Comments (6)
- Test name:
test_module_order (__main__.OptimizedModuleTest)
- Platforms for which to skip the test: asan, linux, mac, macos, rocm, slow
- Disabled by
pytorch-bot[bot]
Within ~15 minutes, test_module_order (__main__.OptimizedModuleTest)
will be disabled in PyTorch CI for these platforms: asan, linux, mac, macos, rocm, slow. Please verify that your test name looks correct, e.g., test_cuda_assert_async (__main__.TestCuda)
.
To modify the platforms list, please include a line in the issue body, like below. The default action will disable the test for all platforms if no platforms list is specified.
Platforms: case-insensitive, list, of, platforms
We currently support the following platforms: asan, dynamo, inductor, linux, mac, macos, rocm, slow, win, windows.
from pytorch.
Another case of trunk flakiness has been found here. The list of platforms [asan, linux, mac, macos, rocm, slow] appears to contain all the recently affected platforms [asan, linux, mac, macos, rocm]. Either the change didn't propogate fast enough or disable bot might be broken.
from pytorch.
Reproducer: pytest test/dynamo/test_modules.py::OptimizedModuleTest::test_dunder_call_explicitly test/dynamo/test_modules.py::OptimizedModuleTest::test_module_order
from pytorch.
@anijain2305 you touched this test recently, PTAL
from pytorch.
I need to look deeper but for some reason, the @torch._dynamo.config.patch(guard_nn_modules=True)
decorator is not taking effect when the two tests are run in sequence.
from pytorch.
Should be fixed by #125855.
Removing high prio. The flakiness-detector will close this issue on its own.
from pytorch.
Related Issues (20)
- nondeterminism in torch.compile + custom op HOT 15
- Tensor subclass constructor via autograd function is error prone re mutation
- Problems with starting chatTTS 'native webui HOT 1
- Rule-based reconfig-and-recompile HOT 2
- Tied Weight Embeddings Models Fail to Load on Torch 2.4 Nightly HOT 1
- compile PixArt-sigma error
- SIGSEGV with torch.compile and nestedtensor HOT 2
- Best approach for dynamically changing batch sizes on iterable datasets HOT 1
- RuntimeError: r INTERNAL ASSERT FAILED at "../aten/src/ATen/core/jit_type_base.h":544 when using torch.jit.trace and torch._C._jit_interpret_graph
- Make `torch.autograd.Function` support `vmap` HOT 13
- xpu: set of unimplemented ops affecting perf on inference (efficientnet, fbnet, yolov5, ifrnet, rife) HOT 3
- When testing the scalar version, test_neg_index will fail
- Network module memory is not released in libtorch
- torch.compile fails to preserve gradients when an input requiring grad is mutated HOT 1
- `torch.compile` fails with customized Triton Operator on Triton 2.2 HOT 8
- Request for in-place FFT
- Future LRScheduler implementation with Tensor support HOT 3
- Handling reasoning about rationals in symbolic shapes HOT 24
- [Dynamo] torch.cuda.device context manager doesn't work
- torch.compile warning message for pybind'ed c++ functions is very spammy HOT 2
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from pytorch.