Stuck on an issue?
Lightrun Answers was designed to reduce the constant googling that comes with debugging 3rd party libraries. It collects links to all the places you might be looking at while hunting down a tough bug.
And, if you’re still stuck at the end, we’re happy to hop on a call to see how we can help out.
mnist.py sample fails with debug layer enabled
See original GitHub issueThe error log is
D3D12 ERROR: ID3D12GraphicsCommandList::ExecuteMetaCommand: Supplied parameters size [40] doesn't match enumerated size[32]. [ EXECUTION ERROR #1174: META_COMMAND_PARAMETER_SIZE_MISMATCH]
I enabled the DirectML debugging layer.
I ran this sample on a machine with Windows 10 20H2 build 19042.685 and Intel HD630 GPU with driver version 27.20.100.9030 (11/27/2020).
BTW, I can workaround it by supplying ExecutionFlags.DISABLE_META_COMMANDS.
Issue Analytics
- State:
- Created 3 years ago
- Comments:5 (5 by maintainers)
Top Results From Across the Web
error running mnist deepexplainer #1129 - slundberg/shap
I am having trouble running the mnist example that you have given for ... problem when using a custom tf.keras model (with Conv1D...
Read more >Debugging Numerical Issues in TensorFlow Programs Using ...
This TF2 program creates a multi-layer perception (MLP) and trains it to recognize MNIST images. This example purposefully uses the low-level ...
Read more >Debugging Tensorflow - Marc Päpper
MNIST example digits. Let's first load the data: import tensorflow as tf from tensorflow.contrib.learn.python.learn.datasets.mnist import ...
Read more >How to Debug Models - Determined AI Documentation
How to Debug Models¶ ; Model-related Issues. Step 1 - Verify that your code runs locally. Step 2 - Verify that each Trial...
Read more >TensorFlow Debugger Command-Line-Interface Tutorial: MNIST
To observe such an issue, run the following code without the debugger: python -m tensorflow.python.debug.examples.debug_mnist.
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
@huningxin After more investigation, this is a bug in directml. We’re working on the fix and will update this thread when the fix is available.
Great to know. Thanks. I am happy to close this issue.