Tensorflow 2 개발환경 셋팅 다 설치하고

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vs 코드에 
import tensorflow as tf
if tf.test.gpu_device_name():
    print('Default GPU Device: {}'.format(tf.test.gpu_device_name()))

이거 썻는데 아무반응도 안나오네요. colab에도 써보니까 아무글자도 안뜨는거 같아요.

[codingapple]

https://precommer.tistory.com/78 이런걸로 출력해봅시다

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아 나오네요. 감사합니다. 
파이썬 지웠다가 다른 버전으로 여러번 깔았다 반복했었네요.
결과는 이렇게 나왔는데 문제 없나요?

[name: "/device:CPU:0" 
device_type: "CPU"     
memory_limit: 268435456
locality {
}
incarnation: 6659180637473674434
xla_global_id: -1
]
Num GPUs Available:  0

[codingapple]

gpu셋팅은 안되어있고 cpu는 잘 사용가능하다는소리입니다

[조승엽]

어찌어찌 해서 겨우 GPU 사용할수 있게 한거 같은데요. 
python실행할때마다 아래처럼 뜨는데 문제 없는건가요?
버전 맞추면서 설치하는 중에 Downgrade the protobuf package to 3.20.x or lower 이게 떠서 지운 후 3.20 버전으로 깔기도 했어요.

2023-04-02 16:48:23.983152: I tensorflow/core/platform/cpu_feature_guard.cc:142] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations:  AVX AVX2
To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.
2023-04-02 16:48:24.379798: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1510] Created device /job:localhost/replica:0/task:0/device:GPU:0 with 9601 MB memory:  -> device: 0, name: NVIDIA GeForce RTX 3060, pci bus id: 0000:07:00.0, compute 
capability: 8.6

 

[codingapple]

넴 보통 GPU:0 뜨면 GPU사용준비되었다는 소리입니다

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import tensorflow as tf
# 키와 신발사이즈는 어떤 관련이 있을까? 딥러닝으로 알아봅시다

# 키 = [170,180,175,160]
# 신발 = [260,270,265,255]

# y = ax + b, 신발 = 키*a + b

키 = 170
신발 = 260
# 신발 = a*키 + b
a = tf.Variable(0.1)
b = tf.Variable(0.2)

def 손실함수():
    예측값 = a*키 + b
    return tf.square(260 - 예측값)  # 손실값^2 = (실제값 - 예측값)^2 , 손실값을 제곱해서 마이너스 없애줌

opt = tf.keras.optimizers.Adam(learning_rate=0.1) # tf.keras.opimizers 경사하강법으로 구하기, Adam(): gradient 알아서 스마트하게 바꿔줌, learning_rate=0.1 : 얼마만큼 w 변수를 업데이트 할꺼냐 설정 안쓰면 기본값 0.001 
opt.minimize(손실함수, var_list=[a,b]) # opt.minmize(손실함수, var_list=[a,b])
# var_list=[a,b] : 경사하강법으로 업데이트할 weight Variable 목록, 위에 a,b 변수만든거 넣어줬음

for i in range(300):
    opt.minimize(손실함수, var_list=[a,b])
    print(a,b)


이렇게 입력했는데 다음과 같은 에러가 나왔어요.

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Traceback (most recent call last):
  File "E:\코딩애플딥러닝딥러닝\tensor1.py", line 19, in <module>
    opt = tf.keras.optimizers.Adam(learning_rate=0.1) # tf.keras.opimizers 경사하강법으로 구하기, Adam(): gradient 알아서 스마트
하게 바꿔줌, learning_rate=0.1 : 얼마만큼 w 변수를 업데이트 할꺼냐 설정 안쓰면 기본값 0.001
  File "C:\Python3.9\lib\site-packages\tensorflow\python\util\lazy_loader.py", line 62, in __getattr__
    module = self._load()
  File "C:\Python3.9\lib\site-packages\tensorflow\python\util\lazy_loader.py", line 45, in _load
    module = importlib.import_module(self.__name__)
  File "C:\Python3.9\lib\importlib\__init__.py", line 127, in import_module
    return _bootstrap._gcd_import(name[level:], package, level)
  File "<frozen importlib._bootstrap>", line 1030, in _gcd_import
  File "<frozen importlib._bootstrap>", line 1007, in _find_and_load
  File "<frozen importlib._bootstrap>", line 972, in _find_and_load_unlocked
  File "<frozen importlib._bootstrap>", line 228, in _call_with_frames_removed
  File "<frozen importlib._bootstrap>", line 1030, in _gcd_import
  File "<frozen importlib._bootstrap>", line 1007, in _find_and_load
  File "<frozen importlib._bootstrap>", line 972, in _find_and_load_unlocked
  File "<frozen importlib._bootstrap>", line 228, in _call_with_frames_removed
  File "<frozen importlib._bootstrap>", line 1030, in _gcd_import
  File "<frozen importlib._bootstrap>", line 1007, in _find_and_load
  File "<frozen importlib._bootstrap>", line 972, in _find_and_load_unlocked
  File "<frozen importlib._bootstrap>", line 228, in _call_with_frames_removed
  File "<frozen importlib._bootstrap>", line 1030, in _gcd_import
  File "<frozen importlib._bootstrap>", line 1007, in _find_and_load
  File "<frozen importlib._bootstrap>", line 986, in _find_and_load_unlocked
  File "<frozen importlib._bootstrap>", line 680, in _load_unlocked
  File "<frozen importlib._bootstrap_external>", line 850, in exec_module
  File "<frozen importlib._bootstrap>", line 228, in _call_with_frames_removed
  File "C:\Python3.9\lib\site-packages\keras\__init__.py", line 21, in <module>
    from keras import models
  File "C:\Python3.9\lib\site-packages\keras\models\__init__.py", line 18, in <module>
    from keras.engine.functional import Functional
  File "C:\Python3.9\lib\site-packages\keras\engine\functional.py", line 26, in <module>
    from keras import backend
  File "C:\Python3.9\lib\site-packages\keras\backend.py", line 34, in <module>
    from keras.dtensor import dtensor_api as dtensor
  File "C:\Python3.9\lib\site-packages\keras\dtensor\__init__.py", line 22, in <module>
    from tensorflow.compat.v2.experimental import dtensor as dtensor_api
  File "C:\Python3.9\lib\site-packages\tensorflow\_api\v2\compat\v2\experimental\dtensor\__init__.py", line 8, in <module>      
    from tensorflow.dtensor.python.accelerator_util import initialize_accelerator_system
  File "C:\Python3.9\lib\site-packages\tensorflow\dtensor\python\accelerator_util.py", line 24, in <module>
    from tensorflow.dtensor.python import tpu_util
  File "C:\Python3.9\lib\site-packages\tensorflow\dtensor\python\tpu_util.py", line 24, in <module>
    from tensorflow.dtensor.python import dtensor_device
  File "C:\Python3.9\lib\site-packages\tensorflow\dtensor\python\dtensor_device.py", line 26, in <module>
    from tensorflow.dtensor.python import gen_dtensor_ops
  File "C:\Python3.9\lib\site-packages\tensorflow\dtensor\python\gen_dtensor_ops.py", line 23, in <module>
    @_dispatch.add_fallback_dispatch_list
AttributeError: module 'tensorflow.python.util.dispatch' has no attribute 'add_fallback_dispatch_list'

잘못입력한건 없는것 같은데 어떻게 하나요?

[조승엽]

검색을 해보니

!pip uninstall tensorflow-estimator
!pip install tensorflow-estimator==2.1
나와서 재설치 했더니 설치는 됬는데 아래같은 빨간 글자가 뜨더라고요.

ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.
tensorflow 2.6.0 requires tensorflow-estimator~=2.6, but you have tensorflow-estimator 2.1.0 which is incompatible.
tensorflow-intel 2.12.0 requires absl-py>=1.0.0, but you have absl-py 0.15.0 which is incompatible.
tensorflow-intel 2.12.0 requires flatbuffers>=2.0, but you have flatbuffers 1.12 which is incompatible.
tensorflow-intel 2.12.0 requires numpy<1.24,>=1.22, but you have numpy 1.19.5 which is incompatible.
tensorflow-intel 2.12.0 requires protobuf!=4.21.0,!=4.21.1,!=4.21.2,!=4.21.3,!=4.21.4,!=4.21.5,<5.0.0dev,>=3.20.3, but you have 
protobuf 3.20.0 which is incompatible.
tensorflow-intel 2.12.0 requires tensorflow-estimator<2.13,>=2.12.0, but you have tensorflow-estimator 2.1.0 which is incompatible.

실행해보니 에러는 아래처럼 여전하더라고요.
AttributeError: module 'tensorflow.python.util.dispatch' has no attribute 'add_fallback_dispatch_list'

[codingapple]

2.6 이상이 필요하다는거같은데 pip install tensorflow-estimator==2.6 해봅시다

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