Get Compression Information

get_compression(self, compression_id: str) → ResponseCompression

Details of Returns

Example

from netspresso import NetsPresso


netspresso = NetsPresso(email="YOUR_EMAIL", password="YOUR_PASSWORD")

compressor = netspresso.compressor_v2()
compressed_info = compressor.get_compression(compression_id="YOUR_COMPRESSION_ID")

Output

>>> compressed_info
CompressionInfo(
    compressed_model_id="c65ca574-08ab-4a42-9e82-a222bd089b2c",
    compression_id="YOUR_COMPRESSION_ID",
    compression_method="PR_L2",
    available_layers=[
        AvailableLayer(name='conv1', values=[0.59375], channels=[32]),
        AvailableLayer(name='layers.0.conv2', values=[0.25], channels=[64]),
        AvailableLayer(name='layers.1.conv2', values=[0.25], channels=[128]),
        AvailableLayer(name='layers.2.conv2', values=[0.34375], channels=[128]),
        AvailableLayer(name='layers.3.conv2', values=[0.33203125], channels=[256]),
        AvailableLayer(name='layers.4.conv2', values=[0.55859375], channels=[256]),
        AvailableLayer(name='layers.5.conv2', values=[0.56640625], channels=[512]),
        AvailableLayer(name='layers.6.conv2', values=[0.697265625], channels=[512]),
        AvailableLayer(name='layers.7.conv2', values=[0.70703125], channels=[512]),
        AvailableLayer(name='layers.8.conv2', values=[0.580078125], channels=[512]),
        vailableLayer(name='layers.9.conv2', values=[0.51953125], channels=[512]),
        AvailableLayer(name='layers.10.conv2', values=[0.517578125], channels=[512]),
        AvailableLayer(name='layers.11.conv2', values=[0.7734375], channels=[1024]),
        AvailableLayer(name='layers.12.conv2', values=[0.0234375], channels=[1024])
    ],
    options={'reshape_channel_axis': -1, 'policy': 'average', 'layer_norm': 'tss_norm', 'group_policy': 'average'}
    original_model_id=""
)