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Summary: Fixes https://github.com/pytorch/pytorch/issues/53864 This PR adds the following APIs that perform loop distribution to `LoopNest`: ``` static std::vector<For*> distributeLoop(For* loop, const std::unordered_set<Stmt*>& pivots); static std::vector<For*> distributeLoop(For* loop); static std::vector<For*> distributeLoopOverInnerLoops(For* loop); ``` * The first method distributes the given loop over its body by splitting after every given pivot stmt. * The second method distributes the given loop over every stmt in its body. * The last method distributes the given loop over its body by splitting after every `For` stmt in its body. Pull Request resolved: https://github.com/pytorch/pytorch/pull/53865 Reviewed By: mruberry Differential Revision: D27075006 Pulled By: navahgar fbshipit-source-id: 031746aad619fe84c109e78b53387535e7f77cef
TensorExpr C++ Tests
How to add a new test
First, create a new test file. Test files should have be placed in this
directory, with a name that starts with test_
, like test_foo.cpp
.
Here is an example test file you can copy-paste.
#include <test/cpp/tensorexpr/test_base.h>
// Tests go in torch::jit
namespace torch {
namespace jit {
// 1. Test cases are void() functions.
// 2. They start with the prefix `test`
void testCaseOne() {
// ...
}
void testCaseTwo() {
// ...
}
}
}
Then, register your test in tests.h
:
// Add to TH_FORALL_TESTS_CUDA instead for CUDA-requiring tests
#define TH_FORALL_TESTS(_) \
_(ADFormulas) \
_(Attributes) \
...
_(CaseOne) // note that the `test` prefix is omitted.
_(CaseTwo)
We glob all the test files together in CMakeLists.txt
so that you don't
have to edit it every time you add a test. Unfortunately, this means that in
order to get the build to pick up your new test file, you need to re-run
cmake:
python setup.py build --cmake
How do I run the tests?
The following commands assume you are in PyTorch root.
# (re)build the test binary
ninja build/bin/test_tensorexpr
# run
build/bin/test_tensorexpr --gtest_filter='glob_style_filter*'