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Update README of NAS-Bench-201

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D-X-Y 2020-03-25 14:31:17 -07:00
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docs/NAS-Bench-201.md
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@ -41,8 +41,8 @@ It is recommended to put these data into `$TORCH_HOME` (`~/.torch/` by default).
``` ```
from nas_201_api import NASBench201API as API from nas_201_api import NASBench201API as API
api = API('$path_to_meta_nas_bench_file') api = API('$path_to_meta_nas_bench_file')
api = API('NAS-Bench-201-v1_0-e61699.pth') api = API('NAS-Bench-201-v1_1-096897.pth')
api = API('{:}/{:}'.format(os.environ['TORCH_HOME'], 'NAS-Bench-201-v1_0-e61699.pth')) api = API('{:}/{:}'.format(os.environ['TORCH_HOME'], 'NAS-Bench-201-v1_1-096897.pth'))
``` ```
2. Show the number of architectures `len(api)` and each architecture `api[i]`: 2. Show the number of architectures `len(api)` and each architecture `api[i]`:
@ -141,8 +141,8 @@ print(archRes.get_metrics('cifar10-valid', 'x-valid', None, True)) # print loss
`NASBench201API` is the topest level api. Please see the following usages: `NASBench201API` is the topest level api. Please see the following usages:
``` ```
from nas_201_api import NASBench201API as API from nas_201_api import NASBench201API as API
api = API('NAS-Bench-201-v1_0-e61699.pth') # This will load all the information of NAS-Bench-201 except the trained weights api = API('NAS-Bench-201-v1_1-096897.pth') # This will load all the information of NAS-Bench-201 except the trained weights
api = API('{:}/{:}'.format(os.environ['TORCH_HOME'], 'NAS-Bench-201-v1_0-e61699.pth')) # The same as the above line while I usually save NAS-Bench-201-v1_0-e61699.pth in ~/.torch/. api = API('{:}/{:}'.format(os.environ['TORCH_HOME'], 'NAS-Bench-201-v1_1-096897.pth')) # The same as the above line while I usually save NAS-Bench-201-v1_1-096897.pth in ~/.torch/.
api.show(-1) # show info of all architectures api.show(-1) # show info of all architectures
api.reload('{:}/{:}'.format(os.environ['TORCH_HOME'], 'NAS-BENCH-201-4-v1.0-archive'), 3) # This code will reload the information 3-th architecture with the trained weights api.reload('{:}/{:}'.format(os.environ['TORCH_HOME'], 'NAS-BENCH-201-4-v1.0-archive'), 3) # This code will reload the information 3-th architecture with the trained weights