Comments (4)
Hi @Mars-204 , thanks for your interests.
For the tss
space, it is the same index. For the sss
(size search space), NAS-Bench-201 does not have the size search space. For the examples, you should compare api = create(d, 'tss', fast_mode=False, verbose=True)
with NAS-Bench-201.
from nats-bench.
Hi @D-X-Y , thanks for the reply. It works for tss as you mentioned.
But when I am trying to obtain the pre-trained weights for this index I am getting a an empty dic in return. Currently I am using the benchmark compressed pickle for tss for the same. Should I be using any other files for the pre-trained weights?
d = pickle_load('/work/ws-tmp/g059997-naslib/g059997-naslib-1667607005/NASLib_mod/naslib/NATS-bench/Copy of NATS-tss-v1_0-3ffb9.pickle.pbz2')
api = create(d, 'tss', fast_mode=False, verbose=True)
index = api.query_index_by_arch(convert_naslib_to_str(best_arch))
config = api.get_net_config(index, 'cifar10')
best_arch = get_cell_based_tiny_net(config)
params = api.get_net_param(index, 'cifar10', None)
best_arch.load_state_dict(next(iter(params.values())))
from nats-bench.
The network parameters are contained in full archive files (please follow the instructions at https://github.com/D-X-Y/NATS-Bench#preparation-and-download). Note that those files are pretty large.
from nats-bench.
Thanks for the response. It is working.
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
- 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.
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