
|
|
%44 = OpLoad %float %t
|
|
|
|
OpStore %fo %44
|
|
|
|
OpReturn
|
|
|
|
OpFunctionEnd
|
|
|
|
)";
|
|
|
|
|
|
|
|
const std::string after =
|
SSA rewrite pass.
This pass replaces the load/store elimination passes. It implements the
SSA re-writing algorithm proposed in
Simple and Efficient Construction of Static Single Assignment Form.
Braun M., Buchwald S., Hack S., Leißa R., Mallon C., Zwinkau A. (2013)
In: Jhala R., De Bosschere K. (eds)
Compiler Construction. CC 2013.
Lecture Notes in Computer Science, vol 7791.
Springer, Berlin, Heidelberg
https://link.springer.com/chapter/10.1007/978-3-642-37051-9_6
In contrast to common eager algorithms based on dominance and dominance
frontier information, this algorithm works backwards from load operations.
When a target variable is loaded, it queries the variable's reaching
definition. If the reaching definition is unknown at the current location,
it searches backwards in the CFG, inserting Phi instructions at join points
in the CFG along the way until it finds the desired store instruction.
The algorithm avoids repeated lookups using memoization.
For reducible CFGs, which are a superset of the structured CFGs in SPIRV,
this algorithm is proven to produce minimal SSA. That is, it inserts the
minimal number of Phi instructions required to ensure the SSA property, but
some Phi instructions may be dead
(https://en.wikipedia.org/wiki/Static_single_assignment_form).
2018-02-22 21:18:29 +00:00
|
|
|
R"(%49 = OpUndef %float
|
2017-06-16 21:37:31 +00:00
|
|
|
%main = OpFunction %void None %9
|
|
|
|
%24 = OpLabel
|
2018-02-22 21:05:37 +00:00
|
|
|
%f = OpVariable %_ptr_Function_float Function
|
|
|
|
%i = OpVariable %_ptr_Function_int Function
|
|
|
|
%t = OpVariable %_ptr_Function_float Function
|
|
|
|
OpStore %f %float_0
|
|
|
|
OpStore %i %int_0
|
2017-06-16 21:37:31 +00:00
|
|
|
OpBranch %25
|
|
|
|
%25 = OpLabel
|
SSA rewrite pass.
This pass replaces the load/store elimination passes. It implements the
SSA re-writing algorithm proposed in
Simple and Efficient Construction of Static Single Assignment Form.
Braun M., Buchwald S., Hack S., Leißa R., Mallon C., Zwinkau A. (2013)
In: Jhala R., De Bosschere K. (eds)
Compiler Construction. CC 2013.
Lecture Notes in Computer Science, vol 7791.
Springer, Berlin, Heidelberg
https://link.springer.com/chapter/10.1007/978-3-642-37051-9_6
In contrast to common eager algorithms based on dominance and dominance
frontier information, this algorithm works backwards from load operations.
When a target variable is loaded, it queries the variable's reaching
definition. If the reaching definition is unknown at the current location,
it searches backwards in the CFG, inserting Phi instructions at join points
in the CFG along the way until it finds the desired store instruction.
The algorithm avoids repeated lookups using memoization.
For reducible CFGs, which are a superset of the structured CFGs in SPIRV,
this algorithm is proven to produce minimal SSA. That is, it inserts the
minimal number of Phi instructions required to ensure the SSA property, but
some Phi instructions may be dead
(https://en.wikipedia.org/wiki/Static_single_assignment_form).
2018-02-22 21:18:29 +00:00
|
|
|
%46 = OpPhi %float %float_0 %24 %37 %27
|
|
|
|
%45 = OpPhi %int %int_0 %24 %43 %27
|
|
|
|
%48 = OpPhi %float %49 %24 %46 %27
|
2017-06-16 21:37:31 +00:00
|
|
|
OpLoopMerge %26 %27 None
|
|
|
|
OpBranch %28
|
|
|
|
%28 = OpLabel
|
SSA rewrite pass.
This pass replaces the load/store elimination passes. It implements the
SSA re-writing algorithm proposed in
Simple and Efficient Construction of Static Single Assignment Form.
Braun M., Buchwald S., Hack S., Leißa R., Mallon C., Zwinkau A. (2013)
In: Jhala R., De Bosschere K. (eds)
Compiler Construction. CC 2013.
Lecture Notes in Computer Science, vol 7791.
Springer, Berlin, Heidelberg
https://link.springer.com/chapter/10.1007/978-3-642-37051-9_6
In contrast to common eager algorithms based on dominance and dominance
frontier information, this algorithm works backwards from load operations.
When a target variable is loaded, it queries the variable's reaching
definition. If the reaching definition is unknown at the current location,
it searches backwards in the CFG, inserting Phi instructions at join points
in the CFG along the way until it finds the desired store instruction.
The algorithm avoids repeated lookups using memoization.
For reducible CFGs, which are a superset of the structured CFGs in SPIRV,
this algorithm is proven to produce minimal SSA. That is, it inserts the
minimal number of Phi instructions required to ensure the SSA property, but
some Phi instructions may be dead
(https://en.wikipedia.org/wiki/Static_single_assignment_form).
2018-02-22 21:18:29 +00:00
|
|
|
%30 = OpSLessThan %bool %45 %int_4
|
2017-06-16 21:37:31 +00:00
|
|
|
OpBranchConditional %30 %31 %26
|
|
|
|
%31 = OpLabel
|
SSA rewrite pass.
This pass replaces the load/store elimination passes. It implements the
SSA re-writing algorithm proposed in
Simple and Efficient Construction of Static Single Assignment Form.
Braun M., Buchwald S., Hack S., Leißa R., Mallon C., Zwinkau A. (2013)
In: Jhala R., De Bosschere K. (eds)
Compiler Construction. CC 2013.
Lecture Notes in Computer Science, vol 7791.
Springer, Berlin, Heidelberg
https://link.springer.com/chapter/10.1007/978-3-642-37051-9_6
In contrast to common eager algorithms based on dominance and dominance
frontier information, this algorithm works backwards from load operations.
When a target variable is loaded, it queries the variable's reaching
definition. If the reaching definition is unknown at the current location,
it searches backwards in the CFG, inserting Phi instructions at join points
in the CFG along the way until it finds the desired store instruction.
The algorithm avoids repeated lookups using memoization.
For reducible CFGs, which are a superset of the structured CFGs in SPIRV,
this algorithm is proven to produce minimal SSA. That is, it inserts the
minimal number of Phi instructions required to ensure the SSA property, but
some Phi instructions may be dead
(https://en.wikipedia.org/wiki/Static_single_assignment_form).
2018-02-22 21:18:29 +00:00
|
|
|
OpStore %t %46
|
|
|
|
%35 = OpAccessChain %_ptr_Input_float %BC %45
|
2017-06-16 21:37:31 +00:00
|
|
|
%36 = OpLoad %float %35
|
SSA rewrite pass.
This pass replaces the load/store elimination passes. It implements the
SSA re-writing algorithm proposed in
Simple and Efficient Construction of Static Single Assignment Form.
Braun M., Buchwald S., Hack S., Leißa R., Mallon C., Zwinkau A. (2013)
In: Jhala R., De Bosschere K. (eds)
Compiler Construction. CC 2013.
Lecture Notes in Computer Science, vol 7791.
Springer, Berlin, Heidelberg
https://link.springer.com/chapter/10.1007/978-3-642-37051-9_6
In contrast to common eager algorithms based on dominance and dominance
frontier information, this algorithm works backwards from load operations.
When a target variable is loaded, it queries the variable's reaching
definition. If the reaching definition is unknown at the current location,
it searches backwards in the CFG, inserting Phi instructions at join points
in the CFG along the way until it finds the desired store instruction.
The algorithm avoids repeated lookups using memoization.
For reducible CFGs, which are a superset of the structured CFGs in SPIRV,
this algorithm is proven to produce minimal SSA. That is, it inserts the
minimal number of Phi instructions required to ensure the SSA property, but
some Phi instructions may be dead
(https://en.wikipedia.org/wiki/Static_single_assignment_form).
2018-02-22 21:18:29 +00:00
|
|
|
%37 = OpFAdd %float %46 %36
|
2018-02-22 21:05:37 +00:00
|
|
|
OpStore %f %37
|
2017-06-16 21:37:31 +00:00
|
|
|
%39 = OpFOrdGreaterThan %bool %37 %float_1
|
|
|
|
OpSelectionMerge %40 None
|
|
|
|
OpBranchConditional %39 %41 %40
|
|
|
|
%41 = OpLabel
|
|
|
|
OpBranch %26
|
|
|
|
%40 = OpLabel
|
|
|
|
OpBranch %27
|
|
|
|
%27 = OpLabel
|
SSA rewrite pass.
This pass replaces the load/store elimination passes. It implements the
SSA re-writing algorithm proposed in
Simple and Efficient Construction of Static Single Assignment Form.
Braun M., Buchwald S., Hack S., Leißa R., Mallon C., Zwinkau A. (2013)
In: Jhala R., De Bosschere K. (eds)
Compiler Construction. CC 2013.
Lecture Notes in Computer Science, vol 7791.
Springer, Berlin, Heidelberg
https://link.springer.com/chapter/10.1007/978-3-642-37051-9_6
In contrast to common eager algorithms based on dominance and dominance
frontier information, this algorithm works backwards from load operations.
When a target variable is loaded, it queries the variable's reaching
definition. If the reaching definition is unknown at the current location,
it searches backwards in the CFG, inserting Phi instructions at join points
in the CFG along the way until it finds the desired store instruction.
The algorithm avoids repeated lookups using memoization.
For reducible CFGs, which are a superset of the structured CFGs in SPIRV,
this algorithm is proven to produce minimal SSA. That is, it inserts the
minimal number of Phi instructions required to ensure the SSA property, but
some Phi instructions may be dead
(https://en.wikipedia.org/wiki/Static_single_assignment_form).
2018-02-22 21:18:29 +00:00
|
|
|
%43 = OpIAdd %int %45 %int_1
|
2018-02-22 21:05:37 +00:00
|
|
|
OpStore %i %43
|
2017-06-16 21:37:31 +00:00
|
|
|
OpBranch %25
|
|
|
|
%26 = OpLabel
|
SSA rewrite pass.
This pass replaces the load/store elimination passes. It implements the
SSA re-writing algorithm proposed in
Simple and Efficient Construction of Static Single Assignment Form.
Braun M., Buchwald S., Hack S., Leißa R., Mallon C., Zwinkau A. (2013)
In: Jhala R., De Bosschere K. (eds)
Compiler Construction. CC 2013.
Lecture Notes in Computer Science, vol 7791.
Springer, Berlin, Heidelberg
https://link.springer.com/chapter/10.1007/978-3-642-37051-9_6
In contrast to common eager algorithms based on dominance and dominance
frontier information, this algorithm works backwards from load operations.
When a target variable is loaded, it queries the variable's reaching
definition. If the reaching definition is unknown at the current location,
it searches backwards in the CFG, inserting Phi instructions at join points
in the CFG along the way until it finds the desired store instruction.
The algorithm avoids repeated lookups using memoization.
For reducible CFGs, which are a superset of the structured CFGs in SPIRV,
this algorithm is proven to produce minimal SSA. That is, it inserts the
minimal number of Phi instructions required to ensure the SSA property, but
some Phi instructions may be dead
(https://en.wikipedia.org/wiki/Static_single_assignment_form).
2018-02-22 21:18:29 +00:00
|
|
|
%47 = OpPhi %float %48 %28 %46 %41
|
|
|
|
OpStore %fo %47
|
2017-06-16 21:37:31 +00:00
|
|
|
OpReturn
|
|
|
|
OpFunctionEnd
|
|
|
|
)";
|
|
|
|
|
2018-07-11 13:24:49 +00:00
|
|
|
SinglePassRunAndCheck<LocalMultiStoreElimPass>(predefs + before,
|
|
|
|
predefs + after, true, true);
|
2017-06-16 21:37:31 +00:00
|
|
|
}
|
|
|
|
|
|
|
|
TEST_F(LocalSSAElimTest, IfThenElse) {
|
|
|
|
// #version 140
|
2017-11-27 15:16:41 +00:00
|
|
|
//
|
2017-06-16 21:37:31 +00:00
|
|
|
// in vec4 BaseColor;
|
|
|
|
// in float f;
|
2017-11-27 15:16:41 +00:00
|
|
|
//
|
2017-06-16 21:37:31 +00:00
|
|
|
// void main()
|
|
|
|
// {
|
|
|
|
// vec4 v;
|
|
|
|
// if (f >= 0)
|
|
|
|
// v = BaseColor * 0.5;
|
|
|
|
// else
|
|
|
|
// v = BaseColor + vec4(1.0,1.0,1.0,1.0);
|
|
|
|
// gl_FragColor = v;
|
|
|
|
// }
|
|
|
|
|
|
|
|
const std::string predefs =
|
|
|
|
R"(OpCapability Shader
|
|
|
|
%1 = OpExtInstImport "GLSL.std.450"
|
|
|
|
OpMemoryModel Logical GLSL450
|
|
|
|
OpEntryPoint Fragment %main "main" %f %BaseColor %gl_FragColor
|
|
|
|
OpExecutionMode %main OriginUpperLeft
|
|
|
|
OpSource GLSL 140
|
2018-02-22 21:05:37 +00:00
|
|
|
OpName %main "main"
|
2017-06-16 21:37:31 +00:00
|
|
|
OpName %f "f"
|
|
|
|
OpName %v "v"
|
|
|
|
OpName %BaseColor "BaseColor"
|
|
|
|
OpName %gl_FragColor "gl_FragColor"
|
2018-02-22 21:05:37 +00:00
|
|
|
%void = OpTypeVoid
|
2017-06-16 21:37:31 +00:00
|
|
|
%8 = OpTypeFunction %void
|
|
|
|
%float = OpTypeFloat 32
|
|
|
|
%_ptr_Input_float = OpTypePointer Input %float
|
|
|
|
%f = OpVariable %_ptr_Input_float Input
|
|
|
|
%float_0 = OpConstant %float 0
|
|
|
|
%bool = OpTypeBool
|
|
|
|
%v4float = OpTypeVector %float 4
|
|
|
|
%_ptr_Function_v4float = OpTypePointer Function %v4float
|
|
|
|
%_ptr_Input_v4float = OpTypePointer Input %v4float
|
|
|
|
%BaseColor = OpVariable %_ptr_Input_v4float Input
|
|
|
|
%float_0_5 = OpConstant %float 0.5
|
|
|
|
%float_1 = OpConstant %float 1
|
|
|
|
%18 = OpConstantComposite %v4float %float_1 %float_1 %float_1 %float_1
|
|
|
|
%_ptr_Output_v4float = OpTypePointer Output %v4float
|
|
|
|
%gl_FragColor = OpVariable %_ptr_Output_v4float Output
|
|
|
|
)";
|
|
|
|
|
|
|
|
const std::string before =
|
|
|
|
R"(%main = OpFunction %void None %8
|
|
|
|
%20 = OpLabel
|
|
|
|
%v = OpVariable %_ptr_Function_v4float Function
|
|
|
|
%21 = OpLoad %float %f
|
|
|
|
%22 = OpFOrdGreaterThanEqual %bool %21 %float_0
|
|
|
|
OpSelectionMerge %23 None
|
|
|
|
OpBranchConditional %22 %24 %25
|
|
|
|
%24 = OpLabel
|
|
|
|
%26 = OpLoad %v4float %BaseColor
|
|
|
|
%27 = OpVectorTimesScalar %v4float %26 %float_0_5
|
|
|
|
OpStore %v %27
|
|
|
|
OpBranch %23
|
|
|
|
%25 = OpLabel
|
|
|
|
%28 = OpLoad %v4float %BaseColor
|
|
|
|
%29 = OpFAdd %v4float %28 %18
|
|
|
|
OpStore %v %29
|
|
|
|
OpBranch %23
|
|
|
|
%23 = OpLabel
|
|
|
|
%30 = OpLoad %v4float %v
|
|
|
|
OpStore %gl_FragColor %30
|
|
|
|
OpReturn
|
|
|
|
OpFunctionEnd
|
|
|
|
)";
|
|
|
|
|
|
|
|
const std::string after =
|
|
|
|
R"(%main = OpFunction %void None %8
|
|
|
|
%20 = OpLabel
|
2017-11-06 18:25:24 +00:00
|
|
|
%v = OpVariable %_ptr_Function_v4float Function
|
|
|
|
%21 = OpLoad %float %f
|
|
|
|
%22 = OpFOrdGreaterThanEqual %bool %21 %float_0
|
|
|
|
OpSelectionMerge %23 None
|
2017-12-08 17:44:15 +00:00
|
|
|
OpBranchConditional %22 %24 %25
|
2017-11-06 18:25:24 +00:00
|
|
|
%24 = OpLabel
|
|
|
|
%26 = OpLoad %v4float %BaseColor
|
|
|
|
%27 = OpVectorTimesScalar %v4float %26 %float_0_5
|
2017-12-08 17:44:15 +00:00
|
|
|
OpStore %v %27
|
2017-11-06 18:25:24 +00:00
|
|
|
OpBranch %23
|
|
|
|
%25 = OpLabel
|
|
|
|
%28 = OpLoad %v4float %BaseColor
|
|
|
|
%29 = OpFAdd %v4float %28 %18
|
2017-12-08 17:44:15 +00:00
|
|
|
OpStore %v %29
|
2017-11-06 18:25:24 +00:00
|
|
|
OpBranch %23
|
|
|
|
%23 = OpLabel
|
|
|
|
%31 = OpPhi %v4float %27 %24 %29 %25
|
2018-02-22 21:05:37 +00:00
|
|
|
OpStore %gl_FragColor %31
|
2017-11-06 18:25:24 +00:00
|
|
|
OpReturn
|
|
|
|
OpFunctionEnd
|
|
|
|
)";
|
|
|
|
|
2018-07-11 13:24:49 +00:00
|
|
|
SinglePassRunAndCheck<LocalMultiStoreElimPass>(predefs + before,
|
|
|
|
predefs + after, true, true);
|
2017-11-06 18:25:24 +00:00
|
|
|
}
|
|
|
|
|
2017-06-16 21:37:31 +00:00
|
|
|
TEST_F(LocalSSAElimTest, IfThen) {
|
|
|
|
// #version 140
|
2017-11-27 15:16:41 +00:00
|
|
|
//
|
2017-06-16 21:37:31 +00:00
|
|
|
// in vec4 BaseColor;
|
|
|
|
// in float f;
|
2017-11-27 15:16:41 +00:00
|
|
|
//
|
2017-06-16 21:37:31 +00:00
|
|
|
// void main()
|
|
|
|
// {
|
|
|
|
// vec4 v = BaseColor;
|
|
|
|
// if (f <= 0)
|
|
|
|
// v = v * 0.5;
|
|
|
|
// gl_FragColor = v;
|
|
|
|
// }
|
|
|
|
|
|
|
|
const std::string predefs =
|
|
|
|
R"(OpCapability Shader
|
|
|
|
%1 = OpExtInstImport "GLSL.std.450"
|
|
|
|
OpMemoryModel Logical GLSL450
|
|
|
|
OpEntryPoint Fragment %main "main" %BaseColor %f %gl_FragColor
|
|
|
|
OpExecutionMode %main OriginUpperLeft
|
|
|
|
OpSource GLSL 140
|
2018-02-22 21:05:37 +00:00
|
|
|
OpName %main "main"
|
2017-06-16 21:37:31 +00:00
|
|
|
OpName %v "v"
|
|
|
|
OpName %BaseColor "BaseColor"
|
|
|
|
OpName %f "f"
|
|
|
|
OpName %gl_FragColor "gl_FragColor"
|
2018-02-22 21:05:37 +00:00
|
|
|
%void = OpTypeVoid
|
2017-06-16 21:37:31 +00:00
|
|
|
%8 = OpTypeFunction %void
|
|
|
|
%float = OpTypeFloat 32
|
|
|
|
%v4float = OpTypeVector %float 4
|
|
|
|
%_ptr_Function_v4float = OpTypePointer Function %v4float
|
|
|
|
%_ptr_Input_v4float = OpTypePointer Input %v4float
|
|
|
|
%BaseColor = OpVariable %_ptr_Input_v4float Input
|
|
|
|
%_ptr_Input_float = OpTypePointer Input %float
|
|
|
|
%f = OpVariable %_ptr_Input_float Input
|
|
|
|
%float_0 = OpConstant %float 0
|
|
|
|
%bool = OpTypeBool
|
|
|
|
%float_0_5 = OpConstant %float 0.5
|
|
|
|
%_ptr_Output_v4float = OpTypePointer Output %v4float
|
|
|
|
%gl_FragColor = OpVariable %_ptr_Output_v4float Output
|
|
|
|
)";
|
|
|
|
|
|
|
|
const std::string before =
|
|
|
|
R"(%main = OpFunction %void None %8
|
|
|
|
%18 = OpLabel
|
|
|
|
%v = OpVariable %_ptr_Function_v4float Function
|
|
|
|
%19 = OpLoad %v4float %BaseColor
|
|
|
|
OpStore %v %19
|
|
|
|
%20 = OpLoad %float %f
|
|
|
|
%21 = OpFOrdLessThanEqual %bool %20 %float_0
|
|
|
|
OpSelectionMerge %22 None
|
|
|
|
OpBranchConditional %21 %23 %22
|
|
|
|
%23 = OpLabel
|
|
|
|
%24 = OpLoad %v4float %v
|
|
|
|
%25 = OpVectorTimesScalar %v4float %24 %float_0_5
|
|
|
|
OpStore %v %25
|
|
|
|
OpBranch %22
|
|
|
|
%22 = OpLabel
|
|
|
|
%26 = OpLoad %v4float %v
|
|
|
|
OpStore %gl_FragColor %26
|
|
|
|
OpReturn
|
|
|
|
OpFunctionEnd
|
|
|
|
)";
|
|
|
|
|
|
|
|
const std::string after =
|
|
|
|
R"(%main = OpFunction %void None %8
|
|
|
|
%18 = OpLabel
|
2018-02-22 21:05:37 +00:00
|
|
|
%v = OpVariable %_ptr_Function_v4float Function
|
2017-06-16 21:37:31 +00:00
|
|
|
%19 = OpLoad %v4float %BaseColor
|
2018-02-22 21:05:37 +00:00
|
|
|
OpStore %v %19
|
2017-06-16 21:37:31 +00:00
|
|
|
%20 = OpLoad %float %f
|
|
|
|
%21 = OpFOrdLessThanEqual %bool %20 %float_0
|
|
|
|
OpSelectionMerge %22 None
|
|
|
|
OpBranchConditional %21 %23 %22
|
|
|
|
%23 = OpLabel
|
|
|
|
%25 = OpVectorTimesScalar %v4float %19 %float_0_5
|
2018-02-22 21:05:37 +00:00
|
|
|
OpStore %v %25
|
2017-06-16 21:37:31 +00:00
|
|
|
OpBranch %22
|
|
|
|
%22 = OpLabel
|
|
|
|
%27 = OpPhi %v4float %19 %18 %25 %23
|
|
|
|
OpStore %gl_FragColor %27
|
|
|
|
OpReturn
|
|
|
|
OpFunctionEnd
|
|
|
|
)";
|
|
|
|
|
2018-07-11 13:24:49 +00:00
|
|
|
SinglePassRunAndCheck<LocalMultiStoreElimPass>(predefs + before,
|
|
|
|
predefs + after, true, true);
|
2017-06-16 21:37:31 +00:00
|
|
|
}
|
|
|
|
|
|
|
|
TEST_F(LocalSSAElimTest, Switch) {
|
|
|
|
// #version 140
|
2017-11-27 15:16:41 +00:00
|
|
|
//
|
2017-06-16 21:37:31 +00:00
|
|
|
// in vec4 BaseColor;
|
|
|
|
// in float f;
|
2017-11-27 15:16:41 +00:00
|
|
|
//
|
2017-06-16 21:37:31 +00:00
|
|
|
// void main()
|
|
|
|
// {
|
|
|
|
// vec4 v = BaseColor;
|
|
|
|
// int i = int(f);
|
|
|
|
// switch (i) {
|
|
|
|
// case 0:
|
2018-03-30 23:35:45 +00:00
|
|
|
// v = v * 0.25;
|
2017-06-16 21:37:31 +00:00
|
|
|
// break;
|
|
|
|
// case 1:
|
2018-03-30 23:35:45 +00:00
|
|
|
// v = v * 0.625;
|
2017-06-16 21:37:31 +00:00
|
|
|
// break;
|
|
|
|
// case 2:
|
2018-03-30 23:35:45 +00:00
|
|
|
// v = v * 0.75;
|
2017-06-16 21:37:31 +00:00
|
|
|
// break;
|
|
|
|
// default:
|
|
|
|
// break;
|
|
|
|
// }
|
|
|
|
// gl_FragColor = v;
|
|
|
|
// }
|
|
|
|
|
|
|
|
const std::string predefs =
|
|
|
|
R"(OpCapability Shader
|
|
|
|
%1 = OpExtInstImport "GLSL.std.450"
|
|
|
|
OpMemoryModel Logical GLSL450
|
|
|
|
OpEntryPoint Fragment %main "main" %BaseColor %f %gl_FragColor
|
|
|
|
OpExecutionMode %main OriginUpperLeft
|
|
|
|
OpSource GLSL 140
|
2018-02-22 21:05:37 +00:00
|
|
|
OpName %main "main"
|
2017-06-16 21:37:31 +00:00
|
|
|
OpName %v "v"
|
|
|
|
OpName %BaseColor "BaseColor"
|
|
|
|
OpName %i "i"
|
|
|
|
OpName %f "f"
|
|
|
|
OpName %gl_FragColor "gl_FragColor"
|
2018-02-22 21:05:37 +00:00
|
|
|
%void = OpTypeVoid
|
2017-06-16 21:37:31 +00:00
|
|
|
%9 = OpTypeFunction %void
|
|
|
|
%float = OpTypeFloat 32
|
|
|
|
%v4float = OpTypeVector %float 4
|
|
|
|
%_ptr_Function_v4float = OpTypePointer Function %v4float
|
|
|
|
%_ptr_Input_v4float = OpTypePointer Input %v4float
|
|
|
|
%BaseColor = OpVariable %_ptr_Input_v4float Input
|
|
|
|
%int = OpTypeInt 32 1
|
|
|
|
%_ptr_Function_int = OpTypePointer Function %int
|
|
|
|
%_ptr_Input_float = OpTypePointer Input %float
|
|
|
|
%f = OpVariable %_ptr_Input_float Input
|
2018-03-30 23:35:45 +00:00
|
|
|
%float_0_25 = OpConstant %float 0.25
|
|
|
|
%float_0_625 = OpConstant %float 0.625
|
|
|
|
%float_0_75 = OpConstant %float 0.75
|
2017-06-16 21:37:31 +00:00
|
|
|
%_ptr_Output_v4float = OpTypePointer Output %v4float
|
|
|
|
%gl_FragColor = OpVariable %_ptr_Output_v4float Output
|
|
|
|
)";
|
|
|
|
|
|
|
|
const std::string before =
|
|
|
|
R"(%main = OpFunction %void None %9
|
|
|
|
%21 = OpLabel
|
|
|
|
%v = OpVariable %_ptr_Function_v4float Function
|
|
|
|
%i = OpVariable %_ptr_Function_int Function
|
|
|
|
%22 = OpLoad %v4float %BaseColor
|
|
|
|
OpStore %v %22
|
|
|
|
%23 = OpLoad %float %f
|
|
|
|
%24 = OpConvertFToS %int %23
|
|
|
|
OpStore %i %24
|
|
|
|
%25 = OpLoad %int %i
|
|
|
|
OpSelectionMerge %26 None
|
|
|
|
OpSwitch %25 %27 0 %28 1 %29 2 %30
|
|
|
|
%27 = OpLabel
|
|
|
|
OpBranch %26
|
|
|
|
%28 = OpLabel
|
|
|
|
%31 = OpLoad %v4float %v
|
2018-03-30 23:35:45 +00:00
|
|
|
%32 = OpVectorTimesScalar %v4float %31 %float_0_25
|
2017-06-16 21:37:31 +00:00
|
|
|
OpStore %v %32
|
|
|
|
OpBranch %26
|
|
|
|
%29 = OpLabel
|
|
|
|
%33 = OpLoad %v4float %v
|
2018-03-30 23:35:45 +00:00
|
|
|
%34 = OpVectorTimesScalar %v4float %33 %float_0_625
|
2017-06-16 21:37:31 +00:00
|
|
|
OpStore %v %34
|
|
|
|
OpBranch %26
|
|
|
|
%30 = OpLabel
|
|
|
|
%35 = OpLoad %v4float %v
|
2018-03-30 23:35:45 +00:00
|
|
|
%36 = OpVectorTimesScalar %v4float %35 %float_0_75
|
2017-06-16 21:37:31 +00:00
|
|
|
OpStore %v %36
|
|
|
|
OpBranch %26
|
|
|
|
%26 = OpLabel
|
|
|
|
%37 = OpLoad %v4float %v
|
|
|
|
OpStore %gl_FragColor %37
|
|
|
|
OpReturn
|
|
|
|
OpFunctionEnd
|
|
|
|
)";
|
|
|
|
|
|
|
|
const std::string after =
|
|
|
|
R"(%main = OpFunction %void None %9
|
|
|
|
%21 = OpLabel
|
2018-02-22 21:05:37 +00:00
|
|
|
%v = OpVariable %_ptr_Function_v4float Function
|
|
|
|
%i = OpVariable %_ptr_Function_int Function
|
2017-06-16 21:37:31 +00:00
|
|
|
%22 = OpLoad %v4float %BaseColor
|
2018-02-22 21:05:37 +00:00
|
|
|
OpStore %v %22
|
2017-06-16 21:37:31 +00:00
|
|
|
%23 = OpLoad %float %f
|
|
|
|
%24 = OpConvertFToS %int %23
|
2018-02-22 21:05:37 +00:00
|
|
|
OpStore %i %24
|
2017-06-16 21:37:31 +00:00
|
|
|
OpSelectionMerge %26 None
|
|
|
|
OpSwitch %24 %27 0 %28 1 %29 2 %30
|
|
|
|
%27 = OpLabel
|
|
|
|
OpBranch %26
|
|
|
|
%28 = OpLabel
|
2018-03-30 23:35:45 +00:00
|
|
|
%32 = OpVectorTimesScalar %v4float %22 %float_0_25
|
2018-02-22 21:05:37 +00:00
|
|
|
OpStore %v %32
|
2017-06-16 21:37:31 +00:00
|
|
|
OpBranch %26
|
|
|
|
%29 = OpLabel
|
2018-03-30 23:35:45 +00:00
|
|
|
%34 = OpVectorTimesScalar %v4float %22 %float_0_625
|
2018-02-22 21:05:37 +00:00
|
|
|
OpStore %v %34
|
2017-06-16 21:37:31 +00:00
|
|
|
OpBranch %26
|
|
|
|
%30 = OpLabel
|
2018-03-30 23:35:45 +00:00
|
|
|
%36 = OpVectorTimesScalar %v4float %22 %float_0_75
|
2018-02-22 21:05:37 +00:00
|
|
|
OpStore %v %36
|
2017-06-16 21:37:31 +00:00
|
|
|
OpBranch %26
|
|
|
|
%26 = OpLabel
|
|
|
|
%38 = OpPhi %v4float %22 %27 %32 %28 %34 %29 %36 %30
|
|
|
|
OpStore %gl_FragColor %38
|
|
|
|
OpReturn
|
|
|
|
OpFunctionEnd
|
|
|
|
)";
|
|
|
|
|
2018-07-11 13:24:49 +00:00
|
|
|
SinglePassRunAndCheck<LocalMultiStoreElimPass>(predefs + before,
|
|
|
|
predefs + after, true, true);
|
2017-06-16 21:37:31 +00:00
|
|
|
}
|
|
|
|
|
|
|
|
TEST_F(LocalSSAElimTest, SwitchWithFallThrough) {
|
|
|
|
// #version 140
|
2017-11-27 15:16:41 +00:00
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//
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2017-06-16 21:37:31 +00:00
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// in vec4 BaseColor;
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// in float f;
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2017-11-27 15:16:41 +00:00
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//
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2017-06-16 21:37:31 +00:00
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// void main()
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// {
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// vec4 v = BaseColor;
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// int i = int(f);
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// switch (i) {
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// case 0:
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2018-03-30 23:35:45 +00:00
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// v = v * 0.25;
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2017-06-16 21:37:31 +00:00
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// break;
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// case 1:
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2018-03-30 23:35:45 +00:00
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// v = v + 0.25;
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2017-06-16 21:37:31 +00:00
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// case 2:
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2018-03-30 23:35:45 +00:00
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// v = v * 0.75;
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2017-06-16 21:37:31 +00:00
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// break;
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// default:
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// break;
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// }
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// gl_FragColor = v;
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// }
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const std::string predefs =
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R"(OpCapability Shader
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%1 = OpExtInstImport "GLSL.std.450"
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OpMemoryModel Logical GLSL450
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OpEntryPoint Fragment %main "main" %BaseColor %f %gl_FragColor
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OpExecutionMode %main OriginUpperLeft
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OpSource GLSL 140
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2018-02-22 21:05:37 +00:00
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OpName %main "main"
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2017-06-16 21:37:31 +00:00
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OpName %v "v"
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OpName %BaseColor "BaseColor"
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OpName %i "i"
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OpName %f "f"
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OpName %gl_FragColor "gl_FragColor"
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2018-02-22 21:05:37 +00:00
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%void = OpTypeVoid
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2017-06-16 21:37:31 +00:00
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%9 = OpTypeFunction %void
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%float = OpTypeFloat 32
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%v4float = OpTypeVector %float 4
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%_ptr_Function_v4float = OpTypePointer Function %v4float
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%_ptr_Input_v4float = OpTypePointer Input %v4float
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%BaseColor = OpVariable %_ptr_Input_v4float Input
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%int = OpTypeInt 32 1
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%_ptr_Function_int = OpTypePointer Function %int
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%_ptr_Input_float = OpTypePointer Input %float
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%f = OpVariable %_ptr_Input_float Input
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2018-03-30 23:35:45 +00:00
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%float_0_25 = OpConstant %float 0.25
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%float_0_75 = OpConstant %float 0.75
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2017-06-16 21:37:31 +00:00
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%_ptr_Output_v4float = OpTypePointer Output %v4float
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%gl_FragColor = OpVariable %_ptr_Output_v4float Output
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)";
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const std::string before =
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R"(%main = OpFunction %void None %9
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%20 = OpLabel
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%v = OpVariable %_ptr_Function_v4float Function
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%i = OpVariable %_ptr_Function_int Function
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%21 = OpLoad %v4float %BaseColor
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OpStore %v %21
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%22 = OpLoad %float %f
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%23 = OpConvertFToS %int %22
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OpStore %i %23
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%24 = OpLoad %int %i
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OpSelectionMerge %25 None
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OpSwitch %24 %26 0 %27 1 %28 2 %29
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%26 = OpLabel
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OpBranch %25
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%27 = OpLabel
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%30 = OpLoad %v4float %v
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2018-03-30 23:35:45 +00:00
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%31 = OpVectorTimesScalar %v4float %30 %float_0_25
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2017-06-16 21:37:31 +00:00
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OpStore %v %31
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OpBranch %25
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%28 = OpLabel
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%32 = OpLoad %v4float %v
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2018-03-30 23:35:45 +00:00
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%33 = OpCompositeConstruct %v4float %float_0_25 %float_0_25 %float_0_25 %float_0_25
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2017-06-16 21:37:31 +00:00
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%34 = OpFAdd %v4float %32 %33
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2017-12-08 17:44:15 +00:00
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OpStore %v %34
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2017-06-16 21:37:31 +00:00
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OpBranch %29
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%29 = OpLabel
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%35 = OpLoad %v4float %v
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2018-03-30 23:35:45 +00:00
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%36 = OpVectorTimesScalar %v4float %35 %float_0_75
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2017-12-08 17:44:15 +00:00
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OpStore %v %36
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2017-06-16 21:37:31 +00:00
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OpBranch %25
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%25 = OpLabel
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%37 = OpLoad %v4float %v
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OpStore %gl_FragColor %37
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OpReturn
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OpFunctionEnd
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)";
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const std::string after =
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R"(%main = OpFunction %void None %9
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%20 = OpLabel
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2018-02-22 21:05:37 +00:00
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%v = OpVariable %_ptr_Function_v4float Function
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%i = OpVariable %_ptr_Function_int Function
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2017-06-16 21:37:31 +00:00
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%21 = OpLoad %v4float %BaseColor
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2018-02-22 21:05:37 +00:00
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OpStore %v %21
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2017-06-16 21:37:31 +00:00
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%22 = OpLoad %float %f
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%23 = OpConvertFToS %int %22
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2018-02-22 21:05:37 +00:00
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OpStore %i %23
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2017-06-16 21:37:31 +00:00
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OpSelectionMerge %25 None
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OpSwitch %23 %26 0 %27 1 %28 2 %29
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%26 = OpLabel
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OpBranch %25
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%27 = OpLabel
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2018-03-30 23:35:45 +00:00
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%31 = OpVectorTimesScalar %v4float %21 %float_0_25
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2018-02-22 21:05:37 +00:00
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OpStore %v %31
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2017-06-16 21:37:31 +00:00
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OpBranch %25
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%28 = OpLabel
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2018-03-30 23:35:45 +00:00
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%33 = OpCompositeConstruct %v4float %float_0_25 %float_0_25 %float_0_25 %float_0_25
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2017-06-16 21:37:31 +00:00
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%34 = OpFAdd %v4float %21 %33
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2018-02-22 21:05:37 +00:00
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OpStore %v %34
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2017-06-16 21:37:31 +00:00
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OpBranch %29
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%29 = OpLabel
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%38 = OpPhi %v4float %21 %20 %34 %28
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2018-03-30 23:35:45 +00:00
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%36 = OpVectorTimesScalar %v4float %38 %float_0_75
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2018-02-22 21:05:37 +00:00
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OpStore %v %36
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2017-06-16 21:37:31 +00:00
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OpBranch %25
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%25 = OpLabel
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%39 = OpPhi %v4float %21 %26 %31 %27 %36 %29
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OpStore %gl_FragColor %39
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OpReturn
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OpFunctionEnd
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)";
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2018-07-11 13:24:49 +00:00
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SinglePassRunAndCheck<LocalMultiStoreElimPass>(predefs + before,
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predefs + after, true, true);
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2017-06-16 21:37:31 +00:00
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}
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2017-09-20 15:07:55 +00:00
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TEST_F(LocalSSAElimTest, DontPatchPhiInLoopHeaderThatIsNotAVar) {
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// From https://github.com/KhronosGroup/SPIRV-Tools/issues/826
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// Don't try patching the (%16 %7) value/predecessor pair in the OpPhi.
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// That OpPhi is unrelated to this optimization: we did not set that up
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// in the SSA initialization for the loop header block.
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// The pass should be a no-op on this module.
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const std::string before = R"(OpCapability Shader
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OpMemoryModel Logical GLSL450
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OpEntryPoint GLCompute %1 "main"
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%void = OpTypeVoid
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%3 = OpTypeFunction %void
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%float = OpTypeFloat 32
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%float_1 = OpConstant %float 1
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%1 = OpFunction %void None %3
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%6 = OpLabel
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OpBranch %7
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%7 = OpLabel
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%8 = OpPhi %float %float_1 %6 %9 %7
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%9 = OpFAdd %float %8 %float_1
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OpLoopMerge %10 %7 None
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OpBranch %7
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%10 = OpLabel
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OpReturn
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OpFunctionEnd
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)";
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2018-07-11 13:24:49 +00:00
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SinglePassRunAndCheck<LocalMultiStoreElimPass>(before, before, true, true);
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2017-09-20 15:07:55 +00:00
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}
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2017-12-08 17:44:15 +00:00
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TEST_F(LocalSSAElimTest, OptInitializedVariableLikeStore) {
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// Note: SPIR-V edited to change store to v into variable initialization
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//
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// #version 450
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//
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// layout (location=0) in vec4 iColor;
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// layout (location=1) in float fi;
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// layout (location=0) out vec4 oColor;
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//
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// void main()
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// {
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// vec4 v = vec4(0.0);
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// if (fi < 0.0)
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// v.x = iColor.x;
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// oColor = v;
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// }
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2018-02-22 21:05:37 +00:00
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const std::string predefs =
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2017-12-08 17:44:15 +00:00
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R"(OpCapability Shader
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%1 = OpExtInstImport "GLSL.std.450"
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OpMemoryModel Logical GLSL450
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OpEntryPoint Fragment %main "main" %fi %iColor %oColor
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OpExecutionMode %main OriginUpperLeft
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OpSource GLSL 450
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OpName %main "main"
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OpName %v "v"
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OpName %fi "fi"
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OpName %iColor "iColor"
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OpName %oColor "oColor"
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OpDecorate %fi Location 1
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OpDecorate %iColor Location 0
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OpDecorate %oColor Location 0
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%void = OpTypeVoid
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%8 = OpTypeFunction %void
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%float = OpTypeFloat 32
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%v4float = OpTypeVector %float 4
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%_ptr_Function_v4float = OpTypePointer Function %v4float
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%float_0 = OpConstant %float 0
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%13 = OpConstantComposite %v4float %float_0 %float_0 %float_0 %float_0
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%_ptr_Input_float = OpTypePointer Input %float
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%fi = OpVariable %_ptr_Input_float Input
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%bool = OpTypeBool
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%_ptr_Input_v4float = OpTypePointer Input %v4float
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%iColor = OpVariable %_ptr_Input_v4float Input
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%uint = OpTypeInt 32 0
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%uint_0 = OpConstant %uint 0
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%_ptr_Function_float = OpTypePointer Function %float
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%_ptr_Output_v4float = OpTypePointer Output %v4float
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%oColor = OpVariable %_ptr_Output_v4float Output
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)";
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const std::string func_before =
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R"(%main = OpFunction %void None %8
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%21 = OpLabel
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%v = OpVariable %_ptr_Function_v4float Function %13
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%22 = OpLoad %float %fi
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%23 = OpFOrdLessThan %bool %22 %float_0
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OpSelectionMerge %24 None
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OpBranchConditional %23 %25 %24
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%25 = OpLabel
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%26 = OpAccessChain %_ptr_Input_float %iColor %uint_0
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%27 = OpLoad %float %26
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%28 = OpLoad %v4float %v
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%29 = OpCompositeInsert %v4float %27 %28 0
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OpStore %v %29
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OpBranch %24
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%24 = OpLabel
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%30 = OpLoad %v4float %v
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OpStore %oColor %30
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OpReturn
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OpFunctionEnd
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)";
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const std::string func_after =
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R"(%main = OpFunction %void None %8
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%21 = OpLabel
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2018-02-22 21:05:37 +00:00
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%v = OpVariable %_ptr_Function_v4float Function %13
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2017-12-08 17:44:15 +00:00
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%22 = OpLoad %float %fi
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%23 = OpFOrdLessThan %bool %22 %float_0
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OpSelectionMerge %24 None
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OpBranchConditional %23 %25 %24
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%25 = OpLabel
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%26 = OpAccessChain %_ptr_Input_float %iColor %uint_0
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%27 = OpLoad %float %26
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%29 = OpCompositeInsert %v4float %27 %13 0
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2018-02-22 21:05:37 +00:00
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OpStore %v %29
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2017-12-08 17:44:15 +00:00
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OpBranch %24
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%24 = OpLabel
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%31 = OpPhi %v4float %13 %21 %29 %25
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OpStore %oColor %31
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OpReturn
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OpFunctionEnd
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)";
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2018-07-11 13:24:49 +00:00
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SinglePassRunAndCheck<LocalMultiStoreElimPass>(
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2018-02-22 21:05:37 +00:00
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predefs + func_before, predefs + func_after, true, true);
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2017-12-08 17:44:15 +00:00
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}
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2017-12-11 18:10:24 +00:00
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TEST_F(LocalSSAElimTest, PointerVariable) {
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// Test that checks if a pointer variable is removed.
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const std::string before =
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R"(OpCapability Shader
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OpMemoryModel Logical GLSL450
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OpEntryPoint Fragment %1 "main" %2
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OpExecutionMode %1 OriginUpperLeft
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OpMemberDecorate %_struct_3 0 Offset 0
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OpDecorate %_runtimearr__struct_3 ArrayStride 16
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OpMemberDecorate %_struct_5 0 Offset 0
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OpDecorate %_struct_5 BufferBlock
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OpMemberDecorate %_struct_6 0 Offset 0
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OpDecorate %_struct_6 BufferBlock
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OpDecorate %2 Location 0
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OpDecorate %7 DescriptorSet 0
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OpDecorate %7 Binding 0
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%void = OpTypeVoid
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%10 = OpTypeFunction %void
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%int = OpTypeInt 32 1
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%uint = OpTypeInt 32 0
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%float = OpTypeFloat 32
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%v4float = OpTypeVector %float 4
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%_ptr_Output_v4float = OpTypePointer Output %v4float
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%_ptr_Uniform_v4float = OpTypePointer Uniform %v4float
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%_struct_3 = OpTypeStruct %v4float
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%_runtimearr__struct_3 = OpTypeRuntimeArray %_struct_3
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%_struct_5 = OpTypeStruct %_runtimearr__struct_3
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%_ptr_Uniform__struct_5 = OpTypePointer Uniform %_struct_5
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%_struct_6 = OpTypeStruct %int
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%_ptr_Uniform__struct_6 = OpTypePointer Uniform %_struct_6
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%_ptr_Function__ptr_Uniform__struct_5 = OpTypePointer Function %_ptr_Uniform__struct_5
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%_ptr_Function__ptr_Uniform__struct_6 = OpTypePointer Function %_ptr_Uniform__struct_6
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%int_0 = OpConstant %int 0
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%uint_0 = OpConstant %uint 0
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%2 = OpVariable %_ptr_Output_v4float Output
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%7 = OpVariable %_ptr_Uniform__struct_5 Uniform
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%1 = OpFunction %void None %10
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%23 = OpLabel
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%24 = OpVariable %_ptr_Function__ptr_Uniform__struct_5 Function
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OpStore %24 %7
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%26 = OpLoad %_ptr_Uniform__struct_5 %24
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%27 = OpAccessChain %_ptr_Uniform_v4float %26 %int_0 %uint_0 %int_0
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%28 = OpLoad %v4float %27
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%29 = OpCopyObject %v4float %28
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OpStore %2 %28
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OpReturn
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OpFunctionEnd
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)";
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const std::string after =
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R"(OpCapability Shader
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OpMemoryModel Logical GLSL450
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OpEntryPoint Fragment %1 "main" %2
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OpExecutionMode %1 OriginUpperLeft
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OpMemberDecorate %_struct_3 0 Offset 0
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OpDecorate %_runtimearr__struct_3 ArrayStride 16
|
|
|
|
OpMemberDecorate %_struct_5 0 Offset 0
|
|
|
|
OpDecorate %_struct_5 BufferBlock
|
|
|
|
OpMemberDecorate %_struct_6 0 Offset 0
|
|
|
|
OpDecorate %_struct_6 BufferBlock
|
|
|
|
OpDecorate %2 Location 0
|
|
|
|
OpDecorate %7 DescriptorSet 0
|
|
|
|
OpDecorate %7 Binding 0
|
|
|
|
%void = OpTypeVoid
|
|
|
|
%10 = OpTypeFunction %void
|
|
|
|
%int = OpTypeInt 32 1
|
|
|
|
%uint = OpTypeInt 32 0
|
|
|
|
%float = OpTypeFloat 32
|
|
|
|
%v4float = OpTypeVector %float 4
|
|
|
|
%_ptr_Output_v4float = OpTypePointer Output %v4float
|
|
|
|
%_ptr_Uniform_v4float = OpTypePointer Uniform %v4float
|
|
|
|
%_struct_3 = OpTypeStruct %v4float
|
|
|
|
%_runtimearr__struct_3 = OpTypeRuntimeArray %_struct_3
|
|
|
|
%_struct_5 = OpTypeStruct %_runtimearr__struct_3
|
|
|
|
%_ptr_Uniform__struct_5 = OpTypePointer Uniform %_struct_5
|
|
|
|
%_struct_6 = OpTypeStruct %int
|
|
|
|
%_ptr_Uniform__struct_6 = OpTypePointer Uniform %_struct_6
|
|
|
|
%_ptr_Function__ptr_Uniform__struct_5 = OpTypePointer Function %_ptr_Uniform__struct_5
|
|
|
|
%_ptr_Function__ptr_Uniform__struct_6 = OpTypePointer Function %_ptr_Uniform__struct_6
|
|
|
|
%int_0 = OpConstant %int 0
|
|
|
|
%uint_0 = OpConstant %uint 0
|
|
|
|
%2 = OpVariable %_ptr_Output_v4float Output
|
|
|
|
%7 = OpVariable %_ptr_Uniform__struct_5 Uniform
|
|
|
|
%1 = OpFunction %void None %10
|
|
|
|
%23 = OpLabel
|
2018-02-22 21:05:37 +00:00
|
|
|
%24 = OpVariable %_ptr_Function__ptr_Uniform__struct_5 Function
|
|
|
|
OpStore %24 %7
|
2017-12-11 18:10:24 +00:00
|
|
|
%27 = OpAccessChain %_ptr_Uniform_v4float %7 %int_0 %uint_0 %int_0
|
|
|
|
%28 = OpLoad %v4float %27
|
|
|
|
%29 = OpCopyObject %v4float %28
|
|
|
|
OpStore %2 %28
|
|
|
|
OpReturn
|
|
|
|
OpFunctionEnd
|
|
|
|
)";
|
|
|
|
|
|
|
|
SetAssembleOptions(SPV_TEXT_TO_BINARY_OPTION_PRESERVE_NUMERIC_IDS);
|
2018-07-11 13:24:49 +00:00
|
|
|
SinglePassRunAndCheck<LocalMultiStoreElimPass>(before, after, true, true);
|
2017-12-11 18:10:24 +00:00
|
|
|
}
|
|
|
|
|
2018-01-11 20:05:39 +00:00
|
|
|
TEST_F(LocalSSAElimTest, VerifyInstToBlockMap) {
|
|
|
|
// #version 140
|
|
|
|
//
|
|
|
|
// in vec4 BC;
|
|
|
|
// out float fo;
|
|
|
|
//
|
|
|
|
// void main()
|
|
|
|
// {
|
|
|
|
// float f = 0.0;
|
|
|
|
// for (int i=0; i<4; i++) {
|
|
|
|
// f = f + BC[i];
|
|
|
|
// }
|
|
|
|
// fo = f;
|
|
|
|
// }
|
|
|
|
|
|
|
|
const std::string text = R"(
|
|
|
|
OpCapability Shader
|
|
|
|
%1 = OpExtInstImport "GLSL.std.450"
|
|
|
|
OpMemoryModel Logical GLSL450
|
|
|
|
OpEntryPoint Fragment %main "main" %BC %fo
|
|
|
|
OpExecutionMode %main OriginUpperLeft
|
|
|
|
OpSource GLSL 140
|
|
|
|
OpName %main "main"
|
|
|
|
OpName %f "f"
|
|
|
|
OpName %i "i"
|
|
|
|
OpName %BC "BC"
|
|
|
|
OpName %fo "fo"
|
|
|
|
%void = OpTypeVoid
|
|
|
|
%8 = OpTypeFunction %void
|
|
|
|
%float = OpTypeFloat 32
|
|
|
|
%_ptr_Function_float = OpTypePointer Function %float
|
|
|
|
%float_0 = OpConstant %float 0
|
|
|
|
%int = OpTypeInt 32 1
|
|
|
|
%_ptr_Function_int = OpTypePointer Function %int
|
|
|
|
%int_0 = OpConstant %int 0
|
|
|
|
%int_4 = OpConstant %int 4
|
|
|
|
%bool = OpTypeBool
|
|
|
|
%v4float = OpTypeVector %float 4
|
|
|
|
%_ptr_Input_v4float = OpTypePointer Input %v4float
|
|
|
|
%BC = OpVariable %_ptr_Input_v4float Input
|
|
|
|
%_ptr_Input_float = OpTypePointer Input %float
|
|
|
|
%int_1 = OpConstant %int 1
|
|
|
|
%_ptr_Output_float = OpTypePointer Output %float
|
|
|
|
%fo = OpVariable %_ptr_Output_float Output
|
|
|
|
%main = OpFunction %void None %8
|
|
|
|
%22 = OpLabel
|
|
|
|
%f = OpVariable %_ptr_Function_float Function
|
|
|
|
%i = OpVariable %_ptr_Function_int Function
|
|
|
|
OpStore %f %float_0
|
|
|
|
OpStore %i %int_0
|
|
|
|
OpBranch %23
|
|
|
|
%23 = OpLabel
|
|
|
|
OpLoopMerge %24 %25 None
|
|
|
|
OpBranch %26
|
|
|
|
%26 = OpLabel
|
|
|
|
%27 = OpLoad %int %i
|
|
|
|
%28 = OpSLessThan %bool %27 %int_4
|
|
|
|
OpBranchConditional %28 %29 %24
|
|
|
|
%29 = OpLabel
|
|
|
|
%30 = OpLoad %float %f
|
|
|
|
%31 = OpLoad %int %i
|
|
|
|
%32 = OpAccessChain %_ptr_Input_float %BC %31
|
|
|
|
%33 = OpLoad %float %32
|
|
|
|
%34 = OpFAdd %float %30 %33
|
|
|
|
OpStore %f %34
|
|
|
|
OpBranch %25
|
|
|
|
%25 = OpLabel
|
|
|
|
%35 = OpLoad %int %i
|
|
|
|
%36 = OpIAdd %int %35 %int_1
|
|
|
|
OpStore %i %36
|
|
|
|
OpBranch %23
|
|
|
|
%24 = OpLabel
|
|
|
|
%37 = OpLoad %float %f
|
|
|
|
OpStore %fo %37
|
|
|
|
OpReturn
|
|
|
|
OpFunctionEnd
|
|
|
|
)";
|
|
|
|
|
2018-07-11 13:24:49 +00:00
|
|
|
std::unique_ptr<IRContext> context =
|
2018-01-11 20:05:39 +00:00
|
|
|
BuildModule(SPV_ENV_UNIVERSAL_1_1, nullptr, text,
|
|
|
|
SPV_TEXT_TO_BINARY_OPTION_PRESERVE_NUMERIC_IDS);
|
|
|
|
EXPECT_NE(nullptr, context);
|
|
|
|
|
|
|
|
// Force the instruction to block mapping to get built.
|
|
|
|
context->get_instr_block(27u);
|
|
|
|
|
2018-07-11 13:24:49 +00:00
|
|
|
auto pass = MakeUnique<LocalMultiStoreElimPass>();
|
2018-01-11 20:05:39 +00:00
|
|
|
pass->SetMessageConsumer(nullptr);
|
|
|
|
const auto status = pass->Run(context.get());
|
2018-07-11 13:24:49 +00:00
|
|
|
EXPECT_TRUE(status == Pass::Status::SuccessWithChange);
|
2018-01-11 20:05:39 +00:00
|
|
|
}
|
|
|
|
|
SSA rewrite pass.
This pass replaces the load/store elimination passes. It implements the
SSA re-writing algorithm proposed in
Simple and Efficient Construction of Static Single Assignment Form.
Braun M., Buchwald S., Hack S., Leißa R., Mallon C., Zwinkau A. (2013)
In: Jhala R., De Bosschere K. (eds)
Compiler Construction. CC 2013.
Lecture Notes in Computer Science, vol 7791.
Springer, Berlin, Heidelberg
https://link.springer.com/chapter/10.1007/978-3-642-37051-9_6
In contrast to common eager algorithms based on dominance and dominance
frontier information, this algorithm works backwards from load operations.
When a target variable is loaded, it queries the variable's reaching
definition. If the reaching definition is unknown at the current location,
it searches backwards in the CFG, inserting Phi instructions at join points
in the CFG along the way until it finds the desired store instruction.
The algorithm avoids repeated lookups using memoization.
For reducible CFGs, which are a superset of the structured CFGs in SPIRV,
this algorithm is proven to produce minimal SSA. That is, it inserts the
minimal number of Phi instructions required to ensure the SSA property, but
some Phi instructions may be dead
(https://en.wikipedia.org/wiki/Static_single_assignment_form).
2018-02-22 21:18:29 +00:00
|
|
|
// TODO(dneto): Add Effcee as required dependency, and make this unconditional.
|
|
|
|
#ifdef SPIRV_EFFCEE
|
|
|
|
TEST_F(LocalSSAElimTest, CompositeExtractProblem) {
|
|
|
|
const std::string spv_asm = R"(
|
|
|
|
OpCapability Tessellation
|
|
|
|
%1 = OpExtInstImport "GLSL.std.450"
|
|
|
|
OpMemoryModel Logical GLSL450
|
2018-05-31 13:07:09 +00:00
|
|
|
OpEntryPoint TessellationControl %2 "main" %16 %17 %18 %20 %22 %26 %27 %30 %31
|
SSA rewrite pass.
This pass replaces the load/store elimination passes. It implements the
SSA re-writing algorithm proposed in
Simple and Efficient Construction of Static Single Assignment Form.
Braun M., Buchwald S., Hack S., Leißa R., Mallon C., Zwinkau A. (2013)
In: Jhala R., De Bosschere K. (eds)
Compiler Construction. CC 2013.
Lecture Notes in Computer Science, vol 7791.
Springer, Berlin, Heidelberg
https://link.springer.com/chapter/10.1007/978-3-642-37051-9_6
In contrast to common eager algorithms based on dominance and dominance
frontier information, this algorithm works backwards from load operations.
When a target variable is loaded, it queries the variable's reaching
definition. If the reaching definition is unknown at the current location,
it searches backwards in the CFG, inserting Phi instructions at join points
in the CFG along the way until it finds the desired store instruction.
The algorithm avoids repeated lookups using memoization.
For reducible CFGs, which are a superset of the structured CFGs in SPIRV,
this algorithm is proven to produce minimal SSA. That is, it inserts the
minimal number of Phi instructions required to ensure the SSA property, but
some Phi instructions may be dead
(https://en.wikipedia.org/wiki/Static_single_assignment_form).
2018-02-22 21:18:29 +00:00
|
|
|
%void = OpTypeVoid
|
|
|
|
%4 = OpTypeFunction %void
|
|
|
|
%float = OpTypeFloat 32
|
|
|
|
%v4float = OpTypeVector %float 4
|
|
|
|
%uint = OpTypeInt 32 0
|
|
|
|
%uint_3 = OpConstant %uint 3
|
|
|
|
%v3float = OpTypeVector %float 3
|
|
|
|
%v2float = OpTypeVector %float 2
|
|
|
|
%_struct_11 = OpTypeStruct %v4float %v4float %v4float %v3float %v3float %v2float %v2float
|
|
|
|
%_arr__struct_11_uint_3 = OpTypeArray %_struct_11 %uint_3
|
|
|
|
%_ptr_Function__arr__struct_11_uint_3 = OpTypePointer Function %_arr__struct_11_uint_3
|
|
|
|
%_arr_v4float_uint_3 = OpTypeArray %v4float %uint_3
|
|
|
|
%_ptr_Input__arr_v4float_uint_3 = OpTypePointer Input %_arr_v4float_uint_3
|
|
|
|
%16 = OpVariable %_ptr_Input__arr_v4float_uint_3 Input
|
|
|
|
%17 = OpVariable %_ptr_Input__arr_v4float_uint_3 Input
|
|
|
|
%18 = OpVariable %_ptr_Input__arr_v4float_uint_3 Input
|
|
|
|
%_ptr_Input_uint = OpTypePointer Input %uint
|
|
|
|
%20 = OpVariable %_ptr_Input_uint Input
|
|
|
|
%_ptr_Output__arr_v4float_uint_3 = OpTypePointer Output %_arr_v4float_uint_3
|
|
|
|
%22 = OpVariable %_ptr_Output__arr_v4float_uint_3 Output
|
|
|
|
%_ptr_Output_v4float = OpTypePointer Output %v4float
|
|
|
|
%_arr_v3float_uint_3 = OpTypeArray %v3float %uint_3
|
|
|
|
%_ptr_Input__arr_v3float_uint_3 = OpTypePointer Input %_arr_v3float_uint_3
|
|
|
|
%26 = OpVariable %_ptr_Input__arr_v3float_uint_3 Input
|
|
|
|
%27 = OpVariable %_ptr_Input__arr_v3float_uint_3 Input
|
|
|
|
%_arr_v2float_uint_3 = OpTypeArray %v2float %uint_3
|
|
|
|
%_ptr_Input__arr_v2float_uint_3 = OpTypePointer Input %_arr_v2float_uint_3
|
|
|
|
%30 = OpVariable %_ptr_Input__arr_v2float_uint_3 Input
|
|
|
|
%31 = OpVariable %_ptr_Input__arr_v2float_uint_3 Input
|
|
|
|
%_ptr_Function__struct_11 = OpTypePointer Function %_struct_11
|
|
|
|
%2 = OpFunction %void None %4
|
|
|
|
%33 = OpLabel
|
|
|
|
%34 = OpLoad %_arr_v4float_uint_3 %16
|
|
|
|
%35 = OpLoad %_arr_v4float_uint_3 %17
|
|
|
|
%36 = OpLoad %_arr_v4float_uint_3 %18
|
|
|
|
%37 = OpLoad %_arr_v3float_uint_3 %26
|
|
|
|
%38 = OpLoad %_arr_v3float_uint_3 %27
|
|
|
|
%39 = OpLoad %_arr_v2float_uint_3 %30
|
|
|
|
%40 = OpLoad %_arr_v2float_uint_3 %31
|
|
|
|
%41 = OpCompositeExtract %v4float %34 0
|
|
|
|
%42 = OpCompositeExtract %v4float %35 0
|
|
|
|
%43 = OpCompositeExtract %v4float %36 0
|
|
|
|
%44 = OpCompositeExtract %v3float %37 0
|
|
|
|
%45 = OpCompositeExtract %v3float %38 0
|
|
|
|
%46 = OpCompositeExtract %v2float %39 0
|
|
|
|
%47 = OpCompositeExtract %v2float %40 0
|
|
|
|
%48 = OpCompositeConstruct %_struct_11 %41 %42 %43 %44 %45 %46 %47
|
|
|
|
%49 = OpCompositeExtract %v4float %34 1
|
|
|
|
%50 = OpCompositeExtract %v4float %35 1
|
|
|
|
%51 = OpCompositeExtract %v4float %36 1
|
|
|
|
%52 = OpCompositeExtract %v3float %37 1
|
|
|
|
%53 = OpCompositeExtract %v3float %38 1
|
|
|
|
%54 = OpCompositeExtract %v2float %39 1
|
|
|
|
%55 = OpCompositeExtract %v2float %40 1
|
|
|
|
%56 = OpCompositeConstruct %_struct_11 %49 %50 %51 %52 %53 %54 %55
|
|
|
|
%57 = OpCompositeExtract %v4float %34 2
|
|
|
|
%58 = OpCompositeExtract %v4float %35 2
|
|
|
|
%59 = OpCompositeExtract %v4float %36 2
|
|
|
|
%60 = OpCompositeExtract %v3float %37 2
|
|
|
|
%61 = OpCompositeExtract %v3float %38 2
|
|
|
|
%62 = OpCompositeExtract %v2float %39 2
|
|
|
|
%63 = OpCompositeExtract %v2float %40 2
|
|
|
|
%64 = OpCompositeConstruct %_struct_11 %57 %58 %59 %60 %61 %62 %63
|
|
|
|
%65 = OpCompositeConstruct %_arr__struct_11_uint_3 %48 %56 %64
|
|
|
|
%66 = OpVariable %_ptr_Function__arr__struct_11_uint_3 Function
|
|
|
|
%67 = OpLoad %uint %20
|
|
|
|
|
|
|
|
; CHECK OpStore {{%\d+}} [[store_source:%\d+]]
|
|
|
|
OpStore %66 %65
|
|
|
|
%68 = OpAccessChain %_ptr_Function__struct_11 %66 %67
|
|
|
|
|
|
|
|
; This load was being removed, because %_ptr_Function__struct_11 was being
|
|
|
|
; wrongfully considered an SSA target.
|
|
|
|
; CHECK OpLoad %_struct_11 %68
|
|
|
|
%69 = OpLoad %_struct_11 %68
|
|
|
|
|
|
|
|
; Similarly, %69 cannot be replaced with %65.
|
|
|
|
; CHECK-NOT: OpCompositeExtract %v4float [[store_source]] 0
|
|
|
|
%70 = OpCompositeExtract %v4float %69 0
|
|
|
|
|
|
|
|
%71 = OpAccessChain %_ptr_Output_v4float %22 %67
|
|
|
|
OpStore %71 %70
|
|
|
|
OpReturn
|
|
|
|
OpFunctionEnd)";
|
|
|
|
|
2018-07-11 13:24:49 +00:00
|
|
|
SinglePassRunAndMatch<SSARewritePass>(spv_asm, true);
|
SSA rewrite pass.
This pass replaces the load/store elimination passes. It implements the
SSA re-writing algorithm proposed in
Simple and Efficient Construction of Static Single Assignment Form.
Braun M., Buchwald S., Hack S., Leißa R., Mallon C., Zwinkau A. (2013)
In: Jhala R., De Bosschere K. (eds)
Compiler Construction. CC 2013.
Lecture Notes in Computer Science, vol 7791.
Springer, Berlin, Heidelberg
https://link.springer.com/chapter/10.1007/978-3-642-37051-9_6
In contrast to common eager algorithms based on dominance and dominance
frontier information, this algorithm works backwards from load operations.
When a target variable is loaded, it queries the variable's reaching
definition. If the reaching definition is unknown at the current location,
it searches backwards in the CFG, inserting Phi instructions at join points
in the CFG along the way until it finds the desired store instruction.
The algorithm avoids repeated lookups using memoization.
For reducible CFGs, which are a superset of the structured CFGs in SPIRV,
this algorithm is proven to produce minimal SSA. That is, it inserts the
minimal number of Phi instructions required to ensure the SSA property, but
some Phi instructions may be dead
(https://en.wikipedia.org/wiki/Static_single_assignment_form).
2018-02-22 21:18:29 +00:00
|
|
|
}
|
|
|
|
#endif
|
|
|
|
|
2017-06-16 21:37:31 +00:00
|
|
|
// TODO(greg-lunarg): Add tests to verify handling of these cases:
|
|
|
|
//
|
|
|
|
// No optimization in the presence of
|
|
|
|
// access chains
|
|
|
|
// function calls
|
|
|
|
// OpCopyMemory?
|
|
|
|
// unsupported extensions
|
|
|
|
// Others?
|
|
|
|
|
2018-07-11 13:24:49 +00:00
|
|
|
} // namespace
|
|
|
|
} // namespace opt
|
|
|
|
} // namespace spvtools
|