Comments (5)
Hey, did you train the model on GPU device or CPU device, and what would be the CPU / GPU utilization.
from higashi.
Hey, did you train the model on GPU device or CPU device, and what would be the CPU / GPU utilization.
I used GPU,but it has error:
[ Epoch 38 of 60 ]
- (Training) bce: 0.1953, mse: 0.0000, acc: 98.688 %, pearson: 0.943, spearman: 0.643, elapse: 152.854 s
- (Validation-hyper) bce: 0.1811, acc: 99.596 %,pearson: 0.968, spearman: 0.646,elapse: 0.101 s
no improve 4
[ Epoch 39 of 60 ] - (Training) bce: 0.1946, mse: 0.0000, acc: 98.729 %, pearson: 0.944, spearman: 0.643, elapse: 148.983 s
- (Validation-hyper) bce: 0.1793, acc: 99.619 %,pearson: 0.971, spearman: 0.648,elapse: 0.122 s
no improvement early stopping - (Validation-hyper) bce: 0.1806, acc: 99.606 %, auc: 0.966, aupr: 0.647,elapse: 0.564 s
Traceback (most recent call last):
File "/home/yangfei/Higashi/higashi/main_cell.py", line 1472, in
select_gpus[i])
TypeError: 'NoneType' object is not subscriptable
from higashi.
Could you try to run nvidia-smi -q -d Memory |grep -A4 GPU|grep Free
and nvidia-smi -q -d Memory |grep -A4 GPU
in you command line and see what it returns. Higashi uses a hacky way to figure out how many GPUs you had ,and that can be not compatible for some cuda version.
Also, what did you put in the 'gpu_num' parameter in the config.JSON file, and how many GPU cards do you have on that machine.
from higashi.
Could you try to run
nvidia-smi -q -d Memory |grep -A4 GPU|grep Free
andnvidia-smi -q -d Memory |grep -A4 GPU
in you command line and see what it returns. Higashi uses a hacky way to figure out how many GPUs you had ,and that can be not compatible for some cuda version.Also, what did you put in the 'gpu_num' parameter in the config.JSON file, and how many GPU cards do you have on that machine.
I don't know what's mean of "no improvement early stopping"? Is it mean the trianing is ok so it stop
from higashi.
Could you try to run
nvidia-smi -q -d Memory |grep -A4 GPU|grep Free
andnvidia-smi -q -d Memory |grep -A4 GPU
in you command line and see what it returns. Higashi uses a hacky way to figure out how many GPUs you had ,and that can be not compatible for some cuda version.Also, what did you put in the 'gpu_num' parameter in the config.JSON file, and how many GPU cards do you have on that machine.
I set "gpu_num": 2, but it has same error. So I don't know when it means the end of training and can be visualized
from higashi.
Related Issues (20)
- ValueError: Found array with 1 feature(s) (shape=(250, 1)) while a minimum of 2 is required by TruncatedSVD HOT 16
- Some question about json file
- some question about json file HOT 1
- NameError: name 'neg_num' is not defined HOT 10
- FastHigashi wrapper.prep_dataset: 'int' object has no attribute 'shape' HOT 9
- Some problem about color HOT 5
- question about cell order HOT 5
- Problem solved
- Error running Ramani data HOT 2
- higashi.process_data() won't finish HOT 20
- higashi.Higashi_backend.Modules import error HOT 5
- error when running scTAD.py HOT 1
- Error running simulated data
- Problem running Higashi on Ramani et al. HOT 5
- What are the configure options mean?
- Stop with OSError when run "higashi_model.train_for_imputation_nbr_0()" HOT 3
- Error in fh_model.prep_dataset() "Pack from sparse mtx to tensors" HOT 2
- ERROE when run process.py: no config file HOT 1
- Predicting structures from embedding vector HOT 2
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 higashi.