pytorch/test/cpp/tensorexpr
Michael Andreas Dagitses ab2ca95dd1 turn on -Werror=unused-variable in our Bazel CPU build
Summary:
We also fix any existing issues. Note that we only do this for the CPU
build because nvcc is considered a C++ toolchain but it does not have
the same flag support. Adding flags to the GPU build will cause nvcc
errors.

Test Plan: Built locally, rely on CI to confirm.

Reviewers: malfet

Subscribers:

Tasks:

Tags:

Pull Request resolved: https://github.com/pytorch/pytorch/pull/79156

Approved by: https://github.com/seemethere, https://github.com/osalpekar, https://github.com/albanD
2022-06-11 02:46:34 +00:00
..
CMakeLists.txt Moving Remove Tensor Type Specializations to after custom passes 2022-04-11 22:12:01 +00:00
gtest_assert_float_eq.h
padded_buffer.cpp
padded_buffer.h
README.md
test_approx.cpp
test_aten.cpp
test_base.h Fix sign-compare violations in cpp tests 2022-04-04 23:05:31 +00:00
test_boundsinference.cpp [TensorExpr] Delet DimArg class. (#72390) 2022-02-11 01:21:59 +00:00
test_conv.cpp turn on -Werror=unused-function in our Bazel CPU build 2022-06-10 22:11:54 +00:00
test_cpp_codegen.cpp
test_cuda.cpp [TensorExpr] Delet DimArg class. (#72390) 2022-02-11 01:21:59 +00:00
test_dynamic_shapes.cpp Lock thread/block computation (#73800) 2022-03-04 22:32:08 +00:00
test_expr.cpp [NNC] Add utility functions to check channels-last contiguous (#75938) 2022-04-22 06:42:39 -07:00
test_external_calls.cpp [NNC] Lowering function generates the output buffer with the specified stride (#76529) 2022-05-04 20:04:22 +00:00
test_graph_opt.cpp [TensorExpr] Add some graph-rewrite passes to prepare models for AOT compilation. (#66515) 2022-01-07 01:03:53 -08:00
test_ir_printer.cpp [TensorExpr] Delet DimArg class. (#72390) 2022-02-11 01:21:59 +00:00
test_ir_verifier.cpp
test_kernel.cpp turn on -Werror=unused-variable in our Bazel CPU build 2022-06-11 02:46:34 +00:00
test_llvm.cpp [TensorExpr] Delet DimArg class. (#72390) 2022-02-11 01:21:59 +00:00
test_loopnest.cpp Simplify IfThenElse and CompareSelect within for-loop (#76793) 2022-05-15 20:21:28 +00:00
test_memdependency.cpp Simplify IfThenElse and CompareSelect within for-loop (#76793) 2022-05-15 20:21:28 +00:00
test_memplanning.cpp [tensorexpre] Add typecast when src and dest buf types are different in PlacementAllocate (#71934) 2022-02-23 19:36:50 +00:00
test_ops.cpp [NNC] Lowering function generates the output buffer with the specified stride (#76529) 2022-05-04 20:04:22 +00:00
test_quantization.cpp [quant][core][better-engineering] Rename files in quantized directory to conform with non-quantized countertpart filenames 2022-06-07 13:47:08 +00:00
test_reductions.cpp turn on -Werror=unused-variable in our Bazel CPU build 2022-06-11 02:46:34 +00:00
test_registerizer.cpp
test_simplify.cpp Simplify IfThenElse and CompareSelect within for-loop (#76793) 2022-05-15 20:21:28 +00:00
test_te_fuser_pass.cpp Revert D34808051: [tensorexpr] Enabled aten::stack in the fuser pass with static shapes 2022-03-31 04:25:43 +00:00
test_type_specializations.cpp Moving Remove Tensor Type Specializations to after custom passes 2022-04-11 22:12:01 +00:00
test_type.cpp turn on -Werror=unused-variable in our Bazel CPU build 2022-06-11 02:46:34 +00:00
test_utils.h
tutorial.cpp turn on -Werror=unused-function in our Bazel CPU build 2022-06-10 22:11:54 +00:00

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*'