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Download models/transformer/encode_decode/decoder.py from JingyuanLtd/LLM-fastAPI: direct link, hf CLI and curl.
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- Download file 598 Bytes
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https://huggingface.co/spaces/JingyuanLtd/LLM-fastAPI/resolve/main/models/transformer/encode_decode/decoder.py
- Command line
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hf download hf://spaces/JingyuanLtd/LLM-fastAPI/models/transformer/encode_decode/decoder.py
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curl -L -o decoder.py https://huggingface.co/spaces/JingyuanLtd/LLM-fastAPI/resolve/main/models/transformer/encode_decode/decoder.py
598 Bytes
| import torch.nn as nn | |
| from models.transformer.encode_decode.clones import clones | |
| from models.transformer.encode_decode.layer_norm import LayerNorm | |
| class Decoder(nn.Module): | |
| "Generic N layer decoder with masking." | |
| def __init__(self, layer, N): | |
| super(Decoder, self).__init__() | |
| self.layers = clones(layer, N) | |
| self.norm = LayerNorm(layer.size) | |
| def forward(self, x, memory, src_mask, tgt_mask): | |
| memory = memory | |
| for layer in self.layers: | |
| x = layer(x, memory, src_mask, tgt_mask) | |
| return self.norm(x) | |