Add fsqvae-celeba-1000

fsqvae-celeba-1000/ckpt/step0499999/meta.pt

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+oid sha256:df99aa5f4769833bb82ff2e829751b4d07f62f0674714325cb3fc3ab673c2dc8
+size 852

fsqvae-celeba-1000/ckpt/step0499999/model.pt

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+oid sha256:effd101e05b713ccd9540d0d0bcca2c4f7904a79c026f6cdffab57e4be1d0c05
+size 19469590

fsqvae-celeba-1000/ckpt/step0499999/optimizer.pt

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+oid sha256:fc548e78d8608dac4919a31cc44fa6086e70b3526405300eb737d852e663acce
+size 38943062

fsqvae-celeba-1000/config-2024-10-12-20-07-04.yaml

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+seed: 8888
+data:
+  name: celeba
+  root: ~/data/CelebA/
+  img_size: 64
+dataloader:
+  num_workers: 4
+  pin_memory: true
+  prefetch_factor: 2
+encoder:
+  target: models.autoencoder.simple_cnn.Encoder
+  params:
+    img_channels: 3
+    hidden_dim: 256
+    n_resblocks: 2
+decoder:
+  target: models.autoencoder.simple_cnn.Decoder
+  params:
+    img_channels: 3
+    hidden_dim: 256
+    n_resblocks: 2
+quantizer:
+  target: models.quantizer.FiniteScalarQuantizer
+  params:
+    levels:
+    - 8
+    - 5
+    - 5
+    - 5
+train:
+  n_steps: 500000
+  batch_size: 256
+  coef_commit: 0.25
+  print_freq: 100
+  sample_freq: 10000
+  save_freq: 10000
+  optim:
+    target: torch.optim.Adam
+    params:
+      lr: 0.0004

fsqvae-celeba-1000/samples.zip

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+size 23722182

fsqvae-celeba-1000/tensorboard/events.out.tfevents.1728734824.amax.2533317.0

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+size 133917518