diff options
| author | aktersnurra <gustaf.rydholm@gmail.com> | 2021-01-24 22:14:17 +0100 |
|---|---|---|
| committer | aktersnurra <gustaf.rydholm@gmail.com> | 2021-01-24 22:14:17 +0100 |
| commit | 4a54d7e690897dd6e6c719fb908fd371a44c2952 (patch) | |
| tree | 04722ac94b9c3960baa5db7939d7ef01dbf535a6 /src/text_recognizer/networks/vqvae/vector_quantizer.py | |
| parent | d691b548cd0b6fc4ea184d64261f633789fee021 (diff) | |
Many updates, cool stuff on the way.
Diffstat (limited to 'src/text_recognizer/networks/vqvae/vector_quantizer.py')
| -rw-r--r-- | src/text_recognizer/networks/vqvae/vector_quantizer.py | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/src/text_recognizer/networks/vqvae/vector_quantizer.py b/src/text_recognizer/networks/vqvae/vector_quantizer.py index 25e5583..f92c7ee 100644 --- a/src/text_recognizer/networks/vqvae/vector_quantizer.py +++ b/src/text_recognizer/networks/vqvae/vector_quantizer.py @@ -26,7 +26,7 @@ class VectorQuantizer(nn.Module): self.embedding = nn.Embedding(self.K, self.D) # Initialize the codebook. - self.embedding.weight.uniform_(-1 / self.K, 1 / self.K) + nn.init.uniform_(self.embedding.weight, -1 / self.K, 1 / self.K) def discretization_bottleneck(self, latent: Tensor) -> Tensor: """Computes the code nearest to the latent representation. |