previous commit broke flax model, fixed now
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@@ -127,10 +127,10 @@ class DalleBartDecoderTorch(nn.Module):
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self.start_token = torch.tensor([start_token]).to(torch.long)
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self.pad_token = torch.tensor([1]).to(torch.long)
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self.condition_factor = torch.tensor([10]).to(torch.float)
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if torch.cuda.is_available():
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self.start_token = self.start_token.cuda()
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self.pad_token = self.pad_token.cuda()
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self.condition_factor = self.condition_factor.cuda()
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# if torch.cuda.is_available():
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# self.start_token = self.start_token.cuda()
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# self.pad_token = self.pad_token.cuda()
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# self.condition_factor = self.condition_factor.cuda()
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self.image_token_count = image_token_count
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self.embed_tokens = nn.Embedding(image_vocab_size + 1, embed_count)
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self.embed_positions = nn.Embedding(image_token_count, embed_count)
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@@ -204,7 +204,7 @@ class DalleBartDecoderTorch(nn.Module):
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for i in range(self.sample_token_count):
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token_index = torch.tensor([i]).to(torch.long)
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if torch.cuda.is_available(): token_index = token_index.cuda()
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# if torch.cuda.is_available(): token_index = token_index.cuda()
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probs, keys_values_state = self.decode_step(
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text_tokens = text_tokens,
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encoder_state = encoder_state,
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