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# AutoencoderSAME

The **SAME** (Semantically-Aligned Music Encoder) autoencoder is used by [Stable Audio 3](https://stability.ai/news/stable-audio-3)
to compress stereo audio waveforms into a compact latent sequence and reconstruct them.

The encoder stacks [`SAMETransformerResamplingBlock`] modules, each of which groups a fixed number of audio
patch frames and produces one learnable output token via a differential transformer. The decoder inverts this
process, expanding each latent token back to a patch of audio frames.

A soft-norm bottleneck (`SoftNormBottleneck`) normalises latents before and after the diffusion model,
providing stable training dynamics.

## AutoencoderSAME

[[autodoc]] AutoencoderSAME
	- all
	- encode
	- decode

## SAMETransformerResamplingBlock

[[autodoc]] models.autoencoders.autoencoder_same.SAMETransformerResamplingBlock

## AutoencoderSAMEOutput

[[autodoc]] models.autoencoders.autoencoder_same.AutoencoderSAMEOutput

## AutoencoderSAMEDecoderOutput

[[autodoc]] models.autoencoders.autoencoder_same.AutoencoderSAMEDecoderOutput