config
Default configurations for NAS modes.
- ModeloptConfig AutoNASConfig
Bases:
ModeloptBaseRuleConfig
Configuration for the
"autonas"
mode.Show default config as JSON
- Default config (JSON):
{ "nn.Conv1d": { "*": { "channel_divisor": 32, "channels_ratio": [ 0.5, 0.67, 1.0 ], "kernel_size": [] } }, "nn.Conv2d": { "*": { "channel_divisor": 32, "channels_ratio": [ 0.5, 0.67, 1.0 ], "kernel_size": [] } }, "nn.Conv3d": { "*": { "channel_divisor": 32, "channels_ratio": [ 0.5, 0.67, 1.0 ], "kernel_size": [] } }, "nn.ConvTranspose1d": { "*": { "channel_divisor": 32, "channels_ratio": [ 0.5, 0.67, 1.0 ], "kernel_size": [] } }, "nn.ConvTranspose2d": { "*": { "channel_divisor": 32, "channels_ratio": [ 0.5, 0.67, 1.0 ], "kernel_size": [] } }, "nn.ConvTranspose3d": { "*": { "channel_divisor": 32, "channels_ratio": [ 0.5, 0.67, 1.0 ], "kernel_size": [] } }, "nn.Linear": { "*": { "feature_divisor": 32, "features_ratio": [ 0.5, 0.67, 1.0 ] } }, "nn.BatchNorm1d": { "*": { "feature_divisor": 32, "features_ratio": [ 0.5, 0.67, 1.0 ] } }, "nn.BatchNorm2d": { "*": { "feature_divisor": 32, "features_ratio": [ 0.5, 0.67, 1.0 ] } }, "nn.BatchNorm3d": { "*": { "feature_divisor": 32, "features_ratio": [ 0.5, 0.67, 1.0 ] } }, "nn.SyncBatchNorm": { "*": { "feature_divisor": 32, "features_ratio": [ 0.5, 0.67, 1.0 ] } }, "nn.InstanceNorm1d": { "*": { "feature_divisor": 32, "features_ratio": [ 0.5, 0.67, 1.0 ] } }, "nn.InstanceNorm2d": { "*": { "feature_divisor": 32, "features_ratio": [ 0.5, 0.67, 1.0 ] } }, "nn.InstanceNorm3d": { "*": { "feature_divisor": 32, "features_ratio": [ 0.5, 0.67, 1.0 ] } }, "nn.LayerNorm": { "*": { "feature_divisor": 32, "features_ratio": [ 0.5, 0.67, 1.0 ] } }, "nn.GroupNorm": { "*": { "channel_divisor": 32, "channels_ratio": [ 0.5, 0.67, 1.0 ] } }, "nn.Sequential": { "*": { "min_depth": 0 } } }
- field nn.BatchNorm1d: DynamicBatchNorm1dConfig | None | Dict[str, DynamicBatchNorm1dConfig | None]
Show details
Configuration for dynamic nn.BatchNorm1d module.
If the
"nn.BatchNorm1d"
key is not specified, the default configuration (shown in JSON) will be used:{ "*": { "features_ratio": [ 0.5, 0.67, 1.0 ], "feature_divisor": 32 } }
To deactivate any dynamic nn.BatchNorm1d module, use
None
instead of providing a dictionary{}
.To specify layer-specific configurations, you can specify a config for each submodule with the key specifying a glob pattern that matches the submodule name. For example, to convert to a dynamic module for all
nn.BatchNorm1d
layers except for those in the"lm_head"
submodule use:{ "*": {...}, "*lm_head*": None, }
Note that glob expressions are processed sequentially in the order they are specified. Later keys in the config will overwrite earlier keys if they match the same submodule name.
If you want to specify the same configuration for all submodules, you can provide an unnested dictionary as well:
{...}
which is short for
{ "*": {...}, }
- field nn.BatchNorm2d: DynamicBatchNorm2dConfig | None | Dict[str, DynamicBatchNorm2dConfig | None]
Show details
Configuration for dynamic nn.BatchNorm2d module.
If the
"nn.BatchNorm2d"
key is not specified, the default configuration (shown in JSON) will be used:{ "*": { "features_ratio": [ 0.5, 0.67, 1.0 ], "feature_divisor": 32 } }
To deactivate any dynamic nn.BatchNorm2d module, use
None
instead of providing a dictionary{}
.To specify layer-specific configurations, you can specify a config for each submodule with the key specifying a glob pattern that matches the submodule name. For example, to convert to a dynamic module for all
nn.BatchNorm2d
layers except for those in the"lm_head"
submodule use:{ "*": {...}, "*lm_head*": None, }
Note that glob expressions are processed sequentially in the order they are specified. Later keys in the config will overwrite earlier keys if they match the same submodule name.
If you want to specify the same configuration for all submodules, you can provide an unnested dictionary as well:
{...}
which is short for
{ "*": {...}, }
- field nn.BatchNorm3d: DynamicBatchNorm3dConfig | None | Dict[str, DynamicBatchNorm3dConfig | None]
Show details
Configuration for dynamic nn.BatchNorm3d module.
If the
"nn.BatchNorm3d"
key is not specified, the default configuration (shown in JSON) will be used:{ "*": { "features_ratio": [ 0.5, 0.67, 1.0 ], "feature_divisor": 32 } }
To deactivate any dynamic nn.BatchNorm3d module, use
None
instead of providing a dictionary{}
.To specify layer-specific configurations, you can specify a config for each submodule with the key specifying a glob pattern that matches the submodule name. For example, to convert to a dynamic module for all
nn.BatchNorm3d
layers except for those in the"lm_head"
submodule use:{ "*": {...}, "*lm_head*": None, }
Note that glob expressions are processed sequentially in the order they are specified. Later keys in the config will overwrite earlier keys if they match the same submodule name.
If you want to specify the same configuration for all submodules, you can provide an unnested dictionary as well:
{...}
which is short for
{ "*": {...}, }
- field nn.Conv1d: DynamicConv1dConfig | None | Dict[str, DynamicConv1dConfig | None]
Show details
Configuration for dynamic nn.Conv1d module.
If the
"nn.Conv1d"
key is not specified, the default configuration (shown in JSON) will be used:{ "*": { "channels_ratio": [ 0.5, 0.67, 1.0 ], "kernel_size": [], "channel_divisor": 32 } }
To deactivate any dynamic nn.Conv1d module, use
None
instead of providing a dictionary{}
.To specify layer-specific configurations, you can specify a config for each submodule with the key specifying a glob pattern that matches the submodule name. For example, to convert to a dynamic module for all
nn.Conv1d
layers except for those in the"lm_head"
submodule use:{ "*": {...}, "*lm_head*": None, }
Note that glob expressions are processed sequentially in the order they are specified. Later keys in the config will overwrite earlier keys if they match the same submodule name.
If you want to specify the same configuration for all submodules, you can provide an unnested dictionary as well:
{...}
which is short for
{ "*": {...}, }
- field nn.Conv2d: DynamicConv2dConfig | None | Dict[str, DynamicConv2dConfig | None]
Show details
Configuration for dynamic nn.Conv2d module.
If the
"nn.Conv2d"
key is not specified, the default configuration (shown in JSON) will be used:{ "*": { "channels_ratio": [ 0.5, 0.67, 1.0 ], "kernel_size": [], "channel_divisor": 32 } }
To deactivate any dynamic nn.Conv2d module, use
None
instead of providing a dictionary{}
.To specify layer-specific configurations, you can specify a config for each submodule with the key specifying a glob pattern that matches the submodule name. For example, to convert to a dynamic module for all
nn.Conv2d
layers except for those in the"lm_head"
submodule use:{ "*": {...}, "*lm_head*": None, }
Note that glob expressions are processed sequentially in the order they are specified. Later keys in the config will overwrite earlier keys if they match the same submodule name.
If you want to specify the same configuration for all submodules, you can provide an unnested dictionary as well:
{...}
which is short for
{ "*": {...}, }
- field nn.Conv3d: DynamicConv3dConfig | None | Dict[str, DynamicConv3dConfig | None]
Show details
Configuration for dynamic nn.Conv3d module.
If the
"nn.Conv3d"
key is not specified, the default configuration (shown in JSON) will be used:{ "*": { "channels_ratio": [ 0.5, 0.67, 1.0 ], "kernel_size": [], "channel_divisor": 32 } }
To deactivate any dynamic nn.Conv3d module, use
None
instead of providing a dictionary{}
.To specify layer-specific configurations, you can specify a config for each submodule with the key specifying a glob pattern that matches the submodule name. For example, to convert to a dynamic module for all
nn.Conv3d
layers except for those in the"lm_head"
submodule use:{ "*": {...}, "*lm_head*": None, }
Note that glob expressions are processed sequentially in the order they are specified. Later keys in the config will overwrite earlier keys if they match the same submodule name.
If you want to specify the same configuration for all submodules, you can provide an unnested dictionary as well:
{...}
which is short for
{ "*": {...}, }
- field nn.ConvTranspose1d: DynamicConvTranspose1dConfig | None | Dict[str, DynamicConvTranspose1dConfig | None]
Show details
Configuration for dynamic nn.ConvTranspose1d module.
If the
"nn.ConvTranspose1d"
key is not specified, the default configuration (shown in JSON) will be used:{ "*": { "channels_ratio": [ 0.5, 0.67, 1.0 ], "kernel_size": [], "channel_divisor": 32 } }
To deactivate any dynamic nn.ConvTranspose1d module, use
None
instead of providing a dictionary{}
.To specify layer-specific configurations, you can specify a config for each submodule with the key specifying a glob pattern that matches the submodule name. For example, to convert to a dynamic module for all
nn.ConvTranspose1d
layers except for those in the"lm_head"
submodule use:{ "*": {...}, "*lm_head*": None, }
Note that glob expressions are processed sequentially in the order they are specified. Later keys in the config will overwrite earlier keys if they match the same submodule name.
If you want to specify the same configuration for all submodules, you can provide an unnested dictionary as well:
{...}
which is short for
{ "*": {...}, }
- field nn.ConvTranspose2d: DynamicConvTranspose2dConfig | None | Dict[str, DynamicConvTranspose2dConfig | None]
Show details
Configuration for dynamic nn.ConvTranspose2d module.
If the
"nn.ConvTranspose2d"
key is not specified, the default configuration (shown in JSON) will be used:{ "*": { "channels_ratio": [ 0.5, 0.67, 1.0 ], "kernel_size": [], "channel_divisor": 32 } }
To deactivate any dynamic nn.ConvTranspose2d module, use
None
instead of providing a dictionary{}
.To specify layer-specific configurations, you can specify a config for each submodule with the key specifying a glob pattern that matches the submodule name. For example, to convert to a dynamic module for all
nn.ConvTranspose2d
layers except for those in the"lm_head"
submodule use:{ "*": {...}, "*lm_head*": None, }
Note that glob expressions are processed sequentially in the order they are specified. Later keys in the config will overwrite earlier keys if they match the same submodule name.
If you want to specify the same configuration for all submodules, you can provide an unnested dictionary as well:
{...}
which is short for
{ "*": {...}, }
- field nn.ConvTranspose3d: DynamicConvTranspose3dConfig | None | Dict[str, DynamicConvTranspose3dConfig | None]
Show details
Configuration for dynamic nn.ConvTranspose3d module.
If the
"nn.ConvTranspose3d"
key is not specified, the default configuration (shown in JSON) will be used:{ "*": { "channels_ratio": [ 0.5, 0.67, 1.0 ], "kernel_size": [], "channel_divisor": 32 } }
To deactivate any dynamic nn.ConvTranspose3d module, use
None
instead of providing a dictionary{}
.To specify layer-specific configurations, you can specify a config for each submodule with the key specifying a glob pattern that matches the submodule name. For example, to convert to a dynamic module for all
nn.ConvTranspose3d
layers except for those in the"lm_head"
submodule use:{ "*": {...}, "*lm_head*": None, }
Note that glob expressions are processed sequentially in the order they are specified. Later keys in the config will overwrite earlier keys if they match the same submodule name.
If you want to specify the same configuration for all submodules, you can provide an unnested dictionary as well:
{...}
which is short for
{ "*": {...}, }
- field nn.GroupNorm: DynamicGroupNormConfig | None | Dict[str, DynamicGroupNormConfig | None]
Show details
Configuration for dynamic nn.GroupNorm module.
If the
"nn.GroupNorm"
key is not specified, the default configuration (shown in JSON) will be used:{ "*": { "channels_ratio": [ 0.5, 0.67, 1.0 ], "channel_divisor": 32 } }
To deactivate any dynamic nn.GroupNorm module, use
None
instead of providing a dictionary{}
.To specify layer-specific configurations, you can specify a config for each submodule with the key specifying a glob pattern that matches the submodule name. For example, to convert to a dynamic module for all
nn.GroupNorm
layers except for those in the"lm_head"
submodule use:{ "*": {...}, "*lm_head*": None, }
Note that glob expressions are processed sequentially in the order they are specified. Later keys in the config will overwrite earlier keys if they match the same submodule name.
If you want to specify the same configuration for all submodules, you can provide an unnested dictionary as well:
{...}
which is short for
{ "*": {...}, }
- field nn.InstanceNorm1d: DynamicInstanceNorm1dConfig | None | Dict[str, DynamicInstanceNorm1dConfig | None]
Show details
Configuration for dynamic nn.InstanceNorm1d module.
If the
"nn.InstanceNorm1d"
key is not specified, the default configuration (shown in JSON) will be used:{ "*": { "features_ratio": [ 0.5, 0.67, 1.0 ], "feature_divisor": 32 } }
To deactivate any dynamic nn.InstanceNorm1d module, use
None
instead of providing a dictionary{}
.To specify layer-specific configurations, you can specify a config for each submodule with the key specifying a glob pattern that matches the submodule name. For example, to convert to a dynamic module for all
nn.InstanceNorm1d
layers except for those in the"lm_head"
submodule use:{ "*": {...}, "*lm_head*": None, }
Note that glob expressions are processed sequentially in the order they are specified. Later keys in the config will overwrite earlier keys if they match the same submodule name.
If you want to specify the same configuration for all submodules, you can provide an unnested dictionary as well:
{...}
which is short for
{ "*": {...}, }
- field nn.InstanceNorm2d: DynamicInstanceNorm2dConfig | None | Dict[str, DynamicInstanceNorm2dConfig | None]
Show details
Configuration for dynamic nn.InstanceNorm2d module.
If the
"nn.InstanceNorm2d"
key is not specified, the default configuration (shown in JSON) will be used:{ "*": { "features_ratio": [ 0.5, 0.67, 1.0 ], "feature_divisor": 32 } }
To deactivate any dynamic nn.InstanceNorm2d module, use
None
instead of providing a dictionary{}
.To specify layer-specific configurations, you can specify a config for each submodule with the key specifying a glob pattern that matches the submodule name. For example, to convert to a dynamic module for all
nn.InstanceNorm2d
layers except for those in the"lm_head"
submodule use:{ "*": {...}, "*lm_head*": None, }
Note that glob expressions are processed sequentially in the order they are specified. Later keys in the config will overwrite earlier keys if they match the same submodule name.
If you want to specify the same configuration for all submodules, you can provide an unnested dictionary as well:
{...}
which is short for
{ "*": {...}, }
- field nn.InstanceNorm3d: DynamicInstanceNorm3dConfig | None | Dict[str, DynamicInstanceNorm3dConfig | None]
Show details
Configuration for dynamic nn.InstanceNorm3d module.
If the
"nn.InstanceNorm3d"
key is not specified, the default configuration (shown in JSON) will be used:{ "*": { "features_ratio": [ 0.5, 0.67, 1.0 ], "feature_divisor": 32 } }
To deactivate any dynamic nn.InstanceNorm3d module, use
None
instead of providing a dictionary{}
.To specify layer-specific configurations, you can specify a config for each submodule with the key specifying a glob pattern that matches the submodule name. For example, to convert to a dynamic module for all
nn.InstanceNorm3d
layers except for those in the"lm_head"
submodule use:{ "*": {...}, "*lm_head*": None, }
Note that glob expressions are processed sequentially in the order they are specified. Later keys in the config will overwrite earlier keys if they match the same submodule name.
If you want to specify the same configuration for all submodules, you can provide an unnested dictionary as well:
{...}
which is short for
{ "*": {...}, }
- field nn.LayerNorm: DynamicLayerNormConfig | None | Dict[str, DynamicLayerNormConfig | None]
Show details
Configuration for dynamic nn.LayerNorm module.
If the
"nn.LayerNorm"
key is not specified, the default configuration (shown in JSON) will be used:{ "*": { "features_ratio": [ 0.5, 0.67, 1.0 ], "feature_divisor": 32 } }
To deactivate any dynamic nn.LayerNorm module, use
None
instead of providing a dictionary{}
.To specify layer-specific configurations, you can specify a config for each submodule with the key specifying a glob pattern that matches the submodule name. For example, to convert to a dynamic module for all
nn.LayerNorm
layers except for those in the"lm_head"
submodule use:{ "*": {...}, "*lm_head*": None, }
Note that glob expressions are processed sequentially in the order they are specified. Later keys in the config will overwrite earlier keys if they match the same submodule name.
If you want to specify the same configuration for all submodules, you can provide an unnested dictionary as well:
{...}
which is short for
{ "*": {...}, }
- field nn.Linear: DynamicLinearConfig | None | Dict[str, DynamicLinearConfig | None]
Show details
Configuration for dynamic nn.Linear module.
If the
"nn.Linear"
key is not specified, the default configuration (shown in JSON) will be used:{ "*": { "features_ratio": [ 0.5, 0.67, 1.0 ], "feature_divisor": 32 } }
To deactivate any dynamic nn.Linear module, use
None
instead of providing a dictionary{}
.To specify layer-specific configurations, you can specify a config for each submodule with the key specifying a glob pattern that matches the submodule name. For example, to convert to a dynamic module for all
nn.Linear
layers except for those in the"lm_head"
submodule use:{ "*": {...}, "*lm_head*": None, }
Note that glob expressions are processed sequentially in the order they are specified. Later keys in the config will overwrite earlier keys if they match the same submodule name.
If you want to specify the same configuration for all submodules, you can provide an unnested dictionary as well:
{...}
which is short for
{ "*": {...}, }
- field nn.Sequential: DynamicSequentialConfig | None | Dict[str, DynamicSequentialConfig | None]
Show details
Configuration for dynamic nn.Sequential module.
If the
"nn.Sequential"
key is not specified, the default configuration (shown in JSON) will be used:{ "*": { "min_depth": 0 } }
To deactivate any dynamic nn.Sequential module, use
None
instead of providing a dictionary{}
.To specify layer-specific configurations, you can specify a config for each submodule with the key specifying a glob pattern that matches the submodule name. For example, to convert to a dynamic module for all
nn.Sequential
layers except for those in the"lm_head"
submodule use:{ "*": {...}, "*lm_head*": None, }
Note that glob expressions are processed sequentially in the order they are specified. Later keys in the config will overwrite earlier keys if they match the same submodule name.
If you want to specify the same configuration for all submodules, you can provide an unnested dictionary as well:
{...}
which is short for
{ "*": {...}, }
- field nn.SyncBatchNorm: DynamicSyncBatchNormConfig | None | Dict[str, DynamicSyncBatchNormConfig | None]
Show details
Configuration for dynamic nn.SyncBatchNorm module.
If the
"nn.SyncBatchNorm"
key is not specified, the default configuration (shown in JSON) will be used:{ "*": { "features_ratio": [ 0.5, 0.67, 1.0 ], "feature_divisor": 32 } }
To deactivate any dynamic nn.SyncBatchNorm module, use
None
instead of providing a dictionary{}
.To specify layer-specific configurations, you can specify a config for each submodule with the key specifying a glob pattern that matches the submodule name. For example, to convert to a dynamic module for all
nn.SyncBatchNorm
layers except for those in the"lm_head"
submodule use:{ "*": {...}, "*lm_head*": None, }
Note that glob expressions are processed sequentially in the order they are specified. Later keys in the config will overwrite earlier keys if they match the same submodule name.
If you want to specify the same configuration for all submodules, you can provide an unnested dictionary as well:
{...}
which is short for
{ "*": {...}, }
- ModeloptConfig ExportConfig
Bases:
ModeloptBaseConfig
Configuration for the export mode.
This mode is used to export a model after NAS search.
Show default config as JSON
- Default config (JSON):
{ "strict": true, "calib": false }
- field calib: bool
Show details
Whether to calibrate the subnet before exporting.
- field strict: bool
Show details
Enforces that the subnet configuration must exactly match during export.