New update in PyTorch break forces
See original GitHub issue@farhadrgh @IgnacioJPickering
Just tested python tests/test_forces.py
with a newest freshly compiled PyTorch, get the following error:
FFF.F
======================================================================
FAIL: testBenzeneMD (__main__.TestForce)
----------------------------------------------------------------------
Traceback (most recent call last):
File "tests/test_forces.py", line 89, in testBenzeneMD
self.assertLess(max_diff, tolerance)
AssertionError: 30.85953140258789 not less than 1e-05
======================================================================
FAIL: testIsomers (__main__.TestForce)
----------------------------------------------------------------------
Traceback (most recent call last):
File "tests/test_forces.py", line 42, in testIsomers
self.assertLess(max_diff, self.tolerance)
AssertionError: 0.5897072553634644 not less than 1e-05
======================================================================
FAIL: testNIST (__main__.TestForce)
----------------------------------------------------------------------
Traceback (most recent call last):
File "tests/test_forces.py", line 125, in testNIST
self.assertLess(max_diff, self.tolerance)
AssertionError: 4.202903747558594 not less than 1e-05
======================================================================
FAIL: testTripeptideMD (__main__.TestForce)
----------------------------------------------------------------------
Traceback (most recent call last):
File "tests/test_forces.py", line 108, in testTripeptideMD
self.assertLess(max_diff, tolerance)
AssertionError: 22.5817928314209 not less than 2e-06
----------------------------------------------------------------------
Ran 5 tests in 64.475s
FAILED (failures=4)
Issue Analytics
- State:
- Created 4 years ago
- Comments:5 (5 by maintainers)
Top Results From Across the Web
PyTorch 2.0
Introducing PyTorch 2.0, our first steps toward the next generation 2-series release of PyTorch. ... Let us break down the compiler into three...
Read more >Releases · pytorch/pytorch - GitHub
PyTorch 1.10 updates are focused on improving training and performance of PyTorch, and developer usability. Highlights include: CUDA Graphs APIs are integrated ...
Read more >Understanding PyTorch with an example: a step-by-step tutorial
Next, let's split our synthetic data into train and validation sets, ... In the final step, we use the gradients to update the...
Read more >Debugging and Visualisation in PyTorch using Hooks
We go over PyTorch hooks and using them to debug our backpass, visualise activations and modify ... First, because they force us to...
Read more >PyTorch 1.9.0 Now Available - Exxact Corporation
PyTorch just released version 1.9 with support scientific computing, support for large scale distributed training with GPU support, ...
Read more >
Top Related Medium Post
No results found
Top Related StackOverflow Question
No results found
Troubleshoot Live Code
Lightrun enables developers to add logs, metrics and snapshots to live code - no restarts or redeploys required.
Start Free
Top Related Reddit Thread
No results found
Top Related Hackernoon Post
No results found
Top Related Tweet
No results found
Top Related Dev.to Post
No results found
Top Related Hashnode Post
No results found
torch_nightly==1.2.0.dev20190801
works welltorch_nightly==1.2.0.dev20190802
is brokenTests in
test_aevs
andtest_energies
are also failing.