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# coding=utf-8
# Copyright 2024 The Emu team, BAAI and The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
""" Logits Processor Helper class for Emu3. """
import torch
class Emu3PrefixConstrainedLogitsHelper:
def __init__(
self,
height,
width,
img_token,
eoi_token,
eos_token,
eol_token,
eof_token,
pad_token,
visual_tokens,
):
self.height = height
self.width = width
self.img_token = img_token
self.eoi_token = eoi_token
self.eos_token = eos_token
self.eol_token = eol_token
self.eof_token = eof_token
self.pad_token = pad_token
self.visual_tokens = visual_tokens
self.offset_cache = {}
def __call__(self, batch_id, input_ids):
if batch_id not in self.offset_cache:
position = torch.nonzero(input_ids == self.img_token, as_tuple=True)[0][0]
self.offset_cache[batch_id] = position
height = self.height[batch_id] if self.height.shape[0] > 1 else self.height[0]
width = self.width[batch_id] if self.width.shape[0] > 1 else self.width[0]
offset = input_ids.shape[0] - self.offset_cache[batch_id]
height = height.to(offset.device)
width = width.to(offset.device)
if offset % (width + 1) == 0:
return (self.eol_token, )
elif offset == (width + 1) * height + 1:
return (self.eof_token, )
elif offset == (width + 1) * height + 2:
return (self.eoi_token, )
elif offset == (width + 1) * height + 3:
return (self.eos_token, )
elif offset > (width + 1) * height + 3:
return (self.pad_token, )
else:
return self.visual_tokens
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