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authorGustaf Rydholm <gustaf.rydholm@gmail.com>2021-08-04 15:15:26 +0200
committerGustaf Rydholm <gustaf.rydholm@gmail.com>2021-08-04 15:15:26 +0200
commit04c40f790e405ced6e6b90cf0a8aea268b9345c4 (patch)
treed5e05ee09fa99ee8d56d5373bde18626274a1fdd /text_recognizer/networks/vqvae
parentd3afa310f77f47553586eeee58e3d3345a754e2c (diff)
Add char htr experiment, rename from ocr to htr, vqvae loss collapses
Diffstat (limited to 'text_recognizer/networks/vqvae')
-rw-r--r--text_recognizer/networks/vqvae/quantizer.py2
1 files changed, 0 insertions, 2 deletions
diff --git a/text_recognizer/networks/vqvae/quantizer.py b/text_recognizer/networks/vqvae/quantizer.py
index 5e0b602..1b59e78 100644
--- a/text_recognizer/networks/vqvae/quantizer.py
+++ b/text_recognizer/networks/vqvae/quantizer.py
@@ -83,8 +83,6 @@ class VectorQuantizer(nn.Module):
def compute_ema(self, one_hot_encoding: Tensor, latent: Tensor) -> None:
batch_cluster_size = one_hot_encoding.sum(axis=0)
batch_embedding_avg = (latent.t() @ one_hot_encoding).t()
- print(batch_cluster_size.shape)
- print(self.embedding._cluster_size.shape)
self.embedding._cluster_size.data.mul_(self.decay).add_(
batch_cluster_size, alpha=1 - self.decay
)