pytorch/test/cpp/tensorexpr
Ivan Kobzarev 34e4418dfa [nnc] tensorexpr for quantized/aten::upsample_nearest2d (#71236)
Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/71236

Test Plan: Imported from OSS

Reviewed By: ZolotukhinM

Differential Revision: D33553305

Pulled By: IvanKobzarev

fbshipit-source-id: 2442afee6d23123bb3a4bc52d3555393b0254106
(cherry picked from commit 90a263fc08dc6302a74736070c02606937486956)
2022-02-01 19:48:53 +00:00
..
CMakeLists.txt [tensorexpr] Add memory planning to reuse intermediate buffers (#66452) 2021-12-17 01:38:02 -08:00
gtest_assert_float_eq.h
padded_buffer.cpp
padded_buffer.h
README.md [TensorExpr] Add a class for representing data type. (#33217) 2020-02-21 13:10:12 -08:00
test_approx.cpp
test_aten.cpp
test_base.h
test_boundsinference.cpp
test_conv.cpp
test_cpp_codegen.cpp
test_cuda.cpp [nnc] Update block and thread extents in cuda_codegen to use int64_t (#71428) 2022-01-19 23:21:24 +00:00
test_dynamic_shapes.cpp Jiterates exp2, erfc, erfinv and entr and refactors code_template.h to ATen (#71295) 2022-01-13 23:58:51 -08:00
test_expr.cpp
test_external_calls.cpp
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
test_ir_verifier.cpp
test_kernel.cpp [TensorExpr] Support scalar intermediate and output values. (#71186) 2022-01-26 06:32:51 +00:00
test_llvm.cpp [nnc] Use given kernel function name while emitting code (#67781) 2022-01-12 15:49:17 -08:00
test_loopnest.cpp [tensorexpr] Move the allocation of intermediate buffers from TEK to CodeGen (#67143) 2021-12-17 01:37:56 -08:00
test_memdependency.cpp [tensorexpr] Move the allocation of intermediate buffers from TEK to CodeGen (#67143) 2021-12-17 01:37:56 -08:00
test_memplanning.cpp [tensorexpr] Add memory planning to reuse intermediate buffers (#66452) 2021-12-17 01:38:02 -08:00
test_ops.cpp
test_quantization.cpp [nnc] tensorexpr for quantized/aten::upsample_nearest2d (#71236) 2022-02-01 19:48:53 +00:00
test_reductions.cpp [TensorExpr] Add some graph-rewrite passes to prepare models for AOT compilation. (#66515) 2022-01-07 01:03:53 -08:00
test_registerizer.cpp
test_simplify.cpp
test_te_fuser_pass.cpp Remove ignore shapes arg (#71144) 2022-01-12 09:09:49 -08:00
test_type.cpp
test_utils.h
tutorial.cpp

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*'