python - Error: No algorithm worked! Function call stack: train_function

Question

I have just installed the tensorflow-gpu version(tf-nightly) plus all the drivers I needed but now I am Constantly running into errors! Here is my Code:

import tensorflow as tf 
from tensorflow.keras.models import Sequential
from tensorflow.keras.layers import Dense,Dropout,Activation, Flatten, Conv2D, MaxPooling2D, Reshape
from tensorflow.keras.callbacks import TensorBoard
import time
import pickle
import numpy as np
from tensorflow.compat.v1 import ConfigProto
from tensorflow.compat.v1 import InteractiveSession

config = ConfigProto()
config.gpu_options.allow_growth = True
session = InteractiveSession(config=config)



NAME = "happy-or-sad-cnn-no-Dense-64x2{}".format(int(time.time()))

tensorboard = TensorBoard(log_dir='logs/{}'.format(NAME))

pickle_in = open("X.pickle","rb")
X = pickle.load(pickle_in)

pickle_in = open("y.pickle","rb")
y = pickle.load(pickle_in)

X=np.array(X/255.0)
y=np.array(y)

model = Sequential()
model.add(Reshape((100,100,1)))
model.add(Conv2D(64, (3,3), input_shape = X.shape[1:]))
model.add(Activation("relu"))
model.add(MaxPooling2D(pool_size=(2,2)))

model.add(Conv2D(64, (3,3)))
model.add(Activation("relu"))
model.add(MaxPooling2D(pool_size=(2,2)))
model.add(Flatten())

# 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=5,epochs=10, validation_split=0.1, callbacks=[tensorboard])

InteractiveSession.close()

Here is the full error:

No algorithm worked! [[node sequential_5/conv2d_10/Conv2D (defined at :51) ]] [Op:__inference_train_function_4453]

Function call stack: train_function

Answer 1

等待大神答复