Commit Graph

5 Commits

Author SHA1 Message Date
River Riddle
4bfae66d70 Refactor the 'walk' methods for operations.
This change refactors and cleans up the implementation of the operation walk methods. After this refactoring is that the explicit template parameter for the operation type is no longer needed for the explicit op walks. For example:

    op->walk<AffineForOp>([](AffineForOp op) { ... });

is now accomplished via:

    op->walk([](AffineForOp op) { ... });

PiperOrigin-RevId: 266209552
2019-08-29 13:04:50 -07:00
Jacques Pienaar
79f53b0cf1 Change from llvm::make_unique to std::make_unique
Switch to C++14 standard method as llvm::make_unique has been removed (
https://reviews.llvm.org/D66259). Also mark some targets as c++14 to ease next
integrates.

PiperOrigin-RevId: 263953918
2019-08-17 11:06:03 -07:00
Mehdi Amini
926fb685de Express ownership transfer in PassManager API through std::unique_ptr (NFC)
Since raw pointers are always passed around for IR construct without
implying any ownership transfer, it can be error prone to have implicit
ownership transferred the same way.
For example this code can seem harmless:

  Pass *pass = ....
  pm.addPass(pass);
  pm.addPass(pass);
  pm.run(module);

PiperOrigin-RevId: 263053082
2019-08-12 19:13:12 -07:00
River Riddle
1e42954032 NFC: Standardize the terminology used for parent ops/regions/etc.
There are currently several different terms used to refer to a parent IR unit in 'get' methods: getParent/getEnclosing/getContaining. This cl standardizes all of these methods to use 'getParent*'.

PiperOrigin-RevId: 262680287
2019-08-09 20:07:52 -07:00
Nicolas Vasilache
db4cd1c8dc Utility function to map a loop on a parametric grid of virtual processors
This CL introduces a simple loop utility function which rewrites the bounds and step of a loop so as to become mappable on a regular grid of processors whose identifiers are given by SSA values.

A corresponding unit test is added.

For example, using CUDA terminology, and assuming a 2-d grid with processorIds = [blockIdx.x, threadIdx.x] and numProcessors = [gridDim.x, blockDim.x], the loop:
```
   loop.for %i = %lb to %ub step %step {
     ...
   }
```
is rewritten into a version resembling the following pseudo-IR:
```
   loop.for %i = %lb + threadIdx.x + blockIdx.x * blockDim.x to %ub
      step %gridDim.x * blockDim.x {
     ...
   }
```

PiperOrigin-RevId: 258945942
2019-07-19 11:40:31 -07:00