llvm-project/mlir/test/Pass/pipeline-stats.mlir

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Add support for instance specific pass statistics. Statistics are a way to keep track of what the compiler is doing and how effective various optimizations are. It is useful to see what optimizations are contributing to making a particular program run faster. Pass-instance specific statistics take this even further as you can see the effect of placing a particular pass at specific places within the pass pipeline, e.g. they could help answer questions like "what happens if I run CSE again here". Statistics can be added to a pass by simply adding members of type 'Pass::Statistics'. This class takes as a constructor arguments: the parent pass pointer, a name, and a description. Statistics can be dumped by the pass manager in a similar manner to how pass timing information is dumped, i.e. via PassManager::enableStatistics programmatically; or -pass-statistics and -pass-statistics-display via the command line pass manager options. Below is an example: struct MyPass : public OperationPass<MyPass> { Statistic testStat{this, "testStat", "A test statistic"}; void runOnOperation() { ... ++testStat; ... } }; $ mlir-opt -pass-pipeline='func(my-pass,my-pass)' foo.mlir -pass-statistics Pipeline Display: ===-------------------------------------------------------------------------=== ... Pass statistics report ... ===-------------------------------------------------------------------------=== 'func' Pipeline MyPass (S) 15 testStat - A test statistic MyPass (S) 6 testStat - A test statistic List Display: ===-------------------------------------------------------------------------=== ... Pass statistics report ... ===-------------------------------------------------------------------------=== MyPass (S) 21 testStat - A test statistic PiperOrigin-RevId: 284022014
2019-12-06 03:52:58 +08:00
// RUN: mlir-opt %s -verify-each=true -pass-pipeline='func(test-stats-pass,test-stats-pass)' -pass-statistics -pass-statistics-display=list 2>&1 | FileCheck -check-prefix=LIST %s
// RUN: mlir-opt %s -verify-each=true -pass-pipeline='func(test-stats-pass,test-stats-pass)' -pass-statistics -pass-statistics-display=pipeline 2>&1 | FileCheck -check-prefix=PIPELINE %s
// LIST: Pass statistics report
// LIST: TestStatisticPass
// LIST-NEXT: (S) {{0|8}} num-ops - Number of operations counted
Add support for instance specific pass statistics. Statistics are a way to keep track of what the compiler is doing and how effective various optimizations are. It is useful to see what optimizations are contributing to making a particular program run faster. Pass-instance specific statistics take this even further as you can see the effect of placing a particular pass at specific places within the pass pipeline, e.g. they could help answer questions like "what happens if I run CSE again here". Statistics can be added to a pass by simply adding members of type 'Pass::Statistics'. This class takes as a constructor arguments: the parent pass pointer, a name, and a description. Statistics can be dumped by the pass manager in a similar manner to how pass timing information is dumped, i.e. via PassManager::enableStatistics programmatically; or -pass-statistics and -pass-statistics-display via the command line pass manager options. Below is an example: struct MyPass : public OperationPass<MyPass> { Statistic testStat{this, "testStat", "A test statistic"}; void runOnOperation() { ... ++testStat; ... } }; $ mlir-opt -pass-pipeline='func(my-pass,my-pass)' foo.mlir -pass-statistics Pipeline Display: ===-------------------------------------------------------------------------=== ... Pass statistics report ... ===-------------------------------------------------------------------------=== 'func' Pipeline MyPass (S) 15 testStat - A test statistic MyPass (S) 6 testStat - A test statistic List Display: ===-------------------------------------------------------------------------=== ... Pass statistics report ... ===-------------------------------------------------------------------------=== MyPass (S) 21 testStat - A test statistic PiperOrigin-RevId: 284022014
2019-12-06 03:52:58 +08:00
// LIST-NOT: Verifier
// PIPELINE: Pass statistics report
// PIPELINE: 'func' Pipeline
// PIPELINE-NEXT: TestStatisticPass
// PIPELINE-NEXT: (S) {{0|4}} num-ops - Number of operations counted
Add support for instance specific pass statistics. Statistics are a way to keep track of what the compiler is doing and how effective various optimizations are. It is useful to see what optimizations are contributing to making a particular program run faster. Pass-instance specific statistics take this even further as you can see the effect of placing a particular pass at specific places within the pass pipeline, e.g. they could help answer questions like "what happens if I run CSE again here". Statistics can be added to a pass by simply adding members of type 'Pass::Statistics'. This class takes as a constructor arguments: the parent pass pointer, a name, and a description. Statistics can be dumped by the pass manager in a similar manner to how pass timing information is dumped, i.e. via PassManager::enableStatistics programmatically; or -pass-statistics and -pass-statistics-display via the command line pass manager options. Below is an example: struct MyPass : public OperationPass<MyPass> { Statistic testStat{this, "testStat", "A test statistic"}; void runOnOperation() { ... ++testStat; ... } }; $ mlir-opt -pass-pipeline='func(my-pass,my-pass)' foo.mlir -pass-statistics Pipeline Display: ===-------------------------------------------------------------------------=== ... Pass statistics report ... ===-------------------------------------------------------------------------=== 'func' Pipeline MyPass (S) 15 testStat - A test statistic MyPass (S) 6 testStat - A test statistic List Display: ===-------------------------------------------------------------------------=== ... Pass statistics report ... ===-------------------------------------------------------------------------=== MyPass (S) 21 testStat - A test statistic PiperOrigin-RevId: 284022014
2019-12-06 03:52:58 +08:00
// PIPELINE-NEXT: TestStatisticPass
// PIPELINE-NEXT: (S) {{0|4}} num-ops - Number of operations counted
Add support for instance specific pass statistics. Statistics are a way to keep track of what the compiler is doing and how effective various optimizations are. It is useful to see what optimizations are contributing to making a particular program run faster. Pass-instance specific statistics take this even further as you can see the effect of placing a particular pass at specific places within the pass pipeline, e.g. they could help answer questions like "what happens if I run CSE again here". Statistics can be added to a pass by simply adding members of type 'Pass::Statistics'. This class takes as a constructor arguments: the parent pass pointer, a name, and a description. Statistics can be dumped by the pass manager in a similar manner to how pass timing information is dumped, i.e. via PassManager::enableStatistics programmatically; or -pass-statistics and -pass-statistics-display via the command line pass manager options. Below is an example: struct MyPass : public OperationPass<MyPass> { Statistic testStat{this, "testStat", "A test statistic"}; void runOnOperation() { ... ++testStat; ... } }; $ mlir-opt -pass-pipeline='func(my-pass,my-pass)' foo.mlir -pass-statistics Pipeline Display: ===-------------------------------------------------------------------------=== ... Pass statistics report ... ===-------------------------------------------------------------------------=== 'func' Pipeline MyPass (S) 15 testStat - A test statistic MyPass (S) 6 testStat - A test statistic List Display: ===-------------------------------------------------------------------------=== ... Pass statistics report ... ===-------------------------------------------------------------------------=== MyPass (S) 21 testStat - A test statistic PiperOrigin-RevId: 284022014
2019-12-06 03:52:58 +08:00
func @foo() {
return
}
func @bar() {
return
}