Comments (4)
- Test name:
test_nonzero_no_warning (__main__.TestAdvancedIndexing)
- Platforms for which to skip the test: mac, macos
- Disabled by
pytorch-bot[bot]
Within ~15 minutes, test_nonzero_no_warning (__main__.TestAdvancedIndexing)
will be disabled in PyTorch CI for these platforms: mac, macos. 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.
- Test name:
test_nonzero_no_warning (__main__.TestAdvancedIndexing)
- Platforms for which to skip the test: mac, macos
- Disabled by
pytorch-bot[bot]
Within ~15 minutes, test_nonzero_no_warning (__main__.TestAdvancedIndexing)
will be disabled in PyTorch CI for these platforms: mac, macos. 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.
- Test name:
test_nonzero_no_warning (__main__.TestAdvancedIndexing)
- Platforms for which to skip the test: mac, macos
- Disabled by
pytorch-bot[bot]
Within ~15 minutes, test_nonzero_no_warning (__main__.TestAdvancedIndexing)
will be disabled in PyTorch CI for these platforms: mac, macos. 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.
- Test name:
test_nonzero_no_warning (__main__.TestAdvancedIndexing)
- Platforms for which to skip the test: mac, macos
- Disabled by
pytorch-bot[bot]
Within ~15 minutes, test_nonzero_no_warning (__main__.TestAdvancedIndexing)
will be disabled in PyTorch CI for these platforms: mac, macos. 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.
Related Issues (20)
- [BE] wrap deprecated function/class with `typing_extensions.deprecated` for better IDE integration HOT 1
- Long queue times due to changes in scale up infra HOT 2
- HUD is down due to hitting rate limit HOT 9
- function signature for multiprocessing.spawn is multiprocessing.spawn.spawn
- Alternative access order for the same buffer can bring big perf win HOT 1
- Requesting dynamo support for fraction.Fraction
- Tensor computation error on MPS backend HOT 3
- [ONNX] view(dtype=dtype) is not supported by both onnx.export and onnx.dynamo_export HOT 3
- [compiled autograd][cudagraphs] accessing TLS cudagraph manager results in corrupted memory
- [FSDP] show better warning msg when wrapping nn.ModuleList or nn.ModuleDict HOT 1
- [compiled autograd][aot autograd] accumulate grad (on param with non empty grad) mutates inputs and prevents cudagraph HOT 2
- Linker Errors on ARM System While Building PyTorch from Source with clang on Main Branch HOT 8
- [async H2D] memory ordering issue for async H2D with pin memory on CUDA device HOT 3
- `dsplit()` with `indices_or_sections=` doesn't work while `dsplit()` without `indices_or_sections=` works
- [DSD] keep 'initial_lr' in `torch.distributed.checkpoint.state_dict.set_optimizer_state_dict`
- `tensor_split()` with `indices_or_sections=` doesn't work while `tensor_split()` without `indices_or_sections=` works
- [DSD] keep 'exp_avg' as DTensor after `torch.distributed.checkpoint.state_dict.set_optimizer_state_dict`
- Add integrity check in torch.save HOT 1
- DISABLED test_memory_snapshot (__main__.TestCudaMallocAsync) HOT 1
- DISABLED test_memory_format_type_cuda (__main__.TestTorchDeviceTypeCUDA) HOT 1
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.