epoch

[fido20160817]

where to set max epoch. The code is too implicit for me to follow...

[joanrod]

It is set to 1000 by default by pytorch lightning. You need to set it in the .yaml file, with something like:

lightning:
    trainer:
        (...)
        max_epochs: 2000

[fido20160817]

many thanks!

[sanghamitrajohri]

I cannot see any such thing in the yaml file.
model:
base_learning_rate: 4.5e-6
target: taming.models.vqgan.VQModel
params:
embed_dim: 256
n_embed: 1024
ddconfig:
double_z: False
z_channels: 256
resolution: 256
in_channels: 3
out_ch: 3
ch: 128
ch_mult: [ 1,1,2,2,4] # num_down = len(ch_mult)-1
num_res_blocks: 2
attn_resolutions: [16]
dropout: 0.0

lossconfig:
  target: taming.modules.losses.vqperceptual.VQLPIPSWithDiscriminator
  params:
    disc_conditional: False
    disc_in_channels: 3
    disc_start: 30001
    disc_weight: 0.8
    codebook_weight: 1.0

data:
target: main.DataModuleFromConfig
params:
batch_size: 3
num_workers: 8
train:
target: taming.data.faceshq.FacesHQTrain
params:
size: 256
crop_size: 256
validation:
target: taming.data.faceshq.FacesHQValidation
params:
size: 256
crop_size: 256

[matthew-wave]

Just add new code directly under the. yaml file you need. For example, my dataset is used to train myself, so I added it in the custom_vqgan.yaml file.