Comments (4)
@debadeepta Thanks for the question.
I created a small example at https://github.com/D-X-Y/NATS-Bench/blob/main/nats_bench/api_test.py#L63
But I did find info['train-accuracy'] is 84.038? Would you mind adding the full codes to reproduce this problem?
from nats-bench.
You can check the args of get_more_info function here: https://github.com/D-X-Y/NATS-Bench/blob/main/nats_bench/api_utils.py#L218
We have a parameter: is_random (default value is True). This parameter controls whether to return a randomly selected single run or use the average.
If you want to use the average, you can use api.get_more_info(284, 'cifar10', hp=200, is_random=False)
.
from nats-bench.
Actually I made a mistake and I was wrong. The below code blurb prints out the same values as expected.
data = api.query_by_index(284, dataname='cifar10', hp='200')
data[777].train_acc1es[199]
94.568
info = api.get_more_info(284, 'cifar10', hp=200)
info['train-accuracy']
94.568
But now I have a new doubt:
The three different runs of architecture 284 for 200 epochs have the following accuracies:
data[777].train_acc1es[199]
94.568
data[888].train_acc1es[199]
94.772
data[999].train_acc1es[199]
94.728
Shouldn't the value in api.get_more_info be the average of these three runs instead of the result of 777 seed?
from nats-bench.
Ahh nice. Thanks a lot again!
from nats-bench.
Related Issues (20)
- api.simulate_train_eval throws error when passing in cifar100 dataset with fixed epoch HOT 3
- How to generate a computational graph from an architecture from the size search space? HOT 4
- The reasults of test accuracy HOT 2
- get_cost_info(hp="200") returns weird value for some models in topology search space HOT 4
- Problem recreating api in fastmode HOT 2
- The results of validation/test accuracy in NATS-Bench paper HOT 4
- best accuracy find HOT 3
- The code for ImageNet16 is 404 error HOT 4
- How to generate a architecute model with torch HOT 4
- Question regarding the design space for the topology search space in NATS-Bench HOT 1
- api_utils.py invoking get_latency method without passing "hp" parameter HOT 3
- No testset in ImageNet16 HOT 1
- Details about the data structures more_info and cost_info HOT 2
- Question about ImageNet16120 HOT 1
- Is NATS Extension of NAS_201 bench HOT 4
- get_net_param returns empty dictionary HOT 1
- Regarding the checkpoints HOT 3
- What is the seed of subnet training on cifar10, 111 or 777? HOT 3
- Further training of the network obtained from NATS bench
- Regarding inference with pretrained weights.
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 nats-bench.