Add fsqvae-celeba-512

fsqvae-celeba-512/ckpt/step0499999/meta.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:df99aa5f4769833bb82ff2e829751b4d07f62f0674714325cb3fc3ab673c2dc8
+size 852

fsqvae-celeba-512/ckpt/step0499999/model.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b8e91ed3fcacc7f7f561ec1c3fbb670a35a0d990a4cc57214af5d068d7cad995
+size 19467542

fsqvae-celeba-512/ckpt/step0499999/optimizer.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:03a9c4821dc869f25dfbfa091ba05239ee9a5306cf037e447bef39c5dc4e9f0e
+size 38938966

fsqvae-celeba-512/config-2024-10-12-20-13-57.yaml

@@ -0,0 +1,39 @@
+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
+    - 8
+    - 8
+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-512/samples.zip

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b5720f2e8ff55fb7cd14cdb1ab00c472865f27b1d9970ac4baed268ac83e0cb4
+size 23667419

fsqvae-celeba-512/tensorboard/events.out.tfevents.1728735237.amax.2535268.0

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:cf48e156062320ff96ca2608d4fb491e741269b46f649ca07431673f843b7131
+size 133917518