Reputation: 11
Tried to run this code in Sublime:
import tensorflow as tf
from tensorflow.keras.datasets import cifar10
from tensorflow.keras.preprocessing.image import ImageDataGenerator
from tensorflow.keras.models import Sequential
from tensorflow.keras.layers import Dense, Dropout, Activation, Flatten
from tensorflow.keras.layers import Conv2D, MaxPooling2D
import pickle
pickle_in = open("X.pickle","rb")
X = pickle.load(pickle_in)
pickle_in = open("y.pickle","rb")
y = pickle.load(pickle_in)
X = X/255.0
model = Sequential()
model.add(Conv2D(256, (3, 3), input_shape=X.shape[1:]))
model.add(Activation('relu'))
model.add(MaxPooling2D(pool_size=(2, 2)))
model.add(Conv2D(256, (3, 3)))
model.add(Activation('relu'))
model.add(MaxPooling2D(pool_size=(2, 2)))
model.add(Flatten()) # this converts our 3D feature maps to 1D feature vectors
model.add(Dense(64))
model.add(Activation('relu'))
model.add(Dense(1))
model.add(Activation('sigmoid'))
model.compile(loss='binary_crossentropy',
optimizer='adam',
metrics=['accuracy'])
model.fit(X, y, batch_size=32, epochs=10, validation_split=0.3)
but I keep getting those errors:
Traceback (most recent call last):
File "D:\catsdogsai\catsdogsai\catsdogsai.py", line 1, in <module>
import tensorflow as tf
File "C:\Users\Edward\Anaconda3\envs\aitest\lib\site-packages\tensorflow\__init__.py", line 28, in <module>
from tensorflow.python import pywrap_tensorflow # pylint: disable=unused-import
File "C:\Users\Edward\Anaconda3\envs\aitest\lib\site-packages\tensorflow\python\__init__.py", line 47, in <module>
import numpy as np
File "C:\Users\Edward\Anaconda3\envs\aitest\lib\site-packages\numpy\__init__.py", line 140, in <module>
from . import _distributor_init
File "C:\Users\Edward\Anaconda3\envs\aitest\lib\site-packages\numpy\_distributor_init.py", line 34, in <module>
from . import _mklinit
ImportError: DLL load failed: The specified module could not be found.
I have installed all the modules, activated the env on Sublime too but still nothing.
Triend reinstalling everything but it's still nothing good, same errors.
Upvotes: 0
Views: 108
Reputation: 11
Solved!
I had to downgrade the CUDA from 10.1 to 10.0 since apparently tensorflow only supports 10.0.
Upvotes: 1