Comments (2)
@ManfeiBai can you take a look?
from xla.
Hi, @huzama, thanks for pointing this
yes, I have reproduced the same error with your instruction locally too:
self.quantity = torch.tensor(0, device=self.device)
failedself.quantity = torch.tensor([0], device=self.device)
passed- and noticed
self.quantity = torch.tensor(5, device=self.device)
passed
tried again with more try:
self.quantity = torch.tensor(0, device=self.device)
failed: https://gist.github.com/ManfeiBai/ea9cf0f0db409f4bcdd45f6af65c638dself.quantity = torch.tensor(1, device=self.device)
failed: https://gist.github.com/ManfeiBai/cf084d713bc4871d8e5f95fe7913e364self.quantity = torch.tensor(2, device=self.device)
passed: https://gist.github.com/ManfeiBai/09933c57f3afbbfcc0fdccf95b84ac8bself.quantity = torch.tensor(3, device=self.device)
passed: https://gist.github.com/ManfeiBai/3b13d4ea1068e2b497e60ccb80b66a1bself.quantity = torch.tensor(5, device=self.device)
passed: https://gist.github.com/ManfeiBai/dd711bf78acfc412b3ac4e10283076d1
based on above link's log's xlacomputation for body and cond, we notice that xlacomputation generation would missed/ignore tensor(0)
and tensor(1)
, and try to create a new constant locally to use
for how to print xlacomputation(), not sure if anyone need this, but post it here and will add in while_loop document later:
adding these code after line1 and line2:
# after line1
body_hlo_print = xb.get_computation_hlo(body_computation)
print("body computation: !!!!!!!!!")
print(body_hlo_print)
# after line2
cond_hlo_print = xb.get_computation_hlo(cond_computation)
print("cond computation: !!!!!!!!!")
print(cond_hlo_print)
from xla.
Related Issues (20)
- [API Usability] Deprecate `get_local_ordinal`
- [API Usability] Deprecate xla_real_devices
- [API Usability] Deprecate `xla_device_hw`
- [API Usability] Delete `unlazy`
- [API Usability] Internalize `RateTracker`
- [API Usability] Internalize `ToXlaTensorArena`
- [API Usability] Delete `check_view_sharing`
- [API Usability] Internalize `reduce_gradients`
- Equivalent of get_worker_info to split an IterableDataset HOT 18
- Is there any way to directly execute the cached computational graph HOT 5
- Op info test for `T .. arange` HOT 1
- CUDA and GPU-Flavoured Docker/Container Image Missing CUDA Support HOT 1
- Graph dump to optimize HOT 9
- Invalid version identifier in filenames of nightly builds HOT 6
- How to test on a subset of TPUs in a TPU Pod HOT 7
- Failed to import torch_xla by following the GPU instructions on an H100 node (A3-High) HOT 1
- Iteration of MpDeviceLoader doesn't work HOT 1
- Improve device auto-detection HOT 2
- libtpu not installed with nightly build HOT 4
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 xla.