File: README.md

package info (click to toggle)
pytorch 1.13.1%2Bdfsg-4
  • links: PTS, VCS
  • area: main
  • in suites: bookworm
  • size: 139,252 kB
  • sloc: cpp: 1,100,274; python: 706,454; ansic: 83,052; asm: 7,618; java: 3,273; sh: 2,841; javascript: 612; makefile: 323; xml: 269; ruby: 185; yacc: 144; objc: 68; lex: 44
file content (35 lines) | stat: -rw-r--r-- 1,025 bytes parent folder | download | duplicates (4)
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
# C++ Frontend Tests

In this folder live the tests for PyTorch's C++ Frontend. They use the
[GoogleTest](https://github.com/google/googletest) test framework.

## CUDA Tests

To make a test runnable only on platforms with CUDA, you should suffix your
test with `_CUDA`, e.g.

```cpp
TEST(MyTestSuite, MyTestCase_CUDA) { }
```

To make it runnable only on platforms with at least two CUDA machines, suffix
it with `_MultiCUDA` instead of `_CUDA`, e.g.

```cpp
TEST(MyTestSuite, MyTestCase_MultiCUDA) { }
```

There is logic in `main.cpp` that detects the availability and number of CUDA
devices and supplies the appropriate negative filters to GoogleTest.

## Integration Tests

Integration tests use the MNIST dataset. You must download it by running the
following command from the PyTorch root folder:

```sh
$ python tools/download_mnist.py -d test/cpp/api/mnist
```

The required paths will be referenced as `test/cpp/api/mnist/...` in the test
code, so you *must* run the integration tests from the PyTorch root folder.