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4a87a0d19f
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@ -244,7 +244,7 @@ class GPT(nn.Module):
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def forward(self, idx, targets=None, kv_cache=None, loss_reduction='mean'):
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B, T = idx.size()
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# Grab the rotary embeddings for the current sequence length (they are of shape (1, seq_len, 1, head_dim))
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# Grab the rotary embeddings for the current sequence length (they are of shape (1, seq_len, 1, head_dim/2))
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assert T <= self.cos.size(1), f"Sequence length grew beyond the rotary embeddings cache: {T} > {self.cos.size(1)}"
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assert idx.device == self.cos.device, f"Rotary embeddings and idx are on different devices: {idx.device} != {self.cos.device}"
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assert self.cos.dtype == torch.bfloat16, "Rotary embeddings must be in bfloat16"
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