Files
ieemoo-ai-isempty/models/configs.py
li chen f23dc22752 update
2022-04-08 18:13:02 +08:00

77 lines
2.6 KiB
Python
Executable File

import ml_collections
def get_testing():
"""Returns a minimal configuration for testing."""
config = ml_collections.ConfigDict()
config.patches = ml_collections.ConfigDict({'size': (16, 16)})
config.hidden_size = 1
config.transformer = ml_collections.ConfigDict()
config.transformer.mlp_dim = 1
config.transformer.num_heads = 1
config.transformer.num_layers = 1
config.transformer.attention_dropout_rate = 0.0
config.transformer.dropout_rate = 0.1
config.classifier = 'token'
config.representation_size = None
return config
def get_b16_config():
"""Returns the ViT-B/16 configuration."""
config = ml_collections.ConfigDict()
config.patches = ml_collections.ConfigDict({'size': (16, 16)})
config.split = 'non-overlap'
config.slide_step = 12
config.hidden_size = 768
config.transformer = ml_collections.ConfigDict()
config.transformer.mlp_dim = 3072
config.transformer.num_heads = 12
config.transformer.num_layers = 12
config.transformer.attention_dropout_rate = 0.0
config.transformer.dropout_rate = 0.1
config.classifier = 'token'
config.representation_size = None
return config
def get_b32_config():
"""Returns the ViT-B/32 configuration."""
config = get_b16_config()
config.patches.size = (32, 32)
return config
def get_l16_config():
"""Returns the ViT-L/16 configuration."""
config = ml_collections.ConfigDict()
config.patches = ml_collections.ConfigDict({'size': (16, 16)})
config.hidden_size = 1024
config.transformer = ml_collections.ConfigDict()
config.transformer.mlp_dim = 4096
config.transformer.num_heads = 16
config.transformer.num_layers = 24
config.transformer.attention_dropout_rate = 0.0
config.transformer.dropout_rate = 0.1
config.classifier = 'token'
config.representation_size = None
return config
def get_l32_config():
"""Returns the ViT-L/32 configuration."""
config = get_l16_config()
config.patches.size = (32, 32)
return config
def get_h14_config():
"""Returns the ViT-L/16 configuration."""
config = ml_collections.ConfigDict()
config.patches = ml_collections.ConfigDict({'size': (14, 14)})
config.hidden_size = 1280
config.transformer = ml_collections.ConfigDict()
config.transformer.mlp_dim = 5120
config.transformer.num_heads = 16
config.transformer.num_layers = 32
config.transformer.attention_dropout_rate = 0.0
config.transformer.dropout_rate = 0.1
config.classifier = 'token'
config.representation_size = None
return config