git下载2023.8.18日PaddleMIX库文件，cd PaddleMIX && pip install -e . 安装。
paddle-bfloat 0.1.7
paddle-pipelines 0.5.3
paddle2onnx 1.0.8
paddlefsl 1.1.0
paddlemix 0.1.0 /code/PaddleMIX
paddlenlp 2.6.0rc0.post0
paddleocr 2.6.1.3
paddlepaddle-gpu 2.5.1.post117
numpy 1.24.3
---------------------------------------------------------------------------
AttributeError Traceback (most recent call last)
Cell In[1], line 1
----> 1 from paddlemix import Appflow
File /code/PaddleMIX/paddlemix/__init__.py:16
1 # copyright (c) 2023 paddlepaddle authors. all rights reserved.
2 # copyright 2023 the salesforce team authors and the huggingface team. all rights reserved.
3 #
(...)
13 # see the license for the specific language governing permissions and
14 # limitations under the license.
---> 16 from .appflow import *
17 from .datasets import *
18 from .models import *
File /code/PaddleMIX/paddlemix/appflow/__init__.py:15
1 # Copyright (c) 2023 PaddlePaddle Authors. All Rights Reserved.
2 #
3 # Licensed under the Apache License, Version 2.0 (the "License");
(...)
12 # See the License for the specific language governing permissions and
13 # limitations under the License.
---> 15 from .appflow import Appflow
File /code/PaddleMIX/paddlemix/appflow/appflow.py:20
16 import paddle
18 from paddlemix.utils.tools import get_env_device
---> 20 from .configuration import APPLICATIONS
23 class Appflow(object):
24 """
25 Args:
26 app (str): The app name for the Appflow, and get the task class from the name.
(...)
32
33 """
File /code/PaddleMIX/paddlemix/appflow/configuration.py:20
15 from .image2image_text_guided_generation import (
16 StableDiffusionImg2ImgTask,
17 StableDiffusionUpscaleTask,
18 )
19 from .image2text_generation import Blip2CaptionTask
---> 20 from .openset_det_sam import OpenSetDetTask, OpenSetSegTask
21 from .text2image_generation import StableDiffusionTask, VersatileDiffusionDualGuidedTask
22 from .text2image_inpaiting import StableDiffusionInpaintTask
File /code/PaddleMIX/paddlemix/appflow/openset_det_sam.py:18
15 import paddle
16 import paddle.nn.functional as F
---> 18 from paddlemix.models.groundingdino.modeling import GroundingDinoModel
19 from paddlemix.models.sam.modeling import SamModel
20 from paddlemix.processors.groundingdino_processing import GroudingDinoProcessor
File /code/PaddleMIX/paddlemix/models/groundingdino/modeling.py:26
23 from paddlenlp.utils.initializer import constant_, xavier_uniform_
25 from .backbone import build_backbone
---> 26 from .bertwarper import BertModelWarper
27 from .configuration import GroundingDinoConfig
28 from .transformer import build_transformer
File /code/PaddleMIX/paddlemix/models/groundingdino/bertwarper.py:21
16 import paddle.nn as nn
17 from paddlenlp.transformers.model_outputs import (
18 BaseModelOutputWithPoolingAndCrossAttentions,
19 )
---> 21 from .bert_model import BertModel
24 class BertModelWarper(nn.Layer):
25 def __init__(self, bert_model):
File /code/PaddleMIX/paddlemix/models/groundingdino/bert_model.py:455
451 pooled_output = self.activation(pooled_output)
452 return pooled_output
--> 455 class BertModel(nn.Layer):
456 """
457
458 The model can behave as an encoder (with only self-attention) as well as a decoder, in which case a layer of
(...)
465 `add_cross_attention` set to `True`; an `encoder_hidden_states` is then expected as an input to the forward pass.
466 """
468 def __init__(self, config, add_pooling_layer=True):
File /code/PaddleMIX/paddlemix/models/groundingdino/bert_model.py:495, in BertModel()
487 for layer, heads in heads_to_prune.items():
488 self.encoder.layer[layer].attention.prune_heads(heads)
490 def get_extended_attention_mask(
491 self,
492 attention_mask: paddle.Tensor,
493 input_shape: Tuple[int],
494 device: str = None,
--> 495 dtype: np.float = None,
496 ) -> paddle.Tensor:
497 if dtype is None:
498 dtype = np.float32
File /opt/conda/lib/python3.10/site-packages/numpy/__init__.py:305, in __getattr__(attr)
300 warnings.warn(
301 f"In the future `np.{attr}` will be defined as the "
302 "corresponding NumPy scalar.", FutureWarning, stacklevel=2)
304 if attr in __former_attrs__:
--> 305 raise AttributeError(__former_attrs__[attr])
307 # Importing Tester requires importing all of UnitTest which is not a
308 # cheap import Since it is mainly used in test suits, we lazy import it
309 # here to save on the order of 10 ms of import time for most users
310 #
311 # The previous way Tester was imported also had a side effect of adding
312 # the full `numpy.testing` namespace
313 if attr == 'testing':
AttributeError: module 'numpy' has no attribute 'float'.
`np.float` was a deprecated alias for the builtin `float`. To avoid this error in existing code, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here.
The aliases was originally deprecated in NumPy 1.20; for more details and guidance see the original release note at:
https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
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