Upload 17 files
Browse files- model-00001-of-00003.safetensors +2 -2
- model-00002-of-00003.safetensors +2 -2
- model-00003-of-00003.safetensors +2 -2
- modeling_prismatic.py +0 -2
- tokenizer.model +2 -2
model-00001-of-00003.safetensors
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version https://git-lfs.github.com/spec/v1
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version https://git-lfs.github.com/spec/v1
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size 6948961960
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model-00002-of-00003.safetensors
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version https://git-lfs.github.com/spec/v1
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version https://git-lfs.github.com/spec/v1
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size 6971232040
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model-00003-of-00003.safetensors
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version https://git-lfs.github.com/spec/v1
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version https://git-lfs.github.com/spec/v1
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oid sha256:ea65305a1577f36f721965bf84c8caec0a948ce7ce84d754701637376c531fef
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size 1162406824
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modeling_prismatic.py
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@@ -517,8 +517,6 @@ class OpenVLAForActionPrediction(PrismaticForConditionalGeneration):
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# Run VLA inference
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generated_ids = self.generate(input_ids, max_new_tokens=self.get_action_dim(unnorm_key), **kwargs)
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print(generated_ids)
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# Extract predicted action tokens and translate into (normalized) continuous actions
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predicted_action_token_ids = generated_ids[0, -self.get_action_dim(unnorm_key) :].cpu().numpy()
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discretized_actions = self.vocab_size - predicted_action_token_ids
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# Run VLA inference
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generated_ids = self.generate(input_ids, max_new_tokens=self.get_action_dim(unnorm_key), **kwargs)
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# Extract predicted action tokens and translate into (normalized) continuous actions
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predicted_action_token_ids = generated_ids[0, -self.get_action_dim(unnorm_key) :].cpu().numpy()
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discretized_actions = self.vocab_size - predicted_action_token_ids
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tokenizer.model
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version https://git-lfs.github.com/spec/v1
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version https://git-lfs.github.com/spec/v1
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size 499723
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