Comments (2)
- Test name:
test_comprehensive_fft_ifft_cuda_float64 (__main__.TestInductorOpInfoCUDA)
- Platforms for which to skip the test: rocm
- Disabled by
pytorch-bot[bot]
Within ~15 minutes, test_comprehensive_fft_ifft_cuda_float64 (__main__.TestInductorOpInfoCUDA)
will be disabled in PyTorch CI for these platforms: rocm. 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.
Resolving the issue because the test is not flaky anymore after 350 reruns without any failures and the issue hasn't been updated in 14 days. Please reopen the issue to re-disable the test if you think this is a false positive
from pytorch.
Related Issues (20)
- Assertion failed: (0 <= mpsAxis && mpsAxis < 4 && "Runtime canonicalization must simplify reduction axes to minor 4 dimensions."), function getKernelAxes, file GPUReductionOps.mm, line 31.
- Dynamo: warning when we incorrectly inline autograd.Function.backward due to subclass gradients
- run dynamo CI shard with aot_eager_decomp_partition backend to see fallout
- torch.view_copy(x, dtype) fails when the destiny dtype has less bytes than the origin
- Setting the 0D tensor of only one element to `fill_value` of `full()` works against error message HOT 2
- Setting the 0D tensor of only one element to `fill_value` of `full()`/`full_like()` works against error message HOT 1
- [Break XPU] The newly added Inductor test case `test_convolution5` fp16 failed on XPU and blocked the CI.
- DISABLED test_trigger_on_error (__main__.ExcTests) HOT 1
- FP8 Emulation HOT 1
- Got this error when just running my flask script HOT 2
- [dynamo] Crash when unspecialized nn.Module with custom getattr throws exception
- LayoutLMForMaskedLM generates NaN in Max-autotune mode with cuda-graph enabled HOT 1
- [TS2EP] Failing on longformer
- Improve the Inductor generated kernel for the pattern of `output1 = pointwise(intput); output2 = transpose(output1)`
- UserWarning triggered by scheduler.step(0) inside the step function in SequentialLR class
- [Functionalization] The inplace decompose op is meaningless
- Model training time increase more than 10x in some case HOT 1
- [inductor][cpu]lcnet_050 AMP multiple/single thread static/dynamic shape default/CPP wrapper performance regression in 2024-06-30 nightly release
- There is an error in the description of torch.Tensor.scatter_() in the document
- Support python attribute mutations of tensor subclass graph inputs from within __torch_dispatch__
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.